Scheduling with different maintenance policies in a textile company
Scheduling with different maintenance policies in a textile company
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DOI：
10.1108/13552510510589361
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发表时间：
2005-03
影响因子：
1.5
通讯作者：
Wen‐Jinn Chen;C. Liao
中科院分区：
文献类型：
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作者：
Wen‐Jinn Chen;C. Liao
目的-机器维护在许多行业中是必不可少的。当需要实现高车间性能时，如何安排维护变得尤为重要。本文的目的是考虑在一家公司的维修调度问题，不同的维修situations.Design/方法/方式-该公司，这是著名的东南亚，专门从事制造纺织品，如聚丙烯和化学芯片。在本文中提出了一种算法，为五个特定的情况下，为公司尽量减少延误jobs.Findings的数量-由于机器过载在24小时生产，机器故障通常发生在车间。公司迫切需要制定一个程序，将维护纳入计划，以减少机器故障。计算结果表明，所提出的算法比现有的方法平均提高了32.5%，而实际的平均提高只有10%。
Purpose – Machine maintenance is essential in many industries. How to schedule maintenance becomes especially important when achieving high shop performance is desired. This paper aims to consider the maintenance scheduling problem in a company where different maintenance situations exist.Design/methodology/approach – The company, which is famous in South East Asia, specializes in the manufacturing of textiles such as polypropylene and chemical chip. In this paper an algorithm is presented, for five specific situations, for the company to minimize the number of tardy jobs.Findings – Owing to machine overload in 24‐hour production, machine breakdowns usually occur in the shop. There is an urgent need for the company to derive a procedure that will incorporate the maintenance into the schedule to reduce the machine breakdown. Computational results have showed that the proposed algorithm outperforms the current method with an average improvement of 32.5 percent, although the actual average improvement is som...