JP5082283B2 - Apparatus, method, and program for supporting process of determining packing pattern - Google Patents

Description

The present invention relates to a technique used by a person who decides a packaging pattern of an article (hereinafter referred to as a decider) in the process. In particular, the present invention relates to an apparatus, a method thereof, and a computer program for supporting the process of determining a package pattern of an article by a determiner.
The term “packing pattern of an article” used in the present specification is a concept including information for specifying a shape when the article is packed, and there is no restriction on a rule for specifying the shape. For example, “packing pattern of articles” includes information on containers for storing articles, information on the number of articles stored in the containers, and auxiliary materials (for example, partitions and wrapping paper) used in the containers. Information etc. may be included.

  For example, in a parts manufacturing factory or a factory that accepts parts from the parts manufacturing factory, it is necessary to determine the packaging pattern of new parts shipped from the parts manufacturing factory. In many sites, when determining the package pattern of a new part, a plurality of package pattern candidates are drafted, and one package pattern is determined from these candidates. For example, a plurality of component containers X, Y, and Z are designed as candidates, and one component container is determined from them.

Patent Document 1 below discloses a technique for determining a part packaging pattern using a computer. The computer stores a package form pattern employed for each of a plurality of types of parts (hereinafter referred to as past parts) for which a package form pattern has been determined in the past. The computer identifies a past part similar to the new part from which the package pattern is to be determined, and derives the package pattern of the new part based on the package pattern adopted for the identified past part.
Japanese Patent Laid-Open No. 2002-230058

  In the above-described conventional technology, the computer derives the packaging pattern of the new part. However, there is no guarantee that the packing pattern derived by the computer is the optimal packing pattern. Therefore, in actual operation, it is necessary to confirm that the package pattern of the new part is the optimum package pattern after the package pattern of the new part is determined by the computer. For example, it is necessary to actually pack parts into a container derived by a computer. If it is concluded that the optimal packing pattern is not the result of this confirmation work, a plurality of other packing pattern candidates are created based on the packing pattern obtained by the computer, and one of these candidates is selected. One packing pattern must be determined.

It takes a lot of time to design a plurality of packing pattern candidates and to examine each of these candidates to determine one packing pattern. A technique that can efficiently determine the packing pattern of an article is desired.
The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique by which a determiner can efficiently determine the packing pattern of an article. Thereby, it can be expected that the time required to determine the packing pattern can be shortened.

The present invention can be embodied in an apparatus that supports a process of determining a package pattern of an article by a determiner. This device includes a past information database, an input device, a specific device, and an output device.
The past information database includes, for each of a plurality of types of articles whose packing pattern has been determined in the past, item specifying information for the article, candidate information regarding a plurality of packing patterns that have been candidates for the article, and stored in association with that and how packing pattern adopted pattern information about whether adopted, About article. The article specifying information includes an article size and a plurality of items of information for specifying the article.
The input device inputs the item specifying information of the target item for which the packing pattern is to be determined.
Particular device, based on the respective article identification information stored in the article identification information and historical information database for input to the input device target object, similar types of articles that are similar to the target article to be determined Packing pattern Is identified.
The output device outputs “candidate information and adoption pattern information” of the article specified by the specifying device.
The identification device identifies one or more past articles having information that matches information of at least one item among a plurality of items included in the article identification information of the target article from a plurality of types of articles. One past article having an article size closest to the article size included in the article specifying information of the target article is specified as a similar kind of article from the two or more past articles.
The “article specifying information” may be any type of information that can specify an article, including an article size and a plurality of items of information for specifying the article. The “article specifying information” may include any of an article ID number, size, weight, supplier, delivery destination, and the like. For example, when the article specifying information includes the size of the article, the specifying device compares the size of the article input to the input device with the size of each article stored in the past information database, and is input to the input device. An article having a size (including the same) as that of the article may be specified from the past information database.
Further, the above “output” means that information is output so that the decision maker can perceive. The above “output” includes displaying on a display, printing, outputting information to another display device, and the like.

The above-described support device can be used when determining the packing pattern of a new article, and can also be used when reviewing the packing pattern of an article whose packing pattern has been determined in the past. . In the former case, the specifying device specifies an article of a type similar to the new article. This is because an article of the same type as the new article is not stored in the past information database. In the latter case, the specifying device may specify only the same type of article as the article whose packing pattern has been determined in the past, may specify only a similar type of article, or the same type of article. Both of similar types of articles may be specified.
By using the above support device, the determiner can select candidate information on a plurality of packing form patterns that have been candidates in the past for articles of the same type or similar type to the article whose packing pattern is to be determined, and their loads. It is possible to obtain employment information regarding which package pattern is adopted from among the pattern patterns. From this, it is possible to obtain a package form pattern that has been adopted in the past for an article of the same type or similar type to the article whose package form pattern is to be determined. In this case, a packing pattern candidate can be designed based on the packing pattern. Compared to the method of planning candidate packaging patterns from a state without any clues, candidate packaging patterns can be narrowed down. In addition, according to this support apparatus, it is possible to obtain a package form pattern that has not been adopted in the past for an article of the same type or a similar type as the article for which the package form pattern is to be determined. Since the package pattern that has been rejected in the past can be excluded from the subject of examination, candidate package patterns can be more efficiently narrowed down. It is possible to eliminate the inefficient work of planning and examining the packaging pattern that has been rejected in the past as a candidate again.
According to the present invention, the process of determining the package pattern of the article by the determiner is strongly supported, and the package pattern of the article can be determined efficiently. It can be expected that the time required to determine the packing pattern can be shortened.

The past information database, for each of multiple types of goods whose packing pattern has been determined in the past, article specification information, candidate information, adoption pattern information, and non-adoption of packing patterns that have been rejected for that article It is preferable to store the reason information regarding the reason in association with each other. In this case, it is preferable that the output device outputs “candidate information, adoption pattern information, and reason information” of the article specified by the specifying device.
If the reason for non-adoption of the packing pattern that has been rejected in the past is obtained, the validity of the reason for non-adoption can be examined. If the reason for non-adoption is reasonable, the packing pattern that has been rejected in the past can be excluded from consideration. However, the reason for non-adoption when the packing pattern has been determined in the past does not always apply to the present. For example, if the packing pattern is not adopted due to the non-adoption reason that the cost of the article container is high, the cost of the article container may be different from that at the time. If the current one is cheaper, the reason for non-adoption that the cost of the article container is high may not apply. In this case, it may be better to include packing patterns that have not been adopted in the past as candidates for examination. If the reason for non-recruitment is obtained, it is possible to know the packing pattern that should not be excluded from the candidates for examination.
The “reason for non-adoption of the non-adopted package pattern” is equal to the reason for adopting the adopted package pattern. Therefore, the process of storing or outputting the above reason information is equivalent to the process of storing or outputting the reason for adopting the adopted packaging pattern.

Each of the plurality of packing patterns included in the candidate information for each article may include container information relating to the article container and article number information relating to the number of articles accommodated in the article container. In this case, each packing pattern included in the candidate information output by the output device includes “container information and article number information”.
The determiner can obtain “container information and number-of-items information” used in the past for an item of the same type or a similar type as the item for which the packing pattern is to be determined. Further, the determiner can also obtain “container information and article number information” that has been rejected in the past. When these pieces of information are obtained, it is possible to efficiently determine the article container for the article whose packaging pattern is to be determined and the number of articles accommodated in the article container.

The container information may include main body information related to the container main body and auxiliary material information related to the auxiliary material used for the container main body. In this case, each package pattern included in the candidate information output by the output device includes “main body information, sub-material information, and article number information”.
Once this information is obtained, the container body for the article whose packaging pattern should be determined, the auxiliary materials used for the container body, and the number of articles accommodated in the container body can be efficiently determined. Can be determined.

It is preferable that the output device outputs cost efficiency information related to the current cost per article of the article container for each of a plurality of packing patterns included in the candidate information of the article specified by the specifying apparatus.
The determiner can perform planning work and decision work for the package pattern candidates while referring to the current cost efficiency information of each package pattern. Work can be done efficiently.

Preferably, the output device outputs volume efficiency information related to the volume per article of the article container for each of the plurality of packing patterns included in the candidate information of the article specified by the specifying device.
The determiner can perform planning work and decision work for the candidate for the package pattern while referring to the volumetric efficiency information of each package pattern. Work can be done efficiently.

  Each item specifying information stored in the past database may include size information regarding the size of the item. The article specifying information input to the input device may include size information regarding the size of the article. In this case, the specifying device may specify an article having a size approximate to the size included in the article specifying information input to the input device. This “approximate size” is a concept including “same size”.

