CN113837476B - Product delivery supply chain prediction method and device, electronic equipment and computer readable storage medium - Google Patents
Product delivery supply chain prediction method and device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a product delivery supply chain prediction method, a device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: determining each subordinate provider of a core manufacturing enterprise in the manufacturing process of a target product; generating a plurality of supply chains based on the core manufacturing enterprise and each subordinate provider; determining, for each supply chain, a first lead time for the core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise; determining a second lead time for the subordinate provider from a production database of the subordinate provider; determining a delivery time of the supply chain based on the first delivery time and the second delivery time; and acquiring the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as the optimal supply chain of the target product. And on the basis of the first delivery time and the second delivery time, the accuracy of the optimal supply chain is improved by automatically calculating the delivery time of each supply chain and determining the optimal supply chain.
Description
Technical Field
The present application relates to the field of supply chain management, and in particular, to a product delivery supply chain prediction method, apparatus, electronic device, and computer readable storage medium.
Background
The supply chain is a functional network chain structure around the core manufacturer, starting with the mating parts, making intermediate products and end products, and finally delivering the products to the consumer by the sales network, connecting the suppliers, manufacturers, distributors to the end users as a whole.
Currently, in the solution of determining the delivery and supply chain of an enterprise product, it is necessary to manually determine the delivery time of each subordinate provider and the delivery time of a core manufacturing enterprise, and manually calculate the delivery times of different supply chains, so as to obtain an optimal delivery and supply chain of the product.
Since the delivery time of each subordinate provider is manually determined, the acquired delivery time of the subordinate provider deviates from the actual delivery time, and by manually calculating the delivery times of different supply chains, calculation errors easily occur, thereby finally causing inaccuracy of the determined optimal product delivery supply chain.
Disclosure of Invention
The application aims to provide a product delivery supply chain prediction method, a device, electronic equipment and a computer readable storage medium, which can improve the accuracy of determining an optimal product delivery supply chain.
In order to achieve the above object, the technical scheme adopted by the embodiment of the application is as follows:
in a first aspect, an embodiment of the present application provides a product delivery supply chain prediction method, the method including:
Determining each subordinate provider of a core manufacturing enterprise in the manufacturing process of a target product, wherein the subordinate providers are a plurality of;
generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
determining, for each of the supply chains, a first lead time for a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise;
Determining a second lead time for a subordinate provider from a production database of the subordinate provider;
determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
And acquiring a supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as an optimal supply chain of the target product.
In an alternative embodiment, the step of determining, for each of the supply chains, a first delivery time of a core manufacturer in the supply chain from a production database of the core manufacturer includes:
Determining a first total production duration of the target product produced by a core manufacturing enterprise and a first logistics duration of a primary secondary product constituting the target product from a production database of the core manufacturing enterprise for each supply chain;
and taking the sum of the first total production duration and the first logistics duration as a first delivery time of the core manufacturing enterprise in the supply chain.
In an alternative embodiment, the step of determining the second lead time of the subordinate provider from the production database of the subordinate provider includes:
determining, for each of the supply chains, a delivery sub-time for a secondary product provided by each level of the subordinate provider for producing the target product;
and determining the sum of the delivery sub-times of the subordinate suppliers of each level as the second delivery time of the subordinate supplier.
In an alternative embodiment of the present invention,
The determining the delivery sub-time of the secondary product provided by each level of the secondary provider for producing the target product comprises:
For any level of the lower-level suppliers, determining the total sub-production duration of the corresponding secondary product produced by the lower-level suppliers;
determining a sub-stream length of time to provide a secondary product to the subordinate provider;
And determining the sum of the total sub-production time length and the sub-logistics time length as the delivery sub-time.
