Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment

This study aims to investigate the multi-item inventory model in a production/rework system with multiple production setups. Rework can be depicted as the transformation of production rejects, failed, or non-conforming items into re-usable products of the same or lower quality during or after inspec...

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Main Authors: Preeti Jawla, S. R. Singh
Format: Article
Language:English
Published: Growing Science 2016-09-01
Series:International Journal of Industrial Engineering Computations
Subjects:
Online Access:http://www.growingscience.com/ijiec/Vol7/IJIEC_2016_4.pdf
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author Preeti Jawla
S. R. Singh
author_facet Preeti Jawla
S. R. Singh
author_sort Preeti Jawla
collection DOAJ
description This study aims to investigate the multi-item inventory model in a production/rework system with multiple production setups. Rework can be depicted as the transformation of production rejects, failed, or non-conforming items into re-usable products of the same or lower quality during or after inspection. Rework is very valuable and profitable, especially if materials are limited in availability and also pricey. Moreover, rework can be a good contribution to a ‘green image environment’. In this paper, we establish a multi-item inventory model to determine the optimal inventory replenishment policy for the economic production quantity (EPQ) model for imperfect, deteriorating items with multiple productions and rework under inflation and learning environment. In inventory modelling, Inflation plays a very important role. In one cycle, production system produces items in n production setups and one rework setup, i.e. system follows (n, 1) policy. To reduce the deterioration of products preservation technology investment is also considered in this model. Holding cost is taken as time dependent. We develop expressions for the average profit per time unit, including procurement of input materials, costs for production, rework, deterioration cost and storage of serviceable and reworkable lots. Using those expressions, the proposed model is demonstrated numerically and the sensitivity analysis is also performed to study the behaviour of the model.
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spelling doaj.art-2fd850a8b4a043bdbdfb05d95ecd84162022-12-21T19:08:15ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342016-09-017470371610.5267/j.ijiec.2016.2.003Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environmentPreeti JawlaS. R. SinghThis study aims to investigate the multi-item inventory model in a production/rework system with multiple production setups. Rework can be depicted as the transformation of production rejects, failed, or non-conforming items into re-usable products of the same or lower quality during or after inspection. Rework is very valuable and profitable, especially if materials are limited in availability and also pricey. Moreover, rework can be a good contribution to a ‘green image environment’. In this paper, we establish a multi-item inventory model to determine the optimal inventory replenishment policy for the economic production quantity (EPQ) model for imperfect, deteriorating items with multiple productions and rework under inflation and learning environment. In inventory modelling, Inflation plays a very important role. In one cycle, production system produces items in n production setups and one rework setup, i.e. system follows (n, 1) policy. To reduce the deterioration of products preservation technology investment is also considered in this model. Holding cost is taken as time dependent. We develop expressions for the average profit per time unit, including procurement of input materials, costs for production, rework, deterioration cost and storage of serviceable and reworkable lots. Using those expressions, the proposed model is demonstrated numerically and the sensitivity analysis is also performed to study the behaviour of the model.http://www.growingscience.com/ijiec/Vol7/IJIEC_2016_4.pdfMulti-itemSelling price dependent demandPreservationVariable holding costVolume flexibilityLearningReworkInflationMultiple production setups
spellingShingle Preeti Jawla
S. R. Singh
Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
International Journal of Industrial Engineering Computations
Multi-item
Selling price dependent demand
Preservation
Variable holding cost
Volume flexibility
Learning
Rework
Inflation
Multiple production setups
title Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
title_full Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
title_fullStr Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
title_full_unstemmed Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
title_short Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
title_sort multi item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment
topic Multi-item
Selling price dependent demand
Preservation
Variable holding cost
Volume flexibility
Learning
Rework
Inflation
Multiple production setups
url http://www.growingscience.com/ijiec/Vol7/IJIEC_2016_4.pdf
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