The present invention also provides a method for assisting a determiner with a computer in the process of determining the packing pattern of an article. The computer includes, for each of a plurality of types of articles whose packing pattern has been determined in the past, article specifying information for the article, candidate information regarding a plurality of packing patterns that have been candidates for the article, and the article. which packing pattern has a adopted pattern information about whether adopted, the past information database stored in association with that of the. The article specifying information includes an article size and a plurality of items of information for specifying the article. This computer executes an input process, a specific process, and an output process. In the input step, the article specifying information of the target article for which the packing pattern is to be determined is input. In certain processes, based on the respective article identification information stored in the article identification information and historical information database of the target article input at the input step, similar types of articles that are similar to the target article to be determined Packing pattern Is identified. In the output step, “candidate information and adoption pattern information” of the article specified in the specifying step is output. The specifying step is a step of specifying one or more past articles having information that matches information of at least one item among a plurality of items included in the article specifying information of the target article from a plurality of types of articles; Identifying one past article having an article size closest to the article size included in the article specifying information of the target article from the one or more past articles described above as a similar type article. It is out.
According to this method, the process of determining the package pattern of an article is strongly supported, and the package pattern of the article can be determined efficiently.

The present invention also provides a computer program for assisting a determiner in determining a package pattern of an article. This computer program causes a computer to execute a database construction process, an input process, a specific process, and an output process. In the database construction process, for each of a plurality of types of articles whose packing pattern has been determined in the past, item specifying information for the article, candidate information regarding a plurality of packing patterns that have been candidates for the article, building a historical information database by association with each and employed the pattern information, the related whether what type of packing pattern for the article was adopted. The article specifying information includes an article size and a plurality of items of information for specifying the article. In the input step, the article specifying information of the target article for which the packing pattern is to be determined is input. In certain processes, based on the respective article identification information stored in the article identification information and historical information database of the target article input at the input step, similar types of articles that are similar to the target article to be determined Packing pattern Is identified. In the output step, “candidate information and adoption pattern information” of the article specified in the specifying step is output. The specifying step is a step of specifying one or more past articles having information that matches information of at least one item among a plurality of items included in the article specifying information of the target article from a plurality of types of articles; Identifying one past article having an article size closest to the article size included in the article specifying information of the target article from the one or more past articles described above as a similar type article. It is out.
According to this computer program, it is possible to realize a computer that can strongly support the process of determining a package pattern of an article by a determiner. By using this computer, the determiner can efficiently determine the packaging pattern of the article.

Here, the technical features described in the following examples are listed.
(Mode 1) The article specifying information includes an ID number of an article (parts in the following embodiment), an article name, a size, a weight, information on the supplier of the article, and information on a delivery destination of the article. Yes.
(Mode 2) Priorities are determined for a plurality of items included in the article specifying information. The process of specifying an article similar to the new article is executed according to the priority order.
(Mode 3) The process of specifying an article similar to the new article may be executed by specifying an article having the same product name as that of the new article.
(Mode 4) When an article similar to the new article is specified, an article specified in the past as an article similar to the specified article may be further specified. In this case, candidate information and employment information for articles similar to the new article are output, and candidate information and employment information for articles similar to the new article are output.

Embodiments of the present invention will be described with reference to the drawings. In this embodiment, a computer used by a person who decides a packaging pattern of parts to be transported from a parts factory to a finished product factory will be described.
FIG. 1 simply shows how parts are transported from parts factories F1, F2, F3 to finished product factories F4, F5. Various parts P1 to P4 are transported from the plurality of parts factories F1 to F3 to the finished product factories F4 and F5. In this embodiment, the parts factories F1 to F3 are called parts suppliers, and the finished product factories F4 and F5 are called parts suppliers. The finished product factories F4 and F5 of this embodiment are factories for manufacturing automobiles. Accordingly, the parts P1 to P4 delivered from the parts factory F1 to F3 to the finished product factories F4 and F5 are parts related to automobiles.
FIG. 1 shows only three parts factories F1 to F3, two finished product factories F4 and F5, and four types of parts P1 to P4. However, the number of types of parts used when manufacturing automobiles is very large. There are more parts factories and finished product factories. The computer according to the present embodiment strongly supports the process of determining the packing pattern for a new part by the determiner in such a large-scale production system.

FIG. 2 schematically shows functions realized by the computer 10 of this embodiment. The computer 10 includes a CPU, a ROM, a RAM, and the like (not shown). The computer 10 stores a computer program for realizing each function shown in FIG. Each function shown in FIG. 2 is realized by this computer program functioning in cooperation with hardware.
The computer 10 includes an input device 20, a plurality of processing units 22 to 36, a plurality of storage units 50 to 82, and an output device 40.
The input device 20 is configured by a keyboard, a mouse, and the like. The user can input various information using the input device 20.
FIG. 3 shows an example of information input by the user. In the present embodiment, information for specifying a new part for which a package pattern is to be determined is input. The part identification information of the new part includes a part ID, a product name, a size, a weight, a supplier, and a delivery destination.
The component ID is a number for identifying the component and is expressed by a 10-digit number. In the example of FIG. 3, “11111-10001” is input as the component ID of the new component. The five-digit number before the component ID indicates the specification of the component. The specification of a part is the property of the part (the use and characteristics of the part). The last five digits indicate the model of the finished car.
The product name is the name of the part. In the example of FIG. 3, “shift knob” is input.
The size is defined by the vertical size, horizontal size, and height size of the part. In the example of FIG. 3, the vertical size is 100 (mm), the horizontal size is 150 (mm), and the height size is 140 (mm).
The weight is the weight of the part. In the example of FIG. 3, 385 (g) is input.
The supplier indicates information for specifying the parts factory of the parts supplier. In the example of FIG. 3, the parts factory F1 is input.
The delivery destination indicates information for identifying the finished product factory to which the parts are delivered. In the example of FIG. 3, the finished product factory F5 is input.

Each processing unit 22 to 36 illustrated in FIG. 2 executes various processes based on information (see FIG. 3) input to the input device 20 and the storage contents of each storage unit 50 to 82. The contents of the processing executed by each processing unit 22 to 36 will be described in detail later.
The user (decision person) stores information in each of the storage units 50 to 82 prior to performing the operation of determining the packaging pattern of the new part using the computer 10. The contents stored in each of the storage units 50 to 82 will be described in detail later.
The output device 40 of the present embodiment is a display. The output device 40 displays information obtained by the processing units 22 to 36.

The component identification processing unit 22 executes the component identification processing using the new component identification information (see FIG. 3) input to the input device 20 and the storage contents of the three storage units 50, 52, and 56. Before explaining the contents of the component specifying process, the contents stored in the storage units 50, 52, and 56 will be described.
FIG. 4 shows an example of the stored contents of the similar word information storage unit 50. The similar word information storage unit 50 stores a plurality of names having the same meaning in pairs. For example, “Engine”, “E / G”, and “Enjin” are stored as a set. Further, for example, “shift knob”, “shift knob”, and “Shift Knob” are stored as a set.
FIG. 5 shows an example of the contents stored in the priority order storage unit 52. The priority storage unit 52 stores the priority of each item used when specifying similar parts. In the example of FIG. 5, the priority order is determined in the order of the model of the finished product, the delivery destination, the supplier, the size, and the product name. A component specifying process to be described later executes a process according to this priority order.
FIG. 6 shows an example of the contents stored in the component information storage unit 56. The part information storage unit 56 stores information for specifying each part (hereinafter referred to as a past part) for which a packing pattern has been determined in the past. That is, the part specifying information of each past part is stored. Each past part specifying information includes a part ID, a product name, a size, a weight, a material, presence / absence of a dangerous material, a supplier, and a delivery destination. The material is the main material of the part. In the example of FIG. 6, materials such as synthetic leather and PP are stored. The presence / absence of a dangerous material indicates whether the part contains a dangerous material.

The component identification processing unit 22 identifies past components that are similar to the new component by using the new component identification information input to the input device 20 and the storage contents of the storage units 50, 52, and 56. The component identification process is performed by searching the component information storage unit 56 using the input new component identification information as a key. The component identification processing unit 22 is executed in accordance with the priority order stored in the priority order storage unit 52 (see FIG. 5). In this embodiment, processing is executed in the order of model, delivery destination, supplier, size, and name (see FIG. 5).
FIG. 7 shows a flowchart of the component specifying process. The component identification processing unit 22 determines whether there is a past component having the same model number as the new component (see FIG. 3) (S2). In this embodiment, since the model of the new part is “10001 (5 digits after the part ID)” (see FIG. 3), the past part having the part ID whose last 5 digits is “10001”. Is present in the component information storage unit 56. If there is a past part of the same model as the new part, the past part (or past part group if there are multiple parts) is specified, and the process proceeds to S4. If there is no past part of the same model as the new part, the process proceeds to S6.
In S4, it is determined whether or not a past part of the same delivery destination as the new part exists in the past part (group) specified in S2. In this embodiment, since the delivery destination of the new part is “F5” (see FIG. 3), it is determined whether there is a past part of the delivery destination of “F5”. If there is a past part with the same delivery destination as the new part, the past part (group) is specified, and the process proceeds to S8. If there is no past part with the same delivery destination as the new part, the process proceeds to S10.
In S6 (when there is no past part of the same model in S2), whether or not there is a past part of the same delivery destination as the new part among all the past parts included in the part information storage unit 56. Is judged. If there is a past part with the same delivery destination as the new part, the past part (group) is specified, and the process proceeds to S12. If there is no past part with the same delivery destination as the new part, the process proceeds to S14.

