CN114742492A - Method and system for decision-making of upper and lower-level inventory in supply chain - Google Patents
Method and system for decision-making of upper and lower-level inventory in supply chain Download PDFInfo
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Abstract
The invention discloses a method and a system for decision-making of upper and lower stocks in a supply chain, which are used for obtaining a first predetermined stock decision-making scheme; performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; obtaining a second decision influence parameter evaluation result according to the first market environment acquisition information; performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision influence parameter evaluation result, the second decision influence parameter evaluation result and the third decision influence parameter evaluation result into an inventory decision model to obtain a first output result; obtaining a second predetermined inventory decision scheme according to the first output result; inventory decision management is performed via a second predetermined inventory decision scheme. The method solves the technical problem that the performance and stability of the supply chain are reduced due to the fact that market and superior and inferior factors cannot be well evaluated in the process of making superior and inferior inventory decisions of the supply chain in the prior art.
Description
Technical Field
The invention relates to the relevant field of inventory decision management, in particular to a method and a system for upper and lower inventory decision of a supply chain.
Background
The supply chain inventory management refers to the steps of forecasting and supplying demands according to the cooperation degree of enterprises at each node of a supply chain, and identifying, relieving and controlling the generated uncertain risks by balanced utilization of resources such as clients, production, transportation and the like.
However, in the process of implementing the technical scheme of the invention in the application, the technology at least has the following technical problems:
in the prior art, the technical problem that the performance and stability of a supply chain are reduced due to the fact that market and superior and inferior factors cannot be well evaluated exists in the process of making superior and inferior inventory decisions of the supply chain.
Disclosure of Invention
The method and the system for decision-making of the upper and lower stocks of the supply chain solve the technical problem that in the process of decision-making of the upper and lower stocks of the supply chain, market and upper and lower factors cannot be well evaluated to cause performance and stability of the supply chain to be reduced in the prior art, achieve deep analysis of decision-making influence parameters in the upper and lower supply chains, combine the market influence parameters to perform intelligent inventory decision-making scheme adjustment, and further achieve the technical effect of improving performance and stability of the supply chain.
In view of the above problems, the present application provides a method and system for decision-making of upper and lower levels of inventory in a supply chain.
In a first aspect, the present application provides a method for upper and lower level inventory decision-making in a supply chain, the method comprising: obtaining a first predetermined inventory decision scheme; obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result; obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model; adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme; and carrying out inventory decision management through the second predetermined inventory decision scheme.
In another aspect, the present application further provides a system for high-level and low-level inventory decision-making in a supply chain, where the system includes: a first obtaining unit for obtaining a first predetermined inventory decision scheme; the second obtaining unit is used for obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; the third obtaining unit is used for obtaining first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to obtain a second decision influence parameter evaluation result; a fourth obtaining unit, configured to obtain second basic information of a second-level supply chain, perform decision impact parameter evaluation according to the second basic information, and obtain a third decision impact parameter evaluation result; a first input unit, configured to input the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result, and the third decision-making influence parameter evaluation result into an inventory decision model, so as to obtain a first output result of the inventory decision model; a fifth obtaining unit, configured to adjust the first predetermined inventory decision scheme according to the first output result, so as to obtain a second predetermined inventory decision scheme; a first management unit for inventory decision management by the second predetermined inventory decision scheme.
In a third aspect, the present invention provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
due to the adoption of the scheme for obtaining the first predetermined inventory decision; obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result; obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model; adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme; and performing inventory decision management through the second predetermined inventory decision scheme to achieve the technical effects of performing deep analysis on decision-making influence parameters in an upper-level supply chain and a lower-level supply chain, and performing intelligent inventory decision scheme adjustment by combining market influence parameters, thereby improving the performance and stability of the supply chain.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a method for decision-making of upper and lower levels of inventory in a supply chain according to the present application;
fig. 2 is a schematic flow chart of a method for upper and lower inventory decisions in a supply chain according to the present application for obtaining an evaluation result of the third decision-making influence parameter;
FIG. 3 is a schematic flow chart illustrating a refinement of the evaluation result of the third decision influencing parameter obtained by the method for making upper and lower inventory decisions in the supply chain according to the present application;
FIG. 4 is a schematic flow chart illustrating the timing of the second predetermined inventory decision-making scheme according to the method of the present application for upper and lower inventory decision-making in the supply chain;
FIG. 5 is a schematic diagram of a system for upper and lower inventory decision making in a supply chain according to the present application;
fig. 6 is a schematic structural diagram of an electronic device according to the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first input unit 15, a fifth obtaining unit 16, a first managing unit 17, an electronic device 50, a processor 51, a memory 52, an input device 53, and an output device 54.
Detailed Description
The method and the system for decision-making of the upper and lower stocks of the supply chain solve the technical problem that in the process of decision-making of the upper and lower stocks of the supply chain, market and upper and lower factors cannot be well evaluated to cause performance and stability of the supply chain to be reduced in the prior art, achieve deep analysis of decision-making influence parameters in the upper and lower supply chains, combine the market influence parameters to perform intelligent inventory decision-making scheme adjustment, and further achieve the technical effect of improving performance and stability of the supply chain. Embodiments of the present application are described below with reference to the accompanying drawings. As can be appreciated by those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solutions provided in the present application are also applicable to similar technical problems.
The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances and are merely descriptive of the various embodiments of the application and how objects of the same nature can be distinguished. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Summary of the application
The supply chain inventory management refers to the steps of forecasting and supplying demands according to the cooperation degree of enterprises at each node of a supply chain, and identifying, relieving and controlling the generated uncertain risks by balanced utilization of resources such as clients, production, transportation and the like. However, in the prior art, in the process of making the upper and lower inventory decisions of the supply chain, the market and upper and lower factors cannot be well evaluated, so that the performance and stability of the supply chain are reduced.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides a method for upper and lower inventory decision-making of a supply chain, which comprises the following steps: obtaining a first predetermined inventory decision scheme; obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result; obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model; adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme; and carrying out inventory decision management through the second predetermined inventory decision scheme.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for decision-making of upper and lower levels of inventory in a supply chain, the method comprising:
step S100: obtaining a first predetermined inventory decision scheme;
step S200: obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result;
specifically, in the process of decision-making management of upper and lower levels of inventory in a supply chain, basic supply chain information is read first, and according to the reading result of the supply chain information, preset inventory decision-making scheme information before decision-making adjustment of the supply chain is obtained, wherein the preset inventory decision-making scheme information comprises current inventory information, inventory information of upper and lower levels of inventory, and calling/demand information (comprising demand quantity and demand time) of the upper and lower levels of inventory. Through the calling of the first preset inventory decision-making scheme, basic data support is provided for the follow-up correction of the inventory calling scheme.
Further, the first-level supply chain is a demand-side/sales-side supply chain, that is, a downstream supply chain end, the first basic information includes historical demand/sales information of the first-level supply chain and current/recent sales trend prediction information, according to the first basic information, consistency evaluation of supply quantity/supply time of the first-level supply chain and expected supply is performed, and according to an evaluation result, an evaluation result of the first decision impact parameter is obtained. By evaluating the first decision-making influence parameter, accurate inventory decision-making subsequently provides data support.
Step S300: acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result;
step S400: obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result;
specifically, the first market environment acquisition information is market quotation information of a current inventory product, namely, market quotation and subsequent market development analysis in the current stage are performed through big data research, variable influence factors in historical analysis data are used as influence factors for predicting subsequent market development, market change prediction in a short term is performed, decision influence result evaluations such as production quantity, production calling time and the like of inventory allocation/inventory are obtained according to the current market environment information and the prediction result of the short term market, and the second decision influence parameter evaluation result is obtained.
Further, the second-level supply chain is an upper-level supply chain, i.e., a production end of a product. The second basic information comprises production efficiency information of a production end, current production state information, price change information of production raw materials and the like, the change of time, supply quantity and supply price of subsequent product supply of a supply chain is evaluated according to the second basic information, and a third decision influence parameter evaluation result is obtained according to the evaluation result and the preset supply deviation. And through the acquisition of the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result, data support is provided for subsequent inventory decisions, and the intelligence accuracy of the inventory decisions is further improved.
Step S500: inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model;
step S600: adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme;
step S700: and carrying out inventory decision management through the second predetermined inventory decision scheme.
