A Markovian approach to determining process means with dual quality characteristics |
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Authors: | Mohammad T. Khasawneh Shannon R. Bowling Byung Rae Cho |
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Affiliation: | 1. Department of Systems Science and Industrial Engineering,State University of New York at Binghamton,Binghamton,New York 13902-6000,USA 2. Department of Engineering Management and Systems Engineering,Old Dominion University,Norfolk,VA 23529-0236,USA 3. Department of Industrial Engineering,Clemson University,Clemson,SC 29634-0920,USA |
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Abstract: | This paper studies a production system where products are produced continuously and whose specification limits are specified for screening inspection.In this paper,we consider dual quality characteristics and different costs associated with each quality characteristic that falls below a lower specification limit or above an upper specification limit.Due to these different costs,the expected total profit will greatly depend on the process parameters,especially a process mean.This paper develops a Markovian-based model for determining the optimum process means with the consideration of dual quality characteristics in a single-stage system.The proposed model is then illustrated through a numerical example and sensitivity analysis is performed to validate the model.The results showed that the optimum process mean for both quality characteristics have a significant effect on the performance of the system.Since the literature survey shows that dealing with multi-quality characteristics is extremely limited,the proposed model,coupled with the Markovian approach,provides a unique contribution to this field. |
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Keywords: | Single-stage production optimum process mean Markov chains dual quality characteristics |
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