In an alternative embodiment, the step of determining, for each supply chain, a first total duration of production of the target product by the core manufacturing enterprise from a production database of the core manufacturing enterprise includes:
For each supply chain, determining the design duration, the production duration and the storage duration of the target product produced by the core manufacturing enterprise from a production database of the core manufacturing enterprise;
and calculating the sum of the design time, the production time and the storage time as a first total production time for the core manufacturing enterprise to produce the target product.
In an alternative embodiment, the step of determining, for each supply chain, a first logistic duration of a primary secondary product constituting the target product from a production database of a core manufacturing enterprise includes:
Determining, for each of the supply chains, a distance between a core manufacturing enterprise and a primary supplier in the supply chain from a production database of the core manufacturing enterprise;
determining a weight value corresponding to the distance based on the relation between the distance and a threshold value;
determining the delivery time and the transportation time of a primary product and a secondary product forming the target product;
calculating the product of the weight value and the transportation duration;
and calculating the sum of the product and the handover duration as a first logistics duration of the primary and secondary products forming the target product.
In an alternative embodiment, the method further comprises:
in the case that the target product includes a plurality of types of supply chains, calculating an optimal supply chain for each type of supply chain, respectively;
determining a longest delivery time among delivery times of all types of optimal supply chains;
and determining the longest delivery time as the shortest delivery time of the target product.
In an alternative embodiment, the method further comprises:
And returning to the step of executing each subordinate provider of the core manufacturing enterprise in the process of determining the target product to the step of acquiring the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain under the condition that the subordinate provider changes so as to update the optimal supply chain of the target product.
In a second aspect, embodiments of the present application provide a product delivery supply chain prediction apparatus, the apparatus comprising:
the first determining module is used for determining each subordinate provider of the core manufacturing enterprise in the manufacturing process of the target product, wherein the subordinate providers are multiple;
a generation module for generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
A second determining module, configured to determine, for each of the supply chains, a first lead time of a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise;
A third determining module for determining a second delivery time of the subordinate provider from a production database of the subordinate provider;
A fourth determination module for determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
The acquisition module is used for acquiring the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as the optimal supply chain of the target product.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory storing a computer program and a processor implementing the steps of the product delivery supply chain prediction method when the computer program is executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the product delivery supply chain prediction method.
The application has the following beneficial effects:
In the application, each subordinate provider of a core manufacturing enterprise is determined in the manufacturing process of a target product; generating a plurality of supply chains based on the core manufacturing enterprise and each subordinate provider; for each supply chain, determining a first delivery time of the core manufacturing enterprise from a production database of the core manufacturing enterprise, and determining a second delivery time from a production database of a lower-level provider, thereby avoiding manually and empirically determining the delivery times of different lower-level providers and ensuring the accuracy of the first delivery time and the second delivery time. And finally, based on the first delivery time and the second delivery time, the accuracy of the optimal supply chain is further improved by automatically calculating the delivery time of each supply chain and determining the optimal supply chain.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic block diagram of an electronic device according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for predicting a delivery supply chain of a product according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a provider relationship path according to an embodiment of the present application;
FIG. 4 is a second flow chart of a method for predicting a delivery supply chain according to an embodiment of the present application;
FIG. 5 is a third flow chart of a method for predicting a delivery supply chain according to an embodiment of the present application;
fig. 6 is a block diagram of a product delivery supply chain prediction apparatus according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Furthermore, the terms "first," "second," and the like, if any, are used merely for distinguishing between descriptions and not for indicating or implying a relative importance.
Through a great deal of researches of the inventor, the problem that in the scheme of determining the delivery time of a product delivery supply chain, the delivery time of a subordinate supplier needs to be obtained manually or obtained through artificial experience judgment, so that when the optimal supply chain is calculated, the calculated data is inaccurate, and the finally determined optimal supply chain is inaccurate is caused.