Specifically, the inventory decision model is a neural network model in machine learning, the inventory decision model is obtained through a large number of training data and testing data training tests, the training data and the testing data are essentially the same type of data, namely, the training data and the testing data are obtained through distribution according to a preset training and testing proportion, each group of data in the training or testing data comprises basic data serving as input information and identification information serving as supervision data, and each group of the basic data comprises the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result. And when the inventory decision model is constructed to meet the expected accuracy, inputting the first decision influence parameter evaluation result, the second decision influence parameter evaluation result and the third decision influence parameter evaluation result into the inventory decision model to obtain a first output result of the inventory decision model, adjusting the first preset inventory decision scheme based on the first output result to obtain a second preset inventory decision scheme, and performing inventory decision management through the second preset inventory decision scheme. The method achieves the technical effects of carrying out deep analysis on decision-making influence parameters in an upper-level supply chain and a lower-level supply chain, combining market influence parameters, carrying out intelligent inventory decision-making scheme adjustment, and further improving the performance and stability of the supply chain.
Further, as shown in fig. 2, step S400 of the present application further includes:
step S410: obtaining current inventory information of the second-level supply chain, and taking the current inventory information as a first identification parameter;
step S420: obtaining raw material price change information, and taking the raw material price change information as a second identification parameter;
step S430: performing decision influence parameter estimation based on the first identification parameter and the second identification parameter to obtain a first estimation result;
step S440: and obtaining the evaluation result of the third decision influence parameter according to the first estimation result.
Specifically, the current inventory information is the total inventory information of all manufacturers in the second-level supply chain, the inventory information of each manufacturer is called under the permission of each manufacturer, the current inventory information is obtained according to the calling result, and the first identification parameter is obtained according to the inventory of the current inventory information.
Further, to obtain the raw material information required for producing the product, generally, the raw material is divided into a main raw material and an auxiliary raw material, and only the main raw material and the auxiliary raw material having a relatively high price are analyzed. And analyzing the price trend of the raw materials through the determined main raw materials and auxiliary raw materials, evaluating the price change of the raw materials based on the analysis result of the price trend, and obtaining the second identification parameters based on the evaluation result. Further, the production efficiency information of each manufacturer is used as a third identification parameter, and the evaluation of the inventory supply decision-making influence parameter in the second-level supply chain is performed based on the first identification parameter, the second identification parameter and the third identification parameter, so as to obtain the evaluation result of the third decision-making influence parameter. By acquiring the first identification parameter, the second identification parameter and the third identification parameter, the current inventory, price change and production efficiency are comprehensively considered, data support is provided for subsequent inventory decision, and the technical effect of more scientific and accurate subsequent inventory decision is achieved.
Further, as shown in fig. 3, step S440 of the present application further includes:
step S441: obtaining production history information of the second-level supply chain;
step S442: carrying out production stability evaluation on the production history information to obtain a first stability evaluation result;
step S443: obtaining current production parameters of the second supply chain;
step S444: performing the current production parameter pre-estimation correction according to the first stability evaluation result to obtain a first correction result;
step S445: and obtaining the third decision influence evaluation parameter according to the first correction result and the first estimation result.
Specifically, the production history information is the historical production records of each processing manufacturer in the second-level supply chain, that is, all the history information of the current product production. The history information includes predetermined demand parameter information, actual production parameter information, predetermined time parameter information, supply parameter information, predetermined production quality information, actual production yield information, and the like. And performing stability evaluation on production of manufacturers of the second-level supply chain based on various parameters in the production history information by acquiring the production history information to obtain a first stability evaluation result.
Further, the method includes distributing predetermined weight values to an actual completion quantity parameter, an actual completion time parameter, and a production quality parameter, obtaining a first stability evaluation parameter by combining various evaluation parameters based on a distribution result of the weight values, performing estimation and correction on a current production parameter by the first stability evaluation parameter to obtain a first correction result, and obtaining a third decision influence evaluation parameter based on the first correction result and the first estimation result. Through the evaluation of the production stability, the evaluation data of the evaluation parameters influenced by the third decision are more comprehensive, and further a foundation is laid for the follow-up obtaining of more accurate and intelligent decision information.
Further, as shown in fig. 4, step S700 of the present application further includes:
step S710: obtaining first feed stream information;
step S720: obtaining a first mobilization delay time according to the first supply logistics information;
step S730: obtaining historical supply information of a first historical supply logistics, and obtaining a logistics supply influence coefficient according to the historical supply information;
step S740: time adjustment of the second predetermined inventory decision scheme is made based on the first mobilization delay time and the logistics supply impact factor.
