Title: A comparative study of VMI replenishment policies – toward rule-based decision making based on Monte Carlo simulations
Authors: Lanjuan Liu, Xinyan Zhou
Addresses: School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China. ' School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China
Abstract: This paper discusses a few different replenishment policies for suppliers who practice Vendor Managed Inventory (VMI) with their retailer customer. The relationship between the supplier overall cost and replenishment decision variables are explored through Monte Carlo simulation coupled with sensitivity analysis. The advantage of the proposed dynamic (s, S) policy is demonstrated through parallel cost comparison of the different replenishment policy schemes. This paper also discusses the application of dynamic (s, S) replenishment policy in the scenario of perishable goods and in the scenario of supply chain process with long lead time. It presents the decision rules for applying the dynamic (s, S) policy and also points out the inappropriateness of certain policies under VMI setting.
Keywords: dynamic replenishment policy; computer simulation; supply chain management; SCM; VMI; vendor managed inventory; Monte Carlo simulation.
International Journal of Services Operations and Informatics, 2009 Vol.4 No.1, pp.28 - 40
Available online: 01 Dec 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article