An Empirical Approach to Designing Product Specifications: A Case Study

Phillips, Michael; Cho, Byung-Rae

doi:10.1080/08982119808919215

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…Chase et al (1990) and Kim and Cho (1999) investigated the effect of tolerances on manufacturing cost and proposed models to determine tolerances for the minimization of manufacturing cost. Fathi (1990), Phillips and Cho (1999), and Kim and Cho (2000) studied the issue of tolerance design from the viewpoint of functional performance, where functional performance is expressed in monetary terms using the Taguchi quality loss concept (Taguchi 1986). Tang and Tang (1989) discussed an economic model for selecting the most profitable tolerance in a complete inspection plan for the case where inspection cost is a linear function of the tolerance.…”

Section: Literature Reviewmentioning

confidence: 99%

Is it possible to control and optimize technology transfer process?

Falco

2012

J Innov Entrep

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Is it possible to control and optimize technology transfer process? Engineers and quality practitioners are often faced with the problem of determining the optimal choice of key factor in the tolerance process evaluation regarding the quality of the process to be monitored. To guarantee a prefixed quality level of the monitored process, lower specification limit (LSL) and upper specification limit (USL) for a certain quality characteristic have been determined. These limits, LSL and USL, could be defined as μ − δσ and μ + δσ, respectively, where δ > 0. Here, the key factor δ represents the number of standard deviations at which each specification limit is located from the process mean. This paper shows an innovative use of SPC tools in a different field aspect, one in which they are usually employed. Generally, these instruments are used for the control of the industrial process or service, but they could be used in an innovative way to control and to optimize a particular process: the technology transfer process. When determining the key factor level, it is important to consider a trade-off between costs incurred by the supplier, in terms of technology offer, and the user, in terms of technology request, of the process examined. This paper shows how these costs are quantified and integrated; it also shows how a particular mathematical tool, the Lambert W function, is incorporated into this choice optimization problem by deriving a closed-form solution. This proposed model and solution may be appealing to managers and technology transfer operators since the Lambert function is found in a number of standard optimization software. Experimental results are presented and related to a real data set of technology transfer actions developed by the Technology Transfer Office.

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Section: Literature Reviewmentioning

confidence: 99%

Is it possible to control and optimize technology transfer process?

Falco

2012

J Innov Entrep

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“…Speckhart 2 , Spotts 3 , Chase et al 4 , and Kim and Cho 5 investigated the effect of tolerances on manufacturing cost, and proposed models to determine tolerances for the minimization of manufacturing cost. Fathi 6 , Phillips and Cho 7 , and Kim and Cho 8 studied the issue of tolerance design from the viewpoint of functional performance, where functional performance is expressed in monetary terms by using the Taguchi quality loss concept. Tang 9 discussed an economic model for selecting the most profitable tolerance in a complete inspection plan for the case where inspection cost is a linear function of the tolerance.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating the LambertW Function to a Tolerance Optimization Problem

Shin¹,

Govindaluri²,

Cho³

2005

Qual. Reliab. Engng. Int.

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This paper explores the integration of the Lambert W function to a tolerance optimization problem with the assessment of costs incurred by both the customer and a manufacturer. By trading off manufacturing and rejection costs, and a quality loss, this paper shows how the Lambert W function, widely used in physics, can be efficiently applied to the tolerance optimization problem, which may be the first attempt in the literature related to tolerance optimization and synthesis. Using the concept of the Lambert W function, a closed-form solution is derived, which may serve as a means for quality practitioners to make a quick decision on their optimal tolerance without resorting to rigorous optimization procedures using numerical methods. A numerical example is illustrated and a sensitivity analysis is performed.

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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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An Empirical Approach to Designing Product Specifications: A Case Study

Cited by 19 publications

References 10 publications

Is it possible to control and optimize technology transfer process?

Is it possible to control and optimize technology transfer process?

Integrating the LambertW Function to a Tolerance Optimization Problem

Determining optimal process mean of two-market products

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