Specifically, the first supply logistics information is logistics information of the second-level supply chain for supplying products to the first-level supply chain, and the first supply logistics information comprises supply time and supply amount information of logistics. And obtaining the mobilization delay time of the product, namely the first mobilization delay time according to the first supply material flow information. And obtaining the historical supply information according to the first supply physical distribution information, and obtaining the physical distribution supply influence coefficient according to the supply time, the supply efficiency and the supply delay condition of the historical supply physical distribution. And adjusting the supply time of the second inventory decision scheme through the first transfer delay time and the logistics supply influence coefficient so as to ensure the on-time delivery of the product and avoid the shortage of the product.
Further, step S500 of the present application further includes:
step S510: obtaining a first data set, wherein each set of data in the first data set comprises the first decision-making impact parameter evaluation result, the second decision-making impact parameter evaluation result, and the third decision-making impact parameter evaluation result;
step S520: obtaining a second data set, wherein data in the second data set has a one-to-one correspondence relationship with each group of data in the first data set, and the data of the second data set is identification data identifying an inventory adjustment result;
step S530: building the inventory decision model based on the first data set and the second data set.
In particular, the first data set is an input data set of training data, the second data set is a supervised data set of training data, each set of data in the first set of data comprises the first decision influencing parameter evaluation result, the second decision influencing parameter evaluation result, the third decision influencing parameter evaluation result, the data in the second data set has a one-to-one correspondence with each set of data in the first data set, i.e., each set of input data has supervisory data corresponding thereto, input the input data into the inventory decision model, and performing supervised learning of the inventory decision model through the supervised data corresponding to the input data, and finishing training of the inventory decision model after finishing training of the supervised data in the first data set and the corresponding supervised data in the second data set.
Further, the trained model is tested through test data, a test result threshold value of the test is set, and when the output result of the inventory decision model meets the test result threshold value, the training of the inventory decision model is completed. Through supervision and learning, the inventory decision-making model has better judgment power to carry out inventory decision-making judgment, and further lays a foundation for accurately outputting an inventory decision-making method.
Further, step S800 of the present application further includes:
step S810: obtaining a first feedback evaluation parameter of the second predetermined inventory decision scheme;
step S820: obtaining a first decision factor of the second predetermined inventory decision scheme according to the first feedback evaluation parameter;
step S830: after the first decision factor is identified based on the first feedback evaluation parameter, a first correction parameter is obtained;
step S840: and performing the correction of the inventory decision model based on the first correction parameter.
Specifically, after the second inventory decision-making scheme is executed, effect supervision of a subsequent execution scheme is performed, and the first feedback evaluation parameter is obtained according to a subsequent supervision result of the execution of the scheme, wherein the first feedback evaluation parameter represents an execution effect of the current inventory decision-making scheme. And when the performance of the second predetermined inventory decision scheme does not meet the expected inventory decision effect threshold, determining a decisive influence parameter which causes feedback evaluation parameter evaluation abnormity in a plurality of influence factors according to the evaluation result of the execution effect, namely the first decision factor. And identifying the first decision factor through the first feedback evaluation parameter, and obtaining the first correction parameter according to an identification result. And based on the first correction parameter, performing feedback correction of the first decision factor on the inventory decision model, so that the inventory decision model is optimized more, and the technical effect of accurate inventory decision is further achieved.
Further, step S900 of the present application further includes:
step S910: obtaining a first decision preference impact parameter;
step S920: adjusting the second predetermined inventory decision-making scheme based on the first decision preference impact parameter to obtain a third predetermined inventory decision-making scheme;
step S930: performing inventory decision management based on the third predetermined inventory decision plan.
Specifically, the first decision preference influence parameter is an interference influence parameter of the user, that is, a bias influence of a conservative decision or a non-conservative decision of the inventory allocation decision process performed on the user. For example, when the inventory decision is to perform inventory replenishment, i.e., the binning process, the first decision preference impact parameter is a preference impact on the amount of replenished inventory. And after the second predetermined inventory decision-making scheme is obtained, adjusting the second predetermined inventory decision-making scheme according to the set first decision preference influence parameter to obtain a third predetermined inventory decision-making scheme. And performing inventory decision management based on the third inventory decision scheme.
In summary, the method and system for upper and lower level inventory decision in a supply chain provided by the present application have the following technical effects:
1. due to the adoption of the scheme for obtaining the first predetermined inventory decision; obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result; obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model; adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme; and inventory decision management is carried out through the second predetermined inventory decision scheme, so that the deep analysis of decision-making influence parameters in an upper and lower supply chain is realized, the intelligent inventory decision scheme adjustment is carried out by combining market influence parameters, and the technical effects of improving the performance and stability of the supply chain are further realized.
2. Due to the adoption of the acquisition of the first identification parameter, the second identification parameter and the third identification parameter, the current inventory, the price change and the production efficiency are comprehensively considered, data support is provided for the follow-up inventory decision, and the technical effect of more scientific and accurate follow-up inventory decision is realized.
3. Due to the fact that the stability of production is evaluated, evaluation data of the third decision influence evaluation parameters are more comprehensive, and a basis is provided for subsequently obtaining more accurate and intelligent decision information tamping.
4. Due to the fact that supervised learning is adopted, the inventory decision-making model has better judgment power to carry out inventory decision-making judgment, and the basis is tamped for an accurate output inventory decision-making method.
Example two
Based on the same inventive concept as the method for making the upper and lower inventory decisions of the supply chain in the foregoing embodiment, the present invention further provides a system for making the upper and lower inventory decisions of the supply chain, as shown in fig. 5, where the system includes:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain a first predetermined inventory decision scheme;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first basic information of a first-level supply chain, and perform decision-making influence parameter evaluation according to the first basic information to obtain a first decision-making influence parameter evaluation result;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain first market environment acquisition information, perform decision impact parameter evaluation according to the first market environment acquisition information, and obtain a second decision impact parameter evaluation result;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain second basic information of a second-level supply chain, perform decision impact parameter evaluation according to the second basic information, and obtain a third decision impact parameter evaluation result;
a first input unit 15, where the first input unit 15 is configured to input the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result, and the third decision-making influence parameter evaluation result into an inventory decision model, and obtain a first output result of the inventory decision model;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to adjust the first predetermined inventory decision scheme according to the first output result, so as to obtain a second predetermined inventory decision scheme;
a first management unit 17, said first management unit 17 being configured to perform inventory decision management by said second predetermined inventory decision scheme.
Further, the system further comprises:
a sixth obtaining unit, configured to obtain current inventory information of the second-level supply chain, where the current inventory information is used as a first identification parameter;
a seventh obtaining unit, configured to obtain material price variation information, where the material price variation information is used as a second identification parameter;
an eighth obtaining unit, configured to perform decision-making influence parameter estimation based on the first identification parameter and the second identification parameter, and obtain a first estimation result;
a ninth obtaining unit, configured to obtain the third decision-making impact parameter evaluation result according to the first estimation result.
Further, the system further comprises:
a tenth obtaining unit for obtaining production history information of the second-level supply chain;
an eleventh obtaining unit, configured to perform production stability evaluation on the production history information, and obtain a first stability evaluation result;
a twelfth obtaining unit for obtaining current production parameters of the second level supply chain;
a thirteenth obtaining unit, configured to perform pre-estimation correction on the current production parameter according to the first stability evaluation result, so as to obtain a first correction result;
a fourteenth obtaining unit, configured to obtain the third decision impact evaluation parameter according to the first correction result and the first estimation result.
Further, the system further comprises:
a fifteenth obtaining unit for obtaining first feed stream information;
a sixteenth obtaining unit configured to obtain a first mobilization delay time based on the first feed stream information;
a seventeenth obtaining unit configured to obtain historical supply information of the first historical supply physical distribution, and obtain a physical distribution supply influence coefficient according to the historical supply information;
a first adjustment unit for performing a time adjustment of the second predetermined inventory decision scheme based on the first mobilization delay time and the logistics supply impact coefficient.
Further, the system further comprises:
an eighteenth obtaining unit, configured to obtain a first data set, where each set of data in the first data set includes the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result, and the third decision-making influence parameter evaluation result;
a nineteenth obtaining unit, configured to obtain a second data set, where data in the second data set and each group of data in the first data set have a one-to-one correspondence relationship, and the data in the second data set is identification data that identifies an inventory adjustment result;
a twentieth obtaining unit for conducting a build of the inventory decision model based on the first set of data and the second set of data.
Further, the system further comprises:
a twenty-first obtaining unit for obtaining a first feedback evaluation parameter of the second predetermined inventory decision scheme;
a twenty-second obtaining unit for obtaining a first determinant of the second predetermined inventory decision scheme from the first feedback evaluation parameter;
a twenty-third obtaining unit, configured to obtain a first correction parameter after identifying the first decision factor based on the first feedback evaluation parameter;
a first modification unit for modifying the inventory decision model based on the first modification parameter.
