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Heuristics-Based Integrated Decisions for Logistics Network Systems

机译：基于启发式的物流网络系统综合决策

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摘要

In the global manufacturing environment, decisions involving production activities and distribution should be made in an integrative manner for substantial savings in the logistics costs. An integrated decision on production assignment, lot sizing, transportation, and order quantity for a multiple-suppliers/multiple-destinations logistics network in a global manufacturing system is discussed in this paper. The integrated decision process can be viewed as a two-layer decision. The first layer is the combined decisions of production assignment and lot sizing (APLS-M), while the second layer is the combined decisions of transportation and order quantity determination (TOQ-M). A two-layer decomposition method combining two heuristics is hence developed to solve the integrated decision model (IDM-M). An assignment heuristic and a transportation heuristic are designed to solve the decision layers APLS-M and TOQ-M, respectively. Simulations were conducted on a practical example in an electronics manufacturing enterprise together with different sizes of problems. The results indicate that the two-layer decomposition method with heuristics is effective and provides a practical way to solve medium and large-scale integrated decision problems.
机译：在全球制造环境中，应以综合方式做出涉及生产活动和分销的决策，以节省大量的物流成本。本文讨论了全球制造系统中多供应商/多目的地物流网络的生产分配，批量确定，运输和订单数量的综合决策。集成决策过程可以视为两层决策。第一层是生产分配和批量确定的组合决策（APLS-M），第二层是运输和订单数量确定的组合决策（TOQ-M）。因此，开发了一种结合了两种启发式方法的两层分解方法来解决综合决策模型（IDM-M）。设计了分配启发法和运输启发法分别解决决策层APLS-M和TOQ-M。在一家电子制造企业的一个实际示例中进行了模拟，并提出了不同大小的问题。结果表明，采用启发式的两层分解方法是有效的，为解决中，大型集成决策问题提供了一种实用的方法。

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