Impact of random defective rate on lot size focusing work-in-process inventory in manufacturing system

Title
Impact of random defective rate on lot size focusing work-in-process inventory in manufacturing system
Author
강창욱
Keywords
Work-in-process; random defects; lot size; rework; STAGE PRODUCTION SYSTEM; IMPERFECT PRODUCTION PROCESSES; ECONOMIC PRODUCTION QUANTITY; MULTISTAGE PRODUCTION SYSTEM; REWORK PROCESS; BATCH SIZE; MODEL; QUALITY; DETERIORATION; INSPECTION
Issue Date
2017-01
Publisher
TAYLOR & FRANCIS LTD
Citation
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v. 55, No. 6, Page. 1748-1766
Abstract
Literature has focused inventory models with intensive emphasis on imperfect production processes in recent past. However, the work-in-process-based inventory models have been ignored, relatively, in general and the impact of random defects in the form of reworkable and non-reworkable defect rate on lot size and total cost function in particular. This paper develops mathematical models for work-in-process-based inventory by incorporating the effect of random defects rate on lot size and expected total cost function. Our proposed models assume that defective products produced during the production process follow random distributions. Defective products, either in the form of reworkable or rejected production units, follow four types of distribution density functions: uniform, triangular, double triangular and beta distribution. Mathematical models are derived for optimum lot size based on minimization of expected total cost function through the analytical optimization approach. Numerical examples and detailed sensitivity analysis are carried to illustrate and compare the proposed models at different levels of distribution functions' parameters.
URI
https://www.tandfonline.com/doi/abs/10.1080/00207543.2016.1235295http://repository.hanyang.ac.kr/handle/20.500.11754/71633
ISSN
0020-7543; 1366-588X
DOI
10.1080/00207543.2016.1235295
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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