In S8, it is determined whether a past part of the same supplier as the new part exists in the past part (group) specified in S4. In this embodiment, since the supplier of the new part is “F1” (see FIG. 3), it is determined whether or not there is a supplier part of “F1”. If there is a past part of the same supplier as the new part, the past part (group) is specified, and the process proceeds to S16. If there is no past part of the same supplier as the new part, the process proceeds to S18.
In S10, it is determined whether a past part of the same supplier as the new part exists in the past part (group) specified in S2. If there is a past part of the same supplier as the new part, the past part (group) is specified, and the process proceeds to S20. If there is no past part with the same supplier as the new part, the process proceeds to S22.
In S12, it is determined whether a past part of the same supplier as the new part exists in the past part (group) specified in S6. If there is a past part of the same supplier as the new part, the past part (group) is specified, and the process proceeds to S24. If there is no past part with the same supplier as the new part, the process proceeds to S26.
In S <b> 14, it is determined whether or not there is a past part of the same supplier as the new part among all the past parts included in the part information storage unit 56. If there is a past part of the same supplier as the new part, the past part (group) is specified, and the process proceeds to S28. If there is no past part with the same supplier as the new part, the process proceeds to S30.

In S <b> 16 to S <b> 28, one past part having a size closest to the size of the new part is specified from the past parts specified in the upper step (hereinafter referred to as a target part). The following method can be adopted as a method for specifying a past part having a size closest to the size of the new part.
In this method, (vertical size of new part−vertical size of target part) ² + (horizontal size of new part−horizontal size of target part) ² + (height size of new part−height size of target part) ² Is calculated for each target part. In S16 to S28, the target component having the smallest value is specified.
In S16 to S28, the vertical size is larger than the vertical size of the new component, the horizontal size is larger than the horizontal size of the new component, and the height size is larger than the height size of the new component. In addition, the target component having the minimum value may be specified. In S16 to S28, the vertical size is smaller than the vertical size of the new component, the horizontal size is smaller than the horizontal size of the new component, and the height size is smaller than the height size of the new component. In addition, the target component having the minimum value may be specified.
It is preferable that the user (determinant) can arbitrarily set the computer 10 as to which of the above methods is adopted. If it does in this way, the user can change a method according to the kind of new parts.
The target part specified in S16 to S28 is a similar part of the new part. Component identification information (for example, component ID) of similar components is used by each processing unit 24 to 36 (see FIG. 2) described later.

In S30, the component identification processing unit 22 searches the component information storage unit 56 using the name of the new component as a key. In this embodiment, since the name of the new part is “shift knob”, the past part of “shift knob” is specified from the part information storage unit 56. In the process of S30, the stored contents of the similar word information storage unit 50 are used. For example, “shift knob”, “shift knob”, and “Shift Knob” are treated as the same name.
The past part specified in S30 is a similar part of the new part. When a plurality of past parts are specified in S30, one past part having a size closest to the size of the new part may be specified. Moreover, you may narrow down to one past part using another method. For example, you may make it narrow down to the past components with the most excellent cost efficiency (cost per component of a container) and volume efficiency (volume per component of a container) mentioned later. It is preferable that the computer 10 can arbitrarily set which method is used to narrow down to one past part.
When the component specifying process in FIG. 7 is completed, one past component similar to the new component is specified. In the present embodiment, it is assumed that a past part (see FIG. 6) with a part ID “11111-00000” is identified by the part identification processing unit 22.

The component identification information of the similar component identified by the component identification processing unit 22 is used by the reference component identification processing unit 24 (see FIG. 2). The reference component identification processing unit 24 executes reference component identification processing based on the component ID of the similar component and the stored contents of the reference information storage unit 58.
FIG. 8 shows an example of the stored contents of the reference information storage unit 58. The reference information storage unit 58 stores the proposed component ID and the reference component ID as a set. The proposed part ID is an ID of a past part for which a packing pattern has been determined in the past. The reference part ID is an ID of a part specified by the part specifying process (see FIG. 7) when the computer 10 is used to determine the packaging pattern of the past part.
In the example of FIG. 8, the proposed component ID “11111-00000” and the reference component ID “11111-00003” are grouped. This means that the part ID “11111-00003” has been specified by the part specifying process when determining the packing pattern of the part ID “11111-00000”. In the example of FIG. 8, the proposed component ID “11111-00003” and the reference component ID “11111-00005” are grouped. This means that the component with the component ID “11111-00005” has been identified by the component identification process when the packaging pattern of the component with the component ID “11111-00003” is determined.
The reference component identification processing unit 24 identifies the reference component ID paired with the proposed component ID, using the component ID of the similar component identified in the component identification process (see FIG. 7) as the proposed component ID in FIG. . In this embodiment, since the component ID specified in the component specifying process is “11111-00000”, the reference component ID “11111-00003” is specified.
Further, the reference component identification processing unit 24 further identifies a reference component ID that is paired with the proposed component ID, with the identified reference component ID “11111-00003” as the proposed component ID. In the example of FIG. 8, the reference part ID “11111-00005” is specified. The reference component identification processing unit 24 repeats the process of identifying the reference component ID that is paired with the proposed component ID using the identified reference component as the proposed component ID until there is no reference component. In the present embodiment, it is assumed that there is no reference component ID paired with the proposed component ID “11111-00005”. Therefore, in the reference component specifying process of the present embodiment, the reference component ID “11111-00003” and the reference component ID “11111-00005” are specified.

As described above, in this embodiment, the component identification processing unit 22 identifies the component ID “11111-00000”, and the reference component identification processing unit 24 identifies the component ID “11111-00003” and the component ID “11111-00005”. Identified. These three component IDs are used by the examination result identification processing unit 26 described later.
The examination result identification processing unit 26 executes examination result identification processing based on the above-described three component IDs and the stored contents of the storage units 60, 62, 64, 66, 68, and 70. Before explaining the contents of the examination result specifying process, the contents stored in the storage units 60, 62, 64, 66, 68, and 70 will be explained.

FIG. 9 shows an example of the stored contents of the candidate information storage unit 60. The candidate information storage unit 60 stores a part ID, a supplier, a delivery destination, a proposal ID, a box ID, a secondary material ID, a number of accommodations, and a date.
A plurality of proposal IDs are associated with one component ID. For example, three proposal IDs “00001”, “00002”, and “00003” are associated with the component ID “11111-00000”. The proposal ID is an ID for specifying a packing pattern (a box ID, a secondary material ID, a number of accommodations, etc.) that has become a candidate in the past for the associated part ID. Therefore, for the component with the component ID “11111-00000”, this means that three packing patterns are candidates in the past. In addition, two proposal IDs “00001” and “00002” are associated with the component ID “11111-00003”. This means that two package patterns have been candidates in the past for the component with the component ID “11111-00003”.
The box ID is an ID for specifying a container for housing a part. Box ID is matched with each proposal ID. For example, the box ID “T0001” is associated with the proposal ID “00001” of the component ID “11111-00000”. This means that the container having the box ID “T0001” is listed as a candidate for the container having the component ID “11111-00000”.
The secondary material ID is an ID for specifying the secondary material (partition, wrapping paper, etc.) used for the container. The secondary material ID is associated with each proposal ID. For example, the sub-material ID “D0010” is associated with the proposal ID “00002” of the component ID “11111-00000”. This means that the container (T0002) that accommodates the component with the component ID “11111-00000” is listed as a candidate for using the subsidiary material with the subsidiary material ID “D0010”. There is a place where the secondary material ID is blank. For example, the secondary material ID is not associated with the proposal ID “00001” of the component ID “11111-00000”. This means that the use of secondary materials was a candidate.

The accommodated number is the number of parts accommodated in the container. The accommodation number is associated with each proposal ID. For example, the proposal ID “00001” of the component ID “11111-00000” is associated with the accommodation number of “4” vertically, “6” horizontally, and “1” in height. This means that four parts are arranged in the vertical direction and six parts are arranged in the horizontal direction in the container (T0001). In this case, since the height is “1”, it means that the parts are not stacked in the height direction. That is, in this example, a total of 24 parts are accommodated in the container (T0001).
The date is the date on which the packing pattern (box ID, secondary material ID, number of accommodations, etc.) was proposed. The date is associated with each proposal ID. For example, “2002/5/5” is associated with the proposal ID “00001” of the component ID “11111-00000”. This means that the packing pattern of the proposal ID “00001” was proposed on May 5, 2002.

