Combined Robust Parameter and Tolerance Design Using Orthogonal Arrays

Jeang, Angus; Chang, Chung-Chieh

doi:10.1007/s001700200046

Cited by 25 publications

(25 citation statements)

References 13 publications

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“…A number of trials have been carried out for the two different cases outlined in Table 4 for different numbers, from 7 bits to 21 bits, for all the objective functions mentioned in Table 8. For demonstration purposes, Table 9 shows the outcome of the objective function of minimizing the manufacturing cost for different bit numbers (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21). For case 1, the best results are obtained in the bit numbers between 11 and 14.…”

Section: Resultsmentioning

confidence: 99%

“…The total tolerance cost is determined using equation (8). The model of machining time calculation as well as the i th operation machining time can be determined using Equation (9). The total machining time of the product is estimated using Equation (10).…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Jeang et al [9] and Singh et al [10] considered wheel mounting assembly (consisting of two interrelated dimensional chains) for minimizing the total manufacturing cost using an exponential cost function with optimum tolerance allocation. Singh et al [11] assumed sufficiently wide precision limits for the comparison of the results obtained with the ESLM.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Geetha¹,

Ravindran²,

Kumar³

et al. 2012

Int J Adv Manuf Technol

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This paper presents a new approach to the tolerance synthesis of the component parts of assemblies by simultaneously optimizing three manufacturing parameters: manufacturing cost, including tolerance cost and quality loss cost; machining time; and machine overhead/idle time cost. A methodology has been developed using the Genetic Algorithm (GA) technique to solve this multiobjective optimization problem. The effectiveness of the proposed methodology has been demonstrated by solving a wheel mounting assembly problem consisting of five components, two subassemblies, two critical dimensions, two functional tolerances, and eight operations. Significant cost saving can be achieved by employing this methodology.

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Section: Resultsmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Geetha¹,

Ravindran²,

Kumar³

et al. 2012

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…It is unfortunate that people are not aware of the potential savings in test time and in money offered by more efficient testing strategies. In this regard, Dr. Taguchi developed a simple design of experiment that can be efficiently used to investigate optimal parameters of a system (Jeang and Chang, 2002;Ross, 1996;Sahooa et al, 2008;Taguchi et al, 1989). For this study, the strength of solder joints, a the-larger-the-better-type (LTB-type) quality characteristic, was chosen as a response value, with the Taguchi method employed to get optimal process parameters of HBSP.…”

Section: Optimizing Process Parameters By the Taguchi Methodsmentioning

confidence: 98%

Optimizing process parameters of hot-bar soldering process through quality function deployment and Taguchi method

Jeang

Chung

Chen

et al. 2009

Journal of Materials Processing Technology

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“…This approach cannot always guarantee a cost-effective procedure to achieve acceptable quality features 19 . To address this, Li and Wu 20 proposed a method for simultaneous parameter and tolerance design.…”

Section: Simultaneous Parameter and Tolerance Designmentioning

confidence: 99%

A Novel Approach to Simultaneous Robust Design of Product Parameters and Tolerances Using Quality Loss and Multivariate ANOVA Concepts

Hazrati‐Marangaloo

Shahriari

2016

Quality & Reliability Eng

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Design and development of high quality products are of utmost importance to any production plant. Product design consists of parameter design and tolerance design, which affect the product performances and the manufacturing costs, respectively. Most products involve more than one quality feature. Design and development of such products raise multi-response surface problems in which it is necessary to determine the optimal values of parameters and the tolerances for all responses simultaneously. In this research, an approach for simultaneous robust parameter and tolerance design is proposed to deal with multi-response problems. The proposed method employs quality loss concept and one-way multivariate analysis of variance. Two simulation studies are performed to validate the applicability of the proposed method. Research findings show that the proposed method performs better in quality improvement as well as in cost reduction than the existing methods. The variances of the responses are also lower than those of the other methods, that is, the proposed method results in a more robust approach to product design.

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Combined Robust Parameter and Tolerance Design Using Orthogonal Arrays

Cited by 25 publications

References 13 publications

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Optimizing process parameters of hot-bar soldering process through quality function deployment and Taguchi method

A Novel Approach to Simultaneous Robust Design of Product Parameters and Tolerances Using Quality Loss and Multivariate ANOVA Concepts

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