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A dynamic programming approach for economic optimization of inspection strategies in a multi-stage manufacturing system

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A dynamic programming approach for economic optimization of inspection strategies in a multi-stage manufacturing system

Agrawal, Ashish Kumar (2007) A dynamic programming approach for economic optimization of inspection strategies in a multi-stage manufacturing system. Masters thesis, Concordia University.

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Abstract

In the past several decades, significant amount of resources have been spent by many manufactures for product quality improvement. Quality improvement efforts involve mitigating the impact of manufacturing variation through robust design, statistical process control (SPC), and inspection. This research focuses on manufacturing system design issues related to inspection. The problem of determining the optimal inspection strategy for a given multi-stage manufacturing system i.e. inspection strategy that will result in the lowest total processing cost is modeled as a joint optimization of inspection location and type. Three inspection options considered in this work are no inspection, full inspection and sampling inspection. This thesis presents a generic mathematical model and employs dynamic programming to identify the optimal inspection plan with minimum total processing cost. Numerical examples are presented to describe the solution procedure. The conclusions are supported by a factorial experiment. A sensitivity analysis is also conducted to gauge the impact of inspection errors on the inspection strategy. The developed model is extensible and applicable to solving manufacturing and inspection allocation problems. Keywords. Quality improvement, multistage manufacturing system, inspection strategy, full inspection, sampling inspection, dynamic programming

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Agrawal, Ashish Kumar
Pagination:xi, 92 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Date:2007
Thesis Supervisor(s):Chen, Mingyuan
ID Code:975414
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:07
Last Modified:18 Jan 2018 17:40
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