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Research On Performance Index System And Evaluation Method Of Fast Moving Consumer Goods Supply Chain Based On Theory Of Constraint

Posted on:2019-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y J CaoFull Text:PDF
GTID:2439330572964503Subject:Logistics management
Abstract/Summary:PDF Full Text Request
Supply chain competition is a kind of system-level competition,which is a kind of deep competition with the gradual improvement of modern enterprise management level.More and more companies are aware that improving the level of supply chain management to improve their products and services is of great significance to their cost reduction.Therefore,the supply chain and its management model are becoming more and more important and urgent.Supply chain performance evaluation research is an important part of many areas of supply chain management research.Supply chain performance assessment research is an important part of many areas of supply chain management research.An evaluation model that accurately and objectively reflects supply chain performance is indispensable for guiding enterprises to conduct business management.The research on supply chain performance evaluation index system and evaluation method is of great significance to production management practice.Because the supply chain of different industries has different industry characteristics and management characteristics,the supply chain performance evaluation model is not the same.Based on the previous research,this paper attempts to establish a supply chain performance evaluation model suitable for fast moving consumer goods.To accurately reflect the performance of the FMCG industry supply chain.Rapidly moving consumer goods are products closely related to everyday life.How to accurately and objectively reflect the supply chain performance of FMCG industry and guide its supply chain improvement is an important issue.The operation of the FMCG supply chain has its own special features.Its commodity turnover speed is fast,the supply chain operates at a fast pace,and there are many node enterprises involved in the supply chain.The relationship management of node enterprises is complicated,and many node enterprises do not have The management consciousness of the overall performance of the supply chain is only to pursue its own maximum benefit,but the overall performance level of the supply chain is degraded.and the overall competitiveness of the supply chain is worse.The lack of globally optimal management awareness has also caused problems such as poor information sharing and insufficient collaboration.However,the lack of supply chain management awareness of each node enterprise also has a reasonable supply chain performance evaluation model.The lack of model makes each node enterprise unable to see the impact of its own management decisions on the overall supply chain.The supply chain performance evaluation is based on the entire supply chain system and is a systematic level evaluation method.The existing research on the supply chain performance indicator system focuses on increasing a certain dimension or individual indicator items.At present,the supply chain performance evaluation index system has many research dimensions,many levels and many indicators,but it is often difficult to reflect the entire supply from the whole system level.The performance level of the chain.So far,the TOC-based supply chain performance evaluation index system lacks the test of the degree of reflection of real values,and the evaluation method is relatively monotonous,and it is also subjective in the weight assignment of indicators.Therefore,based on the above research status,this paper has carried out the following research:A dynamic balance scorecard model based on TOC is established.This model introduces the classic performance evaluation indicators in TOC theory-effective output rate,TDD and IDD to reflect the performance of the supply chain process dimension from the system level.The TOC theory has a good performance in solving system-level problems.The entire supply chain system can be abstracted into an S-DBR system,and the final sales link is regarded as the bottleneck of the entire system,and an effective output rate is set to measure the entire supply chain process.Performance,and through the two indicators of TDD,IDD.In addition,considering the relationship management in the supply chain management of FMCG is more important,the traditional supply chain performance balance scorecard is lack of reflection on the performance of the FMCG supply chain.The supply chain dynamic balance scorecard is considered in this paper.It is more appropriate to evaluate the performance of the FMCG supply chain.This model incorporates the dynamic alliance formed by each node enterprise in the FMCG supply chain into the evaluation model,and establishes the supplier dimension to supply chain coordination capability in the indicator system.Conduct an evaluation.This paper uses BP neural network as a supply chain performance evaluation method,which enriches the evaluation method of TOC supply chain performance evaluation.Because there are a large number of supply chain performance evaluation indicators,and there is a certain non-linear relationship between them,and there are certain ambiguities and uncertainties in each index,the previous evaluation methods have to be tested in terms of reliability.Through scientific training and learning,BP neural network can find the nonlinear mapping relationship between input and output,which compensates for the shortcomings of previous evaluation methods to some extent.In addition,the index importance ranking of the BP neural network algorithm output can also verify the appropriateness of the three indicators of effective output rate,TDD and IDD.
Keywords/Search Tags:FMCG, supply chain performance evaluation, Theory of constraints, BP neural network
PDF Full Text Request
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