一个由混合M.I.P.算法解决的物流积累问题

Pastijn Hugo J.A.M.
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引用次数: 0

摘要

本文讨论了一个军队行动所需重要物品的后勤储备的具体情况。提出了一种通用模型,并对其具体结构进行了研究。该模型描述了一个一般的混合整数线性规划问题。制约因素主要是由于时间限制、运输能力有限、所需物品数量和人的影响,如培训、专业化和心理因素。成本得到优化。通过对一个简化子问题的数值处理来说明该算法的应用。采用切面-分支-定界混合算法给出了该问题的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A logistical build-up problem solved by a hybrid M.I.P. — Algorithm

A certain case of a logistical build-up of stocks of critical articles for an army operation is discussed. A general model is presented and the particular structure studied. the model describes a general mixed integer linear programming problem. Constraints are mainly due to time limitations, limited capacities of transportation capabilities, the required amount articles and human implications such as training, specialization and psychological factors. Costs are optimized. A simplified subproblem is treated numerically to illustrate the application of the algorithm. The solution is given by means of hybrid cutting-plane — branch and bound algorithm.

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