Paper Info
Title
An Enhanced Multi-Objective Jaya Algorithm For U-Shaped Assembly Line Balancing Considering Preventive Maintenance Scenarios
Abstract
Given that a U-shaped assembly line is usually regarded as a serial flow production system, preventive maintenance (PM) on machines in any station of the line may lead to stoppage of the whole line and sequentially cause great loss of production cost. To improve production continuity during PM, this paper proposes multiple alternative assignment plans with interchangeable abilities to ascertain the production recovery from changes of line structure. A mixed-integer mathematical model is further formulated to make decisions on alternative assignment plans. In this model, cycle time and total assignment plan alteration cost are minimised simultaneously. And an enhanced JAYA algorithm is developed to obtain well-distributed Pareto frontier solutions effectively and efficiently. The proposed algorithm suggests a similarity-based selection and various crossover/neighbourhood search operators to enhance its search ability for global optima. Numerical experiment results prove the effectiveness of the proposed model and enhanced JAYA. This novel methodology of integration optimisation bridges assembly line balancing and PM, and thus promotes production continuity and achieves economic benefits under maintenance within large-scaled assembly lines in real situations. Furthermore, a real-world case study is conducted to illustrate the significance of this novel methodology.
Year
DOI
Venue
2021
10.1080/00207543.2020.1804639
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
Assembly line balancing, preventive maintenance, JAYA algorithm, multi-objective optimisation, U-shaped
Journal
59
Issue
ISSN
Citations 
20
0020-7543
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zikai Zhang185.89
Qiuhua Tang2324.57
Dayong Han310.69
Xinbo Qian400.34