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APPLYING HEURISTIC ALGORITHMS FOR STRUCTURING ZONE-BASED TIME-ORIENTED DISTRIBUTION NETWORKS

机译:应用启发式算法,用于构建基于区域的时直的分布网络

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Due to the recent changes of the European market including the opening up of Easten Europe and its associated logistical (distribution) consequences, the economically significant question of reorganization of goods distribution networks represents an increasing problem for companies operating in Europe. The existing concepts indicate many weak points because of insufficient consideration of real, nonlinear storage and transportation costs, especially zone-oriented transportation costs, and underlying strategies behind the distribution structure, In addition, the existing concepts are mostly limited to the optimization of only one warehousing level and they do not consider the important factor of time. The consideration of real conditions incl. simultaneous optimization of multiple distribution echelons increases the complexity enormously. The computational implementation of the following contribution -promoted by the DFG (Lu 373/18-2) - based on application of heuristic optimization , i.e. Simulated Annealing, Evolutionary Strategies, Genetic Algorithms, and Tabu Search for solving this complex optimization problem.
机译:由于欧洲市场的最新变化,包括Easten Europe的开放及其相关的后勤(分配)后果,货物分销网络的经济重大问题是在欧洲运营的公司的越来越多的问题。现有概念表明许多弱点,因为对实际的非线性储存成本,特别是面向区域的运输成本,以及分销结构背后的基本策略,现有的概念主要限于仅限于一个仓储水平,他们不考虑重要因素。考虑真实条件包括。同时优化多分布梯队的变量增加了复杂性。以下贡献的计算实施 - 基于启发式优化的应用,即模拟退火,进化策略,遗传算法和禁忌搜索解决这一复杂优化问题的贡献。

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