Further, the system further comprises:
a twenty-fourth obtaining unit for obtaining a first decision preference impact parameter;
a twenty-fifth obtaining unit, configured to perform adjustment on the second predetermined inventory decision scheme based on the first decision preference influence parameter, to obtain a third predetermined inventory decision scheme;
a second management unit for inventory decision management based on the third predetermined inventory decision scheme.
Various variations and specific examples of the method for decision making on inventory of upper and lower levels of the supply chain in the first embodiment of fig. 1 are also applicable to the system for decision making on inventory of upper and lower levels of the supply chain in the present embodiment, and through the foregoing detailed description of the method for decision making on inventory of upper and lower levels of the supply chain, a method for implementing the system for decision making on inventory of upper and lower levels of the supply chain in the present embodiment can be clearly known to those skilled in the art, so for the sake of brevity of description, detailed descriptions thereof are omitted here.
Exemplary electronic device
The electronic device of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to the present application.
The invention further provides an electronic device based on the inventive concept of a method for upper and lower inventory decision making in a supply chain in the foregoing embodiment, and the electronic device according to the present application is described below with reference to fig. 6. The electronic device may be a removable device itself or a stand-alone device independent thereof, on which a computer program is stored which, when being executed by a processor, carries out the steps of any of the methods as described hereinbefore.
As shown in fig. 6, the electronic device 50 includes one or more processors 51 and a memory 52.
The processor 51 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 50 to perform desired functions.
The memory 52 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by the processor 51 to implement the methods of the various embodiments of the application described above and/or other desired functions.
In one example, the electronic device 50 may further include: an input device 53 and an output device 54, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The embodiment of the invention provides a method for making upper and lower-level inventory decisions in a supply chain, which comprises the following steps: obtaining a first predetermined inventory decision scheme; obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result; acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result; obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result; inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision-making model to obtain a first output result of the inventory decision-making model; adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme; and carrying out inventory decision management through the second predetermined inventory decision scheme. The technical problem that in the prior art, market and superior and inferior factors cannot be well evaluated in the process of making superior and inferior inventory decisions of a supply chain, so that the performance and stability of the supply chain are reduced is solved, the deep analysis of decision-making influence parameters in the superior and inferior supply chains is realized, the market influence parameters are combined, the intelligent inventory decision-making scheme adjustment is carried out, and the technical effect of improving the performance and stability of the supply chain is further realized.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be substantially embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk of a computer, and includes several instructions for causing a computer device to execute the method according to the embodiments of the present application.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the procedures or functions described in accordance with the present application are generated, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transferred from a computer-readable storage medium to another computer-readable storage medium, which may be magnetic (e.g., floppy disks, hard disks, tapes), optical (e.g., DVDs), or semiconductor (e.g., Solid State Disks (SSDs)), among others.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic, and should not constitute any limitation to the implementation process of the present application.
Additionally, the terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that in this application, "B corresponding to A" means that B is associated with A, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A method for decision making on-level and off-level inventory in a supply chain, the method comprising:
obtaining a first predetermined inventory decision scheme;
obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result;
acquiring first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to acquire a second decision influence parameter evaluation result;
obtaining second basic information of a second-level supply chain, and performing decision influence parameter evaluation according to the second basic information to obtain a third decision influence parameter evaluation result;
inputting the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result and the third decision-making influence parameter evaluation result into an inventory decision model to obtain a first output result of the inventory decision model;
adjusting the first predetermined inventory decision scheme according to the first output result to obtain a second predetermined inventory decision scheme;
and carrying out inventory decision management through the second predetermined inventory decision scheme.
2. The method of claim 1, wherein the method further comprises:
obtaining current inventory information of the second-level supply chain, and taking the current inventory information as a first identification parameter;
obtaining raw material price change information, and using the raw material price change information as a second identification parameter;
performing decision influence parameter estimation based on the first identification parameter and the second identification parameter to obtain a first estimation result;
and obtaining the evaluation result of the third decision influence parameter according to the first estimation result.
3. The method of claim 2, wherein the method comprises:
obtaining production history information of the second-level supply chain;
carrying out production stability evaluation on the production history information to obtain a first stability evaluation result;
obtaining current production parameters of the second supply chain;
performing the current production parameter pre-estimation correction according to the first stability evaluation result to obtain a first correction result;
and obtaining the third decision influence evaluation parameter according to the first correction result and the first estimation result.
