CN113837476A - Product delivery supply chain prediction method and device, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The embodiment of the application provides a product delivery supply chain prediction method, a product delivery supply chain prediction device, an electronic device and a computer-readable storage medium, wherein the method comprises the following steps: determining each subordinate supplier of a core manufacturing enterprise in the manufacturing process of the target product; generating a plurality of supply chains based on the core manufacturing enterprise and each lower-level supplier; for each supply chain, determining a first lead time of the core manufacturing enterprise in the supply chain from a production database of the core manufacturing enterprise; determining a second delivery time of the subordinate supplier from a production database of the subordinate supplier; determining a delivery time for 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 times of the supply chains as the optimal supply chain of the target product. And based on the first delivery time and the second delivery time, the delivery time of each supply chain is automatically calculated, and the optimal supply chain is determined, so that the accuracy of the optimal supply chain is improved.
Description
Technical Field
The present application relates to the field of supply chain management, and in particular, to a method and an apparatus for predicting a product delivery supply chain, an electronic device, and a computer-readable storage medium.
Background
The supply chain refers to a functional network chain structure which is formed by forming intermediate products and final products from kit parts around a core manufacturing enterprise, and finally sending the products to consumers by a sales network to connect suppliers, manufacturers, distributors and end users into a whole.
Currently, in the solution for determining the product delivery supply chain of an enterprise, it is necessary to manually determine the delivery time of each subordinate supplier and the delivery time of a core manufacturing enterprise, and manually calculate the delivery time of different supply chains, so as to obtain the optimal product delivery supply chain.
Since the delivery time of each lower supplier is manually determined, the acquired delivery time of the lower supplier is deviated from the actual delivery time, and the delivery time of different supply chains is manually calculated, so that calculation errors are easy to occur, and finally the determined optimal product delivery supply chain is inaccurate.
Disclosure of Invention
The application aims to provide a product delivery supply chain prediction method, a product delivery supply chain prediction device, an electronic device 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 purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, an embodiment of the present application provides a product delivery supply chain prediction method, where the method includes:
determining a plurality of lower suppliers of a core manufacturing enterprise in the manufacturing process of the target product;
generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
for each of the supply chains, determining 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 delivery time of a subordinate supplier from a production database of the subordinate supplier;
determining a delivery time for 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 times of the supply chains as the optimal supply chain of the target product.
In an alternative embodiment, the step of determining, 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 includes:
for each supply chain, determining a first total production time length for producing the target product and a first logistics time length of a primary product and a secondary product which form the target product from a production database of a core manufacturing enterprise;
taking the sum of the first total production duration and the first logistics duration as a first lead time for the core manufacturing enterprise in the supply chain.
In an alternative embodiment, the step of determining the second delivery time of the subordinate supplier from a production database of the subordinate supplier comprises:
determining, for each of said supply chains, a delivery sub-time for a secondary product provided by each of said subordinate suppliers for producing said target product;
and determining the sum of the delivery sub-times of the lower suppliers at each stage as the second delivery time of the lower suppliers.
In an alternative embodiment of the method of the present invention,
the determining the delivery sub-time of the secondary product provided by each level of the subordinate supplier for producing the target product comprises:
for any level of the lower level supplier, determining the total sub-production time of the lower level supplier for producing the corresponding secondary product;
determining a sub-stream length for providing a secondary product to the subordinate supplier;
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 of the supply chains, a first total production duration for the core manufacturing enterprise to produce the target product from a production database of the core manufacturing enterprise includes:
for each supply chain, determining the design time, the production time and the storage time of the core manufacturing enterprise for producing the target product from a production database of the core manufacturing enterprise;
and calculating the sum of the design time length, the production time length and the storage time length to be used as a first total production time length for the core manufacturing enterprise to produce the target product.
In an alternative embodiment, the step of determining, for each of the supply chains, a first logistics length of a primary product and a secondary product constituting the target product from a production database of a core manufacturing enterprise includes:
for each supply chain, determining 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 time length of the handover and the time length of the transportation of the primary and secondary products which form the target product;
calculating the product of the weight value and the transportation time length;
and calculating the sum of the product and the cross-over time length as a first logistics time length of a primary product and a secondary product which form the target product.
