Browse > Article

Effects of Limited Capacity on Tolerance Design for Products With N-Type Quality Characteristics  

Choi, Ik-Jun (Department of Industrial & Information Systems Engineering, Research Center of Industrial Technology, Chonbuk National University)
Hong, Sung-Hoon (Department of Industrial & Information Systems Engineering, Research Center of Industrial Technology, Chonbuk National University)
Publication Information
Journal of Korean Society for Quality Management / v.36, no.2, 2008 , pp. 20-27 More about this Journal
Abstract
Tolerance design has been identified as an important research area and a number of models have been proposed in the literature. This paper investigates the effect of limited capacity on tolerance design for products with nominal-the-best type (N-type) quality characteristics. The model is developed under the assumption that the reprocessed and nonreprocessed items are produced by the same manufacturing process and therefore their quality characteristics are identically and independently distributed. Profit models are constructed which involve four price/cost components; selling price, cost incurred by imperfect quality, reprocessing and quality inspection costs. Methods of finding the optimal tolerance limits are presented, and a numerical example is given. Sensitivity analyses are also performed to study the effect of a process standard deviation on this model.
Keywords
Limited Capacity; N-type Quality Characteristics; Profit Models; Tolerance Design;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cho, B.R. and Govindaluri, M.S. (2002), 'Optimal Screening Limits in Multi-Stage Assemblies', International Journal of Production Research, Vol. 40, pp. 1993-2009   DOI   ScienceOn
2 Govindaluri, M.S., Shin, S., and Cho, B.R. (2004), 'Tolerance Optimization Using the Lambert W Function: an Empirical Approach', International Journal of Production Research, Vol. 42, pp. 3235-3251   DOI   ScienceOn
3 Hui, Y.V. (1990), 'Economic Design of a Complete Inspection for Bivariate Products', International Journal of Production Research, Vol. 28, pp. 259-265   DOI
4 Lee, M.K. and Kim, G.S. (1994), 'Determination of the Optimal Target Values for a Filling Process When Inspection Is Based on a Correlated Variable', International Journal of Production Economics, Vol. 37, pp. 205-213   DOI   ScienceOn
5 Misiorek, V.I. and Barnett, N.S. (2000), 'Mean Selection for Filling Processes under Weights and Measures Requirements', Journal of Quality Technology, Vol. 32, pp. 111-121   DOI
6 Ng, W.C. and Hui, Y.V. (1996), 'Economic Design of a Complete Inspection Plan with Interactive Quality Improvement', European Journal of Operational Research, Vol. 96, pp. 122-129
7 Plante, R. (2002), 'Multivariate Tolerance Design for a Quadratic Design Parameter Model', IIE Transactions, Vol. 34, pp. 565-571
8 Tang, K. (1988), 'Economic Design of Product Specifications for a Complete Inspection Plan', International Journal of Production Research, Vol. 26, pp. 203-217   DOI   ScienceOn
9 Hong, S.H. and Elsayed, E.A. (1998), 'Economic Complete Inspection Plans with Multi-Decision Alternatives', International Journal of Production Research, Vol. 36, pp. 3367-3378   DOI   ScienceOn
10 Duffuaa, S.O., and Al-Najjar, H.J. (1995), 'An Optimal Complete Inspection Plan for Critical Multicharacteristic Components', Journal of Operational Research Society, Vol. 46, pp. 930-942   DOI
11 Hong, S.H. and Elsayed, E.A. (1999), 'The Optimum Mean for Processes with Normally Distributed Measurement Error', Journal of Quality Technology, Vol. 31, pp. 338-344   DOI
12 Jeang, A. (1999), 'Optimal Tolerance Design by Response Surface Methodology', International Journal of Production Research, Vol. 37, pp. 3275-3288   DOI
13 Hong, S.H., Kwon, H.M., Lee, M.K. and Cho, B.R. (2006), 'Joint Optimization in Process Target and Tolerance Limit for L-Type Qaulity Characteristics', International Journal of Production Research, Vol. 44, pp. 3501-3060
14 Golhar, D.Y. (1987), 'Determination of the Best Mean Contents for a Canning Problem', Journal of Quality Technology, Vol.19, pp. 82-84   DOI
15 Hong, S.H. and Cho, B.R (2007), 'Joint Optimization of Process Target Mean and Tolerance Limit with Measurement Errors under Multi-Decision Alternative', European Journal of Operational Research, Vol. 183, pp. 327-335   DOI   ScienceOn
16 Maghsoodloo, S. and Li, M.H.C. (2000), 'Optimal Asymmetric Tolerance Design', IIE Transactions, Vol. 32, pp. 1127-1137
17 Golhar, D.Y. and Pollock, S.M. (1988), 'Determination of the Optimal Process Mean and the Upper Limit for a Canning Problem', Journal of Quality Technology, Vol. 20, pp. 188-192   DOI
18 Schmidt, R.L. and Pfeifer, P.E. (1991), 'Economic Selection of the Mean and Upper Limit for a Canning Problem with Limited Capacity', Journal of Quality Technology, Vol. 23, pp. 312-317   DOI
19 Moskowitz, H., Plante, R. and Duffy, J. (2001), 'Multivariate Tolerance Design Using Quality Loss', IIE Transactions, Vol. 33, pp. 437-448