Simple constructive heuristics for the Distributed Assembly Permutation Flowshop Scheduling Problem with sequence dependent setup times

Sara Hatami, Rubén Ruiz, C. Andrés-Romano
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引用次数: 7

Abstract

In this paper we consider a realistic production setting, referred to the Distributed Assembly Permutation Flowshop Scheduling Problem or DAPFSP in short. The problem consists of two stages, production and assembly. The paper is an extension of the recent work by Hatami et al. [6], that the additional consideration of sequence-dependent setup times (SDST) is added on both production and assembly stages. The resulting problem is very close to the reality of multi-factory scheduling. The production stage as the first stage is composed of f identical flowshop production factories where each factory is a flowshop that produce the different jobs. In the assembly stage, all produced jobs are assembled into final products. The objective is to minimize the overall makespan. As this problem is known to be NP-hard, we propose two simple constructive heuristics to solve the problem. In this paper we detail the proposed heuristics and carry out a comprehensive computational and statistical experiment to analyze their performance.
具有序列依赖设置时间的分布式装配置换流水车间调度问题的简单构造启发式
在本文中,我们考虑了一个现实的生产环境,称为分布式装配置换流水车间调度问题或简称DAPFSP。该问题分为生产和装配两个阶段。该论文是对Hatami等人[6]最近工作的扩展,该工作在生产和装配阶段都增加了对序列相关设置时间(SDST)的额外考虑。所得到的问题非常接近多工厂调度的实际情况。作为第一阶段的生产阶段由6个相同的流水车间生产工厂组成,每个工厂都是一个流水车间,生产不同的工作。在装配阶段,所有生产出来的产品都被组装成最终产品。目标是最小化总完工时间。由于这个问题被认为是np困难的,我们提出了两个简单的建设性启发式来解决这个问题。在本文中,我们详细介绍了提出的启发式算法,并进行了全面的计算和统计实验来分析它们的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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