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Inventory models for imperfect production and inspection processes with various inspection options under one-time and continuous improvement investment

Authors
Yoo, Seung HoKim, Dae SooPark, Myung-Sub
Issue Date
Sep-2012
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Continuous improvement; Inspection option; Inventory; Production and inspection reliability; Reverse logistics
Citation
COMPUTERS & OPERATIONS RESEARCH, v.39, no.9, pp.2001 - 2015
Indexed
SCIE
SCOPUS
Journal Title
COMPUTERS & OPERATIONS RESEARCH
Volume
39
Number
9
Start Page
2001
End Page
2015
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164669
DOI
10.1016/j.cor.2011.09.015
ISSN
0305-0548
Abstract
This study investigates both internal and external effects of defective production and delivery from imperfect production and inspection processes in a stable production and inventory system, and subsequent defective returns and dispositions. We first develop profit-maximizing imperfect-quality inventory models for various inspection options (sampling inspection, entire lot screening, and no inspection) under one-time improvement investment in production and inspection reliability. We then present the models under continuous improvement (CI) investments over multiple periods, which have not been explored before. In a CI environment, we further propose an inspection alternative of changing an inspection option from entire lot screening to no inspection and vice versa. We develop an algorithm for finding the optimal inspection policy yielding a superior profit, among inspection option change between entire lot screening and no inspection and those without option change. Based on the analytical models along with numerical and simulation analyses, we provide important managerial implications to practicing managers and future research directions.
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Yoo, Seung Ho
SCHOOL OF INDUSTRIAL INFORMATION STUDIES (DIVISION OF INDUSTRIAL INFORMATION STUDIES)
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