Research On Operation Mechanism Of Accurate Agile Supply Chain Based On Blockchain And Co-evolution Adaptive Bacterial Foraging Algorithm

Supply chain is a complex functional network that integrates production,procurement,sales,consumption and other aspects.It controls the circulation of product,capital,information and other factors.The diversity,complexity,and discreteness of information flow make it a key factor affecting the efficiency of supply chain operation.Meanwhile,low degree of information sharing,low information quality,and the resulting lack of trust among enterprises restrict the development of the supply chain.Inefficiency of supply chain operation due to low degree of information sharing and carries out the following researches is the focus of this thesis:Referred to the formation of five streams and information ecology,this thesis analyzes how the information ecology exerts influence on the integrated operation of the precise supply chain,and constructs a multi-MAS operational control model under the precise supply chain information ecology.Technical principles and characteristics of blockchain are analyzed and a dynamic reconstruction method of precise supply chain that driven by the blockchain mechanism is proposed in this thesis.On the basis of previous frameworks,the concept of industry chain is proposed in this thesis,and an information security mechanism is designed for the supply chain based on blockchain technology.The consistency guarantee provided by blockchain technology is utilized,new types of transactions for granting,accessing,delegating,and revoking access rights are introduced,and a blockchain-based access control framework is built for precise supply chain.By adjusting the blockchain into decentralized access control managers,retailers and enterprises can share the information while ensuring safety of the precise supply chain information ecology.Meanwhile,the blockchain-based supply chain information ecology and multi-level supply chain reconstruction is taken into consideration.The thesis aims at minimizing total cost and minimum delay delivery rate.An integrated precise supply chain reconstruction model involving raw material suppliers and semi-finished product suppliers is built.The model is based on the background of the sudden failures rise from upstream nodes,which may affect the sustainable operation of the supply chain.The total cost of the supply chain and the delayed delivery rate are measured,alternative suppliers in the industry chain are considered,and the best ones to join will be chosen,so as to restore the sustainable operation of the supply chain while meeting the requirements for supply chain costs and delayed delivery rates.Firstly,the supply chain is not able to be operated efficiently at low costs when the supply side is break down.This model makes it possible for this problem to be solved.Secondly,on the basis of the traditional standard bacterial foraging algorithm,this model adjusts the evolutionary direction of the bacteria through the co-evolution mechanism,where the effectiveness of the algorithm is verified.Thirdly,a multi-objective model of precise supply chain reconstruction by using co-evolution adaptive bacterial foraging algorithm is built in this thesis.Meanwhile,simulation experiments are carried out;and the advices on reconstruction strategies for the supply chain when being encountered with node failures are given.