In an alternative embodiment, the method further comprises:
in the case that the target product comprises multiple types of supply chains, respectively calculating an optimal supply chain of each type of supply chain;
determining the longest delivery time among the delivery times of all types of the 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 under the condition that the lower suppliers change, returning to the step of executing each lower supplier of the core manufacturing enterprise to the step of acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains in the manufacturing process of the determined target product so as to update the optimal supply chain of the target product.
In a second aspect, an embodiment of the present application provides a product delivery supply chain prediction apparatus, including:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining each lower supplier of a core manufacturing enterprise in the manufacturing process of a target product, and the lower suppliers 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 a subordinate supplier from a production database of the subordinate supplier;
a fourth determining module to determine a delivery time for the supply chain based on the first delivery time and the second delivery time;
and the acquisition module is used for acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains as the optimal supply chain of the target product.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the product delivery supply chain prediction method when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the product delivery supply chain prediction method.
The application has the following beneficial effects:
the method comprises the steps of determining each subordinate supplier 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 lower-level supplier; for each supply chain, the first delivery time of the core manufacturing enterprise is determined from the production database of the core manufacturing enterprise, the second delivery time is determined from the production database of the subordinate supplier, and the delivery time of different subordinate suppliers is prevented from being determined by human experience, so that the accuracy of the first delivery time and the second delivery time is guaranteed. And finally, based on the first delivery time and the second delivery time, the delivery time of each supply chain is automatically calculated, and the optimal supply chain is determined, so that the accuracy of the optimal supply chain is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating a method for forecasting a delivery supply chain according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a provider relationship path provided in an embodiment of the present application;
FIG. 4 is a second flowchart illustrating a method for forecasting a product delivery supply chain according to an embodiment of the present application;
FIG. 5 is a third flowchart illustrating a method for forecasting a product delivery supply chain according to an embodiment of the present invention;
fig. 6 is a block diagram illustrating a product delivery supply chain prediction apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Through a great deal of research by the inventor, in a scheme determined by a product delivery supply chain, an enterprise needs to manually obtain the delivery time of a lower-level supplier or obtain the delivery time through manual experience judgment, so that the problem that the finally determined optimal supply chain is inaccurate due to inaccurate calculation data when the optimal supply chain is calculated is caused.
In view of the above-mentioned problems, the present embodiments provide a product delivery supply chain prediction method, apparatus, electronic device and computer-readable storage medium, which can form a plurality of supply chains based on the core manufacturing enterprise and the subordinate supplier, determine a first delivery time from a production database of the core manufacturing enterprise, determine a second delivery time from a production database of the subordinate supplier, and ensure accuracy of data acquisition, thereby determining an optimal supply chain from a plurality of supply chains, further ensuring accuracy of the optimal supply chain, and finally, based on the optimal supply chain, achieve accurate delivery of a product. The scheme provided by the present embodiment is explained 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 (PC), a tablet computer, a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), and the like.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present disclosure. 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 elements of the memory 120 and the processor 130 are electrically connected to each other directly or indirectly to achieve 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 apparatus 110 includes at least one software function module which may be stored in the memory 120 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the electronic device 100. The processor 130 is used 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 (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction.
Referring to fig. 2, fig. 2 is a flowchart illustrating a product delivery supply chain prediction method applied to the electronic device 100 of fig. 1, and the method includes various steps as will be described in detail below.
Step 201: and determining each lower-level supplier of the core manufacturing enterprise in the manufacturing process of the target product.
Wherein, the lower supplier is a plurality of suppliers.
Step 202: multiple supply chains are generated based on the core manufacturing enterprise and each subordinate supplier.
Step 203: for each supply chain, a first lead time for a core manufacturing enterprise in the supply chain is determined from a production database of the core manufacturing enterprise.
Step 204: a second delivery time for the subordinate supplier is determined from a production database of the subordinate supplier.
Step 205: based on the first delivery time and the second delivery time, a delivery time for the supply chain is determined.
Step 206: and acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains as the optimal supply chain of the target product.
For producing a certain target product, the formation of the target product requires different parts, components, etc., exemplarily: when the target product is a mobile phone, the target product comprises a display screen, a mobile phone shell, a chip, a key and the like, and the display screen, the mobile phone shell, the chip, the key and the like need to be supplied by different suppliers. The method comprises the steps of assembling a display screen, a mobile phone shell, a chip and keys to obtain a target product, wherein an enterprise for designing and modifying is a core manufacturing enterprise, and an enterprise for producing the display screen, the mobile phone shell, the chip and the keys is each subordinate supplier of the core manufacturing enterprise.
