Paper Info
Title
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling
Abstract
Process planning and scheduling are two key sub-functions in the manufacturing system. Traditionally, process planning and scheduling were regarded as the separate tasks to perform sequentially. Recently, a significant trend is to integrate process planning and scheduling more tightly to achieve greater performance and higher productivity of the manufacturing system. Because of the complementarity of process planning and scheduling, and the multiple objectives requirement from the real-world production, this research focuses on the multi-objective integrated process planning and scheduling (IPPS) problem. In this research, the Nash equilibrium in game theory based approach has been used to deal with the multiple objectives. And a hybrid algorithm has been developed to optimize the IPPS problem. Experimental studies have been used to test the performance of the proposed approach. The results show that the developed approach is a promising and very effective method on the research of the multi-objective IPPS problem.
Year
DOI
Venue
2012
10.1016/j.eswa.2011.07.019
Expert Syst. Appl.
Keywords
Field
DocType
hybrid algorithm,developed approach,ipps problem,multi-objective integrated process planning,multi-objective ipps problem,manufacturing system,process planning,multiple objective,multiple objectives requirement,greater performance,game theory
Lottery scheduling,Mathematical optimization,Fair-share scheduling,Computer science,Two-level scheduling,Scheduling (production processes),Genetic algorithm scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Automated planning and scheduling
Journal
Volume
Issue
ISSN
39
1
0957-4174
Citations 
PageRank 
References 
20
0.83
13
Authors
3
Name
Order
Citations
PageRank
Xinyu Li138165.75
Liang Gao21493128.41
Weidong Li313613.50