TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

Powered by:Powered by

Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
submissions@tarupublications.com
Open Access Research Article

Integrated model with quality investment and tolerance under the 100% inspection

* ,

* Corresponding author · click or hover a name for details

pp. 2063–2070Vol. 46Issue 7October 2025DOI: 10.47974/JIOS-1391XML
Received:
04 Oct 2022
Published Online:
03 Feb 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1391
Pages:
2063–2070

Abstract

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.

Keywords

Subject Classifications

60E05 Probability distributions: general theory

References

[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: 99Downloads: 54Citations: 0