In view of the above-mentioned problems, the present embodiment provides a product delivery supply chain prediction method, apparatus, electronic device, and computer readable storage medium, which can implement forming a plurality of supply chains based on a core manufacturing enterprise and a lower-level provider, determining a first delivery time from a production database of the core manufacturing enterprise, determining a second delivery time from a production database of the lower-level provider, ensuring accuracy of acquired data, thereby determining an optimal supply chain from a plurality of supply chains, further ensuring accuracy of the optimal supply chain, and finally implementing accurate delivery of a product based on the optimal supply chain. The scheme provided in this embodiment is described in detail below.
The embodiment provides an electronic device capable of predicting a product delivery supply chain. In one possible implementation, the electronic device may be a user terminal, for example, the electronic device may be, but is not limited to, a server, a smart phone, a Personal computer (PersonalComputer, PC), a tablet, a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), a Mobile internet device (Mobile INTERNET DEVICE, MID), or the like.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the application. The electronic device 100 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
The electronic device 100 includes a product delivery supply chain prediction apparatus 110, a memory 120, and a processor 130.
The memory 120 and the processor 130 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The product delivery supply chain prediction means 110 comprises at least one software function module which may be stored in the memory 120 in the form of software or firmware (firmware) or cured in an Operating System (OS) of the electronic device 100. The processor 130 is configured to execute executable modules stored in the memory 120, such as software functional modules and computer programs included in the product delivery-based supply chain prediction device 110.
The Memory 120 may be, but is not limited to, a random access Memory (RandomAccess Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable ProgrammableRead-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable ProgrammableRead-Only Memory, EEPROM), etc. The memory 120 is configured to store a program, and the processor 130 executes the program after receiving an execution instruction.
Referring to fig. 2, fig. 2 is a flowchart of a product delivery supply chain prediction method applied to the electronic device 100 of fig. 1, and the method includes various steps described in detail below.
Step 201: in the process of determining the target product, each subordinate provider of the core manufacturing enterprise is determined.
Wherein the lower level suppliers are a plurality of.
Step 202: multiple supply chains are generated based on the core manufacturing enterprise and each subordinate provider.
Step 203: for each supply chain, a first lead time for the core manufacturing enterprise in the supply chain is determined from a production database of the core manufacturing enterprise.
Step 204: a second lead time for the subordinate provider is determined from the production database of the subordinate provider.
Step 205: the delivery time of the supply chain is determined based on the first delivery time and the second delivery time.
Step 206: and acquiring the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as the optimal supply chain of the target product.
For producing a certain target product, the constitution of the target product requires different parts, components, etc., and is exemplified: when the target product is a mobile phone, the composition of the target product comprises a display screen, a mobile phone shell, a chip, keys and the like, and the display screen, the mobile phone shell, the chip, the keys and the like need different suppliers to supply. And assembling the display screen, the mobile phone shell, the chip and the keys to obtain target products, wherein an enterprise for designing and refitting is taken as a core manufacturing enterprise, and an enterprise for producing the display screen, the mobile phone shell, the chip and the keys is taken as each subordinate provider of the core manufacturing enterprise.
The determination mode of the subordinate suppliers is specifically as follows: and (3) taking a core manufacturing enterprise as an origin, tracing all primary suppliers forward, tracing all secondary suppliers forward by taking all primary suppliers as the origin, tracing all tertiary suppliers forward by taking all secondary suppliers as the origin, and tracing the original suppliers in a circulating iteration mode. Each primary supplier, each secondary supplier, each tertiary supplier, and each primary supplier are taken as each subordinate supplier of the core manufacturing enterprise.
Multiple supply chains are built based on the core manufacturing enterprise and each of the subordinate suppliers (including primary supplier, secondary supplier, tertiary supplier, primary supplier). Wherein different types of supply chains provide different kinds of parts or pieces for the target product. Typically, steps 201 to 206 described above are used to determine the optimal supply chain among the same type of supply chains. In some special cases, steps 201 through 206 described above may also be used to determine an optimal supply chain among a plurality of different types of supply chains.
