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Absorbing Markov Chain Models to Determine Optimum Process Target Levels in Production Systems with Dual Correlated Quality Characteristics

Pakistan Journal of Statistics and Operation Research

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Field Value
 
Title Absorbing Markov Chain Models to Determine Optimum Process Target Levels in Production Systems with Dual Correlated Quality Characteristics
 
Creator Fallah Nezhad, Mohammad Saber; Assistant Professor of Industrial Engineering, Yazd University, Yazd, Iran
Hosseini Nasab, Hasan; Associate Professor of Industrial Engineering, Yazd University, Yazd, Iran
 
Subject Operation Research;Data Analysis
Markov Chain, Process Mean, Bi-variate Normal Distribution
 
Description For a manufacturing organization to compete effectively in the global marketplace, cutting costs and improving overall efficiency is essential.  A single-stage production system with two independent quality characteristics and different costs associated with each quality characteristic that falls below a lower specification limit (scrap) or above an upper specification limit (rework) is presented in this paper. The amount of reworks and scraps are assumed to be depending on the process parameters such as process mean and standard deviation thus the expected total profit is significantly dependent on the process parameters. This paper develops a Markovian decision making model for determining the process means. Sensitivity analyzes is performed to validate, and a numerical example is given to illustrate the proposed model. The results showed that the optimal process means extremely effects on the quality characteristics’ parameters.
 
Publisher College of Statistical and Actuarial Sciences
 
Contributor
 
Date 2012-03-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.pjsor.com/index.php/pjsor/article/view/268
10.18187/pjsor.v8i2.268
 
Source Pakistan Journal of Statistics and Operation Research; Vol 8. No. 2, 2012; 205-212
2220-5810
1816-2711
 
Language eng
 
Relation http://www.pjsor.com/index.php/pjsor/article/view/268/201