4. The method of claim 1, wherein the method comprises:
obtaining first feed stream information;
obtaining a first mobilization delay time according to the first supply logistics information;
obtaining historical supply information of a first historical supply logistics, and obtaining a logistics supply influence coefficient according to the historical supply information;
time adjustment of the second predetermined inventory decision scheme is made based on the first mobilization delay time and the logistics supply impact factor.
5. The method of claim 1, wherein the method comprises:
obtaining a first data set, wherein each set of data in the first data set comprises the first decision-making impact parameter evaluation result, the second decision-making impact parameter evaluation result, and the third decision-making impact parameter evaluation result;
obtaining a second data set, wherein data in the second data set has a one-to-one correspondence relationship with each group of data in the first data set, and the data of the second data set is identification data identifying an inventory adjustment result;
building the inventory decision model based on the first data set and the second data set.
6. The method of claim 1, wherein the method comprises:
obtaining a first feedback evaluation parameter of the second predetermined inventory decision scheme;
obtaining a first decision factor of the second predetermined inventory decision scheme according to the first feedback evaluation parameter;
after the first decision factor is identified based on the first feedback evaluation parameter, a first correction parameter is obtained;
and performing the correction of the inventory decision model based on the first correction parameter.
7. The method of claim 1, wherein the method comprises:
obtaining a first decision preference impact parameter;
adjusting the second predetermined inventory decision-making scheme based on the first decision preference impact parameter to obtain a third predetermined inventory decision-making scheme;
performing inventory decision management based on the third predetermined inventory decision plan.
8. A system for decision making on inventory at a lower level in a supply chain, the system comprising:
a first obtaining unit for obtaining a first predetermined inventory decision scheme;
the second obtaining unit is used for obtaining first basic information of a first-level supply chain, and performing decision influence parameter evaluation according to the first basic information to obtain a first decision influence parameter evaluation result;
the third obtaining unit is used for obtaining first market environment acquisition information, and performing decision influence parameter evaluation according to the first market environment acquisition information to obtain a second decision influence parameter evaluation result;
a fourth obtaining unit, configured to obtain second basic information of a second-level supply chain, perform decision impact parameter evaluation according to the second basic information, and obtain a third decision impact parameter evaluation result;
a first input unit, configured to input the first decision-making influence parameter evaluation result, the second decision-making influence parameter evaluation result, and the third decision-making influence parameter evaluation result into an inventory decision model, so as to obtain a first output result of the inventory decision model;
a fifth obtaining unit, configured to adjust the first predetermined inventory decision-making scheme according to the first output result, so as to obtain a second predetermined inventory decision-making scheme;
a first management unit for inventory decision management by the second predetermined inventory decision scheme.
9. An electronic device comprising a processor and a memory; the memory is used for storing; the processor is used for executing the method of any one of claims 1 to 7 through calling.
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| CN202210229220.6A CN114742492A (en) | 2022-03-09 | 2022-03-09 | Method and system for decision-making of upper and lower-level inventory in supply chain |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345585A (en) * | 2022-08-16 | 2022-11-15 | 清华大学苏州汽车研究院（吴江） | Supply chain intelligent management system for enterprise operation |
| CN117252400A (en) * | 2023-11-16 | 2023-12-19 | 天津马上好车信息技术股份有限公司 | Coordination management method, system and application of automobile supply chain |
| CN117670154A (en) * | 2024-01-31 | 2024-03-08 | 青岛创新奇智科技集团股份有限公司 | Supply chain management method, system and equipment based on decision-making big model |
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2022
- 2022-03-09 CN CN202210229220.6A patent/CN114742492A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345585A (en) * | 2022-08-16 | 2022-11-15 | 清华大学苏州汽车研究院（吴江） | Supply chain intelligent management system for enterprise operation |
| CN117252400A (en) * | 2023-11-16 | 2023-12-19 | 天津马上好车信息技术股份有限公司 | Coordination management method, system and application of automobile supply chain |
| CN117252400B (en) * | 2023-11-16 | 2024-02-23 | 天津马上好车信息技术股份有限公司 | Coordination management method, system and application of automobile supply chain |
| CN117670154A (en) * | 2024-01-31 | 2024-03-08 | 青岛创新奇智科技集团股份有限公司 | Supply chain management method, system and equipment based on decision-making big model |
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