Integrated model for determining the optimal initial settings of the process mean and the optimal production run assuming quadratic loss functions

M. A. Rahim; F. Tuffaha

doi:10.1080/00207540410001666233

Integrated model for determining the optimal initial settings of the process mean and the optimal production run assuming quadratic loss functions

M. A. Rahim^*, F. Tuffaha

^*Corresponding author for this work

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

68 Scopus citations

Abstract

Chen and Chung (1996) addressed the problem of the joint determination of the optimal process mean and production run for an industrial process. Their study considered a product with an upper and a lower specification limit. The optimal process mean and optimal production run were obtained by balancing the profit of meeting and not meeting the specification limits. However, Chen and Chung did not consider the quality cost for the product within the specification limits. The present paper revisits the problem and incorporates the quality cost by introducing a Taguchi loss function for determining simultaneously the optimal process mean and production run. As per Chen and Chung, the present paper assumes a 100% inspection scheme. It also investigates the differences between Chen and Chung's approach and the Reward Theorem approach. A sample inspection scheme is also proposed. Numerical examples are provided to demonstrate the application of the model. A sensitivity analysis of the model is provided. Some new directions for further research are also outlined.

Original language	English
Pages (from-to)	3281-3300
Number of pages	20
Journal	International Journal of Production Research
Volume	42
Issue number	16
DOIs	https://doi.org/10.1080/00207540410001666233
State	Published - 15 Aug 2004

Bibliographical note

Funding Information:
Financial support from the Natural Science and Engineering Research Council (NSERC) of Canada is gratefully acknowledged. The authors also acknowledge the King Fahd University of Petroleum and Minerals (KFUPM) for facilitating the project. The many insightful comments and suggestions made by the Editor and reviewers on previous version of the manuscript are greatly appreciated. The valuable suggestions of Professor G. Srinivasan and the assistance of K. W. Wong for typing and proofreading the manuscript are also greatly acknowledged.

ASJC Scopus subject areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1080/00207540410001666233

Cite this

@article{ef448b17372f443ab96601eca4a119ab,

title = "Integrated model for determining the optimal initial settings of the process mean and the optimal production run assuming quadratic loss functions",

abstract = "Chen and Chung (1996) addressed the problem of the joint determination of the optimal process mean and production run for an industrial process. Their study considered a product with an upper and a lower specification limit. The optimal process mean and optimal production run were obtained by balancing the profit of meeting and not meeting the specification limits. However, Chen and Chung did not consider the quality cost for the product within the specification limits. The present paper revisits the problem and incorporates the quality cost by introducing a Taguchi loss function for determining simultaneously the optimal process mean and production run. As per Chen and Chung, the present paper assumes a 100\% inspection scheme. It also investigates the differences between Chen and Chung's approach and the Reward Theorem approach. A sample inspection scheme is also proposed. Numerical examples are provided to demonstrate the application of the model. A sensitivity analysis of the model is provided. Some new directions for further research are also outlined.",

author = "Rahim, \{M. A.\} and F. Tuffaha",

note = "Funding Information: Financial support from the Natural Science and Engineering Research Council (NSERC) of Canada is gratefully acknowledged. The authors also acknowledge the King Fahd University of Petroleum and Minerals (KFUPM) for facilitating the project. The many insightful comments and suggestions made by the Editor and reviewers on previous version of the manuscript are greatly appreciated. The valuable suggestions of Professor G. Srinivasan and the assistance of K. W. Wong for typing and proofreading the manuscript are also greatly acknowledged.",

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AU - Rahim, M. A.

AU - Tuffaha, F.

N1 - Funding Information: Financial support from the Natural Science and Engineering Research Council (NSERC) of Canada is gratefully acknowledged. The authors also acknowledge the King Fahd University of Petroleum and Minerals (KFUPM) for facilitating the project. The many insightful comments and suggestions made by the Editor and reviewers on previous version of the manuscript are greatly appreciated. The valuable suggestions of Professor G. Srinivasan and the assistance of K. W. Wong for typing and proofreading the manuscript are also greatly acknowledged.

PY - 2004/8/15

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N2 - Chen and Chung (1996) addressed the problem of the joint determination of the optimal process mean and production run for an industrial process. Their study considered a product with an upper and a lower specification limit. The optimal process mean and optimal production run were obtained by balancing the profit of meeting and not meeting the specification limits. However, Chen and Chung did not consider the quality cost for the product within the specification limits. The present paper revisits the problem and incorporates the quality cost by introducing a Taguchi loss function for determining simultaneously the optimal process mean and production run. As per Chen and Chung, the present paper assumes a 100% inspection scheme. It also investigates the differences between Chen and Chung's approach and the Reward Theorem approach. A sample inspection scheme is also proposed. Numerical examples are provided to demonstrate the application of the model. A sensitivity analysis of the model is provided. Some new directions for further research are also outlined.

AB - Chen and Chung (1996) addressed the problem of the joint determination of the optimal process mean and production run for an industrial process. Their study considered a product with an upper and a lower specification limit. The optimal process mean and optimal production run were obtained by balancing the profit of meeting and not meeting the specification limits. However, Chen and Chung did not consider the quality cost for the product within the specification limits. The present paper revisits the problem and incorporates the quality cost by introducing a Taguchi loss function for determining simultaneously the optimal process mean and production run. As per Chen and Chung, the present paper assumes a 100% inspection scheme. It also investigates the differences between Chen and Chung's approach and the Reward Theorem approach. A sample inspection scheme is also proposed. Numerical examples are provided to demonstrate the application of the model. A sensitivity analysis of the model is provided. Some new directions for further research are also outlined.

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JF - International Journal of Production Research

IS - 16

ER -

Integrated model for determining the optimal initial settings of the process mean and the optimal production run assuming quadratic loss functions

Abstract

Bibliographical note

ASJC Scopus subject areas

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