A game-theoretic approach to generating optimal process plans of multiple jobs in networked manufacturing

International Journal of Computer Integrated Manufacturing

Volumn 23, Issue 12, 2010, Pages 1118-1132

  Zhou, Guanghui ^a,b   Xiao, Zhongdong ^b   Jiang, Pingyu ^a,b   Huang, George Q ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

game theory; hybrid adaptive genetic algorithm; job scheduling; networked manufacturing; process plan

Indexed keywords

GENETIC ALGORITHMS; MANUFACTURE; SCHEDULING; SCHEDULING ALGORITHMS;

ADAPTIVE GENETIC ALGORITHMS; COMPLETE INFORMATION; JOB SCHEDULING; MATHEMATICAL SOLUTIONS; NETWORKED-MANUFACTURING; NONCOOPERATIVE GAME; PROCESS PLAN; PRODUCTION FLEXIBILITY;

GAME THEORY;

EID: 78649506002     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/0951192X.2010.524248     Document Type: Article

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