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Manufacturing system design by considering multiple machine replacements under discounted costs

机译:考虑折扣价下的多台机器更换的制造系统设计

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This article investigates the effect of equipment replacement on the design phase of multi-machine manufacturing systems, given a finite horizon and discounted costs. For the most part, the manufacturing system design literature has focused on the design issue, ignoring equipment replacement and its economic impact. The design phase generally consists of equipment selection, process routing, and layout decisions. The authors propose an explicit mathematical form for the operating costs of equipment and their salvage values based on their previous experience of life cycle costing projects. The design phase of cellular manufacturing systems, the so-called cell formation problem, is used. The problem is formulated as a non-linear mixed-integer programming model and solved using a proposed branch-and-bound algorithm. The algorithm employs a depth-first branching strategy in conjunction with a bounding procedure with a heuristic method. Selected numerical examples demonstrate the applicability of the model and verify the performance of the proposed algorithm. The results enable the best equipment mix and product process routes to be chosen based on the given horizon and economic factors; in addition, information is obtained about which equipment should be replaced and at what time point this replacement should occur.
机译:本文研究了在有限的前景和折扣的情况下设备更换对多机制造系统设计阶段的影响。在大多数情况下,制造系统设计文献集中在设计问题上,而忽略了设备更换及其经济影响。设计阶段通常包括设备选择,工艺路线和布局决策。作者根据他们在生命周期成本项目中的经验,提出了设备运行成本及其残值的明确数学形式。使用了细胞制造系统的设计阶段,即所谓的细胞形成问题。该问题被公式化为非线性混合整数规划模型,并使用提出的分支定界算法进行了求解。该算法采用深度优先分支策略,并结合启发式方法的边界过程。选定的数值示​​例证明了该模型的适用性并验证了所提出算法的性能。结果可以根据给定的范围和经济因素选择最佳的设备组合和产品工艺路线;此外,还会获得有关应更换哪些设备以及应在何时更换的信息。

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