DocumentCode :
2060737
Title :
Integrated capacity allocation policies for a production service system with two-class customers and items
Author :
Kangzhou Wang ; Zhibin Jiang ; Guowei Li ; Jin Cao
Author_Institution :
Sino-US Global Logistics Inst., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
17-20 Aug. 2013
Firstpage :
83
Lastpage :
88
Abstract :
In this paper, we address the capacity allocation rules for a production service system consisting of one flexible manufacturing facility and a service centre. The manufacturing facility produces two-type items in the first stage and a service centre serves two-class customers in the second stage. Each customer served by the service centre depletes one unit of dedicated item produced by the manufacturing facility. The manager must make production and service capacity allocation decisions at any time. We first formulate the optimal service capacity allocation problem as a Markov decision process and show the optimal service policy is an extension of the well-known optimal service scheduling policy for classical service system. We then develop several heuristic production scheduling policies when the service centre is regulated by the optimal scheduling policy. Numerical examples verify the effectiveness and efficiencies of the proposed heuristics.
Keywords :
Markov processes; flexible manufacturing systems; heuristic programming; production facilities; scheduling; service industries; Markov decision process; classical service system; flexible manufacturing facility; heuristic production scheduling policies; integrated capacity allocation policies; optimal service capacity allocation problem; optimal service scheduling policy; production capacity allocation decisions; production service system; service capacity allocation decisions; service centre; two-class customers; two-type items; DH-HEMTs; Job shop scheduling; Optimal scheduling; Production facilities; Resource management; Markov decision process; Production service system; capacity allocation; heuristics; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
ISSN :
2161-8070
Type :
conf
DOI :
10.1109/CoASE.2013.6653943
Filename :
6653943
Link To Document :
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