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A MULTIPLE LOT-SIZING DECISION FOR TWO-STAGE SYSTEMS WITH INTERRUPTED GEOMETRIC YIELD AND NON-RIGID DEMAND

机译:具有非刚性需求的几何产量中断的两阶段系统的多批量决策

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摘要

In this paper, we investigate a multiple-lot-sizing-production-to-order problem for a two-stage system with interrupted geometric yield and non-rigid demand. Given a due date for an order, we simultaneously determine the optimal lot sizes for the two production stages in each period. This problem is formulated as a dynamic program (DP), and four lemmas are proposed to confine its solution space. Solving the DP for large-scale cases is computationally extensive. We propose a heuristic solution method for the DP in order to obtain a satisfactory solution efficiently. Numerical tests indicate that the heuristic method yields results with satisfactory accuracy in cases with large initial demand. However, while in cases with low initial demand, we would suggest the use of DP method to solve the problem because its required computational efforts are acceptable in practice and the results obtained from the heuristic method become far less accurate.
机译:在本文中,我们研究了几何收益率中断且需求非刚性的两阶段系统的多批量生产订单生产问题。给定订单的截止日期,我们同时确定每个时期两个生产阶段的最佳批量。该问题被公式化为动态程序(DP),并提出了四个引理来限制其求解空间。解决大规模案例的DP的计算量很大。为了有效地获得满意的解,我们提出了一种启发式解法。数值试验表明,在初始需求较大的情况下,启发式方法得出的结果具有令人满意的精度。但是,在初始需求较低的情况下,我们建议使用DP方法来解决该问题,因为其所需的计算工作在实践中是可以接受的,并且从启发式方法获得的结果的准确性将大大降低。

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