DocumentCode :
2550540
Title :
Inventory control for remanufacturing system with stochastic product returns
Author :
Gan, Shuyuan ; Su, Chun
Author_Institution :
Sch. of Mech. Eng., Southeast Univ., Nanjing, China
fYear :
2009
fDate :
21-23 Oct. 2009
Firstpage :
802
Lastpage :
807
Abstract :
The remanufacturing is regarded as a resource-saving and environment-friendly industry. However, inventory control for remanufacturing is facing great challenge caused by uncertainty of product returns, demands and repairing process. In this paper, a single-product remanufacturing system is analyzed and the research of effect caused by stochastic product returns is especially focused on. A kind of pull policy considering the unserviceable inventory and serviceable inventory together is employed. A cost model, the expected value of average single-cycle cost (EASC), is constructed under certain environmental assumptions. The objection is to minimize the EASC by controlling two variables, the serviceable inventory´s supplement batch and the remanufacturing product batch. The problem is solved by mathematical method.
Keywords :
costing; recycling; stochastic processes; stock control; cost model; environment-friendly industry; expected value of average single-cycle cost; inventory control; product return uncertainty; pull policy; remanufacturing product batch; repairing process; resource-saving industry; serviceable inventory; serviceable inventory supplement batch; single-product remanufacturing system; stochastic product return; unserviceable inventory; Cause effect analysis; Cost function; Electrical equipment industry; Gallium nitride; Industrial control; Inventory control; Production facilities; Stochastic processes; Stochastic systems; Uncertainty; Cost model; inventory control; mathematical method; remanufacturing; stochastic product returns;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
Type :
conf
DOI :
10.1109/ICIEEM.2009.5344478
Filename :
5344478
Link To Document :
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