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面向大宗商品电子批发市场的物流仓库和配送中心选址及车辆运输优化问题研究

摘要第5-7页
Abstract第7-9页
Abbreviations第14-15页
1 Introduction第15-64页
    1.1 Problem analysis第20-31页
    1.2 The purpose and significance of research第31-36页
        1.2.1 Purpose of research第31-35页
        1.2.2 Significance of research第35-36页
    1.3 Domestic and foreign research第36-57页
        1.3.1 Summary of Domestic Research第36-42页
        1.3.2 Summary of Foreign Studies第42-57页
    1.4 Research Process第57-58页
    1.5 Method Employed and Data Collection第58-60页
    1.6 Structure of the thesis第60-63页
    Summary第63-64页
2 Application of MILP and fuzzy method in the location problem第64-91页
    2.1 Model formulations under demand uncertainty第66-80页
        2.1.1 Model Assumptions第67页
        2.1.2 Model objective第67-70页
        2.1.3 Model Indexes, Parameters, and Variables第70-75页
        2.1.4 Model constraints第75-80页
    2.2 Multi-objective optimization with uncertain demands第80-83页
    2.3 Warehouse location model under electronic commerce第83-86页
    2.4 Logistic location model under comprehensive evaluation第86-87页
    2.5 Research on Logistic Location model and Fuzzy Comprehensive Evaluation第87-89页
        2.5.1 Multi objective under fuzzy goal第87-89页
    Summary第89-91页
3 A Multi-Population Particle Swarm Algorithm for Multi-objective VehicleTransportation Problem第91-100页
    3.1 The model of multi-objective programming of vehicle transportation第91-94页
    3.2 The method of non-inferior solution第94-97页
        3.2.1 The definition of non-inferior solution第94-95页
        3.2.2 Fitness function Fit(x)第95-96页
        3.2.3 Constraint handling第96-97页
    3.3 Multi-Population Particle Swarm Algorithm with random parameters第97-99页
    Summary第99-100页
4 Model Simulation and Case Study第100-139页
    4.1 Background of the case第100-107页
    4.2 Case Introduction第107-113页
    4.3 Solving by the method of mixed-integer linear program (MILP)第113-121页
    4.4 Solving with fuzzy method第121-127页
    4.5 Results of the multi-objective vehicle transportation problem第127-129页
    4.6 Establishment of e-commerce logistics optimization system第129-137页
    Summary第137-139页
5 Conclusion & Future Research第139-146页
    5.1 Conclusion第139-144页
    5.2 Future research第144-146页
References第146-156页
Achievements during the Ph.D degree program第156-157页
Acknowledgements第157-158页
Appendix第158-193页
    Appendix I: parameters of an illustrative example第158-163页
    Appendix II第163-171页
    Appendix III : result of single TC (PP) by lingo第171-183页
    Appendix IV: Results of Comprehensive Evaluation Method第183-188页
    Appendix V:Results of Fuzzy method solutions第188-193页
附件第193页

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