Models and an exact method for the Unrelated Parallel Machine scheduling problem with setups and resources

Luis Fanjul-Peyro
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引用次数: 48

Abstract

This paper deals with the Unrelated Parallel Machine scheduling problem with Setups and Resources (UPMSR) with the objective of minimizing makespan. Processing times and setups depend on machine and job. The necessary resources could be: specific resources for processing, needed for processing a job on a machine; specific resources for setups, needed to do the previous setup before a job is processed on a machine; shared resources, understanding these as unspecific resources that could also be needed in both processing or setup. The number of scarce resources depends on machine and job. As an industrial example, in a plastic processing plant molds are the specific resource for processing machines, cleaning equipment is the specific resource for setups and workers are the unspecific shared resource to operate processing machines and setup cleaning equipment. A mixed integer linear program is presented to model this problem. Also a three phase algorithm based on mathematical exact method is introduced. Model and algorithm are tested in a comprehensive and extensive computational campaign. Tests show good results for different combinations of useE of resources and in most cases come to less than 2.7% of gap against lower bound for instances of 400 jobs.

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具有设备和资源的不相关并行机调度问题的模型和精确方法
本文以最大完工时间为目标,研究具有设备和资源的不相关并行机调度问题。加工时间和设置取决于机器和作业。必要的资源可以是:特定的处理资源,需要在机器上处理一个作业;用于设置的特定资源,在机器上处理作业之前需要进行先前的设置;共享资源,将其理解为在处理或设置过程中也可能需要的非特定资源。稀缺资源的数量取决于机器和工作。作为一个工业例子,在塑料加工厂中,模具是加工机器的特定资源,清洁设备是设置的特定资源,工人是操作加工机器和设置清洁设备的非特定共享资源。提出了一个混合整数线性规划来模拟这一问题。并介绍了一种基于数学精确法的三相算法。模型和算法在一个全面和广泛的计算活动中进行了测试。测试表明,不同的资源使用组合取得了良好的结果,在大多数情况下,与400个工作的情况下的下限相比,差距不到2.7%。
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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来源期刊
Expert Systems with Applications: X
Expert Systems with Applications: X Engineering-Engineering (all)
CiteScore
3.80
自引率
0.00%
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0
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