The determining method of the lower-level provider specifically includes: and taking the core manufacturing enterprise as an origin, tracing each primary supplier forwards, tracing each secondary supplier forwards by taking each primary supplier as the origin, tracing each tertiary supplier forwards by taking each secondary supplier as the origin, and circularly iterating and tracing the original suppliers. The primary suppliers, the secondary suppliers, the tertiary suppliers and the original suppliers are used as the subordinate suppliers of the core manufacturing enterprise.
Multiple supply chains are built based on the core manufacturing enterprise and various subordinate suppliers (including primary supplier, secondary supplier, tertiary supplier, primary supplier). Wherein different types of supply chains provide different kinds of parts or components for the target product. Generally, the above steps 201 to 206 are used to determine the optimal supply chain in the same type of supply chain. In some special cases, the above steps 201 to 206 may also be used to determine an optimal supply chain among a plurality of different types of supply chains.
The following are exemplary: the primary supplier of the lower suppliers of the core manufacturing enterprise is A, the secondary supplier of the primary supplier A is B and C, wherein B and C produce the same secondary product, and then a plurality of supply chains are constructed: c-a-core manufacturing and B-a-core manufacturing.
And determining the delivery time of a secondary supplier, a primary supplier and a core manufacturing enterprise in the supply chain aiming at the C-A-core manufacturing enterprise in the manufacturing process of the target product. To determine the accuracy of the data obtained, a first delivery time of the core manufacturing enterprise is determined from a production database of the core manufacturing enterprise, a delivery time of a primary supplier A is determined from a production database of the primary supplier, a delivery time of a secondary supplier C is determined from a production database of the secondary supplier, the sum of the delivery time of the primary supplier A and the delivery time of the secondary supplier C is used as a second delivery time of a subordinate supplier, and finally the delivery time of a supply chain of the C-A-core manufacturing enterprise is determined.
For a production database of a core manufacturing enterprise and a production database of a subordinate supplier, 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 lower-level supplier are actual production data.
The delivery time of the supply chain is calculated by acquiring data from the production database of the core manufacturing enterprise and the production database of the lower-level supplier in various ways, and the sum of the first delivery time and the second delivery time is taken as the delivery time of the supply chain.
In one specific example: in the target product manufacturing process, aiming at a supply chain of a B-A-core manufacturing enterprise, a first delivery time of the core manufacturing enterprise in the supply chain, a first-stage supplier A delivery time and a second-stage supplier B delivery time are determined, the sum of the first-stage supplier A delivery time and the second-stage supplier B delivery time is used as a second delivery time of a lower-stage supplier, and the sum of the first delivery time and the second delivery time is used as the delivery time of the supply chain B-A-core manufacturing enterprise.
As shown in fig. 3, is a supplier relationship path diagram. In fig. 3, each supplier includes delivery time information, supplier level information, and supplier code information. The level information of the suppliers is a level one supplier (level 0, code number L _ one), a level two supplier (level 1, code number L _ two), a level three supplier (level 2, code number L _ th), or a level four supplier (level 3, code number L _ four). That is, in a circular box representing a supplier, the upper left content represents a lead time, the upper right content represents a supplier hierarchy, and the lower content represents a supplier code number.
There are various ways to determine the optimal supply chain, and an exemplary method obtains the supply chain corresponding to the shortest delivery time as the optimal supply chain of the target product.
In one specific example: and 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 the supply chain C-A-core manufacturing enterprise as the optimal supply chain of the target product.
The method for determining the optimal supply chain can be based on a Dijkstra algorithm, a Floyd algorithm and a Bellman-Ford algorithm, and the method for determining the optimal supply chain is not particularly limited in the embodiment of the method.
The method comprises the steps of determining each subordinate supplier 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 lower-level supplier; for each supply chain, the first delivery time of the core manufacturing enterprise is determined from the production database of the core manufacturing enterprise, the second delivery time is determined from the production database of the subordinate supplier, and the delivery time of different subordinate suppliers is prevented from being determined by human experience, so that the accuracy of the first delivery time and the second delivery time is guaranteed. 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 the accurate delivery of the product is realized based on the optimal supply chain.
