Open Access
·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
Powered by:DOICrossrefiThenticate
The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Integrated model with quality investment and tolerance under the 100% inspection
*Chung-Ho ChenCorresponding authorchench@stust.edu.twDepartment of Industrial Management and Information Southern Taiwan University of Science and TechnologyYong-Kang Distri, Tainan City, 71005, Taiwan, R.O.C.View full profile →
, Tzu-Hsien Leethlee@stust.edu.twDepartment of Industrial Management and Information Southern Taiwan University of Science and TechnologyYong-Kang Distri, Tainan City, 71005, Taiwan, R.O.C.View full profile →
* Corresponding author · click or hover a name for details
In this study, we present the integrated design of process parameters and tolerance. For the process parameters setting, one considers the product with quality loss cost and process adjustment cost which is reciprocal to the variance and proportional to the square of process mean. Then, the quality investment and 100% inspection with process capability are considered.
[1] G. Taguchi, Introduction to Quality Engineering, Asian Productivity Organization, Tokyo (1986).[2] Y. F. Huang, “Trade-off between quality and cost,” Quality & Quantity, vol. 35, pp. 265-276 (2001).[3] S. Shin, P. Kongsuwon, and B. R. Cho, “Development of the parametric tolerance modeling and optimization schemes and cost-effective solutions,” European Journal of Operational Research, vol. 207, pp. 1728-1741 (2010).[4] K. M. Chase, “Least cost tolerance allocation for mechanical assemblies with automated process selection,” Manufacturing Review, vol. 3, pp. 49-59 (1990).[5] A. Jeang, “Tolerance design: choosing optimal tolerance specification in the design of machined parts,” Quality and Reliability Engineering International, vol. 10, pp. 27-35 (1994).[6] J. C. Tsou, “Decision-making on quality investment in a dynamic lot sizing production system,” International Journal of Systems Science, vol. 37, pp. 463-475 (2006).[7] J. M. Chen and J. C. Tsou, “An optimal design for process quality improvement: modeling and application,” Production Planning & Control, vol. 14, pp. 603-612 (2003).[8] R. Ganeshan, S. Kulkarni, and T. Boone, “Production economics and process quality: a Taguchi perspective,” International Journal of Production Economics, vol. 71, pp. 343-350 (2001).[9] J. D. Hong, S. H. Xu, and J. C. Hayya, “Process quality improvement and setup reduction in dynamic lot-sizing,” International Journal of Production Research, vol. 31, pp. 2693-2708 (1993).[10] C. H. Chen, “Optimal process mean and standard deviation settings for rectifying sampling inspection plan with quality investment,” Journal of Statistics and Management Systems, vol. 22, pp. 893-899 (2019).[11] C. H. Chen and C. Y. Chou, “The asymmetric specification limit and quality investment settings for rectifying inspection plan,” Journal of Information and Optimization Sciences, vol. 43, pp. 323-330 (2022).
Views: 61Downloads: 5Citations: 0
Install Journal of Information and Optimization SciencesFaster access from your home screen