Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/408
Title: A Slow-moving Demand Model for a Fixed-life Perishable Product in a Two-echelon Inventory System
Authors: Kanchanasuntorn, Kanchana 
Issue Date: 2007
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: Kanchana Kanchanasuntorn (2007) A Slow-moving Demand Model for a Fixed-life Perishable Product in a Two-echelon Inventory System. UTCC Engineering Research Papers.
Journal: UTCC Engineering Research Papers
Abstract: As perishability is a major characteristic of the most agrofoodproduct. In this paper, the inventory model forperishable product in a two-echelon inventory system isconcerned. This paper further modifies the net profitmodel of Kanchanasuntorn and Techanitisawad [5]developed for a fast-moving demand and fixed-lifeperishable product in a two-echelon inventory probleminto the slow-moving demand model. The two–echeloninventory system addressed in this paper consists of onecentral warehouse and a number of either identical or nonidenticalretail outlets. With some simple modifications tothe existing model of Kanchanasuntorn andTechanitisawad [5], the model for slow-moving Poissondemand distribution is developed and subsequentlyevaluated for their performance by comparing its resultswith those obtained from normality assumption basedmodel. The comparative results show that under theslow-moving demand environment, the Poisson model ismore effective than the model with normality assumption.In addition, the performance of the proposed model iscompared to those obtained from simulation-optimizationtechnique. The evaluation result illustrate that thisproposed model can perform quite well in all cases.
URI: https://scholar.utcc.ac.th/handle/6626976254/408
ISSN: 1906-1625
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:EN: Journal Articles

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