CN117557336A - Selection method, device, equipment and storage medium of medicine packaging box - Google Patents

Selection method, device, equipment and storage medium of medicine packaging box Download PDF

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Publication number
CN117557336A
CN117557336A CN202311519578.3A CN202311519578A CN117557336A CN 117557336 A CN117557336 A CN 117557336A CN 202311519578 A CN202311519578 A CN 202311519578A CN 117557336 A CN117557336 A CN 117557336A
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order data
medicines
order
target
volume
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CN117557336B (en
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谢方敏
周峰
郭陟
马荣茂
刘顺依
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Guangzhou Fangzhou Information Technology Co ltd
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Guangzhou Fangzhou Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0621—Item configuration or customization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Tourism & Hospitality (AREA)
  • Auxiliary Devices For And Details Of Packaging Control (AREA)

Abstract

The invention discloses a method, a device, equipment and a storage medium for selecting a medicine packing box, wherein the method comprises the following steps: receiving target order data, wherein medicines in the target order data wait to be filled into a packaging box in a sorting link; dividing order types for the target order data in the dimension of the number of the medicine classes; inquiring reference order data of the completed transaction according to the order type, wherein the class of the medicines in the reference order data is the same as or similar to the class of the medicines in the target order data; counting the use information of various packaging boxes according to the reference order data; and selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box. According to the embodiment, the characteristics of the packaging boxes are used at the reference order data statistics positions of different order types, the packaging boxes are recommended for the target order data in sequence, the accuracy of the packaging boxes can be guaranteed, the target order data of different packaging boxes are distinguished in order picking, and the rechecking and packaging efficiency can be improved.

Description

Selection method, device, equipment and storage medium of medicine packaging box
Technical Field
The present invention relates to the field of storage technologies, and in particular, to a method, an apparatus, a device, and a storage medium for selecting a medicine package.
Background
Along with development of science and technology, many electronic commerce platforms provide services for users to order medicines online, after the users order medicines on the electronic commerce platforms, the users use packaging boxes with the same specification on automatic packaging lines of storage of the electronic commerce platforms, the medicines and the quantity required by different orders are different, and the orders of the different packaging boxes are distinguished in the order picking process according to screening of order picking waves, so that the efficiency of rechecking and packaging is low.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for selecting medicine packaging boxes, which are used for solving the problem of how to screen the packaging boxes suitable for medicines in different orders in advance so as to improve packaging efficiency.
According to an aspect of the present invention, there is provided a method of selecting a medicine packing box, comprising:
receiving target order data, wherein medicines in the target order data wait to be filled into a packaging box in a sorting link;
dividing the order type for the target order data in the dimension of the number of the medicine classes;
Inquiring reference order data of which the transaction is completed according to the order type, wherein the class of medicines in the reference order data is the same as or similar to the class of medicines in the target order data;
counting the use information of various packaging boxes according to the reference order data;
and selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box.
According to another aspect of the present invention, there is provided a selecting device of medicine packing boxes, comprising:
the target order data receiving module is used for receiving target order data, and medicines in the target order data wait to be filled into a packaging box in a sorting link;
the order type dividing module is used for dividing the order type for the target order data in the dimension of the number of the medicine classes;
the reference order data query module is used for querying the reference order data of which the transaction is completed according to the order type, wherein the class of the medicines in the reference order data is the same as or similar to the class of the medicines in the target order data;
the using information statistics module is used for counting using information of various packaging boxes according to the reference order data;
And the packing box recommending module is used for selecting a packing box capable of containing the medicines in the target order data according to the use information to be used as a recommending packing box.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of selecting pharmaceutical packaging boxes according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing a computer program for causing a processor to execute the method of selecting a pharmaceutical packaging box according to any one of the embodiments of the present invention.
In the embodiment, target order data is received, and medicines in the target order data wait to be filled into a packaging box in a sorting link; dividing order types for the target order data in the dimension of the number of the medicine classes; inquiring reference order data of the completed transaction according to the order type, wherein the class of the medicines in the reference order data is the same as or similar to the class of the medicines in the target order data; counting the use information of various packaging boxes according to the reference order data; and selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box. According to the embodiment, the characteristics of the packaging boxes are used at the reference order data statistics positions of different order types, the packaging boxes are recommended for the target order data in sequence, the accuracy of the packaging boxes can be guaranteed, the target order data of different packaging boxes are distinguished in order picking, and the rechecking and packaging efficiency can be improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for selecting a medicine packing box according to a first embodiment of the present invention;
fig. 2 is a flowchart of a method for selecting a medicine packing box according to a second embodiment of the present invention;
fig. 3 is a schematic structural view of a selecting device for medicine packing boxes according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for selecting a medicine package according to an embodiment of the present invention, where the method may be performed by a selecting device for a medicine package according to historical data of orders of different kinds, the selecting device for a medicine package may be implemented in a form of hardware and/or software, and the selecting device for a medicine package may be configured in an electronic device. As shown in fig. 1, the method includes:
Step 101, receiving target order data.
The user logs in the e-commerce platform for selling the medicines at the client, selects one or more medicines to place an order in the e-commerce platform and finishes payment, and at the moment, the system of the e-commerce platform generates corresponding target order data, wherein the target order data comprises order numbers, order placing time, the types of the medicines, the number of the single-type medicines, amount information (the amount of the single-type medicines, discount and total amount), recipients, telephone numbers, a receiving address and the like.
The system of the e-commerce platform pushes a plurality of orders comprising target order data to a warehouse, and instructs staff to perform wave order picking in the warehouse according to the plurality of orders, wherein the wave order picking combines different orders into one wave order according to a certain standard, and directs one-time picking, namely, the wave order picking is to sort the plurality of orders.
The wave order picking may include the following categories:
1. single batch
The order batch is based on the principle of first-come first-served processing, when the accumulated order quantity reaches the preset quantity index, the quantity index is comprehensively measured and calculated according to the quantity of medicines in each order, the coincidence degree of the medicines in the order, the quantity of the medicines in each order and the like, and the accumulated order is assembled into one wave in the bearing range of the sorting equipment.
2. Delivery route batch
Whether the vehicle itself delivers the drug or a third party logistics company is entrusted with delivering the drug, the delivery address of the drug is usually carried out according to a certain delivery route or region. Thus, the delivery route may be considered as a factor in the division of the wave number.
Since each delivery line has a contracted loading time, this batch mode also implies the requirement for the completion time of the wave times.
3. Time window batch
When the order completion time is more urgent, data can be intercepted once at intervals according to the order completion time requirement, and the orders accumulated in the time intervals are assembled into one wave.
4. Energy batch
The intelligent batch is to divide the order by taking a certain index as an optimized target after integrating the order.
Step 102, dividing the order type for the target order data in the dimension of the number of the medicine classes.
Before wave sorting, medicines in the target order data are waited to be filled into the packaging boxes in a sorting link, and at the moment, proper packaging boxes can be recommended for each order according to the information of the medicines in each order.
In practical application, the following information can be obtained by counting historical orders:
1. The number of single-product orders accounts for a relatively high proportion of the total orders, and the partial time can reach 60 percent.
2. The combination of common medicines matched and purchased is relatively fixed, especially during the period that the e-commerce platform holds an activity.
For example, multiple classes of drugs (including amounts) are sold in combination (e.g., a combination for treating influenza includes 1 case of antipyretic, 2 cases of antiviral, etc.), multiple drugs of one class are packaged for sale as a course of treatment, a-element B-element, full C-element minus D-element, etc.
3. The probability of purchasing the same medicine by the same user is high, and the repetition rate of combined medicine orders is also provided.
Therefore, the packaging box used by the historical orders can be recorded, the order medicine combination and a big data model of the packaging box are established, and most (more than 80%) of packaging boxes for orders can be matched rapidly through continuous calibration.
Because the packing boxes used for orders of different types have more general characteristics, in this embodiment, the order types can be divided for the target order data in the dimension of the number of drug types.
The order types include, for example, single-class orders, which refer to orders with a single-class drug, and multiple-class orders, which refer to orders with at least two-class drugs.
Step 103, inquiring the historical reference order data of the completed transaction according to the order type.
In this embodiment, the type of the order in the current target order data may be used as a reference, and the database of the e-commerce platform may be queried for the order in which the history has completed the transaction, so as to obtain the reference order data.
Wherein the class of the medicine in the reference order data is the same as or similar to the class of the medicine in the target order data, and therefore, the packaging box used for the reference order data can be used as the reference of the packaging box of the target order data.
In addition, the completed transaction may refer to the user having no erroneous records of the reference order data, such as a wrong drug, a missed drug, multiple drugs, etc., with a higher confidence that the reference order data is actually used in the package.
Further, although the user does not have error records of the reference order data such as the wrong-issue medicines, the missed-issue medicines, the multiple medicines and the like, the reference order data does not mean that the reference order data does not have errors such as the wrong-issue medicines, the missed-issue medicines, the multiple medicines and the like, and the user does not feed back the errors, and the reference order data still has a possibility of deviation in actual use of the packaging box.
In one case, if the order type is a single-class order, the database of the e-commerce platform may be queried for the similar order with the history completed with the transaction as the first historical order data.
The types of medicines in the first historical order data are the same as those of medicines in the target order data, so that the packaging boxes used in the first historical order data can be directly used as references of the packaging boxes used in the target order data.
If the first historical order data has been queried, the first historical order data is marked as reference order data.
If the first order data is not queried, querying a database of the e-commerce platform for the orders of similar categories, wherein the orders are in history and completed, and the orders are used as second historical order data.
The volume of the medicine in the second historical order data is within the error range of the volume of the medicine in the target order data, so that the packaging box used by the second historical order data can be indirectly used as the reference of the packaging box used by the target order data.
Further, the lower limit of the error range is the volume calculated after the length, width and height of the medicine in the target order data are respectively floated by a first proportion (for example, 10%), and the upper limit is the volume calculated after the length, width and height of the medicine in the target order data are respectively floated by a second proportion (for example, 10%).
If there are multiple drugs within the error range, the second historical order data may be found with the drug having the smallest difference between the volume and the volume of the drug in the target order data.
If the second historical order data has been queried, the second historical order data is marked as reference order data.
If the second historical order data is not queried, the recommended packing box can be emptied, and at the moment, the volume of the recommended packing box is 0.
In another case, if the order type is a multi-category order, the database of the e-commerce platform may be queried for the same order that has been completed in history as the third historical order data.
The third historical order data and the target order data have the same quantity of medicines in the medicine class and each class, for example, the target order data comprises 5 boxes of medicines in class X, 6 bottles of medicines in class Y and 7 bags of medicines in class Z, and the third historical order data also comprises 5 boxes of medicines in class X, 6 bottles of medicines in class Y and 7 bags of medicines in class Z, so that a packaging box used by the third historical order data can be directly used as a reference of a packaging box used by the target order data.
If the third historical order data has been queried, the third historical order data is marked as reference order data.
If the third historical order data is not queried, the up-compatible order with the completed history can be queried in the database of the e-commerce platform to be used as fourth historical order data.
The fourth historical order data is a proper subset of the target order data in terms of the number of medicines in the medicine class and/or each class, for example, the target order data comprises 5 boxes of medicines in class X, 6 bottles of medicines in class Y and 7 bags of medicines in class Z, and the fourth historical order data also comprises 6 boxes of medicines in class X, 8 bottles of medicines in class Y, 9 bags of medicines in class Z and 1 bag of medicines in class A, so that a packaging box used by the fourth historical order data can be indirectly used as a reference of a packaging box used by the target order data.
If fourth historical order data has been queried, the fourth historical order data is marked as reference order data.
If the fourth historical order data is not queried, the up-compatible order with the completed history can be queried in the database of the e-commerce platform to be used as the fourth historical order data.
And 104, counting the use information of various packaging boxes according to the reference order data.
In the e-commerce platform, various packaging boxes can be ordered in advance so as to meet the distribution requirements of different medicines.
In one example, the e-commerce platform uses the following package:
the number 4 boxes and the number 10 boxes are cartons with different sizes, and the foam boxes are used for packaging medicines requiring cold chain transportation, and the types of the foam boxes are less because the medicines requiring cold chain transportation are less, so that the foam boxes can be omitted.
For reference order data of different order types, features of various packaging boxes can be used as the use information for the reference order data from different dimensions.
In one case, if the order type is a single-item type order, the number of medicines of the same item type that have been contained in various packages used in the reference order data (e.g., first historical order data, second historical order data) may be counted.
For the same package, the maximum value of the number of medicines contained in the package is counted as the maximum packing number at the beginning.
And recording the maximum boxing data as the use information of the packaging box aiming at the same packaging box.
In another case, if the order type is a single item type order, the volumes of the various packages that have been used in the reference order data (e.g., third historical order data, fourth historical order data) may be counted.
At the beginning, the minimum value of the volumes of various packing boxes is counted and used as the minimum packing volume, and the minimum packing volume is recorded as the use information of the packing boxes.
Step 105, selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box.
In practical application, medicine packing has several characteristics: 1. the medicine is packed in boxes, packed in bags, bottled and the like, and the package size is not uniform; 2. the external packing requirements of medicines are different, some medicines require air column bags to be filled, some medicines require air bubble films to be wound in multiple layers, and some medicines cannot be extruded; 3. the medicine placement position is required, if any, the liquid medicine needs to be placed vertically, etc.
Based on the characteristics, the medicine cannot be directly calculated according to the volume by using a conventional three-dimensional packing algorithm when selecting a packing box.
Therefore, the reference order data of different order types can be subjected to statistical analysis on the use information of the use package boxes, so that the package boxes capable of containing medicines in the target order data are selected as recommended package boxes.
In one case, if the order type is a single item type order, the maximum number of boxes of various packages may be compared to the number of medicines in the target order.
If the maximum packing quantity of a certain packing box is greater than or equal to the quantity of the medicines in the target order and is closest to the quantity of the medicines in the target order, the packing box capable of containing the medicines in the target order data can be determined as the recommended packing box.
Then, it is recommended that the package be as small as possible based on accommodating the medicine in the target order data, in order to save costs.
In one case, if the order type is a multiple category order, the volume of the various packages may be compared to the minimum boxing volume.
If the volume of a certain packing box is larger than or equal to the minimum packing volume and is closest to the minimum packing volume, determining that the packing box can contain the medicine in the target order data, and taking the packing box as a recommended packing box.
Then, it is recommended that the package be as small as possible based on accommodating the medicine in the target order data, in order to save costs.
In the embodiment, target order data is received, and medicines in the target order data wait to be filled into a packaging box in a sorting link; dividing order types for the target order data in the dimension of the number of the medicine classes; inquiring reference order data of the completed transaction according to the order type, wherein the class of the medicines in the reference order data is the same as or similar to the class of the medicines in the target order data; counting the use information of various packaging boxes according to the reference order data; and selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box. According to the embodiment, the characteristics of the packaging boxes are used at the reference order data statistics positions of different order types, the packaging boxes are recommended for the target order data in sequence, the accuracy of the packaging boxes can be guaranteed, the target order data of different packaging boxes are distinguished in order picking, and the rechecking and packaging efficiency can be improved.
Example two
Fig. 2 is a flowchart of a selection method of a medicine packing case according to a second embodiment of the present invention, in which the operation of updating usage information is added on the basis of the foregoing embodiment. As shown in fig. 2, the method includes:
step 201, receiving target order data.
Wherein, medicines in the target order data wait to be filled into the packaging boxes in the sorting link.
Step 202, dividing order types for the target order data in the dimension of the number of medicine classes.
Step 203, inquiring the historical reference order data of the completed transaction according to the order type.
Wherein the class of the drug in the reference order data is the same or similar to the class of the drug in the target order data.
And 204, counting the use information of various packaging boxes according to the reference order data.
Step 205, selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box.
And 206, if the medicines in the target order data are packaged, inquiring a packaging box actually used by the target order data as an actual packaging box.
In practical application, staff can compare the medicines in the target order data with the recommended packing boxes, and select to use the recommended packing boxes or other kinds of packing boxes to pack the medicines in the target order data.
If the medicine in the target order data is packaged, during the check out, a staff can scan the bar code of the actually used packing box by using a code scanning gun, so that the information (such as the type ID) of the packing box is obtained, and the actually used packing box of the target order data is recorded as the actual packing box.
Step 207, comparing the volume of the actual package with the volume of the recommended package.
In this embodiment, the volume Vb of the actual package box and the volume Vr of the recommended package box may be queried separately, and the volume Vb of the actual package box and the volume Vr of the recommended package box may be compared, so as to determine the size relationship between the volume Vb of the actual package box and the volume Vr of the recommended package box.
If the volume Vb of the actual package is equal to the volume Vr of the recommended package (i.e., vb=vr), it means that the recommended package that can accommodate the medicine in the target order data is selected accurately according to the usage information, and the usage information is maintained unchanged.
And step 208, if the volume of the actual packaging box is larger than that of the recommended packaging box, adjusting the deviation of the use information downwards according to the order type.
If the volume Vb of the actual packaging box is larger than the volume Vr (namely, vb is larger than Vr) of the recommended packaging box, the recommended packaging box is indicated to be larger, at the moment, the corresponding use information can be downwards adjusted to be biased according to different order types, and the accuracy of the use information is improved, so that the accuracy of the recommended packaging box which can contain medicines in target order data is improved according to the use information.
In one case, if the order type is a single item type order, the usage information is a maximum bin count.
Then, if the order type is a single-item type order, the number of medicines accommodated when the same packing box is actually used is read from the target order data and the most recent (e.g., 9) first candidate order data as the actual number.
The first candidate order data is reference order data of lower adjustment deviation.
And filtering m (m is a positive integer, such as 1) with the largest value from all the actual numbers, and n (n is a positive integer, such as 1) with the smallest value from all the actual numbers, so that influence caused by accidents is reduced.
If filtering is completed, the average value of the remaining actual quantity is rounded downwards, and a new maximum packing quantity is obtained.
In another case, if the order type is a multi-category order, the usage information is a minimum bin volume.
Then, if the order type is a multi-category order, the volume of the packing box actually used is read from the target order data and the most recent (e.g. 9) second candidate order data as the actual volume.
The second candidate order data is reference order data of lower adjustment deviation.
And filtering m (m is a positive integer, such as 1) with the largest value and n (n is a positive integer, such as 1) with the smallest value from all the actual volumes, so as to reduce influence caused by accidents.
If filtering is completed, the average value of the remaining actual volume is rounded down to obtain a new minimum boxing volume.
And 209, if the volume of the actual packaging box is smaller than that of the recommended packaging box, adjusting the deviation of the use information upwards according to the order type.
If the volume Vb of the actual packaging box is smaller than the volume Vr (namely, vb is smaller than Vr) of the recommended packaging box, the recommended packaging box is indicated to be smaller, at the moment, the deviation can be upwards adjusted to corresponding use information according to different order types, and the accuracy of the use information is improved, so that the accuracy of the recommended packaging box which can contain medicines in target order data is improved according to the use information.
In one case, if the order type is a single item type order, the usage information is a maximum bin count.
Then, if the order type is a single-item type order, the number of medicines accommodated when the same packing box is actually used is read from the target order data and the most recent (e.g., 9) third candidate order data as the actual number.
The third candidate order data is reference order data of lower adjustment deviation.
And filtering m (m is a positive integer, such as 1) with the largest value from all the actual numbers, and n (n is a positive integer, such as 1) with the smallest value from all the actual numbers, so that influence caused by accidents is reduced.
If filtering is completed, the average value of the remaining actual quantity is rounded up to obtain a new maximum packing quantity.
In another case, if the order type is a multi-category order, the usage information is a minimum bin volume.
Then, if the order type is a multi-category order, the volume of the packing box actually used is read from the target order data and the most recent (e.g. 9) fourth candidate order data as the actual volume.
The fourth candidate order data is reference order data with the deviation adjusted upwards.
And filtering m (m is a positive integer, such as 1) with the largest value and n (n is a positive integer, such as 1) with the smallest value from all the actual volumes, so as to reduce influence caused by accidents.
If filtering is completed, the average value of the remaining actual volume is rounded up to obtain a new minimum boxing volume.
Example III
Fig. 3 is a schematic structural diagram of a selecting device for a medicine packing case according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the target order data receiving module 301 is configured to receive target order data, where medicines in the target order data wait to be packaged into a packaging box in a sorting link;
an order type dividing module 302, configured to divide order types for the target order data in a dimension of the number of pharmaceutical products;
a reference order data query module 303, configured to query, according to the order type, reference order data for which the transaction has been completed, where the class of the medicine in the reference order data is the same as or similar to the class of the medicine in the target order data;
the usage information statistics module 304 is configured to count usage information of various packaging boxes according to the reference order data;
and the package recommendation module 305 is configured to select, according to the usage information, a package that can accommodate the medicine in the target order data as a recommended package.
In one embodiment of the present invention, the reference order data query module 303 includes:
the first historical order data query module is used for querying first historical order data of which the history is completed for trade if the order type is a single-item order, and the item type of medicines in the first historical order data is the same as the item type of medicines in the target order data;
The first historical order data marking module is used for marking the first historical order data as reference order data if the first historical order data is queried;
the second historical order data query module is used for querying second historical order data of which the history is completed in transaction if the first historical order data is not queried, wherein the volume of medicines in the second historical order data is within an error range of the volume of medicines in the target order data;
the second historical order data marking module is used for marking the second historical order data as reference order data if the second historical order data is queried;
the lower limit of the error range is the volume calculated after the length, width and height of the medicine in the target order data float downwards in a first proportion respectively, and the upper limit is the volume calculated after the length, width and height of the medicine in the target order data float upwards in a second proportion respectively.
In one embodiment of the present invention, the usage information statistics module 304 includes:
the accommodation quantity counting module is used for counting the quantity of various kinds of medicines accommodated in the packaging boxes used in the reference order data;
The maximum boxing quantity counting module is used for counting the maximum value of the quantity of medicines contained in the packaging boxes aiming at the same packaging box as the maximum boxing quantity;
the maximum boxing quantity recording module is used for recording the maximum boxing data as the use information of the packaging boxes aiming at the same packaging box;
the package recommendation module 305 includes:
the quantity comparison module is used for comparing the maximum packing quantity of various packing boxes with the quantity of medicines in the target order;
and the quantity determining module is used for determining that the packaging boxes can contain the medicines in the target order data as recommended packaging boxes if the maximum boxing quantity of a certain packaging box is larger than or equal to the quantity of the medicines in the target order and is closest to the quantity of the medicines in the target order.
In another embodiment of the present invention, the reference order data query module 303 includes:
the third historical order data query module is used for querying third historical order data with completed histories if the order type is a multi-class order, wherein the number of medicines in the medicine class and the number of medicines in each class are the same as the number of medicines in the target order data;
A third historical order data marking module, configured to mark the third historical order data as reference order data if the third historical order data has been queried;
a fourth historical order data query module, configured to query fourth historical order data that has been completed in history if the third historical order data is not queried, where the fourth historical order data is a proper subset of the target order data in terms of medicine class and/or number of medicines in each class;
and the fourth historical order data marking module is used for marking the fourth historical order data as reference order data if the fourth historical order data is queried.
In another embodiment of the present invention, the usage information statistics module 304 includes:
the volume statistics module is used for counting the volumes of various packaging boxes used in the reference order data;
the minimum boxing volume statistics module is used for counting the minimum value of the volumes of various packaging boxes and taking the minimum value as the minimum boxing volume;
the minimum boxing volume recording module is used for recording that the minimum boxing volume is the use information of the packaging box;
the package recommendation module 305 includes:
The boxing volume comparison module is used for comparing the volumes of various packaging boxes with the minimum boxing volume;
and the volume determining module is used for determining that the packaging box can contain the packaging box of the medicines in the target order data as a recommended packaging box if the volume of a certain packaging box is larger than or equal to the minimum boxing volume and is closest to the minimum boxing volume.
In one embodiment of the present invention, further comprising:
the actual packaging box inquiring module is used for inquiring the packaging box actually used by the target order data as an actual packaging box if the medicine in the target order data is completely packaged;
the packaging volume comparison module is used for comparing the volume of the actual packaging box with the volume of the recommended packaging box;
the downward adjustment module is used for adjusting the deviation of the use information downward according to the order type if the volume of the actual packing box is larger than that of the recommended packing box;
and the upward adjustment module is used for adjusting the deviation of the use information upward according to the order type if the volume of the actual packing box is smaller than the volume of the recommended packing box.
In one embodiment of the present invention, if the order type is a single-class order, the usage information is a maximum packing number, and if the order type is a multiple-class order, the usage information is a minimum packing volume;
the downward adjustment module includes:
the first actual quantity counting module is used for reading the quantity of medicines contained in the same packing box when the packing box is actually used from the target order data and the latest first candidate order data if the order type is a single-item order, wherein the first candidate order data is the reference order data for adjusting deviation;
the first actual quantity filtering module is used for filtering m actual quantities with the largest value and n actual quantities with the smallest value from all the actual quantities;
the maximum boxing quantity downward rounding module is used for rounding the average value of the rest actual quantity downward if filtering is completed, so as to obtain a new maximum boxing quantity;
the first actual volume statistics module is used for reading the volume of a packaging box actually used from the target order data and a plurality of latest second candidate order data as the actual volume if the order type is a multi-class order, wherein the second candidate order data is the reference order data for adjusting deviation;
The first actual volume filtering module is used for filtering m actual volumes with the largest numerical value and n actual volumes with the smallest numerical value from all the actual volumes;
the minimum boxing volume downward rounding module is used for rounding the average value of the rest actual volumes downward if filtering is completed, so as to obtain a new minimum boxing volume;
the upward adjustment module includes:
the second actual quantity counting module is used for reading the quantity of medicines contained in the same packing box in actual use from the target order data and a plurality of latest third candidate order data as actual quantity if the order type is a single-item order, wherein the third candidate order data is the reference order data for adjusting deviation;
the second actual quantity filtering module is used for filtering m actual quantities with the largest value and n actual quantities with the smallest value from all the actual quantities;
the maximum boxing quantity upward rounding module is used for rounding the average value of the rest actual quantity upward if filtering is completed, so as to obtain a new maximum boxing quantity;
the second actual volume statistics module is used for reading the volume of the packaging box actually used from the target order data and the latest multiple fourth candidate order data as the actual volume if the order type is a multiple-item order, wherein the fourth candidate order data is the reference order data with the deviation adjusted upwards;
The second actual volume filtering module is used for filtering m actual volumes with the largest value and n actual volumes with the smallest value from all the actual volumes;
and the minimum boxing volume upward rounding module is used for rounding the average value of the rest actual volumes upward if filtering is completed, so as to obtain a new minimum boxing volume.
The selection device of the medicine packing box provided by the embodiment of the invention can execute the selection method of the medicine packing box provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the selection method of the medicine packing box.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the method of selecting a pharmaceutical package.
In some embodiments, the method of selecting pharmaceutical packaging may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described method of selecting a pharmaceutical packaging case may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of selecting the pharmaceutical packaging case by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
Example five
Embodiments of the present invention also provide a computer program product comprising a computer program which, when executed by a processor, implements a method of selecting a pharmaceutical packaging box as provided by any of the embodiments of the present invention.
Computer program product in the implementation, the computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method of selecting a pharmaceutical package, comprising:
receiving target order data, wherein medicines in the target order data wait to be filled into a packaging box in a sorting link;
dividing the order type for the target order data in the dimension of the number of the medicine classes;
inquiring reference order data of which the transaction is completed according to the order type, wherein the class of medicines in the reference order data is the same as or similar to the class of medicines in the target order data;
Counting the use information of various packaging boxes according to the reference order data;
and selecting a packaging box capable of containing the medicines in the target order data according to the use information as a recommended packaging box.
2. The method of claim 1, wherein querying historical completed trade reference order data based on the order type comprises:
if the order type is a single-item order, inquiring first historical order data of which the history has completed transactions, wherein the item type of medicines in the first historical order data is the same as the item type of medicines in the target order data;
if the first historical order data is queried, marking the first historical order data as reference order data;
if the first historical order data is not queried, querying second historical order data of which the history has completed transactions, wherein the volume of medicines in the second historical order data is within an error range of the volume of medicines in the target order data;
if the second historical order data is queried, marking the second historical order data as reference order data;
the lower limit of the error range is the volume calculated after the length, width and height of the medicine in the target order data float downwards in a first proportion respectively, and the upper limit is the volume calculated after the length, width and height of the medicine in the target order data float upwards in a second proportion respectively.
3. The method of claim 2, wherein said counting usage information of various packages based on said reference order data comprises:
counting the quantity of medicines contained in various packaging boxes used in the reference order data;
counting the maximum value of the quantity of medicines contained in the packaging boxes aiming at the same packaging box as the maximum packing quantity;
recording the maximum packing data as the use information of the packing box aiming at the same packing box;
the selecting, as a recommended packing box, a packing box capable of accommodating the medicines in the target order data according to the usage information, includes:
comparing the maximum packing quantity of various packing boxes with the quantity of medicines in the target order;
and if the maximum boxing quantity of a certain type of packaging boxes is larger than or equal to the quantity of the medicines in the target order and is closest to the quantity of the medicines in the target order, determining the packaging boxes which can contain the medicines in the target order data as recommended packaging boxes.
4. The method of claim 1, wherein querying historical completed trade reference order data based on the order type comprises:
If the order type is a multi-product order, inquiring third historical order data with completed histories, wherein the third historical order data and the target order data are the same in the number of products in the product class and each product class;
if the third historical order data is queried, marking the third historical order data as reference order data;
if the third historical order data is not queried, querying fourth historical order data with completed histories, wherein the fourth historical order data is a proper subset of the target order data in the medicine class and/or the quantity of medicines in each class;
and if the fourth historical order data is queried, marking the fourth historical order data as reference order data.
5. The method of claim 4, wherein said counting usage information of various packages based on said reference order data comprises:
counting the volumes of various packaging boxes used in the reference order data;
counting the minimum value of the volumes of various packing boxes to be used as the minimum packing volume;
recording the minimum boxing volume as the use information of the packaging box;
The selecting, as a recommended packing box, a packing box capable of accommodating the medicines in the target order data according to the usage information, includes:
comparing the volumes of the various packages with the minimum packaging volume;
and if the volume of a certain packing box is larger than or equal to the minimum packing volume and is closest to the minimum packing volume, determining that the packing box can contain the medicine in the target order data as a recommended packing box.
6. The method of any one of claims 1-5, further comprising:
if the medicine in the target order data is packaged, inquiring a packaging box actually used by the target order data as an actual packaging box;
comparing the volume of the actual packaging box with the volume of the recommended packaging box;
if the volume of the actual packaging box is larger than that of the recommended packaging box, the deviation of the use information is downwards adjusted according to the order type;
and if the volume of the actual packaging box is smaller than that of the recommended packaging box, the deviation of the use information is adjusted upwards according to the order type.
7. The method of claim 6, wherein the usage information is a maximum bin count if the order type is a single-item type order, and a minimum bin count if the order type is a multiple-item type order;
The step of adjusting the deviation of the usage information downwards according to the order type comprises the following steps:
if the order type is a single-item order, reading the quantity of medicines contained in the same packing box in actual use from the target order data and a plurality of latest first candidate order data, wherein the first candidate order data is the reference order data for adjusting deviation;
filtering m actual numbers with the largest numerical value from all the actual numbers, and n actual numbers with the smallest numerical value;
if filtering is finished, rounding the average value of the rest actual quantity downwards to obtain a new maximum boxing quantity;
if the order type is a multi-item order, the volume of the actually used packing box is read from the target order data and a plurality of latest second candidate order data, and the second candidate order data is the reference order data for adjusting deviation;
filtering m actual volumes with the largest value from all the actual volumes, and n actual volumes with the smallest values;
if filtering is finished, rounding down the average value of the rest actual volumes to obtain a new minimum boxing volume;
The adjusting the deviation of the usage information according to the order type comprises the following steps:
if the order type is a single-item order, reading the quantity of medicines contained in the same packing box in actual use from the target order data and a plurality of latest third candidate order data, wherein the third candidate order data is the reference order data for adjusting deviation;
filtering m actual numbers with the largest numerical value from all the actual numbers, and n actual numbers with the smallest numerical value;
if filtering is finished, rounding up the average value of the rest actual quantity to obtain a new maximum boxing quantity;
if the order type is a multi-item order, the volume of a packaging box which is actually used is read from the target order data and a plurality of latest fourth candidate order data, and the fourth candidate order data is the reference order data with the deviation adjusted upwards as the actual volume;
filtering m actual volumes with the largest value from all the actual volumes, and n actual volumes with the smallest values;
and if filtering is finished, rounding up the average value of the rest actual volumes to obtain a new minimum boxing volume.
8. A selection device for a pharmaceutical package, comprising:
the target order data receiving module is used for receiving target order data, and medicines in the target order data wait to be filled into a packaging box in a sorting link;
the order type dividing module is used for dividing the order type for the target order data in the dimension of the number of the medicine classes;
the reference order data query module is used for querying the reference order data of which the transaction is completed according to the order type, wherein the class of the medicines in the reference order data is the same as or similar to the class of the medicines in the target order data;
the using information statistics module is used for counting using information of various packaging boxes according to the reference order data;
and the packing box recommending module is used for selecting a packing box capable of containing the medicines in the target order data according to the use information to be used as a recommending packing box.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of selecting a pharmaceutical packaging box of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for causing a processor to execute the method of selecting a pharmaceutical packaging box according to any one of claims 1-7.
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