In order to determine the first delivery time of the core manufacturing enterprise, in another embodiment of the present application, as shown in fig. 4, with respect to step 203, there is provided a product delivery supply chain forecasting method, specifically including the following steps:
step 203-1: for each supply chain, a first total production time period for the core manufacturing enterprise to produce the target product and a first logistics time period for a primary product and a secondary product constituting the target product are determined from a production database of the core manufacturing enterprise.
Step 203-2: and taking the sum of the first total production time and the first logistics time as the first delivery time of the core manufacturing enterprise in the supply chain.
There are various ways to determine the total first production time for the core manufacturing enterprise to produce the target product, and the following are exemplary:
and a substep A: and determining the design time, the production time and the storage time of the production target product of the core manufacturing enterprise from the production database of the core manufacturing enterprise aiming at each supply chain.
And a substep B: and calculating the sum of the design time, the production time and the storage time to be used as the first total production time of the core manufacturing enterprise for producing the target product.
The design duration is as follows: before the target product is produced, the shape, function, size and the like of the target product need to be designed, and therefore, the design time of the target product is taken as a component of the first total production time.
After the target product is designed, production means such as assembly, processing, and the like of a secondary product provided by a lower supplier needs to be performed based on the design of the target product, and therefore, the production time period of the target product is a component of the first total production time period.
The warehousing duration is that the target product needs to be stored in a warehouse before being sold, and the target product can be sold after the target product reaches the selling condition, so the warehousing duration of the target product is used as a component of the first total production duration.
The first delivery time of the target commodity, besides the first total generation time, the logistics time required for the transport of the commodity, therefore, the first logistics time for transporting the primary and secondary products between the primary supplier producing the primary and secondary products and the core manufacturing enterprise needs to be considered, and the method specifically comprises the following steps:
and a substep C: for each supply chain, determining the distance between the core manufacturing enterprise and the primary supplier in the supply chain from the production database of the core manufacturing enterprise.
And a substep D: and determining a weight value corresponding to the distance based on the relation between the distance and the threshold.
And a substep E: the delivery time period and the transportation time period of the primary and secondary products constituting the target product are determined.
And a substep D: and calculating the product of the weight value and the transportation time.
And a substep F: the sum of the product and the time period of the handover is calculated as the first physical distribution time period of the primary and secondary products constituting the target product.
The time length of goods transportation is related to the distance, and the time length of logistics is greatly different between two enterprises in the same area and two enterprises in different areas. Different weight values are set for different distances, and the logistics duration of the articles 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, 1). When the distance between the core manufacturing enterprise and the primary supplier is larger than the threshold value, the core manufacturing enterprise and the primary supplier are in different areas, and the weight value of the distance is a number larger than 1.
The value of the weight value is positively correlated with the distance, and the larger the distance between the core manufacturing enterprise and the first-level supplier is, the larger the weight value is, 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.
Since the target product is formed by processing a primary product and a secondary product, the transfer time and the transportation time of the primary product and the secondary product 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 handover time length as the first logistics time length of the primary and secondary products forming the target product.
By the method, the first logistics time length of the primary and secondary products can be accurately determined.
In order to determine the second delivery time of the subordinate supplier, in another embodiment of the present application, as shown in fig. 5, for step 204, a product delivery supply chain prediction method is provided, which specifically includes the following steps:
step 204-1: for each supply chain, a delivery sub-time for a secondary product provided by each level of subordinate supplier for producing the target product is determined.
Step 204-2: and determining the sum of the delivery sub-times of the lower suppliers of all levels as the second delivery time of the lower suppliers.
For example, when a plurality of levels of lower suppliers are included in a supply chain, the delivery sub-times of the lower suppliers at each level are respectively determined, and the sum of the delivery sub-times is calculated to be the second delivery time of the lower supplier in the supply chain.
Determining the delivery sub-time of the secondary product provided by the lower-level suppliers at all levels for producing the target product, specifically:
for any level of subordinate supplier, determining the total sub-production time of the subordinate supplier for producing the corresponding secondary product; determining a sub-stream length for providing a secondary product to the subordinate supplier; 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 is a second-level supplier, the second-level supplier supplies the display, the total sub-production time length for the second-level supplier to produce the display is determined, the third-level supplier supplies the original display to the second-level supplier, the sub-logistics time length of the original display is provided, and the sum of the total sub-production time length and the sub-logistics time length is used as the delivery sub-time of the second-level supplier.
In the case that the target product comprises multiple types of supply chains, respectively calculating the optimal supply chain of each type of supply chain; determining the longest delivery time among the delivery times of all types of the optimal supply chains; the longest lead time is determined as the shortest lead time for the target product.
For example: the supply chain includes only the core manufacturing enterprise and different types of primary suppliers that produce different types of components. The primary suppliers comprise a first type supplier, a second type supplier and a third type supplier, and the first type supplier, the second type supplier and the third type supplier respectively produce different types of parts. For example: the first category of suppliers produces X parts, the second category of suppliers produces Y parts, and the third category of suppliers produces Z parts. Assuming that the lead time corresponding to the optimal supply chain for producing the X parts is 10 days, the lead time corresponding to the optimal supply chain for producing the Y parts is 12 days, and the lead time corresponding to the optimal supply chain for producing the Z parts is 11 days, the longest lead time is obtained as the shortest lead time of the target product, that is, the shortest lead time of the target product is 12 days.
Due to the conditions of the improvement of the supply amount of raw materials and the improvement of the processing technology, or the addition of lower-level suppliers in the supply chain, and the like, the supply chain system of the core manufacturing enterprise is in dynamic adjustment, and in order to obtain the dynamically changed optimal supply chain: and in the case that the lower suppliers change, returning to the step of executing the step of determining each lower supplier of the core manufacturing enterprise to the step of acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains in the manufacturing process of 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 delivery supply chain prediction apparatus 110 applied to the electronic device 100 shown in fig. 1, where the delivery supply chain prediction apparatus 110 includes:
a first determining module 111, configured to determine a plurality of lower suppliers of a core manufacturing enterprise in a manufacturing process of a target product;
a generating module 112, configured to generate a plurality of supply chains based on the core manufacturing enterprise and each of the lower 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, configured to determine a second delivery time of the subordinate supplier from a production database of the subordinate supplier;
a fourth determining module 115 for determining a delivery time of the supply chain based on the first delivery time and the second delivery time;
the obtaining module 116 is configured to obtain, as the optimal supply chain of the target product, a supply chain corresponding to the shortest delivery time among the delivery times of the supply chains.
Optionally, in some possible implementation manners, the second determining module 113 is specifically configured to:
for each supply chain, determining a first total production time length of the core manufacturing enterprise for producing the target product and a first logistics time length of a primary product and a secondary product which form the target product;
taking the sum of the first total production duration and the first logistics duration as a first lead time for 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 said supply chains, a delivery sub-time for a secondary product provided by each of said subordinate suppliers for producing said target product;
and determining the sum of the delivery sub-times of the lower suppliers at each stage as the second delivery time of the lower suppliers.
Optionally, in some possible implementations, the third determining module 114 is specifically configured to:
for any level of the lower level supplier, determining the total sub-production time of the lower level supplier for producing the corresponding secondary product;
determining a sub-stream length for providing a secondary product to the subordinate supplier;
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 time, the production time and the storage time of the core manufacturing enterprise for producing the target product from a production database of the core manufacturing enterprise;
and calculating the sum of the design time length, the production time length and the storage time length to be used as a first total production time length for the core manufacturing enterprise to produce the target product.
Optionally, in some possible implementations, the second determining module 112 is specifically configured to:
for each supply chain, determining 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 time length of the handover and the time length of the transportation of the primary and secondary products which form the target product;
calculating the product of the weight value and the transportation time length;
and calculating the sum of the product and the cross-over time length as a first logistics time length of a primary product and a secondary product which form the target product.
Optionally, in some possible implementations, the apparatus further includes: a fifth determining module 117;
the fifth determining module 117 is specifically configured to: in the case that the target product comprises multiple types of supply chains, respectively calculating an optimal supply chain of each type of supply chain;
determining the longest delivery time among the delivery times of all types of the 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 an updating module 118, configured to, in a case that the lower-level provider changes, return to the step of executing each lower-level provider of the core manufacturing enterprise in the manufacturing process of the determined target product to the step of acquiring the supply chain corresponding to the shortest delivery time among the delivery times of each supply chain, so as to update the optimal supply chain of the target product.
