Economic optimization of off-line inspection with rework consideration

Wen Ying Wang; Shey Huei Sheu; Yan Chun Chen; Der Juinn Horng

doi:10.1016/j.ejor.2008.01.010

Economic optimization of off-line inspection with rework consideration

Wen Ying Wang, Shey Huei Sheu, Yan Chun Chen, Der Juinn Horng

Department of Business Administration

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

This paper addresses issues relating to off-line inspection with rework consideration. We develop a mathematical model to determine the first unit inspected and the average number to be inspected in a batch, assuming the involvement of a quality-control department with a standard procedure. Numerical analyses are used to simulate the effect of changes in the various parameters on the optimal solution when the probability of a transition between states follows the discrete Weibull distribution.

Original language	English
Pages (from-to)	807-813
Number of pages	7
Journal	European Journal of Operational Research
Volume	194
Issue number	3
DOIs	https://doi.org/10.1016/j.ejor.2008.01.010
State	Published - 1 May 2009

Keywords

Dynamic programming
Off-line inspection
Optimization
Quality control
Rework

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10.1016/j.ejor.2008.01.010

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abstract = "This paper addresses issues relating to off-line inspection with rework consideration. We develop a mathematical model to determine the first unit inspected and the average number to be inspected in a batch, assuming the involvement of a quality-control department with a standard procedure. Numerical analyses are used to simulate the effect of changes in the various parameters on the optimal solution when the probability of a transition between states follows the discrete Weibull distribution.",

keywords = "Dynamic programming, Off-line inspection, Optimization, Quality control, Rework",

author = "Wang, {Wen Ying} and Sheu, {Shey Huei} and Chen, {Yan Chun} and Horng, {Der Juinn}",

note = "Funding Information: The authors would like to thank the referees for their thorough reading of the paper, and for their valuable comments and suggestions, which greatly enhanced the clarity of the article. This research was supported by the National Science Council of the Republic of China (NSC 96-2221-E-236-002).",

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AU - Wang, Wen Ying

AU - Sheu, Shey Huei

AU - Chen, Yan Chun

AU - Horng, Der Juinn

N1 - Funding Information: The authors would like to thank the referees for their thorough reading of the paper, and for their valuable comments and suggestions, which greatly enhanced the clarity of the article. This research was supported by the National Science Council of the Republic of China (NSC 96-2221-E-236-002).

PY - 2009/5/1

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N2 - This paper addresses issues relating to off-line inspection with rework consideration. We develop a mathematical model to determine the first unit inspected and the average number to be inspected in a batch, assuming the involvement of a quality-control department with a standard procedure. Numerical analyses are used to simulate the effect of changes in the various parameters on the optimal solution when the probability of a transition between states follows the discrete Weibull distribution.

AB - This paper addresses issues relating to off-line inspection with rework consideration. We develop a mathematical model to determine the first unit inspected and the average number to be inspected in a batch, assuming the involvement of a quality-control department with a standard procedure. Numerical analyses are used to simulate the effect of changes in the various parameters on the optimal solution when the probability of a transition between states follows the discrete Weibull distribution.

KW - Dynamic programming

KW - Off-line inspection

KW - Optimization

KW - Quality control

KW - Rework

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JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -

Economic optimization of off-line inspection with rework consideration

Abstract

Keywords

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