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Bilevel programming approach applied to the flow shop scheduling problem under fuzziness

机译:双层规划方法应用于模糊性下的流水车间调度问题

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This paper presents a fuzzy bilevel programming approach to solve the flow shop scheduling problem. The problem considered here differs from the standard form in that operators are assigned to the machines and imposing a hierarchy of two decision makers with fuzzy processing times. The shop owner considered higher level and assigns the jobs to the machines in order to minimize the flow time while the customer is the lower level and decides on a job schedule in order to minimize the makespan. In this paper, we use the concepts of tolerance membership function at each level to define a fuzzy decision model for generating optimal (satisfactory) solution for bilevel flow shop scheduling problem. A solution algorithm for solving this problem is given.
机译:本文提出了一种模糊的双层规划方法来解决流水车间调度问题。这里考虑的问题与标准形式的不同之处在于,将操作员分配给了机器,并强加了具有模糊处理时间的两个决策者的层次结构。店主考虑了较高的级别,并将作业分配给机器,以最大程度地减少流动时间,而客户是较低的级别,并决定作业计划,以使工期最小化。在本文中,我们使用每个级别的公差隶属度函数的概念来定义模糊决策模型,以生成针对双层流水车间调度问题的最佳(令人满意)的解决方案。给出了解决该问题的解决方案算法。

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