JP2007047858A - Article storage examination system and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a technology for examining storage in a short time even when article dimensions are extremely smaller than a storage container, and several hundreds to several thousands of articles are stored in a storage container. <P>SOLUTION: The capability of storage is examined based on the aspect ratio of a simple stereoscopic graphic model corresponding to an order article and the closest packing rate to the aspect ratio. Thus, it is possible to reduce data amounts to be dealt with, and to perform an arithmetic operation by a simple logic, and to perform storage examination in a short time. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an article accommodation examination system for carrying out an accommodation examination performed when an article is accommodated in a container, and a program for carrying out an accommodation examination.

In the manufacturing industry, general articles are transported in a state where they are individually stored in a storage box, etc., and when considering logistics, transportation planning and transportation based on the volume and weight of the stored state It is necessary to calculate the cost.
At the time of this physical distribution study, conventionally, by actually procuring and storing articles, the form after storage, that is, the packing state, is confirmed, the volume after the storage is confirmed, the storage container is selected, and the like.

However, in the manufacturing industry in recent years, it has become difficult to actually procure and examine goods at the time of physical distribution consideration or accommodation consideration due to the progress of shortening the development period without trial production (no trial production). .
Even if an article is actually procured and considered for accommodation, if an article design change or the like occurs after the examination and the shape of the article to be accommodated is changed, it is necessary to redo the accommodation examination. In particular, when the design change is made, it is difficult to obtain a new article, and the article cannot be obtained until immediately before shipment, resulting in a delay in determining the packing form.
In addition, if it becomes clear at the time of shipment that the container cannot be accommodated at the time of shipment, a structure for loading the container into a larger container called a module for packing the container must be examined, which is given to the logistics plan and the container examination. The impact will be very large.

In view of the above situation, in recent years, a technology (digital accommodation study) has been devised in which accommodation studies are performed in advance using CAD data or the like (see, for example, Patent Document 1).
In this digital accommodation study, it is possible to study accommodation of a relatively large article or an article with a small number of accommodations by using CAD data, and at the same time, the accommodation container and the like can be determined efficiently.
Japanese Patent Application Laid-Open No. 11-338938 Japanese Patent Laid-Open No. 5-81302

  In the above-described conventional digital accommodation study, the CAD data used for computation is related to a relatively large article or an article with a small number of articles, and since the number of articles is small, computation is performed with the current computer processing capability. It can be said that processing is possible.

  However, when the article size is very small compared to the storage container and hundreds to thousands of articles are stored in a single storage container (so-called loose storage), how many small parts are stored. It can be said that it is difficult to grasp “accommodation” of the accommodation examination, such as whether or not it is possible to do so, by “calculation processing”.

The reason why “computing processing in a short time” becomes difficult is that it is practically impossible to handle individual CAD data of hundreds to thousands of articles at a time with the current computer processing power. .
That is, in some cases, it is assumed that several hours to several days are required for the arithmetic processing for performing one study, and it is difficult to put it to practical use. Further, in the system form by the client-server via the network, the response from the server is too slow, and it is practically impossible to apply the system form to the business.

  In addition, the reason why “accurate grasp” is difficult is that it is difficult to reproduce a situation in which articles overlap each other by CAD data. Actually, it has been confirmed that there is a difference between the storage state of the article reproduced using a computer and the actual storage state.

  Furthermore, in the conventional digital accommodation examination, the accommodation examination is made on the assumption that the shape of the accommodation container is not deformed. Therefore, it is impossible to consider the accommodation of the accommodation container having a deformed shape such as a bag. Met.

Therefore, the present invention has a very small article size as compared with the container, and even when hundreds to thousands of articles (such as fine parts) are accommodated in the container. We propose a technology that makes it possible to consider accommodation in time.
Further, the present invention proposes a technique that makes it possible to determine the number of accommodations even when the accommodation container is deformed.

  The problem to be solved by the present invention is as described above. Next, means for solving the problem will be described.

That is, as described in claim 1,
An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D3 for storing the closest packing ratio data in which the aspect ratio of the three-dimensional figure model is associated with the closest packing ratio corresponding to the aspect ratio;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the ordered article obtained by the means M1 from the means D2.
Based on the shape data acquired by the means M2, a means for obtaining a three-dimensional figure model containing the order article by calculation, and means for calculating an aspect ratio of the obtained three-dimensional figure model;
Means M4 for obtaining a close-packing rate corresponding to the aspect ratio determined by the means M3 from the means D3;
While calculating | requiring the volume of the solid figure model calculated | required by the said means M3, the volume of the calculated | required solid figure model, the closest packing rate calculated | required by the said means M4, and the order in the said order data acquired by the said means M1 Means M5 for calculating the article volume formed by the ordered articles for the number of orders from the quantity;
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 2,
Means D6 for storing a plurality of types of three-dimensional figure models as model data for the three-dimensional figure model;
Means M11 for grasping the three-dimensional shape of the order article from the shape data acquired by the means M2 and selecting the three-dimensional figure model closest to the three-dimensional shape of the order article from the model data;
Comprising
In the means M3, the solid figure model selected by the means M11 is adopted, and the aspect ratio of the solid figure model is obtained by calculation,
In the means D3, the closest packing rate data in which the aspect ratio of each solid figure model of the model data is associated with the closest packing rate corresponding to each aspect ratio is stored,
The means M4 is an article accommodation examination system in which the closest packing rate is acquired using the closest packing rate data corresponding to the solid figure model selected by the means M11. .

Moreover, as described in claim 3,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
The length ratio of the long side dimension L of the solid figure model obtained by the means M3 and the long side dimension L2 of the container obtained by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D5 for storing the filling rate correction value data;
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is obtained by calculation, and the means obtained by calculation from the means D5. Means M9 for obtaining a filling rate correction value corresponding to the length ratio;
Means M10 for correcting the close-packed filling rate obtained by the means M4 by multiplying the close-packed filling rate obtained by the means M4 by multiplying the filling rate correction value obtained by the means M9;
It is set as the goods accommodation examination system made into the structure which comprises this.

Moreover, as described in claim 4,
Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 5,
An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D7 in which representative articles of the same type as the ordered article are defined, and shape data specifying the shape of the representative article is stored as representative article data;
Means D13 for storing the closest packing rate of the representative article as the closest packing rate data;
When the dimensions of the ordered article and the representative article are different, the size changes according to the size of the different dimension, and the representative article filling rate correction value for correcting the closest packing rate is filled with the representative article. Means D8 for storing as rate correction value data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
A means M12 for selecting a representative article of the same type as the ordered article obtained by the means M1 from the means D7, and obtaining shape data of the representative article;
Means M13 for comparing the shape data of the representative article acquired by the means M12 with the shape data of the ordered article;
Means M14 for obtaining the closest packing rate corresponding to the representative article from the means D13;
In the means M13, means M15 for comparing the shape data of the representative article and the shape data of the ordered article;
In the means M15, when the shape data of the representative article is different from the shape data of the ordered article, the means D15 obtains the representative article filling rate correction value corresponding to the size of the different dimensions from the means D8. Means M16 for correcting the closest packing rate acquired by the means M14 using the acquired representative article filling rate correction value;
The volume of the ordered article is obtained by calculation from the shape data obtained by the means M2, and the volume of the ordered article obtained and the closest packing rate obtained by the means M14 or the corrected quantity obtained by the means M16. Means M17 for calculating an article volume formed by the ordered articles for the number of orders from the closest packing rate and the order quantity in the order data acquired by the means M1;
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 6,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
Filling in which the length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D15 for storing rate correction value data;
The length ratio of the long side dimension L3 of the ordered article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is obtained by calculation, and the length obtained by calculation from the means D15. Means M18 for obtaining a filling rate correction value corresponding to the ratio;
By multiplying the filling rate correction value obtained by the means M18 by the closest packing rate obtained by the means M14 or the corrected closest packing rate obtained by the means M16, the means M14 Means M19 for correcting the close-packed filling rate acquired by the close-packed filling rate acquired by the above-mentioned means M16 or the corrected close-packed filling rate obtained by the means M16;
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 7,
Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
It is set as the goods accommodation examination system which comprises.

Further, as described in claim 8,
A long side dimension L1 of the ordered article obtained by the means M1, and
Compare the container long side dimension L2 of the container obtained by the means M6,
When the length ratio of the long side dimension L1 to the long side dimension L2 in the container is a predetermined value or more,
The article accommodation examination system is provided with means M41 for terminating the accommodation examination process.

Further, as described in claim 9,
An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
Means M21 for identifying a virtual plane, which is a cut surface when a vertical halfway portion of the container obtained by the means M6 is cut by a horizontal plane, from the specifications of the container;
Means for rotating the ordered articles obtained by the means M2 one by one around an axis perpendicular to the virtual plane so as not to overlap each other with respect to the virtual plane specified by the means M21 M22,
A frame surrounding all the order articles placed on the virtual plane by bringing the newly placed order article into contact with the order article already placed on the virtual plane by the means M22, and the virtual plane Means M23 for forming a virtual frame of similar shape;
When the number of the order articles arranged on the virtual plane increases and the area of the virtual frame exceeds the area of the virtual plane, the number obtained by subtracting 1 from the total number of the order articles already arranged Means M24, which is defined as the number of order articles arranged on a plane;
The height dimension of the storage container acquired by the means M6 is divided by the height dimension of the order article placed in the virtual plane to obtain the number of storable steps in the virtual plane in which the order article is placed. And an article accommodation examination system comprising means M25 for obtaining the number of ordered articles that can be accommodated in the accommodation container by multiplying the number of storable stages by the number of arrangements obtained by the virtual plane means M24. It is.

Moreover, as described in claim 10,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M26 for determining the number of ordered items that can be stored in the storage container for each installation mode;
It is set as the goods accommodation examination system which comprises.

Further, as described in claim 11,
An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means D9 for storing an alignment arrangement pattern when aligning and arranging articles with respect to a prescribed plane shape as alignment arrangement pattern data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
When the type of the container obtained by the means M6 is a bag, a means M31 for specifying a virtual plane, which is a cut surface when the middle part in the vertical direction of the bag is cut by a horizontal plane, from the specifications of the container When,
Means M32 for determining whether or not the alignment arrangement pattern can be applied to the arrangement of the order articles acquired by the means M2 with respect to the virtual plane specified by the means M31;
When the means M32 determines that the aligned arrangement pattern is applicable, the number of ordered articles arranged on the virtual plane specified from the aligned arrangement pattern is obtained and formed on the virtual plane. Means M33 for determining whether or not an additional order article can be placed in a surplus area, and determining the number of order articles that can be placed on the virtual plane;
Means M34 for obtaining an effective height that is a range in which the virtual plane is formed from the specifications of the container;
The effective height obtained by the means M34 is divided by the height dimension of the order article placed on the virtual plane to obtain the number of storable steps of the virtual plane on which the order article is placed, and the accommodation possible Means M35 for multiplying the number of steps by the number of ordered articles determined by the virtual plane means M33 to determine the number of ordered articles that can be stored in the storage container;
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 12,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M36 for obtaining the number of ordered articles that can be arranged on the virtual plane for each of the installation forms,
It is set as the goods accommodation examination system which comprises.

