Optimal Consolidation Replenishment Policy for a Vendor-Managed Inventory System

碩士 === 義守大學 === 工業工程與管理學系 === 92 === In traditional supply chain activities, the variance of the orders get amplified as orders are propagated upstream, the so-called “Bullwhip Effect”. One of the approaches to reduce the variance is Vendor-Managed Inventory (VMI). Through the vendor united managed...

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Bibliographic Details
Main Authors: Ho Ming-Chang, 何明璋
Other Authors: 許志華
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/37110699001951313765
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Summary:碩士 === 義守大學 === 工業工程與管理學系 === 92 === In traditional supply chain activities, the variance of the orders get amplified as orders are propagated upstream, the so-called “Bullwhip Effect”. One of the approaches to reduce the variance is Vendor-Managed Inventory (VMI). Through the vendor united managed inventory of retailers, we could reduce the variance of demand and save the ordering cost and the dispatching cost to reduce supply chain cost. The system consists of a single vendor and multiple retailers, a two-level supply chain inventory management system. The vendor use (s, S) replenishment policy and retailers utilize fixed dispatch cycle policy. The dispatching time from the vendor to the retailers is ignored. This research extends Cetinkaya & Lee’s (2000) supply chain model. The demand model for beta distribution, uniform distribution, and lognormal distribution are applied. The objective function is to compute the minimum total cost, optimal dispatch cycle, and maximum stocking level. We use Matlab software to code the program, and compute two decision variables and minimum total cost. We also implement statistics test of unknown population distribution, population parameters estimate, and the sensitivity analysis for every parameter, with respect to different probability distribution and limited optimal decision variables, to observe the effect on total cost and decision variables. Keywords: Vendor-Managed Inventory (VMI), consolidation replenishment, replenishment policy.