Designing the optimal process target levels for multiple quality characteristics

Teeravaraprug, Jirarat; Cho, Byung Rae

doi:10.1080/00207540110073046

Cited by 46 publications

(13 citation statements)

References 38 publications

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“…The problem of joint economic selection of target mean, target variance and production run under the Taguchi loss function is being investigated by the authors. Determination of the optimal production run and multiple process means might be topics for future study (Rahim and Raouf 1988, Arcelus and Rahim 1991, Teeravaraprug and Cho 2002, Chen and Chou 2003b. Joint economic inspection and a maintenance scheme using a quadratic loss function would also be an interesting area for further research (Tagaras 1994).…”

Section: Resultsmentioning

confidence: 98%

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

Rahim

Tuffaha

2004

International Journal of Production Research

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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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Section: Resultsmentioning

confidence: 98%

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

Rahim

Tuffaha

2004

International Journal of Production Research

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“…Mathematical details of the loss function can be found in Cho and Leonard [20], Phillips and Cho [21,22], Kim and Cho [23], and Teeravaraprug and Cho [24]. In this research, two market products are considered.…”

Section: Quality Costmentioning

confidence: 99%

Determining optimal process mean of two-market products

Teeravaraprug¹

2004

Int J Adv Manuf Technol

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The determination of the optimal mean for a manufacturing process involves a complex and financially important decision. This study examines a situation where a product is classified into two grades with respect to market specifications. It is reasonably assumed that each grade has its price and manufacturers cannot produce every item to a good grade due to the uncontrollable variation of product performance. This study attempts to determine the optimal process mean that gives a maximum profit to the manufacturer. The expected profit function for such situation would consider the profit associated with all product grades as well as the loss to the consumer upheld by the modern concept of Taguchi's loss function. A method for identifying the optimal process target that reflects such a situation is given by an optimization model. Numerical examples are provided to illustrate the use of the model. Finally, discussion and conclusion are given.

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“…Boucher and Jafari (1991) and Al-Sultan (1994) considered the attribute single sampling and the rectifying sampling plans applied to the selection of an optimal process mean. Elsayed and Chen (1993), Arcelus and Rahim (1994), and Teeravaraprug and Cho (2002) proposed models for simultaneously selecting optimum target means of multiple characteristics, such as variable and attribute quality characteristics. Chen and Chung (1996), and Duffuaa and Siddiqui (2003) studied the effects of measurement errors on the process target models.…”

Section: Introductionmentioning

confidence: 99%

The optimum common process mean and screening limits for a production process with multiple products

Park

Kwon

Hong

et al. 2011

Computers & Industrial Engineering

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Designing the optimal process target levels for multiple quality characteristics

Cited by 46 publications

References 38 publications

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

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

Determining optimal process mean of two-market products

The optimum common process mean and screening limits for a production process with multiple products

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