Moreover, as described in claim 13,
In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D3 for storing the closest packing ratio data in which the aspect ratio of the three-dimensional figure model is associated with the closest packing ratio corresponding to the aspect ratio;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the ordered article obtained by the means M1 from the means D2.
Means M3 for obtaining a three-dimensional figure model containing the ordered article by calculation based on the shape data acquired by the means M2, and for obtaining an aspect ratio of the obtained three-dimensional figure model by calculation;
Means M4 for obtaining the closest packing ratio corresponding to the aspect ratio determined by the means M3 from the means D3;
While calculating | requiring the volume of the solid figure model calculated | required by the said means M3, the volume of the calculated | required solid figure model, the closest packing rate calculated | required by the said means M4, and the order in the said order data acquired by the said means M1 Means M5 for calculating an article volume formed by the ordered articles for the number of orders from the number,
As a program to function as.

Further, as described in claim 14,
The program is a computer,
Means D6 for storing a plurality of types of solid figure models as model data for the solid figure model;
Function as means M11 for grasping the three-dimensional shape of the order article from the shape data acquired by the means M2 and selecting the three-dimensional figure model closest to the three-dimensional shape of the order article from the model data As well as
In the means M3, the solid figure model selected by the means M11 is adopted, and the aspect ratio of the solid figure model is obtained by calculation,
In the means D3, the closest packing rate data in which the aspect ratio of each solid figure model of the model data is associated with the closest packing rate corresponding to each aspect ratio is stored,
In the means M4, the closest packing rate is acquired using the closest packing rate data corresponding to the solid figure model selected by the means M11.

Moreover, as described in claim 15,
The program is a computer,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
The length ratio between the long side dimension L of the solid figure model obtained by the means M3 and the long side dimension L2 of the container obtained by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D5 for storing the filling rate correction value data;
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is obtained by calculation, and the means obtained by calculation from the means D5. Means M9 for obtaining a filling rate correction value corresponding to the length ratio;
Means M10 for correcting the closest packing rate obtained by the means M4 by multiplying the closest packing rate obtained by the means M4 by the filling rate correction value obtained by the means M9;
It is supposed to function as.

Further, as described in claim 16,
The program is a computer,
Means M7 for calculating the volume of the storage container based on the specifications of the storage container acquired by the means M6, and for determining the filling rate which is the ratio of the volume of the article to the volume of the storage container calculated;
Means M8 for judging whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7;
It is supposed to function as.

Moreover, as described in claim 17,
In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D7 for defining a representative article of the same type as the ordered article and storing shape data specifying the shape of the representative article as representative article data;
Means D13 for storing the closest packing rate of the representative article as the closest packing rate data;
When the dimensions of the ordered article and the representative article are different, the size changes according to the size of the different dimension, and the representative article filling rate correction value for correcting the closest packing rate is filled with the representative article. Means D8 for storing as rate correction value data;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M12 for selecting a representative article of the same type as the order article obtained by the means M1 from the means D7, and obtaining shape data of the representative article;
Means M13 for comparing the shape data of the representative article acquired by the means M12 with the shape data of the ordered article;
Means M14 for obtaining a closest packing rate corresponding to the representative article from the means D13;
Means M15 for comparing the shape data of the representative article with the shape data of the order article in the means M13;
In the means M15, when the shape data of the representative article is different from the shape data of the ordered article, the means D15 obtains the representative article filling rate correction value corresponding to the size of the different dimensions from the means D8. Means M16 for correcting the closest packing rate acquired by the means M14 using the acquired representative article filling rate correction value;
The volume of the ordered article is obtained by calculation from the shape data obtained by the means M2, and the volume of the ordered article obtained and the closest packing rate obtained by the means M14 or the corrected quantity obtained by the means M16. Means M17 for calculating an article volume formed by the ordered articles for the number of orders from the closest packing ratio and the number of orders in the order data acquired by the means M1;
This is a program that functions as

Further, as described in claim 18,
The program is a computer,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
Filling in which the length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D15 for storing rate correction value data;
The length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is obtained by calculation, and the length obtained by calculation from the means D15. Means M18 for obtaining a filling rate correction value corresponding to the ratio;
By multiplying the filling rate correction value obtained by the means M18 by the closest packing rate obtained by the means M14 or the corrected closest packing rate obtained by the means M16, the means M14 Means M19 for correcting the close-packed filling rate acquired by the close-packed filling rate acquired by the above-described means M16 or the corrected close-packed filling rate obtained by the means M16,
It is supposed to function as.

Further, as described in claim 19,
The program is a computer,
Means M7 for calculating the volume of the storage container based on the specifications of the storage container acquired by the means M6, and for determining the filling rate which is the ratio of the volume of the article to the volume of the storage container calculated;
Means M8 for judging whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7;
It is supposed to function as.

Moreover, as described in claim 20,
The program is a computer,
A long side dimension L1 of the ordered article obtained by the means M1, and
Compare the container long side dimension L2 of the container obtained by the means M6,
When the length ratio of the long side dimension L1 to the long side dimension L2 in the container is a predetermined value or more,
Means M41 for terminating the accommodation examination process;
It is supposed to function as.

Further, as described in claim 21,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
Means M21 for identifying a virtual plane, which is a cut surface when a vertical halfway portion of the container obtained by the means M6 is cut along a horizontal plane, from the specifications of the container;
Means for rotating the ordered articles obtained by the means M2 one by one around an axis perpendicular to the virtual plane so as not to overlap each other with respect to the virtual plane specified by the means M21 M22,
A frame surrounding all the order articles placed on the virtual plane by bringing the newly placed order article into contact with the order article already placed on the virtual plane by the means M22, and the virtual plane Means M23 for forming a virtual frame of similar shape;
When the number of the order articles arranged on the virtual plane increases and the area of the virtual frame exceeds the area of the virtual plane, the number obtained by subtracting 1 from the total number of the order articles already arranged Means M24, which is defined as the number of order articles arranged on a plane;
The height dimension of the storage container acquired by the means M6 is divided by the height dimension of the order article placed in the virtual plane to obtain the number of storable steps in the virtual plane in which the order article is placed. And means M25 for obtaining the number of order articles that can be accommodated in the accommodation container by multiplying the number of storable stages by the number of arrangements obtained by the virtual plane means M24.
As a program to function as.

Moreover, as described in claim 22,
The program is a computer,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M26 for determining the number of ordered items that can be stored in the storage container for each installation mode;
It is supposed to function as.

Moreover, as described in claim 23,
In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means D9 for storing, as arrangement arrangement pattern data, an arrangement arrangement pattern when the articles are arranged in alignment with respect to a prescribed plane shape;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
When the type of the container obtained by the means M6 is a bag, a means M31 for specifying a virtual plane, which is a cut surface when the middle part in the vertical direction of the bag is cut by a horizontal plane, from the specifications of the container ,
Means M32 for determining whether or not the alignment arrangement pattern can be applied to the arrangement of the order articles acquired by the means M2 with respect to the virtual plane specified by the means M31;
When the means M32 determines that the aligned arrangement pattern is applicable, the number of ordered articles arranged on the virtual plane specified from the aligned arrangement pattern is obtained and formed on the virtual plane. Means M33 for determining whether or not the order article can be additionally arranged in the surplus area and obtaining the number of order articles that can be arranged on the virtual plane;
Means M34 for obtaining an effective height which is a range in which the virtual plane is formed from the specifications of the container;
The effective height obtained by the means M34 is divided by the height dimension of the order article placed on the virtual plane to obtain the number of storable steps of the virtual plane on which the order article is placed, and the accommodation possible Means M35 for determining the number of ordered articles that can be accommodated in the container by multiplying the number of steps by the number of ordered articles determined by the virtual plane means M33;
As a program to function as.

Further, as described in claim 24,
The program is a computer,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M36 for obtaining the number of ordered articles that can be arranged on the virtual plane for each of the installation forms,
It is supposed to function as.

In the inventions of the above claims 1 and 13,
Based on the aspect ratio of a simple three-dimensional figure model corresponding to the order article and the closest packing ratio with respect to the aspect ratio, the possibility of accommodation will be examined. As a result, it will be possible to consider accommodation in a short time.
Further, in the conventional technology, it is difficult to predict the accommodation state by using a plurality of actual CAD data of the article itself. However, in the present invention, the accommodation state (based on the closest packing rate obtained in advance) By predicting the (article volume), it is possible to eliminate the difficulty of predicting the accommodation state.

Further, in the invention according to claim 2 and claim 14,
Increase the variation of the solid figure model corresponding to the shape of the ordered article, and determine the aspect ratio and the closest packing ratio based on the solid figure model that is closer to the shape of the ordered article, and study the accommodation to obtain the actual accommodation It is possible to perform a simulation that more reliably reproduces the state.

Further, in the inventions according to claims 3 and 15,
By correcting the closest packing rate obtained in advance, it is possible to predict the accommodation state more accurately.

In the inventions according to claims 4 and 16,
Whether or not accommodation is possible can be determined from the relationship between the accommodation volume and the accommodation container.

In the inventions according to claims 5 and 17,
A representative article having the same machine elements as the order article and having the same or different dimensions, i.e., a representative article of the same type as the order article, is defined in advance, and a close-packing rate for the representative article is defined in advance. By performing the accommodation examination using the closest packing rate, it is possible to perform a simulation to reproduce the actual accommodation state.

In the inventions according to claims 6 and 18,
By correcting the closest packing rate in consideration of the dimensional difference between the ordered article and the representative article, and carrying out a storage study using the corrected closest packing ratio, the actual storage state can be more reliably confirmed. It is possible to perform a simulation to reproduce.

In the inventions according to claims 7 and 19,
Whether or not accommodation is possible can be determined from the relationship between the accommodation volume and the accommodation container.

In the inventions according to claims 8 and 20,
When so-called loose packaging is not suitable, the accommodation examination process can be terminated without performing a wasteful process.

Further, in the inventions according to claim 9 and claim 21,
It is possible to simulate the arrangement in consideration of the randomness of the arrangement.
In addition, processing can be performed with simple logic, and accommodation studies can be performed in a short time.

In the inventions according to claims 10 and 22,
It is possible to study accommodation when a plurality of installation forms of the ordered article with respect to the virtual plane are assumed, and it is possible to perform a simulation that more reliably reproduces the actual accommodation state.

In the inventions according to claims 11 and 23,
Since deformation of the bag is taken into consideration, when the storage container is a bag, it is possible to perform a simulation that more reliably reproduces the actual storage state.
In addition, processing can be performed with simple logic, and accommodation studies can be performed in a short time.

In the inventions according to claims 12 and 24,
It is possible to study accommodation when a plurality of installation forms of the ordered article with respect to the virtual plane are assumed, and it is possible to perform a simulation that more reliably reproduces the actual accommodation state.

  Embodiments of the present invention are illustrated by the following examples.

FIG. 1 shows the configuration of an article accommodation review system according to the present invention.
In the article accommodation examination system according to the present invention, the size of the order article is smaller than that of the accommodation container, and the accommodation is performed when the article is accommodated in the accommodation container when a plurality of order articles are accommodated in the accommodation container. It is an article accommodation examination system for carrying out examination,
Means D1 for storing the order data 11 (product number, product name, order quantity) of the ordered product to be considered for accommodation;
Means D2 for storing the shape data 12 (length dimension / width dimension / height dimension) of each ordered article;
Means D3 for storing the closest packing ratio data 13 in which the aspect ratio of the three-dimensional figure model is associated with the closest packing ratio corresponding to the aspect ratio;
Means D4 for storing the item number, type, length dimension, width dimension and height dimension of the container (data for specifying the volume of the container) as auxiliary material data 14,
Means M1 for obtaining the order data 11 of the order article from the means D1,
Means M2 for obtaining shape data 12 corresponding to the order article obtained by the means M1 from the means D2.
Based on the shape data 12 acquired by the means M2, a means for obtaining a three-dimensional figure model containing the ordered article by calculation, and means for calculating an aspect ratio of the obtained three-dimensional figure model;
Means M4 for obtaining a close-packing rate corresponding to the aspect ratio determined by the means M3 from the means D3;
While calculating | requiring the volume of the solid figure model calculated | required by the said means M3, the volume of the calculated | required solid figure model, the closest packing rate calculated | required by the said means M4, and the said order data 11 acquired by the said means M1 Means M5 for calculating the volume of an article formed by the ordered articles for the number of orders from the number of orders;
Means M6 for obtaining the specifications of the container from the means D4;
Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
It comprises and is comprised.

In the above configuration, the means D1 to D4 are realized by a known database configuration, and the means M1 to M8 are realized by executing a program using known computer hardware (arithmetic unit). is there. In the configuration example of FIG. 1, the means D1 to D4 are realized by a database using a dedicated storage device, and the means M1 to M8 are realized by an arithmetic processing function of a well-known computer hardware (arithmetic device). ing.
This also applies to the respective means D1, D2... (Storage device) and means M1, M2... (Arithmetic device) in the following description (including Examples 2 to 5).

FIG. 2 shows a flowchart when carrying out the accommodation study with the above-described apparatus configuration.
First, the order data 11 of the ordered article is acquired from the means D1 by the means M1 (S10).
Here, the order data 11 is data in which one or a plurality of ordered articles, that is, the article number, article name, and order quantity of each article to be ordered (shipping order) are associated. The order article is individually designated (ordered) by an operator operating an input device provided in a computer, and only the designated order article is acquired by the means M1, as shown in FIG. With the flow shown as a routine, the means M1 may automatically acquire all kinds of ordered articles sequentially and execute them for each ordered article, and is not particularly limited.

Next, the shape data 12 corresponding to the ordered article is acquired from the means D2 by the means M2 (S11).
Here, the shape data 12 is data in which the length, width, and height of each one or a plurality of ordered items are stored in association with the product number of each ordered item.

Next, the auxiliary material data 14 of the storage container is acquired from the means D4 by the means M6 (S12).
Here, the auxiliary material data 14 is associated with each item number, type, length dimension, width dimension, and height dimension (data for specifying the volume of the container) of one or a plurality of containers. Data. The container is individually designated by the operator operating an input device provided in the computer for each ordered article, and only the designated container is obtained by the means M6. However, it is good also as a structure which acquires automatically about all the types of accommodation containers for every order goods, and it does not specifically limit.

Next, the long side dimension L1 (see FIG. 3) of the ordered article obtained by the means M1 is compared with the container inside long side dimension L2 obtained by the means M6, and the long side dimension is compared. When the length ratio of L1 to the container long side dimension L2 is equal to or greater than a predetermined value (for example, 50% or more), the accommodation review process is terminated (FIG. 2; S13).
In this step S13, as shown in FIG. 3, for example, when the long side dimension L1 of the order article 31 is more than half of the in-container long side dimension L2 of the storage container 32, the so-called unpacking is performed. Since it is preferable to adopt a form that accommodates by a simple method, such as aligning and accommodating without accommodating, the accommodation review process is terminated without performing wasteful processing. Is. The result of the completion of the accommodation examination is output on, for example, the display screen of the computer.
The predetermined value may be 50%, for example, but may be changed as appropriate depending on the shape of the order article.

As described above, the article accommodation review system is
The long side dimension L1 of the order article acquired by the means M1 is compared with the long side dimension L2 in the container of the storage container acquired by the means M6, and the long side dimension L2 in the container of the long side dimension L1 is compared. When the length ratio with respect to is equal to or greater than a predetermined value (for example, 50% or more), a means M41 for terminating the accommodation examination process is provided.
Accordingly, for example, for an ordered article having a long side dimension L1 that is half of the long side dimension L2 in the container, it is preferable to arrange the ordered articles in a line, so that the accommodation examination process according to the present invention is completed. It is possible to terminate the process without executing it, and it is possible to avoid performing unnecessary processing.

Next, when it is determined in step S13 that the value is not equal to or greater than a predetermined value, the means M3 obtains a three-dimensional figure model containing the ordered article by calculation based on the shape data 12 of the ordered article, The aspect ratio of the obtained three-dimensional figure model is obtained by calculation (S14).
Here, as shown in FIG. 5A, the three-dimensional figure model 21 is a model that realizes a minimum volume among three-dimensional models that include the order article 20. The three-dimensional shape of the model is a spherical cylindrical shape (a shape in which hemispheres are arranged on both end faces of the cylinder).
The aspect ratio refers to the aspect ratio (value obtained by dividing the short side by the long side) of the solid figure model. As shown in FIG. Since the total length L is longer than the diameter D, the total length L is the long side, and the diameter D is the short side, the aspect ratio is a value obtained by dividing the diameter D by the total length L.

Next, the closest packing ratio corresponding to the aspect ratio obtained by the means M3 is acquired from the means D3 by the means M4 (FIG. 2; S15).
Here, as shown in FIG. 6, the means D3 stores the closest packing rate data 13 in which the aspect ratio of the solid figure model and the closest packing rate corresponding to the aspect ratio are associated. When the solid figure model is a spherical cylindrical shape and the aspect ratio is A1, the closest packing ratio is specified as B1. The close-packing rate data 13 is calculated in advance for each shape of the three-dimensional figure model.
Further, the close-packing rate generally means the ratio of the volume of all articles to the volume of the container when the articles are packed as much as possible into a certain container. (The same applies to Examples 2 and 3) is to be examined in a situation where the so-called loose packing is accommodated, and the volume of all articles in the calculation of the closest packing rate is a volume that assumes this loose packaging situation. It is said. That is, the close-packing rate in this specification refers to a volume ratio (article volume per unit volume) when the articles are packed in a unit volume most efficiently in a state where the articles are not particularly aligned.
For example, when the closest packing rate is 0.5, when the ordered article is packed most closely (in the case of loose packing), the volume constituted by all the ordered articles is approximately half the volume of the container. It means to occupy.

  Next, as shown in FIG. 2, the container long side dimension L2 (see FIG. 3) of the storage container 32 obtained by the means M6 and the long side dimension L of the solid figure model obtained by the means M3 (FIG. 5). (See (a)), and when the length ratio of the long side dimension L2 in the container to the long side dimension L is a predetermined value or less (for example, 300% or less) (S16), the means The close-packing rate acquired by M4 is corrected (S17).

  This correction is performed by paying attention to the relationship between the long side dimension L2 in the container and the long side dimension L of the solid figure model. For example, when the length value is 300% or more, that is, when the long side dimension L2 in the container is three times or more the long side dimension L of the solid figure model, the volume of the storage container is compared with that of the solid figure model. Since it is sufficiently large, correction of the close-packing rate is not performed. On the other hand, when the length value is 300% or less, the long side dimension of the solid figure model is large and it is difficult to accommodate in the storage container, and the actual close-packing rate is acquired by the means M4. Since this is smaller than the closest packing rate, this is taken into consideration and correction of the closest packing rate is performed.

In performing the correction of the close-packing rate,
The article accommodation review system includes:
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D5 (see FIG. 1) for storing filling rate correction value data 15 (see FIG. 7);
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is obtained by calculation, and the length obtained by calculation from the means D5. Means M9 for obtaining a filling rate correction value corresponding to the thickness ratio;
Means M10 for correcting the close-packed filling rate obtained by the means M4 by multiplying the close-packed filling rate obtained by the means M4 by multiplying the filling rate correction value obtained by the means M9;
It is set as the structure which comprises.

As shown in FIG. 7, when the filling rate correction value data 15 is, for example, the length ratio A2, the filling rate correction value is specified as B2.
Further, the filling rate correction value is a value for obtaining the corrected closest packing rate by multiplying the closest packing rate acquired by the means M4, and indicates a value in the range of 0 to 1. It is. For example, when the closest packing ratio is 0.5 and the correction ratio correction value is 0.9, the closest packing ratio is corrected from 0.5 to 0.45.

Next, as shown in FIG. 2, the means M5 obtains the volume of the solid figure model obtained by the means M3 by calculation, and the obtained volume of the solid figure model and the closest packing rate obtained by the means M4. Then, from the order quantity in the order data 11 acquired by the means M1, the article volume W2 formed by the order articles for the order quantity is obtained by calculation (S18).
When the closest packing rate is corrected by the means M10, the corrected closest packing rate is used.

For example, when the volume of the three-dimensional figure model is T, the closest packing ratio obtained by the means M4 is B1, and the number of ordered articles is N, the article volume W2 = T × N / B1. The volume W2 is obtained (article volume calculation method (1)).
Further, when the correction is performed by the means M10 and the filling rate correction value is B2, the article volume W2 is obtained from the storage container = T × N / (B1 × B2) (article volume calculation method). (2)).

Next, as shown in FIG. 2, the means M7 calculates the volume W1 of the storage container based on the specifications of the storage container obtained by the means M6, and calculates the volume W1 of the storage container. A filling rate (= W2 / W1) which is a ratio of the article volume W2 is obtained by calculation (S19).
If the filling rate obtained here is smaller than 1, it means that the article volume W2 is smaller than the volume W1 of the storage container, so that the article can be stored in the storage container. On the other hand, if the filling rate is greater than 1, it means that the article cannot be stored in the storage container.

Next, as shown in FIG. 2, the M8 determines whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7 (S20).
That is, if the filling rate is 1 or less, it is determined that it can be accommodated, and if the filling rate is 1 or more, it is determined that it cannot be accommodated, and the accommodation examination is terminated.
Further, the result of the examination of whether or not accommodation is possible is output by an output device (not shown).

  In the above example, the article volume W2 obtained in step S18 is used, and in steps S19 and S20, the means M7 and M8 are used to determine whether or not accommodation is possible. Although it is expressed (output) in the form, it is not limited to this example, and a container having a volume capable of accommodating all articles is selected using the article volume W2 obtained in step S18. Alternatively, by dividing the article volume W2 by the volume of the storage container, the number of storage containers necessary for storing all articles may be obtained.

In the accommodation study performed as described above, as shown in FIG. 4, the possibility of accommodation is examined based on the aspect ratio of a simple three-dimensional figure model corresponding to the ordered article and the closest packing ratio with respect to the aspect ratio. Therefore, the amount of data to be handled is small, and a simple logic operation is performed, so that it is possible to study accommodation in a short time.
Further, in the conventional technology, it is difficult to predict the accommodation state by using a plurality of actual CAD data of the article itself. However, in the present invention, the accommodation state (based on the closest packing rate obtained in advance) By predicting the (article volume), it is possible to eliminate the difficulty of predicting the accommodation state.
In addition, the accommodation state can be predicted more accurately by correcting the closest packing rate obtained in advance by the means M10.

  In Example 2, as shown in FIGS. 5B to 5E, the three-dimensional shape of the three-dimensional figure model is as follows: (b) cylindrical shape, (c) prismatic shape, (d) hexagonal prism shape, ) Four types of spherical shapes are prepared, the variation of the three-dimensional figure model corresponding to the shape of the ordered article is increased, and the aspect ratio and the closest packing ratio are obtained based on the three-dimensional figure model closer to the shape of the ordered article. By carrying out the accommodation examination, it is possible to perform a simulation that more reliably reproduces the actual accommodation state.

That is, in the second embodiment,
In addition to the configuration of the first embodiment, as shown in FIG.
Means D6 for storing a plurality of types of three-dimensional figure models as model data for the three-dimensional figure model;
Means M11 for grasping the three-dimensional shape of the order article from the shape data 12 acquired by the means M2 and selecting the three-dimensional figure model closest to the three-dimensional shape of the order article from the model data 16; ,
Comprising
In the means M3, the solid figure model selected by the means M11 is adopted, and the aspect ratio of the solid figure model is obtained by calculation,
In the means D3, the closest packing rate data 13 in which the aspect ratio of each solid figure model of the model data 16 is associated with the closest packing rate corresponding to each aspect ratio is stored.
The means M4 is configured such that the closest packing rate is obtained using the closest packing rate data 13 corresponding to the solid figure model selected by the means M11.

In implementing the second embodiment, the logic of FIG. 8 is applied to the flowchart of FIG. In the figure, the same reference numerals as those in FIG. 2 are the same as the processes to which the same reference numerals are assigned in FIG.
As shown in FIG. 8, when it is determined No for step S13 in FIG.
The means M11 grasps the three-dimensional shape of the order article from the shape data 12 acquired by the means M2, and the three-dimensional figure model closest to the three-dimensional shape of the order article is obtained from the model data 16. Selected (S21).

Here, among the shapes shown in FIGS. 5B to 5E, the shape closest to the ordered article is selected. For example, when the order article is a hexagonal prism-shaped spacer shown in FIG. 5 (f), the means M11 grasps that the spacer is a hexagonal prism-shaped, and from the model data 15, (d) Hexagonal column shape will be selected.
As for the method of selecting the three-dimensional figure model corresponding to the three-dimensional shape of each order article, for example, a table in which the part number of each order article is associated with the three-dimensional figure model stored in the model data 16 in advance is prepared. In addition to uniquely selecting a three-dimensional figure model for each order article, the three-dimensional shape of each order article is modeled, and the three-dimensional figure that can form the closest shape from the surface shape, the number of vertices, etc. It may be possible to select a graphic model.

Next, as shown in FIG. 8, the means M3 adopts the solid figure model selected by the means M11 and calculates the aspect ratio of the solid figure model by calculation (S22).
The aspect ratio here refers to the aspect ratio (value obtained by dividing the short side by the long side) of the solid figure model as described above. For example, the aspect ratio (FIG. 5 (FIG. 5)) is added. In the solid figure model of e)), the aspect ratio is 1.

Next, as shown in FIG. 8, the means M4 obtains the closest packing rate using the closest packing rate data 13 corresponding to the solid figure model selected by the means M11 (S23).
The means D3 stores the closest packing ratio data 13 in which the aspect ratio of each solid figure model of the model data 16 is associated with the closest packing ratio corresponding to each aspect ratio. That is, the close-packed filling rate data corresponding to each solid figure model of FIGS. 5B to 5E is individually stored (the data as shown in FIG. 6 exists for each solid figure model. ), For example, when the cylindrical solid figure model of FIG. 5B is selected, the closest packing rate data in which the aspect ratio of the cylindrical shape and the closest packing rate are associated is adopted. Based on the closest packing rate data of the three-dimensional figure model, the closest packing rate corresponding to the aspect ratio is selected.

Then, after selecting the closest packing rate in step S23 shown in FIG. 8, the process proceeds to step S16 shown in FIG.
As described above, the variation of the solid figure model corresponding to the shape of the ordered article is increased, and the accommodation ratio is determined by obtaining the aspect ratio and the closest packing ratio based on the solid figure model closer to the shape of the ordered article. This makes it possible to perform a simulation that more reliably reproduces the actual housing state.

  In the third embodiment, as shown in FIG. 10, a representative article having the same machine elements as the order article and having the same or different dimensions, that is, a representative article of the same type as the order article, is defined in advance. Preliminarily define the closest packing rate for the article, further correct the closest packing rate by taking into account the dimensional difference between the ordered article and the representative article, and consider accommodation using the corrected closest packing rate By carrying out the above, it is possible to perform a simulation that more reliably reproduces the actual housing state.

For example, when the order article is a hexagonal bolt (see FIG. 5 (a)), it is composed of two elements: a shaft portion on which a screw is screwed and a head portion on which a hexagon wrench is engaged. It will be. When the fitting of the hexagonal bolt to the three-dimensional figure model is to be carried out according to the first embodiment or the second embodiment, the spherical cylindrical shape of FIG. 5A is adopted. There will be a large difference between the volume represented by the spherical cylindrical solid figure model and the volume of the hexagon bolt of the ordered article. That is, since the diameter of the shaft portion is smaller than the diameter of the spherical cylindrical shape, the three-dimensional figure model expresses a volume larger than the volume of the actual order article. For this reason, it is conceivable that a difference occurs between the accommodation state predicted in the accommodation examination and the actual accommodation state.
In addition, as described above, when the two parts of the shaft part and the head part are used, it is conceivable that the shape of each element affects the way in which the articles overlap.
Therefore, as described above, for representative articles (typical articles) with high order frequency, etc., the closest packing rate is defined in advance, and the closest packing rate of the representative articles corresponding to the ordered articles is used. It is intended to conduct a containment study.

In carrying out the above, in Example 3,
As shown in FIG.
An article accommodation examination system for carrying out an examination of accommodation when an article is accommodated in the accommodation container when a dimension of the order article is smaller than the accommodation container and a plurality of order articles are accommodated in the accommodation container. And
Means D1 for storing the order data 11 (product number, product name, order quantity) of the ordered product to be considered for accommodation;
Means D2 for storing the shape data 12 (length dimension / width dimension / height dimension) of each ordered article;
Means D4 for storing the item number, type, length dimension, width dimension and height dimension of the container (data for specifying the volume of the container) as auxiliary material data 14,
Means D7 for defining representative articles of the same type as the ordered article and storing shape data (diameter dimension / length dimension / width dimension / height dimension) specifying the shape of the representative article as representative article data 17; ,
Means D13 for storing the closest packing rate of the representative article as the closest packing rate data 13F;
When the dimensions of the ordered article and the representative article are different, the size changes according to the size of the different dimension, and the representative article filling rate correction value for correcting the closest packing rate is filled with the representative article. Means D8 for storing as rate correction value data 18,
Means M1 for obtaining the order data 11 of the order article from the means D1,
Means M2 for obtaining shape data 12 corresponding to the order article obtained by the means M1 from the means D2.
A means M12 for selecting a representative article of the same type as the ordered article obtained by the means M1 from the means D7, and obtaining shape data of the representative article;
Means M13 for comparing the shape data of the representative article acquired by the means M12 with the shape data of the ordered article;
Means M14 for obtaining the closest packing rate corresponding to the representative article from the means D13;
In the means M13, means M15 for comparing the shape data of the representative article and the shape data of the ordered article;
In the means M15, when the shape data of the representative article is different from the shape data of the ordered article, the means D15 obtains the representative article filling rate correction value corresponding to the size of the different dimensions from the means D8. Means M16 for correcting the closest packing rate acquired by the means M14 using the acquired representative article filling rate correction value;
The volume of the ordered article is obtained by calculation from the shape data obtained by the means M2, and the volume of the ordered article obtained and the closest packing rate obtained by the means M14 or the corrected quantity obtained by the means M16. Means M17 for calculating the article volume formed by the ordered articles corresponding to the number of orders from the closest packing ratio and the number of orders in the order data 11 acquired by the means M1;
Means M6 for obtaining the specifications of the container from the means D4;
Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
It is set as the structure which comprises.

In the third embodiment, the logic of FIG. 11 is applied to the flowchart of FIG. In the figure, the same reference numerals as those in FIG. 2 are the same as the processes to which the same reference numerals are assigned in FIG.
As shown in FIG. 11, when it is determined No in step S13 of FIG. 2, the means M12 selects a representative article of the same type as the ordered article acquired by the means M1 from the means D7. At the same time, the shape data of the representative article is acquired (S31).

  Here, the selection of representative articles of the same type as the ordered articles can be made by, for example, preparing a table in which the product number of each ordered article is associated with the representative articles stored in the representative article data 17 in advance. It can be considered that the representative article is uniquely selected for the ordered article. The representative article data 17 is, for example, as shown in FIG. Washers and snap rings are defined. Further, for each representative article, a diameter dimension, a length dimension, a width dimension, and a height dimension for specifying each shape are defined. For example, in line 81, the hexagon bolt is defined as having a diameter dimension of M12 (12 mm) and a length dimension (overall length) of 20 mm.

Next, as shown in FIG. 11, the closest packing rate corresponding to the representative article is acquired from the means D13 by the means M14 (S32).
The close-packed filling rate data 13F stored in the means D13 is defined as one value for each representative article as shown in FIG. , The closest packing rate is defined as g.

Next, as shown in FIG. 11, the means M15 compares the shape data of the representative article acquired by the means M12 with the shape data of the ordered article, that is, confirms whether the dimensions are the same ( S33).
Here, when the two shape data are the same, the closest packing ratio acquired in step S32 is adopted.

  On the other hand, when the shape data of the representative article is different from the shape data of the ordered article, the representative article filling rate correction value corresponding to the size of the different dimension is acquired and acquired from the means D8. Using the representative article filling rate correction value, the closest packing rate acquired by the means M14 is corrected (S34).

  Here, the comparison of the shape data is performed for all or part of the diameter dimension, the length dimension, the width dimension, and the height dimension. In FIG. For example, for the hexagon bolt, the diameter dimension and the length dimension are to be compared. Further, for each comparison target, TBLΦ1 and TBLL1 are referred to as the representative article filling rate correction value data. Further, for each comparison target of each representative article, representative article filling rate correction value data is individually set (TBLΦ1, TBLL1, etc.), and these representative article filling rate correction value data are the data as shown in FIG. It is to be stored in the means D8.

The representative article filling rate correction value is defined by representative article filling rate correction value data 18 as shown in FIG. In this example, with respect to the representative article of the hexagonal bolt shown in FIG. The data to be graphed is shown. For example, when the length dimension of the ordered article is 10 mm, the length T of the representative article is 20 mm (see line 81 in FIG. 10), so the ratio T is set to 0.5. When the ratio T is 0.5, the representative article filling rate correction value is 1.2.
Then, by multiplying the representative article filling rate correction value by the closest packing rate g corresponding to the hexagonal bolt (see row 82 in FIG. 12), the corrected closest packing rate can be obtained. In the case of a hexagonal bolt, the diameter dimension is also defined as a comparison target. Therefore, for the diameter dimension, a representative article filling rate correction value is obtained based on the corresponding representative article filling rate correction value data. Is also multiplied by the closest packing ratio g together with the representative article filling ratio correction value obtained from the length dimension.

