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Production Lot Sizes on a Single Imperfect Machine: FPTAS vs ILP models

机译:单个不完美机器上的生产批尺寸:FPTAS VS ILP型号

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A single machine multi-product lot-sizing and sequencing problem for a single period is studied. In this problem, n different product types are manufactured in lots. A demand for good quality items as well as a per item processing time are known for all product types. There is a sequence dependent set-up time between lots of different types. Machine yields and product lead times are uncertain because of the non-perfect production and breakdowns. The objective is to minimize the cost of the demand dissatisfaction, subject to the total processing time does not exceed a given time limit. We propose two integer linear programming (ILP) models for the NP-hard "fraction defective" case of this problem and compare effectiveness of their ILOG CPLEX realizations with the earlier developed FPTAS via a computer experiment.
机译:研究了单个机器多产品批量和单一时期的排序问题。在此问题中,N个不同的产品类型在批次中制造。所有产品类型都知道对良好质量项目以及每个项目处理时间的需求。在大量不同类型之间存在序列相关的设置时间。由于非完美的生产和故障,机器产量和产品交货时间不确定。目的是最小化需求不满的成本,受到总处理时间的影响不超过给定的时间限制。我们提出了两个整数线性编程(ILP)模型,用于这个问题的NP-Hard“分数缺陷”案例,并通过计算机实验与早期开发的FPTA的ILOG CPLEX实现的有效性。

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