Exemplary: the primary supplier in the lower suppliers of the core manufacturing enterprises is A, the secondary suppliers of the primary supplier A are B and C, wherein B and C produce the same secondary products, and a plurality of constructed supply chains are as follows: C-A-core manufacturing enterprises and B-A-core manufacturing enterprises.
In determining the target product manufacturing process, lead times for the secondary supplier, the primary supplier, and the core manufacturer in the supply chain for the C-se:Sub>A-core manufacturer are determined. In order to determine the accuracy of the acquired datse:Sub>A, se:Sub>A first delivery time of the core manufacturing enterprise is determined from se:Sub>A production database of the core manufacturing enterprise, se:Sub>A delivery time of the primary supplier A is determined from se:Sub>A production database of the primary supplier, se:Sub>A delivery time of the secondary supplier C is determined from se:Sub>A production database of the secondary supplier, se:Sub>A sum of the delivery time of the primary supplier A and the delivery time of the secondary supplier C is taken as se:Sub>A second delivery time of se:Sub>A lower-level supplier, and se:Sub>A delivery time of se:Sub>A supply chain of the C-A-core manufacturing enterprise is finally determined.
And for the production databases of the core manufacturing enterprises and the production databases of the subordinate suppliers, the collection of inventory information, production plans and order processing information among the databases is realized through the technology of the Internet of things. The data in the production database of the core manufacturing enterprise and the production database of the subordinate suppliers are actual production data.
After acquiring data from the production database of the core manufacturing enterprise and the production database of the subordinate provider, the delivery time of the supply chain is calculated, and various calculation methods are available, and the sum of the first delivery time and the second delivery time is taken as the delivery time of the supply chain by way of example.
In a specific example: in the process of determining target product manufacturing, ase:Sub>A first delivery time of ase:Sub>A core manufacturing enterprise in ase:Sub>A supply chain, ase:Sub>A delivery time of ase:Sub>A primary supplier A and ase:Sub>A delivery time of ase:Sub>A secondary supplier B are determined according to ase:Sub>A supply chain of ase:Sub>A B-A-core manufacturing enterprise, the sum of the delivery time of the primary supplier A and the delivery time of the secondary supplier B is taken as ase:Sub>A second delivery time of ase:Sub>A lower-level supplier, and the sum of the first delivery time and the second delivery time is taken as the delivery time of the supply chain B-A-core manufacturing enterprise.
As shown in fig. 3, a vendor relationship path diagram is shown. In fig. 3, each provider includes delivery time information, provider hierarchy information, and code information of the provider. The hierarchical information of the provider is a primary provider (hierarchical 0, code l_one), a secondary provider (hierarchical 1, code l_two), a tertiary provider (hierarchical 2, code l_th), or a quaternary provider (hierarchical 3, code l_four). That is, in the circular box representing the supplier, the upper left content represents the lead time, the upper right content represents the supplier hierarchy, and the lower content represents the supplier code.
There are various ways to determine the optimal supply chain, and the supply chain corresponding to the shortest delivery time is obtained as the optimal supply chain of the target product.
In a specific example: and if the delivery time of the supply chain C-A-core manufacturing enterprise is 10 days and the delivery time of the supply chain B-A-core manufacturing enterprise is 11 days, determining that the supply chain C-A-core manufacturing enterprise is the optimal supply chain of the target product.
The algorithm for determining the optimal supply chain can be based on Dijkstra algorithm, floyd algorithm and Bellman-Ford algorithm, and the algorithm for determining the optimal supply chain is not particularly limited.
In the application, each subordinate provider of a core manufacturing enterprise is determined in the manufacturing process of a target product; generating a plurality of supply chains based on the core manufacturing enterprise and each subordinate provider; for each supply chain, determining a first delivery time of the core manufacturing enterprise from a production database of the core manufacturing enterprise, and determining a second delivery time from a production database of a lower-level provider, thereby avoiding manually and empirically determining the delivery times of different lower-level providers and ensuring the accuracy of the first delivery time and the second delivery time. And finally, based on the first delivery time and the second delivery time, the accuracy of determining the optimal supply chain is further improved by automatically calculating the delivery time of each supply chain and the optimal supply chain corresponding to the shortest delivery time, and based on the optimal supply chain, the accurate delivery of the product is realized.
