Research Of Algorithm In Joint Replenishment Problem Under Fuzzy Environment

Joint Replenishment Problem (JRP) has very important significance in highefficient management and cost saving fields． All kinds of unpredictable fluctuationswill appear due to the factors includes demands of the market environment and theinfluence of external conditions， and people always can’t achieve preciseexpectations． So fuzzy problems arises at the historic moment．In the fuzzy jointproblem， we take the uncertain factors as a fuzzy variable processing．The entireproblem model can be simplified into a fuzzy mathematical model， and the modelof the solution is the core problem that we need to figure out． The algorithm used tothe problem model will directly affect treatment of the problem efficiency and theoptimization results． They will ultimately affect the value of application．Firstly， JRP of fuzzy variable demand with one single supplier researchconditions is studied，to minimize the cost has been determined as the goal．All kindsof things added the best combination integer times frequency and the correspondingbasic added period length are the starting point to solve the problem． Through thestudy and reduction of fuzzy problem model， a fuzzy mathematical model as theobjective function has been got finally．Secondly， algorithm type which could solve this problem most appropriatlyhad to be found． According to the structure characteristics of the fuzzy model， thecomprehensive analysis on solving the problems related to the previous experienceand algorithms was carried out．DE algorithm and PSO algorithm which haveoutstanding characteristics in the field performance of group optimization algorithm，were taken as the research objects． Firstly the structure features of PSO algorithmwere studied． The general process of PSO algorithm was sumed up． And thenthe parameters which need to be adjusted were limited according to the specificproblem．Further treatment on the various parameters of the model was carriedout that meet the requirements of variables in PSO algorithm process; the conclusion reached by the PSO algorithm was compared with which by GA algorithm． And theperformance played by PSO algorithm in dealing with problems was evaluated．Anew test results was worked out by the way of DE algorithm under the sameconditions．After that the operation performance and optimization results of the twoalgorithm were analyzed and evaluated．And then the inner reasons was studied．Finally， the algorithm discussed was applied into practice． A stockmanagement system in adaptive ERP system was designed．The whole systemplanning design and implementation technology was discussed． Then the algorithmwas involved in the fuzzy decision-making function．...