Title: A hybrid decision support system for slow moving spare parts joint replenishment: a case study in a nuclear power plant
Authors: Yurong Zeng, Lin Wang
Addresses: School of Computer, Hubei University of Economics, Wuhan 430205, China. ' School of Management, Huazhong University of Science & Technology, Wuhan 430074, China
Abstract: This paper presents a hybrid Decision Support System (DSS) for slow moving spare parts joint replenishment in a nuclear power plant. In this study, we integrate the fuzzy and grey theory-based spare parts criticality class evaluation model to confirm the target service level, and the web-based joint replenishment DSS to obtain reasonable purchase parameters that can be helpful for reducing total inventory holding costs. The proposed DSS was successful in decreasing inventories holding costs significantly by modifying the unreasonable purchase applications while maintaining the predefined target service level.
Keywords: spare parts replenishment; criticality class; fuzzy logic; grey theory; web-based joint replenishment; hybrid DSS; decision support systems; slow moving replenishment; nuclear power plants; NPP; inventory holding costs; target service levels.
International Journal of Computer Applications in Technology, 2010 Vol.37 No.3/4, pp.287 - 296
Published online: 03 Mar 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article