Dissertation > Military > Military theory > Military management > Logistics

The Study on the Optimization Model and Appliance in Distribution Plan of Military Logistics

Author ZhouFeng
Tutor LiaoLiangCai;LiuJianCheng
School National University of Defense Science and Technology
Course Project Management
Keywords distribution plan optimization time window inventory VRPTW
CLC E075
Type Master's thesis
Year 2008
Downloads 98
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With the wide application of imformation technology, military logistics industry has made a newly important change, and the freight distribution is an important link. In the course of freight distribution in a distribution center, the distribution plan optimization problem is a fascinating one. An excellent distribution plan can bring extremely considerable military economic profits.On the base of analyzing the developing process of the logistics planning optimization, we make a research on the algorithm design of the distribution plan optimization problem under different conditions in the thesis, then set up the optimization model of the distribution plan including not only the single cycle which doesn’t consider the inventory cost but also the multicycle considering the inventory cost according to the customers’ inventory instance and demand of the distribution time.We analyze the method of the model’s setting up and the solution depending on different conditions. If the resource in the distribution center is finite, the custom inventory would affects the distribution cost and the stochastic inventory allocation problem is the key to whole problem’s resolving. An approximate algorithm is designed in order to resolve this problem according to interrelated documents in this thesis in which the Tabu Search is used and a good optimization result is obtained; If the resource is infinite in the distribution center, the distribution cost would not be affected by the custom inventory, then it changes into the vehicle routing problem with time windows (VRPTW), which is disintegrated into two parts solved respectly. Genetic algorithm is used in the first part and the saved heuristics algorithm is used in the second part. During the multicycle distribution optimization, we use heuristic algorithm through iterative computing, unceasingly balancing the interactions between supply center and customers and incessant plan optimization to confirm the distribution plan finally.In the end, on the background of the remote mobility military manoeuvres, the thesis gives a case analysis of the One-Many military logistics single cycle distribution without resources limitations, and analyzes the key problem involved in several models, which is the determination of the distribution plan with soft and hard time windows. Completely considering the customers’ require in soft and hard time windows, the vehicle optimization distribution plan has been formed and the total cost is being computed out at the same time, which satisfies the practical appliance.

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