2009
DOI: 10.1016/j.eswa.2007.12.040
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Orders dispatching game for a multi-facility manufacturing system

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Cited by 7 publications
(3 citation statements)
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“…• Evolutionary game theory: Our approach can be extended to model population dynamics under decreasing fitness functions in the real of evolutionary game theory (Chen and Wang, 2009;Barari et al, 2012). More particularly, in these settings, p i can be used to model the size of the i th population while d i (p i ) can be seen as its corresponding fitness function.…”
Section: Discussionmentioning
confidence: 99%
“…• Evolutionary game theory: Our approach can be extended to model population dynamics under decreasing fitness functions in the real of evolutionary game theory (Chen and Wang, 2009;Barari et al, 2012). More particularly, in these settings, p i can be used to model the size of the i th population while d i (p i ) can be seen as its corresponding fitness function.…”
Section: Discussionmentioning
confidence: 99%
“…The manufacturing operation management for optimal decision making should consider factors related to products, manufacturing facilities, processes, planning and control systems (Goh, Lim, and Meng 2007;Bozarth et al 2009;Li, Sheng, et al 2010). Manufacturing strategy of companies under these circumstances should be modified in accordance with the changing factors in global manufacturing environment (Choi and Chan 2003;Chen and Wang 2009). Manufacturing strategy of companies under these circumstances should be modified in accordance with the changing factors in global manufacturing environment (Choi and Chan 2003;Chen and Wang 2009).…”
Section: Supporting Collaboration In Global Manufacturing Networkmentioning
confidence: 99%
“…Chen and Wang [65] propose an algorithm for multi-facility work order formulated as a stochastic non-autonomous Lotka-Volterra difference game with a closed loop control scheme.…”
Section: Multiple Stagesmentioning
confidence: 99%