The AHP approach for selecting an automobile purchase model
Information and Management
A model for lumpy demand parts in a multi-location inventory system with transshipments
Computers and Operations Research
An evolutionary algorithm to solve the joint replenishment problem using direct grouping
Computers and Industrial Engineering
A research framework for Web-based open decision support systems
Knowledge-Based Systems
The criticality of spare parts evaluating model using artificial neural network approach
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
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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.