  Further, when the value of the ratio T is less than 1, it means a dimension smaller than the dimension of the representative article. Therefore, in order to increase the closest packing ratio, the representative article filling rate correction value is The value is larger than 1 (see FIG. 13). On the other hand, when the ratio T is larger than 1, it means a dimension larger than the dimension of the representative article. Therefore, the representative article filling rate correction value is smaller than 1 in order to reduce the closest packing rate. Value (see FIG. 13). When the ratio T is 1, the representative article filling rate correction value is 1, and the correction of the close-packed filling rate for the dimension to be compared is not performed.

Next, as shown in FIG. 11, the container long side dimension L2 (see FIG. 3) of the container 31 obtained by the means M6 is compared with the long side dimension L3 of the ordered article obtained by the means M2. If the length ratio of the long side dimension in the container to the long side dimension L2 is equal to or less than a predetermined value (for example, 300% or less) (S35), the correction of the closest packing rate obtained by the means M4 is performed. Is performed (S36).
The reason for this correction is the same as in step S17 (FIG. 2) in the first embodiment.

Moreover, in carrying out this correction of the closest packing rate,
The article accommodation review system includes:
Filling in which the length ratio of the long-side dimension L3 of the order article acquired by the means M2 and the long-side dimension L2 of the storage container acquired by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D15 for storing rate correction value data 15F (see FIG. 14);
The length ratio of the long side dimension L3 of the ordered article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is obtained by calculation, and the length obtained by calculation from the means D15. Means M18 for obtaining a filling rate correction value corresponding to the ratio;
By multiplying the filling rate correction value obtained by the means M18 by the closest packing rate obtained by the means M14 or the corrected closest packing rate obtained by the means M16, the means M14 Means M19 for correcting the close-packed filling rate acquired by the close-packed filling rate acquired by the above-mentioned means M16 or the corrected close-packed filling rate obtained by the means M16;
It is set as the structure which comprises.
Thereby, the correction of the closest packing rate similar to step S17 (FIG. 2) in the first embodiment can be performed.

Next, as shown in FIG. 11, the means M17 obtains the volume of the ordered article from the shape data obtained by the means M2 by calculation, and the obtained order article volume and the closest density obtained by the means M14. The article volume formed by the order articles corresponding to the order number from the filling ratio or the corrected close-packed filling ratio obtained by the means M16 and the order number in the order data 11 obtained by the means M1. W2 is obtained by calculation (S37).
The method for calculating the article volume W2 is the same as that in the first embodiment (see the article volume calculation methods (1) and (2) above).

Next, as shown in FIG. 11, the means M7 calculates the volume W1 of the storage container based on the specifications of the storage container obtained by the means M6, and calculates the volume W1 of the storage container. A filling rate (= W2 / W1), which is a ratio of the article volume W2, is obtained by calculation (S38).
If this filling rate is smaller than 1, the article volume W2 is smaller than the volume W1 of the storage container, which means that the article can be stored in the storage container. On the other hand, if the filling rate is greater than 1, it means that the article cannot be stored in the storage container.

Next, as shown in FIG. 11, the M8 determines whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7 (S39).
That is, if the filling rate is 1 or less, it is determined that it can be accommodated, and if the filling rate is 1 or more, it is determined that it cannot be accommodated, and the accommodation examination is terminated.
Further, the result of the examination of whether or not accommodation is possible is output by an output device (not shown).

  In the above example, the article volume W2 obtained in step S38 is used, and in steps S38 and S39, whether or not accommodation is possible is determined by the means M7 and M8. Although expressed (output) in a format, the present invention is not limited to this example, and a container having a volume capable of accommodating all articles is selected using the article volume W2 obtained in step S38. Alternatively, by dividing the article volume W2 by the volume of the storage container, the number of storage containers necessary for storing all articles may be obtained.

  As described above, in the third embodiment, a representative article having the same machine elements as the ordered article and having the same or different dimensions, that is, a representative article of the same type as the ordered article, is defined in advance. The close-packed filling rate is defined in advance, and the close-packed filling rate is corrected by taking into account the dimensional difference between the ordered article and the representative article. By carrying out the simulation, it is possible to perform a simulation that more reliably reproduces the actual accommodation state.

  In the fourth embodiment, as shown in FIG. 16, a reference plane of the storage container, that is, a virtual plane that is a cut plane when the middle part in the vertical direction is cut by a horizontal plane is defined, and the order article does not overlap the virtual plane. In this way, the number of ordered items when the virtual plane is filled with ordered items is determined one by one, and the number of accommodated items is calculated by multiplying this number by the number of steps in the height direction. This is the purpose of the required containment study.

In carrying out the above, this embodiment 4
As shown in FIG. 15 and FIG.
An article accommodation examination system for carrying out an examination of accommodation when an article is accommodated in the accommodation container when a dimension of the order article is smaller than the accommodation container and a plurality of order articles are accommodated in the accommodation container. And
Means D1 for storing the order data 11 (product number, product name, order quantity) of the ordered product to be considered for accommodation;
Means D2 for storing the shape data 12 (length dimension / width dimension / height dimension) of each ordered article;
Means D4 for storing the item number, type, length dimension, width dimension and height dimension of the container (data for specifying the volume of the container) as auxiliary material data 14,
Means M1 for obtaining the order data 11 of the order article from the means D1,
Means M2 for obtaining shape data 12 corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
Means M21 for identifying the virtual plane 53, which is a cut surface when the intermediate portion in the vertical direction of the storage container 51 obtained by the means M6 is cut by the horizontal plane 52, from the specifications of the storage container;
With respect to the virtual plane 53 specified by the means M21, the order articles 54 acquired by the means M2 are rotated one by one around an axis 55 orthogonal to the virtual plane so as not to overlap each other. Means M22 to perform,
A frame that surrounds all the ordered articles placed on the virtual plane by bringing the newly placed ordered article into contact with the ordered article that has already been placed on the virtual plane 53 by the means M22. Means M23 for forming a virtual frame 56 having a similar shape to
When the number of arrangements of the ordered articles on the virtual plane increases and the area of the virtual frame 56 exceeds the area of the virtual plane 53, the number obtained by subtracting 1 from the total number of the ordered articles already arranged, Means M24 for defining the number of order articles arranged on the virtual plane;
The height dimension of the container obtained by the means M6 is divided by the height dimension of the order article placed on the virtual plane 53, and the number of stages that can be accommodated in the virtual plane 53 on which the order article is placed is obtained. Means M25 for obtaining the number of order articles that can be accommodated in the accommodation container by multiplying the number of accommodated stages by the number of arrangements obtained by the virtual plane means M24;
It is set as the structure which comprises.

FIG. 17 shows a flowchart in the case of carrying out accommodation examination with the above configuration.
First, the order data 11 of the ordered article is acquired from the means D1 by the means M1 (S50).
Here, the order data 11 is data in which one or a plurality of ordered articles, that is, the article number, the article name, and the order quantity of each article to be shipped are associated. The order article is individually designated (ordered) by an operator operating an input device provided in a computer, and only the designated order article is acquired by the means M1, as shown in FIG. With the flow shown as a routine, the means M1 may be configured to automatically and sequentially acquire all kinds of ordered articles and execute each ordered article, and is not particularly limited.

Next, as shown in FIG. 17, the shape data 12 corresponding to the order article is acquired from the means D2 by the means M2 (S51).
Here, the shape data 12 is data in which the length, width, and height of each one or a plurality of ordered items are stored in association with the product number of each ordered item.

Next, as shown in FIG. 17, the auxiliary material data 14 of the container is acquired from the means D4 by the means M6 (S52).
Here, the auxiliary material data 14 is associated with each item number, type, and length / width / height dimensions (data for specifying the volume of the storage container) of one or a plurality of storage containers. Stored data. The container is individually designated by the operator operating an input device provided in the computer for each ordered article, and only the designated container is obtained by the means M6. However, it is good also as a structure which acquires automatically about all the types of accommodation containers for every order goods, and it does not specifically limit.

  Next, as shown in FIG. 16 and FIG. 17, the virtual plane 53 which is a cut surface when the middle portion in the vertical direction of the storage container 51 obtained by the means M6 is cut by the horizontal plane 52 by the means M21. It is specified from the specifications of the container (S53). In the illustrated example, the virtual plane 53 is a rectangle.

  Next, as shown in FIG. 16 (arrow A1) and FIG. 17, the order items 54 obtained by the means M2 are one by one with respect to the virtual plane 53 specified by the means M21 by the means M22. It is rotated around an axis 55 orthogonal to the virtual plane and arranged so as not to overlap each other (S54). Here, the rotation about the shaft 55 is for simulating the randomness of arrangement (variation of arrangement) during actual accommodation.

Next, as shown in FIG. 16 (arrow A2) and FIG. 17, the means M23 contacts the order article 54b newly arranged with the order article 54a already arranged on the virtual plane 53 by the means M22. Then, a virtual frame 56 that surrounds all the order articles arranged on the virtual plane and has a similar shape to the virtual plane is formed (S55).
In this way, by making the newly placed order article 54b contact (move) the already placed order article 54a, the virtual frame 56 has a similar shape to the virtual plane 53, It is possible to simulate the case where the container is filled with the order article without a gap.

As shown in FIG. 18, when an arrangement pattern PA / PB that forms virtual frames 56a and 56b having the same dimensions appears, the existing order article 54a (or 54b) in contact with each other and the newly placed order are placed. It is conceivable to adopt a method in which the included angles Ca1 and Ca2 (narrow angles with respect to the wide angles Cb1 and Cb2) of the article 54c are wide (adopting an arrangement pattern PA), or to select any one arrangement pattern. It is done.
In addition, when a large number of arrangement patterns are assumed, a response time of the accommodation examination process may be set within a specified time by providing a processing time limit for the examination of the arrangement pattern.

Next, as shown in FIG. 17, the order items are added one by one by the means M22, the number of the ordered items arranged on the virtual plane is increased (S54, S55), and the area of the virtual frame 56 When the area of the virtual plane 53 is exceeded (S56), the number obtained by subtracting 1 from the total number of ordered articles already arranged by the means M24 is defined as the number of arranged ordered articles on the virtual plane 53. (S57).
Here, when the area of the virtual frame 56 exceeds the area of the virtual plane 53, it is impossible to additionally arrange the ordered articles on the virtual plane 53. In this case, 1 is calculated from the total number of ordered articles. By pulling, it is possible to define the number of ordered articles that can be arranged on the virtual plane 53.
As described above, the arrangement of the ordered articles with respect to the virtual plane 53 is completed as indicated by an arrow A3 in FIG.

  Next, as shown in FIG. 17, the means M25 divides the height dimension of the container obtained by the means M6 by the height dimension of the order article placed in the virtual plane 53, and The number of stages that can be accommodated in the virtual plane 53 on which the ordered items are arranged, that is, how many levels of the ordered items are stacked is determined (S58). The integer part of the calculation result (quotient) corresponds to the number of accommodating stages.