In summary, the present application generates a plurality of supply chains by determining each lower-level supplier of the core manufacturing enterprise based on the core manufacturing enterprise and each lower-level supplier in the manufacturing process of the target product; for each supply chain, the first delivery time of the core manufacturing enterprise is determined from the production database of the core manufacturing enterprise, the second delivery time is determined from the production database of the subordinate supplier, and the delivery time of different subordinate suppliers is prevented from being determined by human experience, so that the accuracy of the first delivery time and the second delivery time is guaranteed. And finally, based on the first delivery time and the second delivery time, the delivery time of each supply chain is automatically calculated, and the optimal supply chain is determined, so that the accuracy of the optimal supply chain is further improved.
The present application further provides an electronic device 100, where the electronic device 100 includes a processor 130 and a memory 120. The memory 120 stores computer-executable instructions that, when executed by the processor 130, implement the product delivery supply chain prediction method.
Embodiments of the present application further provide a computer-readable storage medium, where the storage medium stores a computer program, and when the computer program is executed by the processor 130, the computer program 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 ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures 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 an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent 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 such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for 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 conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in 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 (11)
1. A product delivery supply chain prediction method, the method comprising:
determining a plurality of lower suppliers of a core manufacturing enterprise in the manufacturing process of the target product;
generating a plurality of supply chains based on the core manufacturing enterprise and each of the subordinate suppliers;
for each of the supply chains, determining 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 delivery time of a subordinate supplier from a production database of the subordinate supplier;
determining a delivery time for 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 times of the supply chains as the optimal supply chain of the target product.
2. The method of claim 1, wherein 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:
for each supply chain, determining a first total production time length for producing the target product and a first logistics time length of a primary product and a secondary product which form the target product from a production database of a core manufacturing enterprise;
taking the sum of the first total production duration and the first logistics duration as a first lead time for the core manufacturing enterprise in the supply chain.
3. The method of claim 1, wherein the step of determining a second delivery time for the subordinate supplier from a production database of the subordinate supplier comprises:
determining, for each of said supply chains, a delivery sub-time for a secondary product provided by each of said subordinate suppliers for producing said target product;
and determining the sum of the delivery sub-times of the lower suppliers at each stage as the second delivery time of the lower suppliers.
4. The method of claim 3, wherein said determining a sub-delivery time for each level of a secondary product provided by said subordinate supplier for production of said target product comprises:
for any level of the lower level supplier, determining the total sub-production time of the lower level supplier for producing the corresponding secondary product;
determining a sub-stream length for providing a secondary product to the subordinate supplier;
and determining the sum of the total sub-production time length and the sub-logistics time length as the delivery sub-time.
5. The method of claim 2, wherein the step of determining, for each of the supply chains, a first total production duration for the core manufacturing enterprise to produce the target product from a production database of the core manufacturing enterprise comprises:
for each supply chain, determining the design time, the production time and the storage time of the core manufacturing enterprise for producing the target product from a production database of the core manufacturing enterprise;
and calculating the sum of the design time length, the production time length and the storage time length to be used as a first total production time length for the core manufacturing enterprise to produce the target product.
6. The method of claim 2, wherein said step of determining, for each of said supply chains, a first logistics length of a primary and secondary product comprising said target product from a production database of a core manufacturing facility, comprises:
for each supply chain, determining 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 time length of the handover and the time length of the transportation of the primary and secondary products which form the target product;
calculating the product of the weight value and the transportation time length;
and calculating the sum of the product and the cross-over time length as a first logistics time length of a primary product and a secondary product which form the target product.
7. The method of claim 1, further comprising:
in the case that the target product comprises multiple types of supply chains, respectively calculating an optimal supply chain of each type of supply chain;
determining the longest delivery time among the delivery times of all types of the optimal supply chains;
and determining the longest delivery time as the shortest delivery time of the target product.
8. The method of claim 1, further comprising:
and under the condition that the lower suppliers change, returning to the step of executing each lower supplier of the core manufacturing enterprise to the step of acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains in the manufacturing process of the determined target product so as to update the optimal supply chain of the target product.
9. A product delivery supply chain prediction apparatus, the apparatus comprising:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining each lower supplier of a core manufacturing enterprise in the manufacturing process of a target product, and the lower suppliers 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 a subordinate supplier from a production database of the subordinate supplier;
a fourth determining module to determine a delivery time for the supply chain based on the first delivery time and the second delivery time;
and the acquisition module is used for acquiring the supply chain corresponding to the shortest delivery time in the delivery times of the supply chains as the optimal supply chain of the target product.
10. An electronic device, comprising a memory and a processor, the memory storing a computer program, wherein the processor, when executing the computer program, implements the steps of the method of any of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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