Joint optimization of opportunistic maintenance and production scheduling considering batch production mode and varying operational conditions

Lei Xiao, Xinghui Zhang, Junxuan Tang and Yaqin Zhou

Reliability Engineering and System Safety, 2020, vol. 202, issue C

Abstract: The joint optimization of production scheduling and maintenance has been a hot topic. Most of the existing publications assume that the operational condition (OC) of a machine is constant during the entire production task. However, it is practical that a machine may experience several different OCs due to the requirement of different jobs. The varying OC may impact the deterioration of machines and their maintenance decisions. In addition, in a batch production system, a maintenance action has to be advanced before or postponed after a processing batch. Even if a machine is maintained preventively, it cannot be renewed since preventive maintenance (PM) is usually imperfect. In addition, minimal repair should be considered, which is costly and time consuming upon machine failure. The above concerns are practical but insufficiently considered in an integrated manner. Due to this integration, the complexity of the joint optimization problem is enhanced. An improved genetic algorithm (GA) based on random keys, convex set theory and the Jaya algorithm is proposed to solve the joint optimization problem of opportunistic PM and production scheduling in a batch production system under varying OCs. A series of comparative cases are conducted to illustrate the effectiveness of the proposed methods.

Keywords: Opportunistic maintenance; Production scheduling; Varying OCs; Joint optimization; Improved GA (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832020305482
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:202:y:2020:i:c:s0951832020305482

DOI: 10.1016/j.ress.2020.107047

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().