  Next, as shown in FIG. 17, by the means M25, the number of order articles that can be accommodated in the accommodation container (accommodation number) is obtained by multiplying the number of stages that can be accommodated by the number of arrangements obtained by the virtual plane means M24. Is obtained (S59).

  Further, when a plurality of installation forms of the order article with respect to the virtual plane 53 are assumed, for example, as shown in FIG. 19, the height dimensions 54Ha and 54Hb of the order article 54 differ depending on the installation form of the order article. In each case, the above steps S54 to S59 are carried out for each installation form (FIG. 17; S62), and the number (order of accommodation) of order articles that can be accommodated in the accommodation container is obtained for each case. This function is defined as means M26.

  In the example of FIG. 19, the patterns of two installation forms are shown. However, the installation form of the order article is assumed by rotating a specified angle around a rotation axis N parallel to the virtual plane 53. May be. Further, when a large number of installation forms are assumed, a response time of the accommodation examination process may be set within a specified time by providing a processing time limit for the examination of the installation form.

  Then, as shown in FIG. 17, the accommodation number is calculated for the different installation forms of the above-mentioned ordered articles (S60), and the largest accommodation number among them is adopted as the accommodation number that can be accommodated in the accommodation container. (S61).

The number of accommodations obtained as described above takes into consideration the randomness of arrangement (variety of arrangement) during actual accommodation.
And according to the above Example 4, the simulation of arrangement | positioning which considered the randomness of arrangement | positioning is attained.
In addition, processing can be performed with simple logic as in the above-described flowchart, and accommodation studies can be performed in a short time.

In the fifth embodiment, as shown in FIG. 21, the type of the storage container is “bag”, and the storage is considered in consideration of the change in the number of stored order articles due to deformation of the bag. It is.
Further, in this accommodation study, the dimensions of the order article and the reference plane of the container (bag), that is, the dimensions of the virtual planes 65A and 65B, which are cut surfaces when the vertical middle part of the bag is cut along a horizontal plane, In this relationship, when the dimension of the ordered article is large and an alignment pattern as shown in FIG. 23 can be applied, the deformation of the bag is studied by applying this alignment pattern. .

In carrying out the above, in Example 5,
As shown in FIGS. 20, 21, and 23,
An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data 11 (product number, product name, order quantity) of the ordered product to be considered for accommodation;
Means D2 for storing the shape data 12 (length dimension / width dimension / height dimension) of each ordered article;
Means D4 for storing the item number, type, length dimension, width dimension and height dimension of the container (data for specifying the volume of the container) as auxiliary material data 14,
Means D9 for storing, as aligned arrangement pattern data 19, an aligned arrangement pattern for arranging and arranging articles in a predetermined plane shape such as a rectangle or a circle;
Means M1 for obtaining the order data 11 of the order article from the means D1,
Means M2 for obtaining shape data 12 corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
When the type of the storage container acquired by the means M6 is a bag, virtual planes 65A and 65B (see FIG. 21), which are cut surfaces when the middle part in the vertical direction of the bag is cut along a horizontal plane, are stored in the storage container. Means M31 for identifying from specifications,
Means M32 for determining whether or not the alignment arrangement pattern can be applied to the arrangement of the ordered articles acquired by the means M2 with respect to the virtual planes 65A and 65B specified by the means M31;
When the means M32 determines that the alignment arrangement pattern is applicable, the number of ordered articles arranged on the virtual plane 65 (see FIG. 23) specified from the alignment arrangement pattern is obtained. Means M33 for determining whether or not the order article 67 can be additionally arranged in the surplus area 68 (see FIG. 23) formed in the virtual plane 65, and determining the number of the order articles that can be arranged in the virtual plane;
Means M34 for obtaining an effective height Ha (see FIG. 21), which is a range in which the virtual plane is formed, from the specifications of the container;
The effective height obtained by the means M34 is divided by the height dimension of the order article placed on the virtual plane to obtain the number of storable steps of the virtual plane on which the order article is placed, and the accommodation possible Means M35 for multiplying the number of steps by the number of ordered articles determined by the virtual plane means M33 to determine the number of ordered articles that can be stored in the storage container;
It is set as the structure which comprises.

FIG. 22 shows a flowchart for carrying out accommodation studies with the above configuration.
First, the order data 11 of the ordered article is acquired from the means D1 by the means M1 (S70).
Here, the order data 11 is data in which one or a plurality of ordered articles, that is, the article number, the article name, and the order quantity of each article to be shipped are associated. The order article is individually designated (ordered) by an operator operating an input device provided in a computer, and only the designated order article is acquired by the means M1, as shown in FIG. With the flow shown as a routine, the above-described means M1 may automatically acquire all kinds of ordered articles in sequence and execute them for each ordered article, and is not particularly limited.

Next, as shown in FIG. 22, the shape data 12 corresponding to the order article is acquired from the means D2 by the means M2 (S71).
Here, the shape data 12 is data in which the length, width, and height of each one or a plurality of ordered items are stored in association with the product number of each ordered item.

Next, as shown in FIG. 22, the auxiliary material data 14 of the storage container is acquired from the means D4 by the means M6 (S72).
Here, the auxiliary material data 14 is associated with each item number, type, and length / width / height dimensions (data for specifying the volume of the storage container) of one or a plurality of storage containers. Stored data. The container is individually designated by the operator operating an input device provided in the computer for each ordered article, and only the designated container is obtained by the means M6. However, it is good also as a structure which acquires automatically about all the types of accommodation containers for every order goods, and it does not specifically limit.

Next, as shown in FIG. 22, when the type of the storage container acquired by the means M6 is a bag (S73), the means M31 is a cut surface obtained by cutting the middle part in the vertical direction of the bag along a horizontal plane. Is specified from the specifications of the container (S74).
In step S73, if the type of the storage container is not a bag, the process ends because it is not a target for the storage examination in the fifth embodiment.

Further, for example, as shown in FIG. 21, the virtual plane in the step S74 is defined as a circle when the container is not a town (襠), and is defined as a rectangle when the container is a town (襠). Is done.
As described above, the virtual planes 65A and 65B are defined according to the type (the presence or absence of a town) of the storage container (bag).

Next, as shown in FIG. 22, whether or not the alignment arrangement pattern can be applied to the arrangement of the order articles acquired by the means M2 with respect to the virtual plane specified by the means M31 is determined by the means M32. S75).
Here, as shown in FIG. 23, the alignment arrangement pattern 60 is uniquely used to arrange the ordered articles 67, 67,... In a predetermined plane shape (virtual plane 65) such as a rectangle or a circle. This arrangement pattern is determined, and this arrangement pattern is stored in the means D9 as the arrangement arrangement pattern data 19 in advance. The aligned arrangement pattern is obtained in advance in relation to the dimension of the ordered article and the prescribed planar shape.
Further, this aligned arrangement pattern is an arrangement pattern in which the same installation form is adopted for the installation forms described later and the ordered articles can be arranged in the largest number when they are arranged in alignment with the prescribed plane shape.
In addition, the aligned arrangement employs the same installation form with respect to the installation form (see FIG. 26) described later, and the long sides (with the prescribed planar shape) while bringing the ordered articles into contact with each other. In the case of a circle, each ordered article is arranged in parallel or at a right angle to a line representing a diameter passing through the center.

  The determination of whether or not the alignment arrangement pattern can be applied is applied when an alignment arrangement pattern composed of a combination of the shape (dimension) of the order article 67 and the virtual plane 65 exists in the alignment arrangement pattern data 19. If it is determined that it is possible and the aligned layout pattern does not exist in the aligned layout pattern data 19, it is determined that it is not applicable. For example, when the shape of the ordered article 67 does not exist in the aligned arrangement pattern data 19, or when the shape of the virtual plane 65 does not exist in the aligned arrangement pattern data 19, it is determined that the application is not possible.

  In addition, in the case where this aligned arrangement pattern is applied, when the dimension of the ordered article is one third or more of the dimension of the prescribed planar shape, or the installation surface of the ordered article has the prescribed planar shape. This refers to a case that can be actually aligned and arranged, for example, in a similar shape. For this reason, if the dimensions of the ordered article are very small compared to the prescribed planar shape and it is substantially impossible to arrange them in an aligned manner, any of the above-described Examples 1 to 4 It is preferable to consider the accommodation, and it is determined that the application is not possible in step S75. Therefore, the process is terminated without being subject to the accommodation examination in the fifth embodiment. Become.

  As shown in FIGS. 22 and 23, when the means M33 determines that the aligned arrangement pattern is applicable in the means M32, the virtual plane 65 specified from the aligned arrangement pattern is used. The number of ordered articles placed on the virtual plane 65 is determined, whether or not the ordered article 67 can be additionally placed in the surplus area 68 formed on the virtual plane 65, and the number of ordered articles that can be placed on the virtual plane 65 is found. (S76).

The details of step S76 are shown in the flowchart of FIG.
First, the number of ordered articles arranged on the virtual plane 65 is obtained from the alignment arrangement pattern applied in step S75 (S76a). In the example of FIG. 23, the number is 30.

  Next, as shown in FIG. 23, it is examined whether there is a surplus area 68 in the virtual plane 65 (FIG. 24; S76b). If there is a surplus area 68, the additional arrangement of the ordered articles in the surplus area 68 is performed. In addition to determining whether it is possible or not, the number of ordered articles placed on the virtual plane when added is determined (S76c). Here, when there is no surplus area 68, the number of ordered articles obtained in step S76a is defined as the number of ordered articles that can be arranged on a virtual plane.

Details of step S76c for determining the additional arrangement described above are shown in the flowchart of FIG.
As shown in FIGS. 23 and 25, the projected area of the order article 67 with respect to the virtual plane 65 is compared with the area of the surplus area 68 (the range in which the order article 67 is not arranged) (S76ca), and the surplus area 68 has a large area. (S76cb), one additional order item 67 is additionally arranged (S76cc). Then, after the additional arrangement, the dimension of the outline 69 surrounding all the ordered articles 67 is compared with the dimension of the outline 65a of the virtual plane 65, and the dimension of the outline 69 is less than or equal to the dimension of the outline 65a. If there is (S76ce), it is determined that additional placement is possible (S76cf).
By comparing the outlines 65a and 69 in this way, the phenomenon that the bag is deformed can be simulated.
In addition, in the said step S76cc, when there are two or more arrangement methods at the time of adding the order article 67, the order article additionally arranged contacts the already arranged order article, and the contact area An arrangement that maximizes is adopted. This is to allow as many additional arrangements as possible.

  Further, as shown in FIGS. 23 and 25, the above steps S76ca to S76cf are performed until the area of the surplus area 68 becomes smaller than the projected area of the order article (S76cb) or the dimension of the outline 69 is increased. It repeats until it becomes larger than the outline 65a (S76ce).

  Then, as shown in FIGS. 23 and 25, the number of ordered articles that can be arranged on the virtual plane is calculated by adding the number obtained by the additional arrangement to the number obtained by the step S76a (S76fg). In the example of FIG. 23, it is shown that 33 order articles are finally arranged.