In order to determine the first delivery time of the core manufacturing enterprise, with respect to the above step 203, in another embodiment of the present application, as shown in fig. 4, a product delivery supply chain prediction method is provided, which specifically includes the following steps:
Step 203-1: for each supply chain, determining a first total production duration of a target product produced by a core manufacturing enterprise and a first logistics duration of a primary secondary product constituting the target product from a production database of the core manufacturing enterprise.
Step 203-2: and taking the sum of the first total production duration and the first logistics duration as a first delivery time of a core manufacturing enterprise in a supply chain.
There are various ways to determine the first total production time for the core manufacturer to produce the target product, exemplary:
a substep A: for each supply chain, determining the design duration, the production duration and the storage duration of the target product produced by the core manufacturing enterprise from the production database of the core manufacturing enterprise.
Sub-step B: and calculating the sum of the design time, the production time and the storage time, and taking the sum as a first total production time for producing the target product of a core manufacturing enterprise.
The design time is as follows: the design of the shape, function, size, etc. of the target product is required before the target product is produced, and thus, the design duration of the target product is taken as a constituent part of the first total production duration.
After the design of the target product, production means such as assembly and processing are required for the secondary product provided by the lower-level provider based on the design of the target product, and therefore, the production duration of the target product is taken as a component of the first total production duration.
The storage duration is that the target product can be sold after the target product is stored in a warehouse and reaches the sales condition before being sold, so that the storage duration of the target product is used as a component part of the total first production duration.
The first delivery time of the target commodity, in addition to considering the first total generated time length, requires a logistic time for the delivery of the commodity, and therefore, the first logistic time length for transporting the primary secondary product between the primary supplier for producing the primary secondary product and the core manufacturing enterprise is considered, and specifically comprises the following steps:
substep C: for each supply chain, a distance between the core manufacturing enterprise and the primary supplier in the supply chain is determined from a production database of the core manufacturing enterprise.
Substep D: and determining a weight value corresponding to the distance based on the relation between the distance and the threshold value.
Substep E: the time of delivery and the time of transportation of the primary and secondary products constituting the target product are determined.
Substep D: and calculating the product of the weight value and the transportation duration.
Substep F: and calculating the sum of the product and the handover duration as a first logistics duration of the primary and secondary products forming the target product.
The article transport duration is distance dependent and the logistics time between two enterprises in the same area and two enterprises in different areas are different. Different weight values are set for different distances, so that the logistics duration of the article can be accurately determined.
When the distance between the core manufacturing enterprise and the primary supplier is smaller than the threshold value, the core manufacturing enterprise and the primary supplier are in the same area, and the weight value of the distance is between (0 and 1). When the distance between the core manufacturing enterprise and the primary supplier is greater than the threshold value, the core manufacturing enterprise and the primary supplier are indicated to be in different areas, and the weight value of the distance is a number greater than 1.
The value of the weight value is positively correlated with the distance, and when the distance between the core manufacturing enterprise and the primary supplier is larger, the weight value is larger, for example: it may be set that when the distance is 100km, the corresponding weight value is 1, and when the distance is 200km, the corresponding weight value is 2.
Because the target product is processed by taking the primary and secondary products as parts, the delivery time and the transportation time of the primary and secondary products need to be determined. And calculating the product of the weight value and the transportation time length, and calculating the sum of the product and the delivery time length as the first logistics time length of the primary and secondary products forming the target product.
By the method, the first logistics duration of the primary and secondary products can be accurately determined.
In order to determine the second delivery time of the lower level supplier, with respect to the above step 204, in another embodiment of the present application, as shown in fig. 5, there is provided a product delivery supply chain prediction method, which specifically includes the steps of:
step 204-1: for each supply chain, a delivery sub-time for the secondary product provided by each level of subordinate suppliers to produce the target product is determined.
Step 204-2: the sum of the lead times of each level of subordinate providers is determined as the second lead time of the subordinate provider.
For example, when a supply chain includes a plurality of levels of subordinate suppliers, the delivery sub-times of the subordinate suppliers are respectively determined, and the sum of the delivery sub-times is calculated, namely, the second delivery time of the subordinate supplier in the supply chain.
Determining delivery sub-times of secondary products provided by each level of subordinate suppliers for production of target products, specifically:
For any level of subordinate suppliers, determining the total sub-production duration of the subordinate suppliers for producing the corresponding secondary products; determining a sub-stream length of time to provide a secondary product to the subordinate provider; and determining the sum of the total sub-production time length and the sub-logistics time length as the delivery sub-time.
For example: the lower-level supplier supplies the display for the second-level supplier, determines the total sub-production time of the display produced by the second-level supplier, supplies the sub-logistics time of the display original for the third-level supplier of the display original, and takes the sum of the total sub-production time and the sub-logistics time as the delivery sub-time of the second-level supplier.
In the case that the target product includes a plurality of types of supply chains, calculating an optimal supply chain for each type of supply chain, respectively; determining a longest delivery time among delivery times of all types of optimal supply chains; the longest delivery time is determined as the shortest delivery time of the target product.
For example: only the core manufacturer and the different types of primary suppliers that produce different types of components are included in the supply chain. The first class suppliers comprise a first class supplier, a second class supplier and a third class supplier, and the first class supplier, the second class supplier and the third class supplier respectively produce different types of components. For example: the first type of suppliers produce X parts, the second type of suppliers produce Y parts, and the third type of suppliers produce Z parts. Assuming that the delivery time corresponding to the optimal supply chain for producing the X part is 10 days, the delivery time corresponding to the optimal supply chain for producing the Y part is 12 days, and the delivery time corresponding to the optimal supply chain for producing the Z part is 11 days, the longest delivery time is obtained as the shortest delivery time of the target product, that is, the shortest delivery time of the target product is 12 days.
Due to the improvement of the supply amount of raw materials and the improvement of the processing technology, or the condition that a lower-level supplier is newly added in the supply chain, etc., the supply chain system of the core manufacturing enterprise is in dynamic adjustment, so as to obtain an optimal supply chain with dynamic change: and under the condition that the lower suppliers are changed, returning to execute the steps from the step of determining each lower supplier of the core manufacturing enterprise to the step of acquiring the delivery time of each supply chain in the process of determining the target product, so as to update the optimal supply chain of the target product.
Referring to fig. 6, an embodiment of the present application further provides a product delivery supply chain prediction apparatus 110 applied to the electronic device 100 shown in fig. 1, where the product delivery supply chain prediction apparatus 110 includes:
A first determining module 111, configured to determine each subordinate provider of a core manufacturing enterprise in a manufacturing process of a target product, where the subordinate provider is a plurality of subordinate providers;
A generation module 112 for generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
a second determining module 113, configured to determine, for each of the supply chains, a first lead time of a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise;
A third determining module 114 for determining a second lead time of the subordinate provider from a production database of the subordinate provider;
A fourth determination module 115 for determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
and the obtaining module 116 is configured to obtain a supply chain corresponding to the shortest delivery time from among the delivery times of the supply chains, as an optimal supply chain of the target product.
Optionally, in some possible implementations, the second determining module 113 is specifically configured to:
Determining a first total production duration of the target product produced by the core manufacturing enterprise and a first logistics duration of a primary secondary product constituting the target product for each supply chain;
and taking the sum of the first total production duration and the first logistics duration as a first delivery time of the core manufacturing enterprise in the supply chain.
