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Just-in-time production and delivery in supply chains: a hybrid evolutionary approach

机译:供应链中的即时生产和交付:混合进化方法

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The timely production and distribution of rapidly perishable goods is one of the most challenging logistic problems in the context of supply chain operation. The problem involves several tightly interrelated planning, scheduling and routing problems, each with large combinatorial complexity. From a more practical perspective, the problem calls for a trade-off between risks and returns. To effectively deal with these considerable difficulties, we propose a novel meta-heuristic approach based on a hybrid evolutionary algorithm combined with constructive heuristics for addressing just-in-time production and delivery with time constraints on both the earliness and the lateness of supply. Distribution of ready-made concrete is used as a practical example. A case study based on industrial data illustrates the potential of the proposed approach.
机译:在供应链运作的背景下,及时生产和分配易腐烂的货物是最具有挑战性的物流问题之一。该问题涉及几个紧密相关的计划,调度和路由问题,每个问题都具有很大的组合复杂性。从更实际的角度来看,该问题要求在风险和回报之间进行权衡。为了有效应对这些相当大的困难,我们提出了一种基于混合进化算法并结合构造性启发式方法的新型元启发式方法,该方法可解决在及时性和供应性方面都受到时间限制的即时生产和交付问题。一个现成的例子是分配现成的混凝土。基于工业数据的案例研究说明了该方法的潜力。

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