Moreover, as shown in FIG. 26, the projection areas 67A, 67B, and 67C of the order articles 67a, 67b, and 67c with respect to the virtual plane differ depending on the installation form of the order article (how to install with respect to the virtual plane). Therefore, when a plurality of installation forms of the order articles 67a, 67b, and 67c with respect to the virtual plane are assumed, the number of order articles that can be arranged on the virtual plane is obtained for each installation form. This function is defined as means M36.
That is, as shown in FIG. 25, when there are a plurality of order article installation forms and there are a plurality of order article projection areas on the virtual plane (S76ch), the projection area when the installation form is changed is obtained (S76ch). S76ci) Steps S76ca to S76cg described above are performed based on each projection area.

In the example of FIG. 26, there are three types of installation forms 67a, 67b, and 67c for the order article 67, and the projected areas are 67A, 67B, and 67C, respectively.
As for the “operation for changing the installation form”, for example, the three-dimensional coordinate axes of XYZ are defined, and a case where the projected areas are different by rotating each coordinate axis by a specified angle is obtained. Implementation of S76ca to S76cg is conceivable. Further, when a large number of installation forms are assumed, a response time of the accommodation examination process may be set within a specified time by providing a time limit for the processing time for the examination of the installation form.

  And, as described above, for different installation forms, consider the number of order articles that can be placed on the virtual plane, respectively, and from the dimensions in the height direction of the order articles in each installation form (see 67ha to 67hc in FIG. 26), The number of items ordered in the container is considered.

First, as shown in FIG. 22, the effective height which is the range in which the virtual plane is formed is obtained from the specifications of the container by means of the means M34 (S77).
For example, in the case of no town in FIG. 21, the effective height Ha is obtained by the calculation formula of Ha = H− (W × 2 / π) when the height dimension H and the width dimension W of the bag are used. It is.
Here, the effective height Ha means the height formed when the bag is closed while maintaining the horizontal cross-sectional shape (circular shape) of the virtual plane 65A. H is defined as a value obtained by subtracting a value twice the radius of the circular cross section (that is, 2 × 2W / 2π) from this dimension H. This also means that even when the height of the bag is H, it can only be accommodated up to the effective height Ha when packing ordered items.
Similarly, when there is no town, the effective height Ha is represented by Ha = (HM) × 0.8 when the height dimension H and the town depth M are set. .

In addition, the calculation method of such effective height Ha is not specifically limited to said example, A suitable calculation method shall be employ | adopted suitably according to the form of a bag.
Moreover, when the storage container is a bag as described above, the concept of adopting the effective height Ha for the height dimension of the storage container is also applicable to the first to fourth embodiments.

Next, as shown in FIG. 22, the effective height Ha is divided by the height of the order article (see heights 67 ha to 67 hc shown in FIG. 26) to accommodate the virtual plane on which the order article is arranged. The number of possible levels, that is, how many levels of the ordered items are stacked is determined (S78). The integer part of the calculation result (quotient) corresponds to the number of accommodating stages.
As shown in FIG. 26, the number of accommodated steps is calculated using the respective heights 67ha to 67hc in the different installation forms 67a, 67b, and 67c.

  Next, as shown in FIG. 22, by multiplying the number of order articles that can be arranged on a virtual plane by the number of stages that can be accommodated, an accommodation number (the number of order articles accommodated in an accommodation container) is obtained (S79).

  Then, as shown in FIG. 22, the calculation of the accommodation number is performed for each of the above-mentioned different installation forms of the ordered items, and the largest number of accommodations among them is adopted as the accommodation number that can be accommodated in the accommodation container. (S80).

Since the number of accommodations obtained as described above takes into account deformation of the bag, it is possible to perform a simulation that more reliably reproduces the actual accommodation state when the accommodation container is a bag.
In addition, processing can be performed with simple logic as in the above-described flowchart, and accommodation studies can be performed in a short time.

The structure of the above Examples 1-5 can be comprised as a computer program.
That is, in order to carry out the storage examination that is performed when storing the article in the storage container,
A program that functions as the means D1, D2,..., M1, M2,.

The figure shown about the structure of the goods accommodation examination system of Example 1 and Example 2. FIG. The figure in the case of implementing the accommodation examination of Example 1. The figure explaining the relationship between the storage container and the long side of order goods. FIG. 3 is a diagram for explaining the outline of Example 1; (A) is a figure shown about the structure of a spherical-cylindrical solid figure model. (B) is a figure shown about a cylindrical solid figure model. (C) is a figure shown about a prismatic solid figure model. (D) is a figure shown about the hexagonal column-shaped solid figure model. (E) is a figure shown about a spherical solid figure model. (F) is a figure shown about the example in case an order article is a hexagonal column-shaped spacer. The figure shown about the example of close-packing rate data. The figure shown about the example of filling rate correction value data. The figure which shows the flowchart of the flow of selection of the solid figure model in Example 2, and acquisition of the closest packing rate. The figure shown about the structure of the article | item accommodation examination system of Example 3. FIG. The figure shown about the example of representative article data. The figure in the case of implementing the accommodation examination of Example 3. The figure shown about the closest packing rate data in Example 3. FIG. The figure shown about the example of representative article filling rate correction value data. The figure shown about the example of filling rate correction value data. The figure shown about the structure of the article | item accommodation examination system of Example 4. FIG. The figure shown about the outline | summary of the accommodation examination of Example 4. FIG. The figure in the case of implementing the accommodation examination of Example 4. The figure shown about the case where arrangement pattern PA * PB which forms the virtual frame of the same dimension appears. The figure shown about the variation of the installation form of the order article in Example 4. FIG. The figure shown about the structure of the article | item accommodation examination system of Example 5. FIG. The figure shown about the storage container (bag) used as the examination object in Example 5. FIG. The figure in the case of implementing the accommodation examination of Example 5. The figure shown about the concept of application of an arrangement arrangement pattern, and an additional arrangement. The figure shown about the detail of step S76 in FIG. The figure shown about the detail of step S76c in FIG. The figure shown about the variation of the installation form of the order article examined in Example 5. FIG.

Explanation of symbols

13 Closest packing rate data 20 Order goods 21 Solid figure model 22 Container

Claims (24)

