Double-tolerance design for manufacturing systems

References

• Abdul-Kader, W., Ganjavi, O. and Solaiman, A. (2010) An integrated model for optimisation of production and quality costs. International Journal of Production Research, 48, 7357–7370.
   Web of Science ®Google Scholar
• Bowling, S.R., Khasawneh, M.T., Kaewkuekool, S. and Cho, B.R. (2004) A Markovian approach to determining optimum process target levels for a multi-stage serial production system. European Journal of Operational Research, 159, 636–650.
   Web of Science ®Google Scholar
• Chan, W.M., Ibrahim, R.N. and Lochert, P.B. (2005) Evaluating the product quality level under multiple L-type quality characteristics. The International Journal of Advanced Manufacturing Technology, 27, 90–95.
   Web of Science ®Google Scholar
• Chen, C.-H. (2006) The optimum selection of imperfect quality economic manufacturing quantity and process mean by considering quadratic quality loss function. Journal of the Chinese Institute of Industrial Engineers, 23, 12–19.
   Google Scholar
• Chen, S.-L. and Chung, K.-J. (1996) Selection of the optimal precision level and target value for a production process: The lower-specification-limit case. IIE Transactions, 28, 979–985.
   Web of Science ®Google Scholar
• Cho, B.R., Kim, Y.J., Kimbler, D.L. and Phillips, M.D. (2000) An integrated joint optimization procedure for robust and tolerance design. International Journal of Production Research, 38, 2309–2325.
   Web of Science ®Google Scholar
• Chuang, C.-J. and Wu, C.-W. (2019) Determining optimal process mean and quality improvement in a profit-maximization supply chain model. Quality Technology & Quantitative Management, 16, 154–169.
   Web of Science ®Google Scholar
• Darwish, M.A., Abdulmalek, F. and Alkhedher, M. (2013) Optimal selection of process mean for a stochastic inventory model. European Journal of Operational Research, 226, 481–490.
   Web of Science ®Google Scholar
• Dodd, C., Scanlan, J., Marsh, R. and Wiseall, S. (2015) Improving profitability of optimal mean setting with multiple feature means for dual quality characteristics. The International Journal of Advanced Manufacturing Technology, 81, 1767–1780.
   Web of Science ®Google Scholar
• Fathi, Y. (1990) Producer-consumer tolerances. Journal of Quality Technology, 22, 138–145.
   Web of Science ®Google Scholar
• Huang, M.-F., Zhong, Y.-R. and Xu, Z.-G. (2005) Concurrent process tolerance design based on minimum product manufacturing cost and quality loss. The International Journal of Advanced Manufacturing Technology, 25, 714–722.
   Web of Science ®Google Scholar
• Jeang, A. (1997) An approach of tolerance design for quality improvement and cost reduction. International Journal of Production Research, 35, 1193–1211.
   Web of Science ®Google Scholar
• Jin, S., Zheng, C., Yu, K. and Lai, X. (2010) Tolerance design optimization on cost–quality trade-off using the Shapley value method. Journal of Manufacturing Systems, 29, 142–150.
   Web of Science ®Google Scholar
• Kapur, K.C. (1988) An approach for development of specifications for quality improvement. Quality Engineering, 1, 63–77.
   Google Scholar
• Kim, Y.J. and Cho, B.R. (2001) The use of response surface designs in the selection of optimum tolerance allocation. Quality Engineering, 13, 35–42.
   Google Scholar
• Krenek, R., Cha, J., Cho, B.R. and Sharp, J.L. (2017) Development of statistical convolutions of truncated normal and truncated skew normal distributions with applications. Journal of Statistical Theory and Practice, 11, 1–25.
   Web of Science ®Google Scholar
• Lu, C., Zhao, W.-H. and Yu, S.-J. (2012) Concurrent tolerance design for manufacture and assembly with a game theoretic approach. The International Journal of Advanced Manufacturing Technology, 62, 303–316.
   Web of Science ®Google Scholar
• Muthu, P., Dhanalakshmi, V. and Sankaranarayanasamy, K. (2009) Optimal tolerance design of assembly for minimum quality loss and manufacturing cost using metaheuristic algorithms. The International Journal of Advanced Manufacturing Technology, 44, 1154–1164.
   Web of Science ®Google Scholar
• Ojha, D., Sarker, B.R. and Biswas, P. (2007) An optimal batch size for an imperfect production system with quality assurance and rework. International Journal of Production Research, 45, 3191–3214.
   Web of Science ®Google Scholar
• Phillips, M.D. and Cho, B.-R. (1998) An empirical approach to designing product specifications: A case study. Quality Engineering, 11, 91–100.
   Google Scholar
• Shiau, Y.-R. (2002) Inspection resource assignment in a multistage manufacturing system with an inspection error model. International Journal of Production Research, 40, 1787–1806.
   Web of Science ®Google Scholar
• Shin, S. and Cho, B.R. (2007) Integrating a bi-objective paradigm to tolerance optimization. International Journal of Production Research, 45, 5509–5525.
   Web of Science ®Google Scholar
• Speckhart, F.H. (1972) Calculation of tolerance based on a minimum cost approach. Journal of Engineering for Industry, 94, 447–453.
   Web of Science ®Google Scholar
• Spotts, M.F. (1973) Allocation of tolerances to minimize cost of assembly. Journal of Engineering for Industry, 95, 762–764.
   Web of Science ®Google Scholar
• Tancrez, J.-S., Semal, P. and Chevalier, P. (2009) Histogram based bounds and approximations for production lines. European Journal of Operational Research, 197, 1133–1141.
   Web of Science ®Google Scholar