Optionally, in some possible implementations, the third determining module 114 is specifically configured to:
determining, for each of the supply chains, a delivery sub-time for a secondary product provided by each level of the subordinate provider for producing the target product;
and determining the sum of the delivery sub-times of the subordinate suppliers of each level as the second delivery time of the subordinate supplier.
Optionally, in some possible implementations, the third determining module 114 is specifically configured to:
For any level of the lower-level suppliers, determining the total sub-production duration of the corresponding secondary product produced by the lower-level suppliers;
determining a sub-stream length of time to provide a secondary product to the subordinate provider;
And determining the sum of the total sub-production time length and the sub-logistics time length as the delivery sub-time.
Optionally, in some possible implementations, the second determining module 112 is specifically configured to:
For each supply chain, determining the design duration, the production duration and the storage duration of the target product produced by the core manufacturing enterprise from a production database of the core manufacturing enterprise;
and calculating the sum of the design time, the production time and the storage time as a first total production time for the core manufacturing enterprise to produce the target product.
Optionally, in some possible implementations, the second determining module 112 is specifically configured to:
Determining, for each of the supply chains, a distance between a core manufacturing enterprise and a primary supplier in the supply chain from a production database of the core manufacturing enterprise;
determining a weight value corresponding to the distance based on the relation between the distance and a threshold value;
determining the delivery time and the transportation time of a primary product and a secondary product forming the target product;
calculating the product of the weight value and the transportation duration;
and calculating the sum of the product and the handover duration as a first logistics duration of the primary and secondary products forming the target product.
Optionally, in some possible implementations, the apparatus further includes: a fifth determination module 117;
the fifth determining module 117 is specifically configured to: in the case that the target product includes a plurality of types of supply chains, calculating an optimal supply chain for each type of supply chain, respectively;
determining a longest delivery time among delivery times of all types of optimal supply chains;
and determining the longest delivery time as the shortest delivery time of the target product.
Optionally, in some possible implementations, the apparatus further includes:
And the updating module 118 is configured to return to executing the step of each lower-level provider of the core manufacturer to the step of obtaining the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain in the process of determining the target product manufacturing process, so as to update the optimal supply chain of the target product.
In summary, in the present application, by determining each subordinate provider of the core manufacturing enterprise in the manufacturing process of the target product, a plurality of supply chains are generated based on the core manufacturing enterprise and each subordinate provider; for each supply chain, determining a first delivery time of the core manufacturing enterprise from a production database of the core manufacturing enterprise, and determining a second delivery time from a production database of a lower-level provider, thereby avoiding manually and empirically determining the delivery times of different lower-level providers and ensuring the accuracy of the first delivery time and the second delivery time. And finally, based on the first delivery time and the second delivery time, the accuracy of the optimal supply chain is further improved by automatically calculating the delivery time of each supply chain and determining the optimal supply chain.
The application also provides an electronic device 100, the electronic device 100 comprising a processor 130 and a memory 120. Memory 120 stores computer-executable instructions that, when executed by processor 130, implement the product delivery supply chain prediction method.
Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by the processor 130, implements the product delivery supply chain prediction method.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is merely illustrative of various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the scope of the present application, and the application is intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of product delivery supply chain prediction, the method comprising:
Determining each subordinate provider of a core manufacturing enterprise in the manufacturing process of a target product, wherein the subordinate providers are a plurality of;
generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
determining, for each of the supply chains, a first lead time for a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise;
Determining a second lead time for a subordinate provider from a production database of the subordinate provider;
determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
Acquiring a supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as an optimal supply chain of the target product; the step of determining, for each of the supply chains, a first lead time for a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise, comprises:
Determining a first total production duration of the target product produced by a core manufacturing enterprise and a first logistics duration of a primary secondary product constituting the target product from a production database of the core manufacturing enterprise for each supply chain;
and taking the sum of the first total production duration and the first logistics duration as a first delivery time of the core manufacturing enterprise in the supply chain.
