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A Simulation Study of Sequencing and Maintenance Decisions in a Dynamic Job Shop
Journal article   Peer reviewed

A Simulation Study of Sequencing and Maintenance Decisions in a Dynamic Job Shop

Jonathan Burton, Avijit Banerjee and Cheickna Sylla
Computers & industrial engineering, v 17(1-4), pp 447-452
01 Jan 1989
DOI: https://doi.org/10.1016/0360-8352(89)90103-4
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Models Preventive maintenance Repair & maintenance Sequential scheduling Simulation Statistical analysis
The job shop scheduling problem has been the subject of substantial research. Several maintenance decisions may have significant interactions with job scheduling decisions. A simulation study was recently conducted of a job shop where equipment is subject to failure. The job shop consisted of 4 machine groups, each with 3 similar but not identical machines. Researchers evaluated the effectiveness of some maintenance scheduling techniques under conditions involving shop load, job sequencing rule, preventive maintenance (PM) policy, and maintenance capacity. Researchers found that maintenance scheduling rules appear to be important in terms of several important performance measures, especially when a relatively inefficient job sequencing rule is in use, maintenance resources are relatively scarce, the shop congestion level is high, or when PM tasks are scheduled relatively more often. Under these conditions, a well designed maintenance sequencing rule can substantially improve shop performance. Researchers also concluded that the provision of an adequate maintenance workforce is likely to significantly enhance shop performance.

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7 Record Views
10 citations in Web of Science
15 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#12 Responsible Consumption & Production

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Web of Science research areas
Computer Science, Interdisciplinary Applications
Engineering, Industrial
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