A production inventory model with exponential demand rate and reverse logistics

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 th...

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Main Authors: Ritu Raj, Naresh Kumar Kaliraman, Shalini Chandra, Harish Chaudhary
Format: Article
Language:English
Published: Growing Science 2014-08-01
Series:International Journal of Industrial Engineering Computations
Subjects:
Online Access:http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_25.pdf
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spelling doaj-279572b430354acca8e37ae42411d26a2020-11-25T02:47:15ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342014-08-0154521542A production inventory model with exponential demand rate and reverse logisticsRitu RajNaresh Kumar KaliramanShalini ChandraHarish ChaudharyThe 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.http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_25.pdfImperfect ProductionReverse LogisticsIntegratedSupply Chain
collection DOAJ
language English
format Article
sources DOAJ
author Ritu Raj
Naresh Kumar Kaliraman
Shalini Chandra
Harish Chaudhary
spellingShingle Ritu Raj
Naresh Kumar Kaliraman
Shalini Chandra
Harish Chaudhary
A production inventory model with exponential demand rate and reverse logistics
International Journal of Industrial Engineering Computations
Imperfect Production
Reverse Logistics
Integrated
Supply Chain
author_facet Ritu Raj
Naresh Kumar Kaliraman
Shalini Chandra
Harish Chaudhary
author_sort Ritu Raj
title A production inventory model with exponential demand rate and reverse logistics
title_short A production inventory model with exponential demand rate and reverse logistics
title_full A production inventory model with exponential demand rate and reverse logistics
title_fullStr A production inventory model with exponential demand rate and reverse logistics
title_full_unstemmed A production inventory model with exponential demand rate and reverse logistics
title_sort production inventory model with exponential demand rate and reverse logistics
publisher Growing Science
series International Journal of Industrial Engineering Computations
issn 1923-2926
1923-2934
publishDate 2014-08-01
description 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.
topic Imperfect Production
Reverse Logistics
Integrated
Supply Chain
url http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_25.pdf
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