FIG. 10 shows an example of the stored contents of the box information storage unit 62. The box information storage unit 62 stores the box ID, type, external size, internal size, weight, nesting, folding height, material, and R / E as a set.
The type means the type of the container (box). In the example of FIG. 10, the box IDs “T0001” and “T0002” are PP boxes, and the box ID “R0001” is a rack.
The external size is defined by an outer vertical size, an outer horizontal size, and an outer height size. The external size is the size of the outer surface of the container. For example, the container of the box ID “T0001” has an outer vertical size of 300 (mm), an outer horizontal size of 350 (mm), and an outer height size of 200 (mm).
The internal size is defined by an internal vertical size, an internal horizontal size, and an internal height size. The internal size is the size of the inner surface of the container, and is smaller than the external size by an amount corresponding to the thickness of the container. For example, the container with the box ID “T0001” has an inner vertical size of 280 (mm), an inner horizontal size of 330 (mm), and an inner height size of 190 (mm).
The weight is the weight of the container (not including secondary materials) in a state where no parts are accommodated. For example, the container with the box ID “T0001” is 520 (g).
Nesting is the allowance for stacking boxes.
The folding height is the height when the container is folded without accommodating any parts.
The material is the main material of the container. In FIG. 10, the containers with the box IDs “T0001” and “T0002” are made of PP, and the container with the box ID “R0001” is made of iron.
R / E is an abbreviation for “Returnable” and “Expandable”. That is, R / E indicates whether or not it is reused. For example, “RET” is associated with the box ID “T0001”. This means that it will be reused.

FIG. 11 shows an example of the contents stored in the box cost information storage unit 64. The box cost information storage unit 64 stores the box ID, initial cost, maintenance cost, and effective date as a set.
The initial cost is a cost required to purchase one container. In FIG. 11, the initial cost of the container with the box ID “T0001” is 500 (yen), and the initial cost of the container with “T0002” is 550 (yen).
The maintenance cost is a cost required for one year of maintenance for one container. In FIG. 11, the maintenance cost of the container with the box ID “T0001” is 50 (yen), and the initial cost of the container with the “T0002” is 45 (yen).
The effective date is the date on which the initial cost and the maintenance cost are applied. For example, each cost of the container having the box ID “T0001” has an effective date of February 13, 2000. This means that after February 13, 2000, the initial cost of the container with the box ID “T0001” is 500 (yen) and the maintenance cost is 50 (yen). That is, before February 13, 2000, it means that the initial cost and the maintenance cost are different from the numerical values shown in FIG. 11 (or there is no container).

FIG. 12 shows an example of the contents stored in the auxiliary material information storage unit 66. The secondary material information storage unit 66 stores the secondary material ID, type, size, weight, material, and R / E as a set.
The type is the type of secondary material. In the example of FIG. 12, the secondary material with the secondary material IDs “D0001” and “D0010” is a partition, and the secondary material with the secondary material ID “D0200” is packaging.
The size is defined by the vertical size, horizontal size, and height size of the secondary material. For example, the secondary material with the secondary material ID “D0001” has a vertical size of 280 (mm), a horizontal size of 330 (mm), and a height size of 150 (mm).
The weight is the weight of the auxiliary material alone. For example, the secondary material with the secondary material ID “D0001” is 100 (g).
The material is the main material of the auxiliary material. In FIG. 12, the secondary material with the secondary material IDs “D0001” and “D0010” is composed of PE, and the secondary material with the secondary material ID “D0200” is composed of paper.
R / E indicates whether or not it is to be reused.

FIG. 13 shows an example of the stored contents of the auxiliary material cost information storage unit 68. The secondary material cost information storage unit 68 stores the secondary material ID, the initial cost, the maintenance cost, and the date.
The initial cost is a cost necessary for purchasing one secondary material. The maintenance cost is a cost required for one year of maintenance for one auxiliary material. In this embodiment, the secondary material is replaced with a new one when used for one year. For this reason, the initial cost and the maintenance cost are the same value.
In the present embodiment, two effective dates (February 3, 2000 and May 11, 2002) are associated with the secondary material ID “D0001”. This is because the initial cost “50 (yen)” and the maintenance cost “50 (yen)” have been applied to the secondary material with the secondary material ID “D0001” from February 3, 2000, on May 11, 2002. Therefore, the initial cost “55 (yen)” and the maintenance cost “55 (yen)” are applied.

FIG. 14 shows an example of the contents stored in the employment information storage unit 70. The employment information storage unit 70 stores a part ID, a proposal ID, an employment result, and an employment reason (non-adoption reason) in pairs.
The adoption result indicates which proposal ID's packing pattern has been adopted. For example, the proposal ID “00003” is adopted for the component ID “11111-00000”. The proposal ID “00001” is adopted for the component ID “11111-0003”.
The reason for adoption is associated with the proposal ID that has been rejected, and simply shows the reason for rejection. For example, the proposal ID “00001” of the component ID “11111-00000” is associated with the reason “quality”. This means that it has been rejected because it may impair the quality of the parts. Further, for example, the proposal ID “00002” of the component ID “11111-00000” is associated with the reason “maximum accommodation number”. This means that the number of parts accommodated in the container was not adopted because it did not meet the demands of the site. Further, for example, the proposal ID “00002” of the component ID “11111-00003” is associated with the reason “cost”. This means that it was rejected due to high costs.

  In addition, all the information of each said memory | storage parts 56-70 can be matched with component ID by which the package pattern was determined in the past. Therefore, all of these pieces of information may be managed together in one database 54.

The examination result identification processing unit 26 illustrated in FIG. 2 uses the component ID (“11111-00000” in this embodiment) of the similar component identified by the component identification processing unit 22 as a key, and the candidate information storage unit 60 (see FIG. 9). To identify each piece of information (a supplier, a delivery destination, a proposal ID, a box ID, a secondary material ID, an accommodation number, a date) associated with the component ID.
Further, the examination result specifying processing unit 26 searches the box information storage unit 62 (see FIG. 10) and the box cost information storage unit 64 (see FIG. 11) using the specified box ID as a key, and associates it with the box ID. Information (type, external size, internal size, weight, nesting, folding height, material, R / E, initial cost, maintenance cost, effective date) is specified. In this embodiment, the box IDs associated with the component IDs “11111-00000” of the similar components identified by the component identification processing unit 22 are “T0001” and “T0002” (see FIG. 9). For this reason, the box information storage unit 62 and the box cost information storage unit 64 are searched using each box ID as a key.
Further, the examination result identification processing unit 26 searches the subsidiary material information storage unit 66 (see FIG. 12) and the subsidiary material cost information storage unit 68 (see FIG. 13) using the identified subsidiary material ID as a key, and the subsidiary material ID. Each information (type, size, weight, material, R / E, initial cost, maintenance cost, effective date) associated with is identified. In the present embodiment, the secondary material IDs associated with the component ID “11111-00000” of the similar component identified by the component identification processing unit 22 are “D0010” and “D0001” (see FIG. 9). Therefore, the secondary material information storage unit 66 and the secondary material cost information storage unit 68 are searched using each secondary material ID as a key.
Further, the examination result identification processing unit 26 searches the employment information storage unit 70 (see FIG. 14) using the component ID of the similar component identified by the component identification processing unit 22 (“11111-00000” in this embodiment) as a key. Then, each piece of information (suggest ID, result, reason) associated with the component ID is specified.

  Further, the examination result identification processing unit 26 uses the component IDs of the reference components identified by the reference component identification processing unit 24 (in the present embodiment, “11111-00003” and “11111-00005”) as a key, and the candidate information storage unit 60. To identify each piece of information associated with the component ID. The examination result specification processing unit 26 searches the box information storage unit 62 and the box cost information storage unit 64 using the specified box ID as a key, and specifies each piece of information associated with the box ID. The examination result identification processing unit 26 searches the subsidiary material information storage unit 66 and the subsidiary material cost information storage unit 68 using the identified subsidiary material ID as a key, and identifies each piece of information associated with the subsidiary material ID. In addition, the examination result identification processing unit 26 uses the component ID of the reference component identified by the reference component identification processing unit 24 (in the present embodiment, “11111-00003” and “11111-00005”) as a key. To identify each piece of information associated with the component ID.

The transportation condition identification processing unit 28 shown in FIG. 2 executes the transportation condition identification processing using the information identified by the examination result identification processing unit 26 and the stored contents of the transportation information storage unit 72.
FIG. 15 shows an example of the contents stored in the transport information storage unit 72. The transportation information storage unit 72 stores the supplier, the delivery destination, the transportation means, and the effective date.
The transportation means indicates whether a trailer or a train ship is used. For example, when the supplier is F1 and the delivery destination is F4, a trailer is used and a train and a ship are not used. For example, when the supplier is F1 and the delivery destination is F5, a trailer and a train are used, and a ship is not used.
The effective date is the date on which the means of transportation was applied. For example, when the supplier is F1 and the delivery destination is F4, “2001/9/20” is associated. This means that after September 20, 2001, a trailer is used when parts are transported from F1 to F4.

The transportation condition identification processing unit 28 searches the transportation information storage unit 72 using the supplier and the delivery destination identified by the examination result identification processing unit 26 as keys, and each of the transportation condition identification processing units 28 is associated with the supplier and the delivery destination. Identify information (transportation conditions and date).
For example, in this embodiment, the supplier F2 and the delivery destination F4 with the component ID “11111-00000” are specified by the examination result specifying processing unit 26 (see FIG. 9). In this case, the transportation condition specification processing unit 28 searches the transportation information storage unit 72 using the supplier F2 and the delivery destination F4 as keys.
Further, in the present embodiment, the examination result identification processing unit 26 identifies the supplier F1 and the delivery destination F5 having the component ID “11111-00003” (see FIG. 9). The transportation condition specification processing unit 28 searches the transportation information storage unit 72 using the supplier F1 and the delivery destination F5 as keys, thereby making the trailer “YES”, the train “YES”, the ship “NO”, the effective date “ “2001/9/20” is specified (see FIG. 15).
Further, in the present embodiment, the supplier and the delivery destination of the component ID “11111-00005” are specified by the examination result specifying processing unit 26. The transportation condition specification processing unit 28 searches the transportation information storage unit 72 using the supplier and the delivery destination as keys.

The surplus box number calculation processing unit 30 shown in FIG. 2 uses the information specified by the examination result specifying processing unit 26, the storage content of the box possession information storage unit 74, and the storage content of the necessary box number information storage unit 76. The box number calculation process is executed.
FIG. 16 shows an example of the stored contents of the box possession information storage unit 74. The box possession information storage unit 74 stores a supplier, a box ID, a date, and a quantity as a set.
The date is the date when the container was purchased or the date when the container was inventoried. If the container is purchased, the quantity is a positive value, and if the container is inventoried, the quantity is a negative value. For example, in the supplier F2, 1000 containers of the box ID “T0001” were purchased on April 1, 2000, 500 were purchased on February 10, 2001, and December 2001 On the 20th, 200 were inventoried, 400 were purchased on March 10, 2002, and 500 were purchased on May 25, 2004. Purchased containers can be used by the supplier, and inventoryed containers cannot be used by the supplier.

FIG. 17 shows an example of the contents stored in the necessary box number information storage unit 76. The required box number information storage unit 76 stores a supplier, a box ID, a date, and a required number of boxes.
The required number-of-boxes information storage unit 76 stores the required number of boxes required every day at the supplier. For example, it is shown that the supplier F2 needed 1200 containers with the box ID “T0001” on April 30, 2002. In this embodiment, the container transported from the supplier to the delivery destination is collected by the supplier and reused. Therefore, even if 1200 containers (T0001) are used on April 30, 2002, the 1200 containers can be used again the next day.

The surplus number calculation processing unit 30 uses the supplier specified by the examination result specifying processing unit 26, the box ID, and the date (the date when the candidate for the packing pattern is proposed) as a key. (See FIG. 16). Thus, the number of containers that can be used by the supplier on the date is specified.
For example, in the present embodiment, the supplier “F2”, the box IDs “T0001”, and “2002/5/5” of the component ID “11111-00000” are specified by the examination result specifying processing unit 26 (see FIG. 9). ). In this case, the number of containers (box ID “T0001”) that can be used by the supplier F2 on May 5, 2002 is calculated. Taking FIG. 16 as an example, the sum of each quantity included in the range indicated by the arrow is calculated. Specifically, by executing 1000 + 500−200 + 400, a numerical value of 1700 (hereinafter referred to as the number of holding boxes) is calculated.
Further, in the present embodiment, the supplier “F2”, the box IDs “T0002” and “2002/5/5” of the component ID “11111-00000” are specified by the examination result specifying processing unit 26 (see FIG. 9). . In this case, the number of containers (box ID “T0002”) that can be used by the supplier F2 on May 5, 2002 is calculated. That is, the number of boxes owned by the supplier F2 and the box ID “T0002” is calculated.
Further, in the present embodiment, the supplier and box ID and date of the part ID “11111-00003” are specified by the examination result specifying processing unit 26, and the supplier and box of the part ID “11111-00005” are specified. ID and date are specified. The surplus number calculation processing unit 30 calculates the number of owned boxes from these pieces of information in the same manner as described above.

The surplus number calculation processing unit 30 uses the supplier specified by the examination result specifying processing unit 26, the box ID, and the date (the date on which the packing pattern candidate is proposed) as a key, and the box possession information storage unit 76 ( (See FIG. 17). Thereby, the maximum value of the required number of boxes at the supplier for the year and month (hereinafter referred to as the maximum required number) is specified.
For example, in the present embodiment, the supplier “F2”, the box IDs “T0001”, and “2002/5/5” of the component ID “11111-00000” are specified by the examination result specifying processing unit 26 (see FIG. 9). ). In this case, the maximum value of the required number of boxes (box ID “T0001”) in the supplier F2 in May 2002 is specified. Taking FIG. 17 as an example, the maximum value among the required number of boxes included in the range (May 2002) indicated by the arrow is specified. In this embodiment, it is assumed that 1400 pieces on May 2, 2002 was the maximum required number.
Further, in the present embodiment, the supplier “F2”, the box IDs “T0002” and “2002/5/5” of the component ID “11111-00000” are specified by the examination result specifying processing unit 26 (see FIG. 9). . In this case, the maximum necessary number (box ID “T0002”) in the supplier F2 in May 2002 is specified.
Further, in the present embodiment, the supplier and box ID and date of the part ID “11111-00003” are specified by the examination result specifying processing unit 26, and the supplier and box of the part ID “11111-00005” are specified. ID and date are specified. The surplus number calculation processing unit 30 specifies the maximum required number from these pieces of information in the same manner as described above.

The surplus number calculation processing unit 30 calculates a surplus number for each packing pattern (supplier, box ID, and date) specified by the examination result specifying processing unit 26. More specifically, the surplus number calculation processing unit 30 executes a process of subtracting the maximum necessary number from the number of owned boxes.
For example, the number of owned boxes calculated based on the supplier “F2”, the box IDs “T0001”, and “2002/5/5” is 1700. In this case, the maximum required number is 1400. In this case, a surplus number of 300 is calculated by subtracting 1400 from 1700. The surplus number means the number of containers (box ID “T0001”) that can be freely used by the supplier F2 in May 2002.
Further, for example, the surplus number calculation processing unit 30 subtracts the maximum necessary number from the number of owned boxes calculated based on the supplier “F2”, the box IDs “T0002”, and “2002/5/5”. Is calculated. The surplus number calculation processing unit 30 calculates a surplus number for each of the other packing patterns.

The maximum accommodation number identification processing unit 32 shown in FIG. 2 executes the maximum accommodation number identification process using the information identified by the examination result identification processing unit 26 and the stored contents of the maximum accommodation number information storage unit 78.
FIG. 18 shows an example of the stored contents of the maximum accommodation number information storage unit 78. The maximum accommodation number information storage unit 78 stores a part ID, a delivery destination, a maximum accommodation number, and a date. The maximum accommodation number information storage unit 78 stores the number (maximum accommodation number) when the upper limit of the number of components accommodated in one container is determined by the delivery destination.
For example, for the part with the part ID “11111-00000”, the maximum accommodation number “30 (pieces)” is determined in the delivery destination F4. The date is the date on which the maximum capacity was applied. When the maximum accommodation number is not determined by the delivery destination, the maximum accommodation number of “99999” is used.

The maximum accommodation number identification processing unit 32 searches the maximum accommodation number information storage unit 78 using the component ID of the similar part identified by the component identification processing unit 22 and the delivery destination identified by the examination result identification processing unit 26 as a key, Identify maximum capacity and date.
For example, in this embodiment, the component identification processing unit 22 identifies the component ID “11111-00000” and the examination result identification processing unit 26 identifies the delivery destination “F4” (see FIG. 9). In this case, the maximum accommodation numbers “30” and “2001/10/1” are specified (see FIG. 18).
The maximum accommodation number identification processing unit 32 searches the maximum accommodation number information storage unit 78 using the component ID identified by the reference component identification processing unit 24 and the delivery destination identified by the examination result identification processing unit 26 as a key, Identify maximum capacity and date.
For example, in this embodiment, the component ID “11111-00003” is specified by the reference component specifying processing unit 24, and the delivery destination “F5” is specified by the examination result specifying processing unit 26 (see FIG. 9). In this case, the maximum accommodation numbers “70” and “2002/5/1” are specified (see FIG. 18).
Further, in the present embodiment, the component ID “11111-00005” is specified by the reference component specifying processing unit 24 and the delivery destination is specified by the examination result specifying processing unit 26. The maximum accommodation number identification processing unit 32 identifies the maximum accommodation number and date from these pieces of information in the same manner as described above.

The work information specification processing unit 34 illustrated in FIG. 2 executes the work information specification processing using the information specified by the examination result specification processing unit 26 and the storage content of the work information storage unit 80.
FIG. 19 shows an example of the contents stored in the work information storage unit 80. The work information storage unit 80 stores a part ID, a delivery destination, a part orientation, necessity of partitioning, and a date. The work information storage unit 80 stores the orientation and necessity of partitioning when the orientation of the parts accommodated in the container and the necessity of partitioning are determined by the delivery destination. The date is the application date of the orientation of parts and necessity of partitioning.
For example, the component orientation “0-0-0” is associated with the delivery destination F4 of the component ID “11111-00000”. This means that the component orientation “0-0-0” is determined by the delivery destination F4. The component orientation “0-0-0” means “X axis rotation angle−Y axis rotation angle−Z axis rotation angle”. The X-axis rotation angle means how much the component is accommodated in the container after being rotated around the X-axis from the reference state. Similarly, the Y-axis rotation angle (or Z-axis rotation angle) means how much the component is accommodated in the container in a state of being rotated around the Y axis (or around the Z axis) from the reference state. The reference state is the posture of the component when assembled to the vehicle. For example, the component orientation “0-0-0” means that the delivery destination desires that the component is accommodated in the reference state. In addition, for the component orientation “90-270- *”, the customer wishes that the parts are accommodated in a state of being rotated 90 degrees around the X axis and 270 degrees around the Y axis from the reference state. Means that “*” Means that the delivery destination does not specify an angle.
“YES” of the partition means that the delivery destination determines that the partition is necessary. For example, the partition “YES” is associated with the delivery destination F4 of the component ID “11111-00000”. This means that the delivery destination F4 desires that a partition is provided in the container of the component with the component ID “11111-00000”. “NO” for the partition means that the delivery destination desires not to partition. “YES / NO” of the partition means that the necessity of the partition is not determined by the delivery destination.

The work information specification processing unit 34 searches the work information storage unit 80 using the part ID of the similar part specified by the part specification processing unit 22 and the delivery destination specified by the examination result specification processing unit 26 as a key. Specify the necessity and date of the partition.
For example, in this embodiment, the component identification processing unit 22 identifies the component ID “11111-00000” and the examination result identification processing unit 26 identifies the delivery destination “F4” (see FIG. 9). In this case, the component orientation “0-0-0”, the partitions “YES” and “2001/10/1” are specified (see FIG. 19).
In addition, the work information identification processing unit 34 searches the work information storage unit 80 using the component ID identified by the reference component identification processing unit 24 and the delivery destination identified by the examination result identification processing unit 26 as a key. Specify the necessity and date of the partition.
For example, in this embodiment, the component ID “11111-00003” is specified by the reference component specifying processing unit 24, and the delivery destination “F5” is specified by the examination result specifying processing unit 26 (see FIG. 9). In this case, the component orientation “90-270- *” and the partitions “YES / NO” and “2001/10/1” are specified (see FIG. 19).
Further, in the present embodiment, the component ID “11111-00005” is specified by the reference component specifying processing unit 24 and the delivery destination is specified by the examination result specifying processing unit 26. The work information identification processing unit 34 identifies the component orientation, necessity of partitioning, and date from the above information in the same manner as described above.

The line-side information specifying processing unit 36 in FIG. 2 executes the line-side information specifying process using the information specified by the examination result specifying processing unit 26 and the stored contents of the line-side information storage unit 82.
FIG. 20 shows an example of the stored contents of the line side information storage unit 82. The line-side information storage unit 82 stores a part ID, a delivery destination, a line ID, and a shelf size of the line as a set.
The line ID is an ID for specifying a production line at a delivery destination. For example, the part with the part ID “11111-00000” is used on the line T1 at the delivery destination F4, and is used on the line T4 at the delivery destination F5.
The shelf size is defined by a vertical size, a horizontal size, and a height size. The shelf size is the size of the shelf provided in the line. Containers larger than the shelf size cannot be placed on the shelf. If there is no shelf size constraint, the shelf size is not stored. In the example of FIG. 20, the shelf size is not stored in the delivery destinations F4 and F5 of the component ID “11111-00003”.

The line side information specification processing unit 36 searches the line side information storage unit 82 using the part ID of the similar part specified by the part specification processing unit 22 and the delivery destination specified by the examination result specification processing unit 26 as a key. Specify ID and shelf size.
For example, in the present embodiment, the component ID “11111-00000” is identified by the component identification processing unit 22, and the delivery destination F4 is identified by the examination result identification processing unit 26 (see FIG. 9). In this case, the line ID “T1”, the vertical size “1000 (mm)”, the horizontal size “350 (mm)”, and the height size “600 (mm)” are specified (see FIG. 20).
Further, the line side information identification processing unit 36 searches the line side information storage unit 82 using the component ID identified by the reference component identification processing unit 24 and the delivery destination identified by the examination result identification processing unit 26 as a key. Specify ID and shelf size.
For example, in this embodiment, the component ID “11111-00003” is specified by the reference component specifying processing unit 24, and the delivery destination F5 is specified by the examination result specifying processing unit 26 (see FIG. 9). In this case, the line ID “W6” is specified, and it is specified that there is no shelf size restriction.
Further, in the present embodiment, the component ID “11111-00005” is specified by the reference component specifying processing unit 24 and the delivery destination is specified by the examination result specifying processing unit 26. The line side information specifying processing unit 36 specifies the line ID and the shelf size from these pieces of information in the same manner as described above.

The output device 40 illustrated in FIG. 2 displays information input to the input device 20 and information specified by the processing units 22 to 36 described above. The output device 40 can process and display each piece of information. The information processing process does not necessarily have to be performed by the output device 40, and may be performed by another processing unit (such as the processing units 22 to 36).
FIG. 21 shows an example of content displayed by the output device 40. The contents of FIG. 21 are displayed on the same screen. The user (decision person) can see the contents of FIG. 21 without switching the screen. Below, the item displayed by the output device 40 is demonstrated in order.

The output device 40 displays the part ID and the product name of the new part. In the case of the present embodiment, the part ID of the new part is “11111-10001”, and the product name is “shift knob”. The output device 40 refers to the information (see FIG. 3) input to the input device 20 and displays the component ID and the product name of the new component.
The output device 40 displays the component ID of the similar component. The component ID of the similar component is the component ID identified by the component identification processing unit 22. In this embodiment, the component ID is “11111-00000”.
The output device 40 displays the similarity level between the new part and the similar part. The similarity level is the number of times “Yes” is determined in S2 to S14 in the component identification process of FIG. For example, if “Yes” is determined in S2, “Yes” is determined in S4, and “Yes” is determined in S8, the similarity level is “3”. When a similar part is specified by the product name search in S30 of FIG. 7, the similarity level is “1”. The component identification processing unit 22 counts and stores the number of times determined to be “present” in S2 to S14 of the component identification processing (or stores that similar components have been identified by the item name search). The output device 40 refers to the count value stored by the component identification processing unit 22 and displays the similarity level.

The output device 40 displays the difference between the size of the new part and the size of the similar part. The output device 40 can specify the size of the new part from the information input by the input device 20 (see FIG. 3). The size of the similar part is stored in the part information storage unit 56 (see FIG. 6). The output device 40 calculates and displays the differences between the vertical size, the horizontal size, and the height size. In this embodiment, the vertical size difference is “−5”, the horizontal size difference is “−5”, and the height size difference is “−10”.
The output device 40 displays the difference between the weight of the new part and the weight of the similar part. The output device 40 can specify the weight of the new part from the information input by the input device 20 (see FIG. 3). The weight of the similar part is stored in the part information storage unit 56 (see FIG. 6). The output device 40 calculates and displays the difference in weight. In this embodiment, the difference in weight is “−5”.

The output device 40 displays a supplier and a delivery destination of similar parts. The supplier and the delivery destination of the similar parts are stored in the candidate information storage unit 60 (see FIG. 9) and specified by the examination result specifying processing unit 26. In this embodiment, the supplier is “F2” and the delivery destination is “F4”.
The output device 40 displays information on a plurality of packing patterns that have been candidates for similar parts in the past. That is, the proposal ID, the box ID, the auxiliary material ID, the number of accommodations and the date are displayed. These pieces of information are stored in the candidate information storage unit 60 (see FIG. 9) and specified by the examination result specifying processing unit 26. In the present embodiment, three proposal IDs are displayed because three packing patterns are candidates for the similar part “11111-00000”. Each proposal ID is associated with a box ID, a sub-material ID, an accommodation number, and a date (proposed date). The output device 40 calculates the total number of accommodations for each proposal ID. For example, for the proposal ID “00001”, 24 is calculated by multiplying 4 and 6 by 1. The output device 40 also displays the total number of accommodation.

The output device 40 displays the initial cost, the maintenance cost, and the cost required for five years for each proposal ID (that is, each packing pattern).
The initial cost is the sum of the current initial cost of the container and the current initial cost of the secondary material. In this embodiment, any date after 2005 is the current date. The current initial cost of the container and the current initial cost of the auxiliary material are specified by the examination result specifying processing unit 26. The output device 40 calculates the overall initial cost by adding the current initial cost of the container and the current initial cost of the secondary material.
For example, in the packing pattern of proposal ID “00001”, the initial cost of box ID “T0001” is 500 (yen) (see FIG. 11), and no secondary material is used. In this case, the overall initial cost is calculated as 500 (yen).
Further, for example, in the packing pattern of the proposal ID “00003”, the initial cost of the box ID “T0001” is 500 (yen) (see FIG. 11), and the initial cost of the secondary material ID “D0001” is 55 (yen). Yes (see FIG. 13). As shown in FIG. 13, the initial cost of the secondary material ID “D0001” varies. In this case, the current cost is adopted instead of the cost applied to the date when the packing pattern is proposed. In this example, the packaging pattern was proposed on May 5, 2002, and the initial cost applied on that day is 50 (yen). However, the initial cost at present (2005) is 55 yen, which is adopted. The overall initial cost of the proposal ID “00003” is calculated as 555 (yen).

The maintenance cost is the sum of the current maintenance cost of the container and the current maintenance cost of the secondary material. The current maintenance cost of the container and the current maintenance cost of the auxiliary material are specified by the examination result specifying processing unit 26. The output device 40 calculates the overall maintenance cost by adding the current maintenance cost of the container and the current maintenance cost of the secondary material.
For example, the packing pattern of the proposal ID “00001” has a maintenance cost of 50 (yen) for the box ID “T0001” (see FIG. 11), and does not use secondary materials. In this case, the total maintenance cost is calculated as 50 (yen).
Further, for example, in the packing pattern of the proposal ID “00002”, the maintenance cost of the box ID “T0002” is 45 (yen) (see FIG. 11), and the maintenance cost of the secondary material ID “D0010” is 45 (yen). Yes (see FIG. 13). In this case, the total maintenance cost is calculated as 90 (yen).

The cost required for five years is calculated by adding the initial cost value and the value obtained by multiplying the maintenance cost by five. The output device 40 calculates a cost required for five years.
For example, the proposal ID “00001” has an initial cost of 500 (yen) and a maintenance cost of 50 (yen). In this case, the cost required for 5 years is calculated as 750 (yen).

The output device 40 displays an index for each proposal ID (individual packing pattern). In this embodiment, two types of indices are employed. One index is the volume per part (m3 / part). The volume per part is calculated by dividing the volume of the container by the number of containers. The volume of the container can be calculated from the external size stored in the box information storage unit 62 (see FIG. 10). The external size is specified by the examination result specifying processing unit 26. For example, the proposal ID “00001” has a box ID “T0001” and an accommodation number “24”. In this case, the output device 40 calculates the volume (cubic meter) from the external size (300 × 350 × 200 (see FIG. 10)) of the box ID “T0001”, and divides the volume by 24. As a result, a volume “0.009” per part is obtained. The output device 40 calculates and displays the volume per part for each package pattern.
The other index is the cost per part (cost / part). The cost per part is calculated by dividing the above-mentioned “cost required for five years” by the number of accommodation. For example, for the proposal ID “00001”, the cost required for five years is “750 (yen)” and the accommodation number is “24”. In this case, the output device 40 divides 750 by 24. Thereby, the cost “31.25” per part is obtained. The output device 40 calculates and displays the cost per part for each package pattern.

  The output device 40 displays the adoption result and the reason for adoption (reason for non-adoption) for each proposal ID (individual packing pattern). The adoption result and the reason for adoption (see FIG. 14) are specified by the examination result specifying processing unit 26. In the present embodiment, the proposal ID “00003” is adopted for the similar part “11111-00000” (see FIG. 14). For this reason, the employment result is displayed in a format that can be understood. That is, “YES” is displayed for the proposal ID “00003”, and “NO” is displayed for the proposal IDs “00001” and “00002”. Also, the reason “quality” that the proposal ID “00001” is not adopted and the reason “maximum accommodation number” that the proposal ID “00001” is not adopted are displayed.

  The output device 40 displays the transportation means at the time of planning the packing pattern for similar parts (in the example of FIG. 21, May 5, 2002). The transportation means is specified by the transportation condition specification processing unit 28. In the example of FIG. 21, a trailer is used as means for transporting similar parts from the supplier F2 to the delivery destination F4, and it is displayed that a train and a ship are not used.

The output device 40 displays the presence / absence (“YES” or “NO”) of the surplus number for each proposal ID. The presence / absence of the surplus number is “YES” when the surplus number calculated by the surplus box number calculation processing unit 30 is positive, and is “NO” when the surplus number is negative. In the example of FIG. 21, the surplus number is “YES” for all proposal IDs.
Note that the actual surplus number may be displayed as it is instead of the presence or absence of the surplus number. In this case, “300” is displayed as the surplus number of the proposal ID “00001” (refer to FIG. 16 and FIG. 17 for the surplus number calculation process for the numbers).

The output device 40 displays the presence / absence (“YES” or “NO”) of the maximum accommodation number for each proposal ID at the time of planning (May 5, 2002 in the example of FIG. 21). The presence / absence of the maximum accommodation number becomes “YES” when the maximum accommodation number specified by the maximum accommodation number specifying processing unit 32 is other than “99999”, and becomes “NO” when it is “99999”.
Note that the actual maximum accommodation number may be displayed as it is instead of the presence or absence of the restriction on the maximum accommodation number. In this case, “30” is displayed as the maximum accommodation number of the proposal ID “00001” (see the above-described maximum accommodation number specifying process and FIG. 18 for numbers).

The output device 40 displays, for each proposal ID, whether or not there is a restriction (“YES” or “NO”) for parts orientation at the time of planning (May 5, 2002 in the example of FIG. 21). The presence / absence of restriction on the component orientation is “YES” when the component orientation identified by the work information identification processing unit 34 is other than “*-*-*”, and “ NO ”.
Note that the actual component orientation may be displayed as it is, instead of the presence or absence of the component orientation restriction. In this case, “0-0-0” is displayed as the component direction of the proposal ID “00001” (refer to the above work information specifying process and FIG. 19 for numbers).

The output device 40 displays the presence or absence (“YES” or “NO”) on the line side of each proposal ID at the time of planning (May 5, 2002 in the example of FIG. 21). The presence / absence of restriction on the line side is “YES” when the shelf size specified by the line-side information identification processing unit 36 is restricted, and “NO” when there is no restriction on the shelf size.
Note that the actual shelf size may be displayed as it is, instead of the presence or absence of the shelf size restriction. In this case, the vertical size “1000”, the horizontal size “350”, and the height size “600” are displayed as the shelf size of the proposal ID “00001” (see the above-mentioned line side information specifying process and FIG. 20 for numbers). ).

  The output device 40 displays the same contents as those in FIG. 21 for the components specified by the reference component specifying processing unit 24 (not shown). In the case of this embodiment, the component IDs “11111-00003” and “11111-00005” are displayed by the reference component identification processing unit 24. About each of these, the same content as FIG. 21 is displayed.

Note that the content illustrated in FIG. 21 is merely an example, and the following information may be further displayed.
(1) The size, weight, supplier, delivery destination, etc. of the new part (see FIG. 3) may be displayed.
(2) The product name, size, weight, material, presence / absence of dangerous materials, etc. of similar parts (see FIG. 6) may be displayed.
(3) The container type, external size, internal size, weight, nesting, folding height, material, R / E, etc. (see FIG. 10) may be displayed.
(4) The type, size, weight, material, R / E, etc. of the auxiliary material (see FIG. 12) may be displayed.
(5) The transportation conditions for new parts (see FIG. 15) may be displayed.
(6) The necessity (see FIG. 19) of partitioning at the time of suggesting the packing pattern for similar parts may be displayed.
(7) With respect to individual proposal IDs of similar parts, whether or not the current maximum number of accommodations is limited (see FIG. 19) and whether or not the current partition is necessary (see FIG. 19) may be displayed.
(8) For a new part, whether or not there is a limit on the maximum number of accommodation (see FIG. 19) and whether or not a current partition is necessary (see FIG. 19) may be displayed.
(9) A line ID (see FIG. 20) using similar parts may be displayed.
(10) With respect to individual proposal IDs of similar parts, the presence or absence of the current shelf size restriction (see FIG. 20) may be displayed.
(11) For a new part, the presence or absence of a shelf size restriction (see FIG. 20) may be displayed.

The computer 10 according to the present embodiment has been described in detail above. The user can obtain various information from the contents (FIG. 21) displayed by the output device 40.
For example, the user uses a packing pattern used for a part similar to the new part (in the example of FIG. 21, the box ID “T0001”, the sub-material ID “D0001”, and the accommodation number “24” of the proposal ID “00003”). Can know. Based on this information, it is possible to devise candidate packaging patterns for new parts. Compared to the method of planning candidate packaging patterns from a state without any clues, candidate packaging patterns can be narrowed down. In addition, the user can also obtain the packing pattern (proposed ID “00001” and “00002” in the example of FIG. 21) that has not been adopted in the past for similar parts. Since the packing pattern that has been rejected in the past can be excluded from the subject of examination, candidate packing patterns can be further narrowed down.
The user can know the reason for non-use of the packing pattern that has not been adopted for similar parts (“quality” and “maximum capacity” in the example of FIG. 21). The user can examine the validity of the reason for non-adoption. If the reason for non-acceptance is not valid, even a package pattern that has been rejected can be included in the consideration. According to the present embodiment, it is possible to prevent the removal of a package pattern that should not be excluded from the examination target when planning a package pattern of a new part.

The user can know the volume efficiency (“0.009”, “0.008”, and “0.009” in the example of FIG. 21) of each packing form pattern that is a candidate for similar parts. The user can plan a new part packing pattern candidate while referring to this information. It can be expected that candidates for packing patterns with excellent volumetric efficiency can be planned.
The user can know the current cost efficiency (“31.25”, “19.35”, and “45.00” in the example of FIG. 21) of each packing pattern that is a candidate for similar parts. The user can plan a new part packing pattern candidate while referring to this information. It can be expected that candidates for packaging patterns that are cost-effective can be planned.
Even if the packaging pattern designed for similar parts is not adopted due to cost reasons, the current cost efficiency of the packaging pattern may not be bad. Since the present cost efficiency is displayed in the present embodiment, the validity of the reason for non-employment regarding the cost can be accurately determined.

The user can know the transportation means when the packaging pattern is designed for similar parts. Depending on the mode of transport (trailer, train, ship), the size and weight restrictions of the container may change. Therefore, the packing pattern may not be adopted due to the transportation means. In this embodiment, since the transportation means for similar parts is displayed, it is possible to know whether or not the packaging pattern of the similar parts has been rejected due to the transportation means.
The user can know the surplus number when the packaging pattern is designed for similar parts. When determining the packaging pattern of a part in the past, there is a possibility that a packaging pattern with a large surplus is adopted. In the present embodiment, since it is possible to know the surplus number of each package form pattern of similar parts, it is possible to know whether or not a package form pattern with a large surplus number has been adopted.
The user can know the presence / absence of restrictions (maximum accommodation capacity, component orientation, shelf size) when designing a packaging pattern for similar components. By referring to these pieces of information, the user can know whether or not the packaging pattern of similar parts has been rejected due to the presence or absence of these restrictions.
According to the computer 10 of the present embodiment, the process of determining the package pattern of the new part by the determiner is strongly supported, and the package pattern of the new part can be efficiently determined. It can be expected that the time required for deciding the packing pattern can be shortened.

Specific examples of the present invention have been described in detail above, but these are merely examples and do not limit the scope of the claims. The technology described in the claims includes various modifications and changes of the specific examples illustrated above.
The technical elements described in this specification or the drawings exhibit technical usefulness alone or in various combinations, and are not limited to the combinations described in the claims at the time of filing. In addition, the technology illustrated in the present specification or the drawings achieves a plurality of objects at the same time, and has technical utility by achieving one of the objects.

1 shows a schematic diagram of a production system in which a computer according to an embodiment is used. The block diagram of the function which a computer implement | achieves is shown. An example of the information input into an input device is shown. An example of the storage content of a similar word information storage part is shown. An example of the content stored in the priority order storage unit is shown. An example of the storage content of a component information storage part is shown. The flowchart of a component specific process is shown. An example of the memory | storage content of a reference information memory | storage part is shown. An example of the storage content of a candidate information storage part is shown. An example of the storage content of a box information storage part is shown. An example of the storage content of a box cost information storage part is shown. An example of the storage content of a submaterial information storage part is shown. An example of the storage content of a submaterial cost information storage part is shown. An example of the storage content of the employment information storage unit is shown. An example of the storage content of the transport information storage unit is shown. An example of the storage content of a box possession information storage part is shown. An example of the storage content of a required box number information storage part is shown. An example of the storage content of the maximum accommodation number information storage part is shown. An example of the storage content of a work information storage part is shown. An example of the storage content of a line side information storage part is shown. An example of the content displayed by the output device is shown.

Explanation of symbols

10: Computer 20: Input device 22: Component identification processing unit 24: Reference component identification processing unit 26: Examination result identification processing unit 28: Transportation condition identification processing unit 30: Surplus box number calculation processing unit 32: Maximum accommodation number identification processing unit 34: Work information identification processing unit 36: Line side information identification processing unit 40: Output device 50: Similar word information storage unit 52: Priority information storage unit 54: Database 56: Parts information storage unit 58: Reference information storage unit 60: Candidate information storage unit 62: box information storage unit 64: box cost information storage unit 66: secondary material information storage unit 68: secondary material cost information storage unit 70: employment information storage unit 72: transport information storage unit 74: box possession information storage Unit 76: Necessary box number information storage unit 78: Maximum accommodation number information storage unit 80: Work information storage unit 82: Line side information storage unit

Claims (8)

A device that supports the process of determining the packaging pattern of an article,
For each of a plurality of types of goods for which a packaging pattern has been determined in the past, the article identification information for the article, candidate information for a plurality of packaging patterns that have been candidates for the article in the past, and which packaging for the article and adopting a pattern information regarding the pattern is adopted, the a last information database in association with stored, the article specifying information, an article size, and information of a plurality of items for identifying an article, the Including the past information database ;
An input device for inputting the item specifying information of the target item for which the packing pattern is to be determined;
Based on each article identification information stored article identification information for the target object inputted to the input device and to the past information database, the specifying device for specifying a similar type of article that is similar to the target object,
An output device that outputs “candidate information and adoption pattern information” of an article specified by the specific device ,
The specific device is:
Identifying one or more past articles having information that matches information of at least one of the plurality of items included in the article identification information of the target article from the plurality of types of articles;
One past article having an article size closest to the article size included in the article specifying information of the target article is specified as the similar type article from the one or more past articles.
Packing pattern determination process support device. Loading the past information database, which for each of the plurality of types of goods packing pattern is determined in the past, and the article identification information, and the candidate information, and the adoption pattern information became unemployed about the article and why information about the non-adopted for reasons of appearance pattern, stores in association with,
The output device packing pattern decision processes supporting apparatus according to claim 1, characterized in that outputs "candidate information and adoption pattern information and reason information" of the article identified by the identifying device. Each of the plurality of packing patterns included in the candidate information of each article includes container information regarding the article container and article number information regarding the number of articles accommodated in the article container. The package pattern determination process support device according to claim 1 or 2. The container information includes a body information on the container body, the container and the auxiliary materials information relating to auxiliary materials utilized in the body, the include and wherein the are at packing pattern decision processes support according to claim 3 apparatus. The output device, for each of a plurality of packing patterns included in the candidate information for that article by the specifying device, to output a cost-effective information about the current cost per article the article container The package pattern determination process support device according to claim 3 or 4, characterized in that it is characterized in that: The output device, for each of a plurality of packing patterns included in the candidate information for that article by the specifying device, and characterized by outputting the volumetric efficiency information regarding the volume per article the article container The packing pattern determination process support device according to any one of claims 3 to 5. A method of supporting by computer the process of determining the packaging pattern of an article,
The computer, for each of a plurality of types of articles whose packing pattern has been determined in the past, item specifying information of the article, candidate information regarding a plurality of packing patterns that have been candidates for the article, and the article And a past information database that stores information relating to which packing pattern has been adopted, and the article specifying information includes an article size and a plurality of items for specifying the article. And having the past information database including information ,
The computer has the following steps:
An input step for inputting the item specifying information of the target item for which the packing pattern should be determined;
Based on the respective item identification information item specific information of the target object inputted by the input step and stored in said historical information database, a similar type of article that is similar to the target object to be determined Packing pattern A specific process to identify;
Execute the output process to output “candidate information and adoption pattern information” for the article identified in the specific process ,
The specific process includes
Identifying one or more past articles having information that matches information of at least one of the plurality of items included in the article identification information of the target article from among the plurality of types of articles;
Identifying, from among the one or more past articles, one past article having an article size closest to the article size included in the article specifying information of the target article as the similar type article. , Packing pattern determination process support method. A computer program for supporting the process of determining the packaging pattern of an article,
In the computer, the following steps:
For each of a plurality of types of goods for which a packaging pattern has been determined in the past, the article identification information for the article, candidate information for a plurality of packaging patterns that have been candidates for the article in the past, and which packaging for the article a database constructing step of constructing the past information database by association with each and employed the pattern information regarding the pattern has been adopted, wherein the article identification information includes a plurality of for identifying the article size, the article The database construction step, including item information ;
An input step for inputting the item specifying information of the target item for which the packing pattern should be determined;
Based on the respective item identification information item specific information of the target object inputted by the input step and stored in said historical information database, a similar type of article that is similar to the target object to be determined Packing pattern A specific process to identify;
Execute the output process to output “candidate information and adoption pattern information” for the article identified in the specific process ,
The specific process includes
Identifying one or more past articles having information that matches information of at least one of the plurality of items included in the article identification information of the target article from among the plurality of types of articles;
Identifying, from among the one or more past articles, one past article having an article size closest to the article size included in the article specifying information of the target article as the similar type article. , Computer program.

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