2. The method of claim 1, wherein the step of determining the second lead time of the subordinate provider from a production database of the subordinate provider comprises:
determining, for each of the supply chains, a delivery sub-time for a secondary product provided by each level of the subordinate provider for producing the target product;
and determining the sum of the delivery sub-times of the subordinate suppliers of each level as the second delivery time of the subordinate supplier.
3. The method of claim 2, wherein said determining the delivery sub-time of the secondary product provided by each level of said subordinate provider for producing said target product comprises:
For any level of the lower-level suppliers, determining the total sub-production duration of the corresponding secondary product produced by the lower-level suppliers;
determining a sub-stream length of time to provide a secondary product to the subordinate provider;
And determining the sum of the total sub-production time length and the sub-logistics time length as the delivery sub-time.
4. The method of claim 1, wherein the step of determining, for each of the supply chains, a first total length of time for which the core manufacturing enterprise produces the target product from a production database of the core manufacturing enterprise, comprises:
For each supply chain, determining the design duration, the production duration and the storage duration of the target product produced by the core manufacturing enterprise from a production database of the core manufacturing enterprise;
and calculating the sum of the design time, the production time and the storage time as a first total production time for the core manufacturing enterprise to produce the target product.
5. The method of claim 1, wherein said step of determining, for each of said supply chains, a first physical distribution time period of a primary secondary product constituting said target product from a production database of a core manufacturing enterprise, comprises:
Determining, for each of the supply chains, a distance between a core manufacturing enterprise and a primary supplier in the supply chain from a production database of the core manufacturing enterprise;
determining a weight value corresponding to the distance based on the relation between the distance and a threshold value;
determining the delivery time and the transportation time of a primary product and a secondary product forming the target product;
calculating the product of the weight value and the transportation duration;
and calculating the sum of the product and the handover duration as a first logistics duration of the primary and secondary products forming the target product.
6. The method according to claim 1, wherein the method further comprises:
in the case that the target product includes a plurality of types of supply chains, calculating an optimal supply chain for each type of supply chain, respectively;
determining a longest delivery time among delivery times of all types of optimal supply chains;
and determining the longest delivery time as the shortest delivery time of the target product.
7. The method according to claim 1, wherein the method further comprises:
And returning to the step of executing each subordinate provider of the core manufacturing enterprise in the process of determining the target product to the step of acquiring the supply chain corresponding to the shortest delivery time in the delivery time of each supply chain under the condition that the subordinate provider changes so as to update the optimal supply chain of the target product.
8. A product delivery supply chain forecasting device, the device comprising:
the first determining module is used for determining each subordinate provider of the core manufacturing enterprise in the manufacturing process of the target product, wherein the subordinate providers are multiple;
a generation module for generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
A second determining module, configured to determine, for each of the supply chains, a first lead time of a core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise;
A third determining module for determining a second delivery time of the subordinate provider from a production database of the subordinate provider;
A fourth determination module for determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
the acquisition module is used for acquiring a supply chain corresponding to the shortest delivery time in the delivery time of each supply chain as an optimal supply chain of the target product;
the second determining module is specifically configured to:
Determining a first total production duration of the target product produced by a core manufacturing enterprise and a first logistics duration of a primary secondary product constituting the target product from a production database of the core manufacturing enterprise for each supply chain;
and taking the sum of the first total production duration and the first logistics duration as a first delivery time of the core manufacturing enterprise in the supply chain.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1-7.
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| CN115496366B (en) * | 2022-09-23 | 2023-12-22 | 南京简亿网络科技有限公司 | Supply chain safety evaluation optimization method and system |
| CN115953114B (en) * | 2022-11-29 | 2023-09-22 | 北京隆道网络科技有限公司 | Mining and supply enterprise map matching method and system based on supply chain management |
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