Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Effect of rework, rejects and inspection on lot size with work-in-process inventory

Authors
Ullah, MisbahKang, Chang W.
Issue Date
Apr-2014
Publisher
TAYLOR & FRANCIS LTD
Keywords
rework; economic production quantity; inspection; work in process inventory; lot size
Citation
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.52, no.8, pp.2448 - 2460
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume
52
Number
8
Start Page
2448
End Page
2460
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/23264
DOI
10.1080/00207543.2013.873554
ISSN
0020-7543
Abstract
The economic order quantity and economic production quantity models are the most commonly used inventory models in production environments for the calculation of optimum lot size. However, these models are based on the unrealistic assumption that every process produces good quality products every time. Moreover, the impact of inspection is neglected in all extended inventory control models involving work in process inventory. By taking both imperfect production and lot size inspection into consideration, this paper presents a more realistic approach for the modelling of optimum lot size and total cost with a focus on the work in process inventory. A mathematical model is derived for optimum lot size based on the minimisation of the average cost. Our approach incorporates the effect of rework, rejects and inspection on work in process inventory. The significant effect of imperfect production and inspection on optimum lot size is evaluated via numerical examples. In comparison to existing models, the proposed model is a more generalised and flexible form of inventory model for independent demands.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE