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Growing Science » International Journal of Industrial Engineering Computations » A production inventory model with exponential demand rate and reverse logistic

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 5 Issue 4 pp. 521-542 , 2014

A production inventory model with exponential demand rate and reverse logistic Pages 521-542 Right click to download the paper Download PDF

Authors: Ritu Raj, Naresh Kumar Kaliraman, Shalini Chandra, Harish Chaudhary

DOI: 10.5267/j.ijiec.2014.7.006

Keywords: Imperfect Production, Integrated, Reverse Logistics, Supply Chain

Abstract: The objective of this paper is to develop an integrated production inventory model for reworkable items with exponential demand rate. This is a three-layer supply chain model with perspectives of supplier, producer and retailer. Supplier delivers raw material to the producer and finished goods to the retailer. We consider perfect and imperfect quality products, product reliability and reworking of imperfect items. After screening, defective items reworked at a cost just after the regular manufacturing schedule. At the beginning, the manufacturing system starts produce perfect items, after some time the manufacturing system can undergo into “out-of-control” situation from “in-control” situation, which is controlled by reverse logistic technique. This paper deliberates the effects of business strategies like optimum order size of raw material, exponential demand rate, production rate is demand dependent, idle times and reverse logistics for an integrated marketing system. Mathematica is used to develop the optimal solution of production rate and raw material order for maximum expected average profit. A numerical example and sensitivity analysis is illustrated to validate the model.

How to cite this paper
Raj, R., Kaliraman, N., Chandra, S & Chaudhary, H. (2014). A production inventory model with exponential demand rate and reverse logistic.International Journal of Industrial Engineering Computations , 5(4), 521-542.

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Journal: International Journal of Industrial Engineering Computations | Year: 2014 | Volume: 5 | Issue: 4 | Views: 3083 | Reviews: 0

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