An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D3 for storing the closest packing ratio data in which the aspect ratio of the three-dimensional figure model is associated with the closest packing ratio corresponding to the aspect ratio;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the ordered article obtained by the means M1 from the means D2.
Based on the shape data acquired by the means M2, a means for obtaining a three-dimensional figure model containing the order article by calculation, and means for calculating an aspect ratio of the obtained three-dimensional figure model;
Means M4 for obtaining a close-packing rate corresponding to the aspect ratio determined by the means M3 from the means D3;
While calculating | requiring the volume of the solid figure model calculated | required by the said means M3, the volume of the calculated | required solid figure model, the closest packing rate calculated | required by the said means M4, and the order in the said order data acquired by the said means M1 Means M5 for calculating the article volume formed by the ordered articles for the number of orders from the quantity;
An article accommodation review system comprising: Means D6 for storing a plurality of types of three-dimensional figure models as model data for the three-dimensional figure model;
Means M11 for grasping the three-dimensional shape of the order article from the shape data acquired by the means M2 and selecting the three-dimensional figure model closest to the three-dimensional shape of the order article from the model data;
Comprising
In the means M3, the solid figure model selected by the means M11 is adopted, and the aspect ratio of the solid figure model is obtained by calculation,
In the means D3, the closest packing rate data in which the aspect ratio of each solid figure model of the model data is associated with the closest packing rate corresponding to each aspect ratio is stored,
In the means M4, the closest packing rate is obtained using the closest packing rate data corresponding to the solid figure model selected by the means M11.
The article accommodation review system according to claim 1, wherein: Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
The length ratio of the long side dimension L of the solid figure model obtained by the means M3 and the long side dimension L2 of the container obtained by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D5 for storing the filling rate correction value data;
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is obtained by calculation, and the means obtained by calculation from the means D5. Means M9 for obtaining a filling rate correction value corresponding to the length ratio;
Means M10 for correcting the close-packed filling rate obtained by the means M4 by multiplying the close-packed filling rate obtained by the means M4 by multiplying the filling rate correction value obtained by the means M9;
Comprising
The article accommodation examination system according to claim 1 or 2, characterized by the above-mentioned. Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
Comprising
The article accommodation review system according to claim 3, wherein: An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D7 in which representative articles of the same type as the ordered article are defined, and shape data specifying the shape of the representative article is stored as representative article data;
Means D13 for storing the closest packing rate of the representative article as the closest packing rate data;
When the dimensions of the ordered article and the representative article are different, the size changes according to the size of the different dimension, and the representative article filling rate correction value for correcting the closest packing rate is filled with the representative article. Means D8 for storing as rate correction value data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
A means M12 for selecting a representative article of the same type as the ordered article obtained by the means M1 from the means D7, and obtaining shape data of the representative article;
Means M13 for comparing the shape data of the representative article acquired by the means M12 with the shape data of the ordered article;
Means M14 for obtaining the closest packing rate corresponding to the representative article from the means D13;
In the means M13, means M15 for comparing the shape data of the representative article and the shape data of the ordered article;
In the means M15, when the shape data of the representative article is different from the shape data of the ordered article, the means D15 obtains the representative article filling rate correction value corresponding to the size of the different dimensions from the means D8. Means M16 for correcting the closest packing rate acquired by the means M14 using the acquired representative article filling rate correction value;
The volume of the ordered article is obtained by calculation from the shape data obtained by the means M2, and the volume of the ordered article obtained and the closest packing rate obtained by the means M14 or the corrected quantity obtained by the means M16. Means M17 for calculating an article volume formed by the ordered articles for the number of orders from the closest packing rate and the order quantity in the order data acquired by the means M1;
An article accommodation review system comprising: Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
Filling in which the length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D15 for storing rate correction value data;
The length ratio of the long side dimension L3 of the ordered article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is obtained by calculation, and the length obtained by calculation from the means D15. Means M18 for obtaining a filling rate correction value corresponding to the ratio;
By multiplying the filling rate correction value obtained by the means M18 by the closest packing rate obtained by the means M14 or the corrected closest packing rate obtained by the means M16, the means M14 Means M19 for correcting the close-packed filling rate acquired by the close-packed filling rate acquired by the above-mentioned means M16 or the corrected close-packed filling rate obtained by the means M16;
The article accommodation review system according to claim 5, comprising: Means M7 for calculating the volume of the container based on the specifications of the container acquired by the means M6, and for calculating the filling rate, which is the ratio of the article volume to the volume of the container determined,
Means M8 for determining whether or not the order article can be stored using the storage container from the filling rate obtained by the means M7;
The article accommodation study system according to claim 6, comprising: A long side dimension L1 of the ordered article obtained by the means M1, and
Compare the container long side dimension L2 of the container obtained by the means M6,
When the length ratio of the long side dimension L1 to the long side dimension L2 in the container is a predetermined value or more,
Comprising means M41 for terminating the accommodation examination process;
The article accommodation examination system according to any one of claims 3, 4, 6, and 7. An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
Means M21 for identifying a virtual plane, which is a cut surface when a vertical halfway portion of the container obtained by the means M6 is cut by a horizontal plane, from the specifications of the container;
Means for rotating the ordered articles obtained by the means M2 one by one around an axis perpendicular to the virtual plane so as not to overlap each other with respect to the virtual plane specified by the means M21 M22,
A frame surrounding all the order articles placed on the virtual plane by bringing the newly placed order article into contact with the order article already placed on the virtual plane by the means M22, and the virtual plane Means M23 for forming a virtual frame of similar shape;
When the number of the order articles arranged on the virtual plane increases and the area of the virtual frame exceeds the area of the virtual plane, the number obtained by subtracting 1 from the total number of the order articles already arranged Means M24, which is defined as the number of order articles arranged on a plane;
The height dimension of the storage container acquired by the means M6 is divided by the height dimension of the order article placed in the virtual plane to obtain the number of storable steps in the virtual plane in which the order article is placed. In addition, an article accommodation examination system comprising: means M25 for multiplying the number of storable stages by the number of arrangements obtained by the virtual plane means M24 to obtain the number of order articles that can be accommodated in the accommodation container. When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M26 for determining the number of ordered items that can be stored in the storage container for each installation mode;
The article accommodation review system according to claim 9, comprising: An article storage examination system for carrying out a storage examination performed when an article is stored in a storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each ordered article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means D9 for storing an alignment arrangement pattern when aligning and arranging articles with respect to a prescribed plane shape as alignment arrangement pattern data;
Means M1 for obtaining the order data of the ordered article from the means D1,
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1 from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
When the type of the container obtained by the means M6 is a bag, a means M31 for specifying a virtual plane, which is a cut surface when the middle part in the vertical direction of the bag is cut by a horizontal plane, from the specifications of the container When,
Means M32 for determining whether or not the alignment arrangement pattern can be applied to the arrangement of the order articles acquired by the means M2 with respect to the virtual plane specified by the means M31;
When the means M32 determines that the aligned arrangement pattern is applicable, the number of ordered articles arranged on the virtual plane specified from the aligned arrangement pattern is obtained and formed on the virtual plane. Means M33 for determining whether or not an additional order article can be placed in a surplus area, and determining the number of order articles that can be placed on the virtual plane;
Means M34 for obtaining an effective height that is a range in which the virtual plane is formed from the specifications of the container;
The effective height obtained by the means M34 is divided by the height dimension of the order article placed on the virtual plane to obtain the number of storable steps of the virtual plane on which the order article is placed, and the accommodation possible Means M35 for multiplying the number of steps by the number of ordered articles determined by the virtual plane means M33 to determine the number of ordered articles that can be stored in the storage container;
An article accommodation review system comprising: When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M36 for obtaining the number of ordered articles that can be arranged on the virtual plane for each of the installation forms,
The article accommodation review system according to claim 11, comprising: In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D3 for storing the closest packing ratio data in which the aspect ratio of the three-dimensional figure model is associated with the closest packing ratio corresponding to the aspect ratio;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the ordered article obtained by the means M1 from the means D2.
Means M3 for obtaining a three-dimensional figure model containing the ordered article by calculation based on the shape data acquired by the means M2, and for obtaining an aspect ratio of the obtained three-dimensional figure model by calculation;
Means M4 for obtaining the closest packing ratio corresponding to the aspect ratio determined by the means M3 from the means D3;
While calculating | requiring the volume of the solid figure model calculated | required by the said means M3, the volume of the calculated | required solid figure model, the closest packing rate calculated | required by the said means M4, and the order in the said order data acquired by the said means M1 Means M5 for calculating an article volume formed by the ordered articles for the number of orders from the number,
Program to function as. The program is a computer,
Means D6 for storing a plurality of types of solid figure models as model data for the solid figure model;
Function as means M11 for grasping the three-dimensional shape of the order article from the shape data acquired by the means M2 and selecting the three-dimensional figure model closest to the three-dimensional shape of the order article from the model data As well as
In the means M3, the solid figure model selected by the means M11 is adopted, and the aspect ratio of the solid figure model is obtained by calculation,
In the means D3, the closest packing rate data in which the aspect ratio of each solid figure model of the model data is associated with the closest packing rate corresponding to each aspect ratio is stored,
In the means M4, the closest packing rate is acquired using the closest packing rate data corresponding to the solid figure model selected by the means M11.
The program according to claim 13, wherein: The program is a computer,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
The length ratio between the long side dimension L of the solid figure model obtained by the means M3 and the long side dimension L2 of the container obtained by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D5 for storing the filling rate correction value data;
The length ratio of the long side dimension L of the three-dimensional figure model obtained by the means M3 and the long side dimension L2 of the storage container obtained by the means M6 is obtained by calculation, and the means obtained by calculation from the means D5. Means M9 for obtaining a filling rate correction value corresponding to the length ratio;
Means M10 for correcting the closest packing rate obtained by the means M4 by multiplying the closest packing rate obtained by the means M4 by the filling rate correction value obtained by the means M9;
The program according to claim 13 or 14, wherein the program is made to function as: The program is a computer,
Means M7 for calculating the volume of the storage container based on the specifications of the storage container acquired by the means M6, and for determining the filling rate which is the ratio of the volume of the article to the volume of the storage container calculated;
Means M8 for judging whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7;
The program according to claim 15, wherein the program is made to function as: In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D7 for defining a representative article of the same type as the ordered article and storing shape data specifying the shape of the representative article as representative article data;
Means D13 for storing the closest packing rate of the representative article as the closest packing rate data;
When the dimensions of the ordered article and the representative article are different, the size changes according to the size of the different dimension, and the representative article filling rate correction value for correcting the closest packing rate is filled with the representative article. Means D8 for storing as rate correction value data;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M12 for selecting a representative article of the same type as the order article obtained by the means M1 from the means D7, and obtaining shape data of the representative article;
Means M13 for comparing the shape data of the representative article acquired by the means M12 with the shape data of the ordered article;
Means M14 for obtaining a closest packing rate corresponding to the representative article from the means D13;
Means M15 for comparing the shape data of the representative article with the shape data of the order article in the means M13;
In the means M15, when the shape data of the representative article is different from the shape data of the ordered article, the means D15 obtains the representative article filling rate correction value corresponding to the size of the different dimensions from the means D8. Means M16 for correcting the closest packing rate acquired by the means M14 using the acquired representative article filling rate correction value;
The volume of the ordered article is obtained by calculation from the shape data obtained by the means M2, and the volume of the ordered article obtained and the closest packing rate obtained by the means M14 or the corrected quantity obtained by the means M16. Means M17 for calculating an article volume formed by the ordered articles for the number of orders from the closest packing ratio and the number of orders in the order data acquired by the means M1;
A program that functions as The program is a computer,
Means D4 for storing the specifications of the container as auxiliary material data;
Means M6 for obtaining the specifications of the container from the means D4;
Filling in which the length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is associated with the filling rate correction value corresponding to the length ratio. Means D15 for storing rate correction value data;
The length ratio of the long side dimension L3 of the order article acquired by the means M2 and the long side dimension L2 of the storage container acquired by the means M6 is obtained by calculation, and the length obtained by calculation from the means D15. Means M18 for obtaining a filling rate correction value corresponding to the ratio;
By multiplying the filling rate correction value obtained by the means M18 by the closest packing rate obtained by the means M14 or the corrected closest packing rate obtained by the means M16, the means M14 Means M19 for correcting the close-packed filling rate acquired by the close-packed filling rate acquired by the above-described means M16 or the corrected close-packed filling rate obtained by the means M16,
The program according to claim 14, wherein the program is made to function as: The program is a computer,
Means M7 for calculating the volume of the storage container based on the specifications of the storage container acquired by the means M6, and for determining the filling rate which is the ratio of the volume of the article to the volume of the storage container calculated;
Means M8 for judging whether or not the ordered article can be stored using the storage container from the filling rate obtained by the means M7;
The program according to claim 18, wherein the program is made to function as: The program is a computer,
A long side dimension L1 of the ordered article obtained by the means M1, and
Compare the container long side dimension L2 of the container obtained by the means M6,
When the length ratio of the long side dimension L1 to the long side dimension L2 in the container is a predetermined value or more,
Means M41 for terminating the accommodation examination process;
The program according to claim 19, wherein the program is made to function as: In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
Means M21 for identifying a virtual plane, which is a cut surface when a vertical halfway portion of the container obtained by the means M6 is cut along a horizontal plane, from the specifications of the container;
Means for rotating the ordered articles obtained by the means M2 one by one around an axis perpendicular to the virtual plane so as not to overlap each other with respect to the virtual plane specified by the means M21 M22,
A frame surrounding all the order articles placed on the virtual plane by bringing the newly placed order article into contact with the order article already placed on the virtual plane by the means M22, and the virtual plane Means M23 for forming a virtual frame of similar shape;
When the number of the order articles arranged on the virtual plane increases and the area of the virtual frame exceeds the area of the virtual plane, the number obtained by subtracting 1 from the total number of the order articles already arranged Means M24, which is defined as the number of order articles arranged on a plane;
The height dimension of the storage container acquired by the means M6 is divided by the height dimension of the order article placed in the virtual plane to obtain the number of storable steps in the virtual plane in which the order article is placed. And means M25 for obtaining the number of order articles that can be accommodated in the accommodation container by multiplying the number of storable stages by the number of arrangements obtained by the virtual plane means M24.
A program that functions as The program is a computer,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M26 for determining the number of ordered items that can be stored in the storage container for each installation mode;
The program according to claim 21, wherein the program is made to function as: In order to carry out the storage examination to be performed when storing the article in the storage container,
Means D1 for storing the order data of the ordered article to be considered for accommodation;
Means D2 for storing the shape data of each order article;
Means D4 for storing the specifications of the container as auxiliary material data;
Means D9 for storing, as arrangement arrangement pattern data, an arrangement arrangement pattern when the articles are arranged in alignment with respect to a prescribed plane shape;
Means M1 for obtaining the order data of the ordered article from the means D1;
Means M2 for obtaining shape data corresponding to the order article obtained by the means M1, from the means D2.
Means M6 for obtaining the specifications of the container from the means D4;
When the type of the container obtained by the means M6 is a bag, a means M31 for specifying a virtual plane, which is a cut surface when the middle part in the vertical direction of the bag is cut by a horizontal plane, from the specifications of the container ,
Means M32 for determining whether or not the alignment arrangement pattern can be applied to the arrangement of the order articles acquired by the means M2 with respect to the virtual plane specified by the means M31;
When the means M32 determines that the aligned arrangement pattern is applicable, the number of ordered articles arranged on the virtual plane specified from the aligned arrangement pattern is obtained and formed on the virtual plane. Means M33 for determining whether or not the order article can be additionally arranged in the surplus area and obtaining the number of order articles that can be arranged on the virtual plane;
Means M34 for obtaining an effective height which is a range in which the virtual plane is formed from the specifications of the container;
The effective height obtained by the means M34 is divided by the height dimension of the order article placed on the virtual plane to obtain the number of storable steps of the virtual plane on which the order article is placed, and the accommodation possible Means M35 for determining the number of ordered articles that can be accommodated in the container by multiplying the number of steps by the number of ordered articles determined by the virtual plane means M33;
A program that functions as The program is a computer,
When a plurality of installation forms for the virtual plane of the order article are assumed,
Means M36 for obtaining the number of ordered articles that can be arranged on the virtual plane for each of the installation forms,
The program according to claim 23, wherein the program is made to function as: