CN115660310A - Production distribution method, device, medium and electronic equipment for clothing orders - Google Patents

Production distribution method, device, medium and electronic equipment for clothing orders Download PDF

Info

Publication number
CN115660310A
CN115660310A CN202210992719.2A CN202210992719A CN115660310A CN 115660310 A CN115660310 A CN 115660310A CN 202210992719 A CN202210992719 A CN 202210992719A CN 115660310 A CN115660310 A CN 115660310A
Authority
CN
China
Prior art keywords
production
order
distributed
production line
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210992719.2A
Other languages
Chinese (zh)
Inventor
王钰豪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Shanshu Network Technology Co ltd
Shanshu Science And Technology Suzhou Co ltd
Shanshu Science And Technology Beijing Co ltd
Shenzhen Shanzhi Technology Co Ltd
Original Assignee
Shanghai Shanshu Network Technology Co ltd
Shanshu Science And Technology Suzhou Co ltd
Shanshu Science And Technology Beijing Co ltd
Shenzhen Shanzhi Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Shanshu Network Technology Co ltd, Shanshu Science And Technology Suzhou Co ltd, Shanshu Science And Technology Beijing Co ltd, Shenzhen Shanzhi Technology Co Ltd filed Critical Shanghai Shanshu Network Technology Co ltd
Priority to CN202210992719.2A priority Critical patent/CN115660310A/en
Publication of CN115660310A publication Critical patent/CN115660310A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application provides a production distribution method and device for a clothing order, a computer readable medium and electronic equipment. The method comprises the following steps: matching the requirement style information of each order to be distributed with producible style information supported by each first production plant, and determining a second production plant matched with the same order to be distributed from the first production plant; matching the required style information of the order to be distributed with the production information of each production line in the second production factory matched with the required style information, and determining at least one production line to be selected from the production lines in the second production factory; determining a target production line group from the production lines to be selected according to a preset allocation strategy according to the demand cargo quantity, the maximum production period and the capacity information of each production line to be selected of the order to be allocated; and distributing the orders to be distributed to each target production line in the target production line group for production. The technical scheme of the application embodiment can improve the efficiency of clothing order distribution and ensure the reasonability of order distribution.

Description

Production distribution method, device, medium and electronic equipment for clothing orders
Technical Field
The application relates to the technical field of computers and data processing, in particular to a production distribution method, a production distribution device, a production distribution medium and electronic equipment for clothing orders.
Background
For the clothing industry branders, the upstream is the clothing distributors, and the downstream is the clothing factories. Each clothing dealer issues the purchasing requirements of the clothing to the brand dealer, and the brand dealer assembles the purchasing requirements and distributes the purchasing requirements to different factories for production. For clothing brands, the success of ordering is related to whether the brand can meet the requirements of upstream distributors, and also related to whether the brand can maintain good and stable cooperation with suppliers. In the current technical scheme, order allocation is usually performed by using an Excel table mode, so that allocation efficiency is low and errors are easy to occur. Therefore, how to improve the efficiency of the order distribution of the clothes and ensure the reasonability of the order distribution becomes an urgent technical problem to be solved.
Disclosure of Invention
The embodiment of the application provides a production allocation method and device for a clothing order, a computer program product or a computer program, a computer readable medium and an electronic device, so that the clothing order allocation efficiency can be improved at least to a certain extent, and the order allocation reasonability can be ensured.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of an embodiment of the present application, there is provided a production allocation method for a clothing order, the method including: acquiring the demand style information of each order to be distributed and the producible style information supported by each first production factory to be selected; matching the requirement style information of each order to be distributed with producible style information supported by each first production plant, and determining a second production plant matched with the same order to be distributed from the first production plants; matching the demand style information of the order to be distributed with the production information of each production line in a second production factory matched with the demand style information, and determining at least one production line to be selected from the production lines of the second production factory; determining a target production line group for producing the order to be distributed from the production lines to be selected according to a preset distribution strategy according to the demand cargo volume, the maximum production period and the capacity information of each production line to be selected of the order to be distributed; and distributing the orders to be distributed to each target production line in the target production line group for production.
According to an aspect of an embodiment of the present application, there is provided a production distribution apparatus for a clothing order, the apparatus including: the acquisition module is used for acquiring the required style information of each order to be distributed and the producible style information supported by each first production factory to be selected; the first matching module is used for matching the requirement style information of each order to be distributed with the producible style information supported by each first production plant and determining a second production plant matched with the same order to be distributed from the first production plant; the second matching module is used for matching the requirement style information of the order to be distributed with the production information of each production line in a second production factory matched with the requirement style information of the order to be distributed, and determining at least one production line to be selected from the production lines of the second production factory; a production line selection module, configured to determine, according to a predetermined allocation strategy, a target production line group for producing the to-be-allocated order from the to-be-allocated production lines according to the required cargo volume of the to-be-allocated order, the maximum production cycle, and the capacity information of each to-be-allocated production line; and the processing module is used for distributing the orders to be distributed to each target production line in the target production line group for production.
According to an aspect of embodiments herein, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device execute the production allocation method for the clothing orders in the above embodiment.
According to an aspect of an embodiment of the present application, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the production allocation method for a clothing order as described in the above embodiment.
According to an aspect of an embodiment of the present application, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the production allocation method for a garment order as described in the embodiments above.
In the technical solutions provided in some embodiments of the present application, by obtaining the demand style information of each to-be-allocated order and the producible style information supported by each to-be-selected first production plant, matching the demand style information of each to-be-allocated order with the producible style information supported by each first production plant, determining a second production plant matched with the same to-be-allocated order from the first production plant, matching the demand style information of the to-be-allocated order with the producible information of each production line in the second production plant matched with the demand style information, determining at least one to-be-allocated production line from the production lines of the second production plant, determining a target production line group for producing the to-be-allocated order from the to-be-allocated production lines according to the demand quantity of the to-be-allocated order, the maximum producible period, and the capacity information of each to-be-allocated production line, and allocating the to-be-allocated order to each target production line in the target production lines for production according to a predetermined allocation strategy. Therefore, based on the matching of the demand style information and the producible style information of the production factory, a second production factory capable of being used for producing the order demand to be distributed is determined, the production line to be selected in the second production factory specifically used for producing the order demand to be distributed is further determined, and the target production line group is determined to be used for producing the order to be distributed by combining the demand cargo quantity, the maximum producible period and the capacity information of each production line to be selected of the order to be distributed, so that the order distribution efficiency is improved, and meanwhile, the order distribution rationality is guaranteed.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 shows a flow diagram of a method of production distribution of a garment order according to an embodiment of the present application;
FIG. 2 illustrates a flow diagram of step S140 of the method for production allocation of a garment order of FIG. 1 according to one embodiment of the present application;
FIG. 3 shows a block diagram of a production distribution facility for a garment order according to one embodiment of the present application;
FIG. 4 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It should be noted that: reference herein to "a plurality" means two or more. "and/or" describe the association relationship of the associated objects, meaning that there may be three relationships, e.g., A and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
It is noted that the terms first, second and the like in the description and claims of the present application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than those illustrated or described herein.
Fig. 1 shows a flow diagram of a method of production distribution of a garment order according to an embodiment of the present application.
The method can be applied to a server or a terminal, wherein the server can be a physical server or a cloud server, and in addition, the server can be a single server or a server cluster formed by a plurality of servers; if the present invention is applied to a terminal, the present invention may include, but is not limited to, one or more of a smart phone, a tablet computer, a laptop computer, and a desktop computer, and the present invention is not limited thereto.
Referring to fig. 1, the method for producing and distributing a clothing order at least includes steps S110 to S150, and the following description will be given by taking the method as an example applied to a server, and the following steps are described in detail:
in step S110, the demand style information of each order to be allocated and the producible style information supported by each first production plant to be selected are acquired.
The order to be distributed can be a purchase order which is received by the clothing brander from an upstream distributor and is not issued to a factory (namely a production factory) for clothing production. It should be understood that the number of orders to be distributed may be one or more, as the same brand of apparel may correspond to one or more distributors.
The demand style information may be attribute information for describing a style of the purchased garment required for the order to be allocated, and may include, but is not limited to, one or more of a type of face, a genre, and a special label, for example, the type of face may be woven, knitted, jean, or wool; the major categories may be POLO shirts, T-shirts, casual pants, casual suits, half-skirts, sweaters, coats, suits, leggings, cotton waders, woollen sweater, jeans, down jackets, vests, shirts, one-piece dress, windcheaters, vests, and the like; the special label can be laser, light and thin down, needle and shuttle splicing, seamless knitting, knitting and shuttle weaving, a 3-needle import machine, a 5-color 32-yarn nozzle, knitted cowboys, glue pressing, tying/hanging dyeing, four-needle six-thread, PU, down vests, down trousers, fake wool, lamb down and the like, and the special label refers to some garment attributes which need special technology or special equipment for production and can not be produced by every production factory.
The first manufacturing facility may be a foundry that cooperates with a brand of apparel, and it should be understood that different manufacturing facilities may have different manufacturing equipment or line configurations due to differences in areas of expertise or scale, and thus, different manufacturing facilities may support the manufacture of different styles of apparel. Thus, the information on the producible styles that can be produced by the first production plant, which may include, but is not limited to, one or more of a denomination, a genre, and a special label, can be determined from the producible style information that is supported by the first production plant.
In this embodiment, the server may obtain the orders to be distributed from the local storage, and read the required style information of each order to be distributed. Moreover, each first production factory cooperating with the clothing brand provider can also feed back the information of the producible style supported by the first production factory to the clothing brand provider in advance, so that the information is stored in the server for subsequent reading.
In step S120, the demand pattern information of each order to be allocated is matched with the producible pattern information supported by each first production plant, and a second production plant matched with the same order to be allocated is determined from the first production plants.
In this embodiment, the server may match the acquired demand style information of each to-be-distributed order with the producible style information supported by each first production plant, for example, if the demand style information of a certain to-be-distributed order is the same as the producible style information of a certain first production plant, it indicates that the first production plant may be used to produce the to-be-distributed order. Thus, a second production plant matching the same order to be allocated can be determined from the first production plant. It should be noted that, because there may be duplication of the types of styles that can be produced by each production plant, there may be a match of the producible style information of one or more first production plants with an order to be allocated.
In step S130, the demand style information of the order to be allocated is matched with the production information of each production line in the second production plant, and at least one production line to be selected is determined from the production lines of the second production plant.
The producible information may be attribute information describing a format producible by a production line, and it should be understood that the producible information of different production lines may be the same or different. The producible information may include a denomination and a broad category.
In this embodiment, the server may obtain, from the local storage location, the determined producibility information of each production line of the second production plant matching the same order to be allocated, and compare the order to be allocated with the producibility information of each production line, so as to determine at least one candidate production line that can be used for producing the order to be allocated from all the production lines of the second production plant.
In step S140, a target production line group for producing the to-be-allocated order is determined from the to-be-allocated production lines according to a predetermined allocation strategy according to the demand quantity of the to-be-allocated order, the maximum production cycle, and the capacity information of each to-be-allocated production line.
The order to be allocated may include the required cargo quantity, for example, 20000 pieces, 25000 pieces, and the like, the maximum production cycle may be the maximum allowable time cycle for producing the order to be allocated, and the capacity information of each line to be allocated may be information describing the production efficiency of the line to be allocated.
In this embodiment, according to the required quantity of the order to be allocated, the maximum production cycle, and the capacity information of each of the candidate production lines, a target production line group for producing the order to be allocated may be determined from the candidate production lines according to a predetermined allocation strategy. The predetermined allocation policy may be a production line allocation policy preset by a person skilled in the art. It should be noted that, since the production factory generally adopts a manual mode to perform production, it should be understood that the clothing manufacturing industry belongs to a labor-intensive industry, and manual manufacturing brings about learning cost, and the output of workers thereof gradually increases with the time for manufacturing the same clothing, that is, the experience of the workers for manufacturing the same clothing is more and more abundant, that is, "capacity climbing" in the clothing manufacturing industry.
Therefore, if one to-be-allocated order is allocated to one production line for manufacturing, the maximum production period may be exceeded, and if the to-be-allocated order is allocated to all the to-be-allocated production lines for production, although the production time is short, the worker efficiency is low. Therefore, by setting a preset distribution strategy, a production line is selected from all the production lines to be selected to form a target production line group, and the target production line group can properly prolong the production time, thereby not only meeting the requirement of the maximum production period, but also considering the production efficiency of workers.
In step S150, the order to be allocated is allocated to each target production line in the target production line group for production.
In this embodiment, after determining the target production line group, the server may assign the order to be assigned to each target production line in the target production line group for production. It should be understood that each target production line in the target production line group is used for producing a part of the demand of the order to be allocated, and the completed demand of each target production line is associated with the capacity information and the production time thereof. It should be understood that the production time of each target production line should be close to or the same to avoid that the order delivery is affected by too long production time of a single production line and too short production time of other production lines.
It should be noted that, if the target production line group includes production lines of different production plants, the server may determine the quantity of goods required to be completed by each target production line, and feed back the corresponding requirements to each production plant for production.
Based on the embodiment shown in fig. 1, fig. 2 shows a flowchart of step S140 in the production allocation method for a clothing order of fig. 1 according to an embodiment of the present application. Referring to fig. 2, step S140 at least includes steps S210 to S220, which are described in detail as follows:
in step S210, determining the number of target production lines corresponding to the order to be allocated according to the demand style information and/or the demand quantity of the order to be allocated.
The target production line number can be the optimal production line number for producing the order to be distributed, namely, the production time is considered, and meanwhile, the production efficiency of workers is comprehensively considered.
In this embodiment, the server may determine the number of target production lines corresponding to the order to be allocated according to the demand style information and/or the demand quantity of the order to be allocated. In one example, the clothing brander can determine the number of corresponding target production lines in advance according to different types of requirements and types of information according to previous experiences; in another example, the clothing brander may also set the number of corresponding target production lines according to different types of demand information and different ranges of demand quantity, for example, type a, 20000 pieces of demand quantity, 5 pieces of corresponding target production lines, type a, 35000 pieces of demand quantity, 7 pieces of corresponding target production lines, and so on; in another example, the clothing brander may also determine the number of the corresponding target production lines only considering the numerical range of the demand quantity, for example, the demand quantity is between 10000-20000 pieces, the number of the corresponding target production lines is 5, the demand quantity is between 20000-40000, the number of the corresponding target production lines is 7, and so on. It should be noted that the above numbers are only exemplary and are not particularly limited.
In step S220, according to the required goods volume of the to-be-allocated order, the maximum production cycle, the capacity information of each to-be-allocated production line, and the target production line quantity, a target production line group for producing the to-be-allocated order is determined from the to-be-allocated production lines according to a predetermined allocation strategy.
In this embodiment, if the number of the to-be-selected production lines is less than or equal to the number of the target production lines, the number of all the to-be-selected production lines may be used as the target production lines to produce the to-be-allocated order. And if the number of the to-be-selected production lines is greater than that of the target production lines, preferentially selecting the to-be-selected production lines belonging to the same second production factory as the target production lines, and if the number of the to-be-selected production lines of the same second production factory is not enough, selecting from other second production factories so that the determined target production line group can meet the purchasing requirement of the to-be-distributed order.
It should be understood that the determined capacity used by each target production line in the target production line group can be produced without exceeding the available capacity of the target production line group, so as to ensure the rationality of production allocation.
In an embodiment of the present application, determining a target production line group for producing the to-be-allocated order from the to-be-allocated production lines according to a predetermined allocation policy includes:
and selecting the set of the to-be-selected production lines with the largest daily production total amount, the target production line number and the largest production period from the to-be-selected production lines as a target production line group.
In this embodiment, the total daily production amount is the largest, that is, the sum of the daily production amounts of the target production lines in the determined target production line group should be greater than the total production amounts of other candidate production line sets in the same number. Therefore, the determined target production line group can meet the requirements of the number of the target production lines and the maximum production period, and can ensure that the total production amount per day is maximum, so that the production speed of the order to be distributed is increased as much as possible, and the characteristics of the short delivery period in the clothing field are met.
Based on the foregoing embodiments, in an embodiment of the present application, acquiring producible style information supported by each candidate first production plant includes:
acquiring capacity occupation information of all first production plants;
determining a first production factory to be selected according to a preset selection strategy according to the capacity occupation information of each first production factory;
and acquiring information of producible styles supported by the first production factory to be selected.
In this embodiment, when determining the first production plants to be selected, capacity occupancy information of all the first production plants, that is, the ratio of occupied capacity to total capacity of the first production plants, which is predetermined, may be obtained in advance. For example, if the first production plant has 70% capacity, then 30% of the capacity remains available for production of new orders, and so on.
In one example, each first production plant may feed back its capacity occupancy information to the server in real time when receiving a new order or a new capacity reservation, so that the server knows the capacity occupancy of each first production plant.
Then, after the capacity occupancy information of all the first production plants is obtained, the first production plant to be selected may be determined according to a pre-selected policy, and in an example, the first production plant of which the capacity occupancy information is smaller than a certain threshold may be selected as the first production plant to be selected, so that the capacity occupancy of all the production plants can reach a higher target value, and the situations that the capacity occupancy of a certain first production plant is too high and the capacity occupancy of some first production plants is too low are avoided. And when the first production factory to be selected is determined, acquiring the producible style information supported by the first production factory to be selected.
In an embodiment of the application, after the order to be allocated is allocated to each target production line in the target production line group for production, the method further includes:
and if the orders to be distributed with the same requirement style information exist, preferentially distributing the orders to be distributed with the same requirement style information to the same second production factory for production.
In the embodiment, the orders to be distributed with the same requirement style information are preferentially distributed to the same second production factory for production, so that the learning cost of workers can be reduced, and the production efficiency of a production line is improved. Specifically, under the condition that the capacity is sufficient, orders to be distributed with the same required style information can be preferentially distributed to the same target production line for production, so that the production efficiency of workers can be improved, matching is not needed to be carried out again, and the order distribution efficiency is improved.
In an embodiment of the application, after the order to be allocated is allocated to each target production line in the target production line group for production, the method further includes:
determining order arrangement rate according to the number of the distributed orders to be distributed and the total amount of the orders to be distributed;
and if the order arrangement rate does not reach a preset threshold value, continuously carrying out order distribution processing on the orders to be distributed which are not distributed yet.
In this embodiment, the server may divide the number of the allocated orders to be allocated by the total number of the orders to be allocated to determine an order arrangement rate, compare the order arrangement rate with a preset threshold value, and if the order arrangement rate does not reach the preset threshold value, continue to perform order allocation processing on the orders to be allocated that have not been allocated to enable the order arrangement rate to reach the preset threshold value, that is, allocate all the orders to be allocated to the production plant as much as possible for production, thereby achieving a higher customer satisfaction.
In one embodiment of the present application, determining a maximum producible period of the order to be allocated comprises:
determining the earliest online date corresponding to the order to be distributed according to the order placing date corresponding to the order to be distributed and the standard production cycle of the fabric;
determining the latest offline date corresponding to the order to be distributed according to the customer delivery period, the logistics period and the post whole period corresponding to the order to be distributed;
determining a maximum producible period of the order to be allocated according to the earliest online date and the latest offline date.
In this embodiment, the fabric ordering date is the order ordering time of the fabric of the style required by the order to be allocated, the fabric standard production cycle is the standard time cycle of the fabric required by the order to be allocated, and the earliest on-line date of the order to be allocated, that is, the earliest time that each target production line can produce the order to be allocated, can be determined based on the fabric ordering date and the fabric standard production cycle. The customer delivery time corresponding to the order to be distributed, namely the latest delivery time determined by the customer, the logistics cycle, namely the time length for transporting the clothes of the order to be distributed to the delivery place, and the final whole cycle, namely the time required for quality inspection and boxing after the clothes are produced. Based on the customer delivery period, the logistics period and the whole period, the latest lower limit date corresponding to the order to be distributed, namely the latest production completion time, can be determined. According to the earliest online date and the latest offline date, the maximum production period of the order to be distributed can be determined, and the reasonability of determining the maximum production period is ensured so as to meet the requirements of customers.
FIG. 3 shows a block diagram of a production distribution facility for a garment order according to one embodiment of the present application.
Referring to fig. 3, a production distribution device for a clothing order according to an embodiment of the present application includes:
the acquisition module is used for acquiring the required style information of each order to be distributed and the producible style information supported by each first production factory to be selected;
the first matching module is used for matching the requirement style information of each order to be distributed with the producible style information supported by each first production plant and determining a second production plant matched with the same order to be distributed from the first production plant;
the second matching module is used for matching the requirement style information of the order to be distributed with the production information of each production line in a second production factory matched with the requirement style information of the order to be distributed, and determining at least one production line to be selected from the production lines of the second production factory;
a production line selection module, configured to determine, according to a predetermined allocation strategy, a target production line group for producing the order to be allocated from the to-be-allocated production lines according to the required quantity of the order to be allocated, the maximum production cycle, and the capacity information of each to-be-allocated production line;
and the processing module is used for distributing the orders to be distributed to each target production line in the target production line group for production.
In some embodiments of the present application, based on the foregoing solution, the production line selection module is configured to: determining the number of target production lines corresponding to the order to be distributed according to the demand style information and/or the demand cargo quantity of the order to be distributed; according to the demand goods quantity, the maximum production period, the capacity information of each to-be-selected production line and the quantity of the target production lines of the to-be-allocated orders, determining a target production line group for producing the to-be-allocated orders from the to-be-selected production lines according to a preset allocation strategy
In some embodiments of the present application, based on the foregoing solution, the production line selection module is configured to: and selecting the set of the production lines to be selected which has the maximum daily production total amount and meets the target production line number and the maximum production period from the production lines to be selected as a target production line group.
In some embodiments of the present application, based on the foregoing solution, the obtaining module is configured to: acquiring capacity occupation information of all first production plants; determining a first production factory to be selected according to a preset selection strategy according to the capacity occupation information of each first production factory; and acquiring producible style information supported by each first production factory to be selected.
In some embodiments of the present application, based on the foregoing solution, the processing module is further configured to: and if the orders to be distributed with the same requirement style information exist, preferentially distributing the orders to be distributed with the same requirement style information to the same second production factory for production.
In some embodiments of the present application, based on the foregoing solution, the processing module is further configured to: determining order arrangement rate according to the number of the distributed orders to be distributed and the total amount of the orders to be distributed; and if the order arrangement rate does not reach a preset threshold value, continuously carrying out order distribution processing on the orders to be distributed which are not distributed yet.
In some embodiments of the present application, based on the foregoing solution, the production line selection module is further configured to: determining the earliest online date corresponding to the order to be distributed according to the order placing date corresponding to the order to be distributed and the standard production cycle of the fabric; determining the latest offline date corresponding to the order to be distributed according to the customer delivery period, the logistics period and the whole later period corresponding to the order to be distributed; and determining the maximum production period of the order to be distributed according to the earliest online date and the latest offline date.
FIG. 4 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
It should be noted that the computer system 1000 of the electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, the computer system 1000 includes a Central Processing Unit (CPU) 1001 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1002 or a program loaded from a storage portion 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for system operation are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other by a bus 1004. An Input/Output (I/O) interface 1005 is also connected to the bus 1004.
The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output section 1007 including a Display panel such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 1008 including a hard disk and the like; and a communication section 1009 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. A drive 1010 is also connected to the I/O interface 1005 as necessary. A removable medium 1011 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1010 as necessary, so that a computer program read out therefrom is mounted into the storage section 1008 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication part 1009 and/or installed from the removable medium 1011. When the computer program is executed by a Central Processing Unit (CPU) 1001, various functions defined in the system of the present application are executed.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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), a 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. In the context of this application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to execute the production allocation method for the clothing order described in the above embodiments.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the method for producing and distributing a clothing order as described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method for production distribution of a garment order, the method comprising:
acquiring the demand style information of each order to be distributed and the producible style information supported by each first production factory to be selected;
matching the requirement style information of each order to be distributed with producible style information supported by each first production plant, and determining a second production plant matched with the same order to be distributed from the first production plants;
matching the demand style information of the order to be distributed with the production information of each production line in a second production factory matched with the demand style information, and determining at least one production line to be selected from the production lines of the second production factory;
determining a target production line group for producing the order to be distributed from the production lines to be selected according to a preset distribution strategy according to the demand cargo volume, the maximum production period and the capacity information of each production line to be selected of the order to be distributed;
and distributing the orders to be distributed to each target production line in the target production line group for production.
2. The method as claimed in claim 1, wherein determining a target production line group for producing the order to be distributed from the candidate production lines according to a predetermined distribution strategy according to the demand capacity, the maximum production cycle and the capacity information of each candidate production line of the order to be distributed comprises:
determining the number of target production lines corresponding to the order to be distributed according to the demand style information and/or the demand cargo quantity of the order to be distributed;
and determining a target production line group for producing the order to be distributed from the production lines to be selected according to a preset distribution strategy according to the required goods quantity, the maximum production period, the capacity information of each production line to be selected and the target production line quantity of the order to be distributed.
3. The method of claim 2, wherein determining a target production line group for producing the to-be-allocated order from the to-be-allocated production lines according to a predetermined allocation policy comprises:
and selecting the set of the to-be-selected production lines with the largest daily production total amount, the target production line number and the largest production period from the to-be-selected production lines as a target production line group.
4. The method of claim 1, wherein obtaining information of producible models supported by each of the candidate first production plants comprises:
acquiring capacity occupation information of all first production plants;
determining a first production factory to be selected according to a preset selection strategy according to the capacity occupation information of each first production factory;
and acquiring information of producible styles supported by the first production factory to be selected.
5. The method of claim 1, wherein after assigning the order to be assigned to each target production line in the set of target production lines for production, the method further comprises:
and if the orders to be distributed with the same requirement style information exist, preferentially distributing the orders to be distributed with the same requirement style information to the same second production factory for production.
6. The method of claim 1, wherein after assigning the order to be assigned to each target production line in the set of target production lines for production, the method further comprises:
determining order arrangement rate according to the number of the distributed orders to be distributed and the total amount of the orders to be distributed;
and if the order arrangement rate does not reach a preset threshold value, continuing order distribution processing on the orders to be distributed which are not distributed yet.
7. The method of any of claims 1-6, wherein determining a maximum producible period of the order to be allocated comprises:
determining the earliest online date corresponding to the order to be distributed according to the order placing date corresponding to the order to be distributed and the standard production cycle of the fabric;
determining the latest offline date corresponding to the order to be distributed according to the customer delivery period, the logistics period and the post whole period corresponding to the order to be distributed;
and determining the maximum production period of the order to be distributed according to the earliest online date and the latest offline date.
8. A garment order production distribution apparatus, comprising:
the acquisition module is used for acquiring the required style information of each order to be distributed and the producible style information supported by each first production factory to be selected;
the first matching module is used for matching the requirement style information of each order to be distributed with the producible style information supported by each first production plant and determining a second production plant matched with the same order to be distributed from the first production plant;
the second matching module is used for matching the requirement style information of the order to be distributed with the production information of each production line in a second production factory matched with the requirement style information of the order to be distributed, and determining at least one production line to be selected from the production lines of the second production factory;
a production line selection module, configured to determine, according to a predetermined allocation strategy, a target production line group for producing the to-be-allocated order from the to-be-allocated production lines according to the required cargo volume of the to-be-allocated order, the maximum production cycle, and the capacity information of each to-be-allocated production line;
and the processing module is used for distributing the orders to be distributed to each target production line in the target production line group for production.
9. An electronic device, comprising one or more processors and one or more memories having stored therein at least one program code, the at least one program code being loaded and executed by the one or more processors to perform the operations performed by the method for production distribution of clothing orders according to any of claims 1 to 7.
10. A computer-readable storage medium having stored therein at least one program code, the at least one program code being loaded into and executed by a processor to perform the operations of the method for production distribution of a garment order according to any of claims 1 to 7.
CN202210992719.2A 2022-08-18 2022-08-18 Production distribution method, device, medium and electronic equipment for clothing orders Pending CN115660310A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210992719.2A CN115660310A (en) 2022-08-18 2022-08-18 Production distribution method, device, medium and electronic equipment for clothing orders

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210992719.2A CN115660310A (en) 2022-08-18 2022-08-18 Production distribution method, device, medium and electronic equipment for clothing orders

Publications (1)

Publication Number Publication Date
CN115660310A true CN115660310A (en) 2023-01-31

Family

ID=84984530

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210992719.2A Pending CN115660310A (en) 2022-08-18 2022-08-18 Production distribution method, device, medium and electronic equipment for clothing orders

Country Status (1)

Country Link
CN (1) CN115660310A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116542508A (en) * 2023-05-08 2023-08-04 秒优大数据科技(杭州)有限公司 Clothing order scheduling method, device and equipment
CN116542456A (en) * 2023-04-25 2023-08-04 秒优大数据科技(杭州)有限公司 Intelligent order sending method, device and equipment
CN116681401A (en) * 2023-06-17 2023-09-01 海格欧义艾姆(天津)电子有限公司 PCB production management method, device, equipment and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116542456A (en) * 2023-04-25 2023-08-04 秒优大数据科技(杭州)有限公司 Intelligent order sending method, device and equipment
CN116542456B (en) * 2023-04-25 2023-12-01 秒优大数据科技(杭州)有限公司 Intelligent order sending method, device and equipment
CN116542508A (en) * 2023-05-08 2023-08-04 秒优大数据科技(杭州)有限公司 Clothing order scheduling method, device and equipment
CN116681401A (en) * 2023-06-17 2023-09-01 海格欧义艾姆(天津)电子有限公司 PCB production management method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
CN115660310A (en) Production distribution method, device, medium and electronic equipment for clothing orders
KR101975750B1 (en) Customized apparel materials recommendation and ordering system
US20210312380A1 (en) Systems and methods for dynamically determining wearable items for a subscription electronics transactions platform
CN111986003A (en) Generation method and device of commodity combination package, computer equipment and storage medium
CN107292757A (en) A kind of textile garment manufacture method and system based on internet
CN108154570A (en) A kind of monitoring method, terminal and computer storage media to straight-bar machines manufacturing schedule
CN109804406A (en) Clothes manufacturing management equipment, clothes manufacturing management method, clothes customization system and program
CN111985862A (en) Method and apparatus for locating inventory items
CN112232908A (en) Dress designing and industry integration platform
CN110796511A (en) Personalized intelligent service platform for leather clothing customization
CN111124854A (en) Method, system, terminal and storage medium for distributing smoking test cases
CN113077207A (en) Cloud platform-based remote production management system of full-forming flat knitting machine
CN105913276A (en) Price error-proofing method based on SKU
CN110163402B (en) Method and device for determining stock quantity units in order
US20230092996A1 (en) Systems and methods for electronic platform for inventory sharing
CN111881148A (en) Object combination attribute determination method and device and electronic equipment
CN107563902A (en) A kind of method of the upgrading of clothes industry industry 4.0
CN115130959A (en) Method, system, terminal and storage medium for generating spare part BOM
CN114298560A (en) Process flow card generation method and device, electronic equipment and storage medium
CN113256382A (en) Order processing method and device, electronic equipment and storage medium
CN111768157A (en) Dynamic material calculation method and system
CN111784230A (en) Weaving order information storage management system
Wan et al. A new construction of garment personalized customization mode combined with garment intelligent production
CN113228069A (en) Capacity management system and method for supporting sustainable production of garments
CN114092163B (en) Electronic shelf label price changing method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination