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- Title
Modified quick-switch-based sampling inspection system with Six-Sigma yield considerations for economically filtering unreliable suppliers.
- Authors
Wang, To-Cheng; Kung, Jan-Yee; Hsu, Bi-Min; Shu, Ming-Hung
- Abstract
The variables quick-switch sampling (VQSS) systems operate by alternating between normal and tightened sampling plans; intrinsically, they efficiently employ the preceding inspection result to provide a dynamic lot disposition mechanism for validating quality capability. So far, most studies of the VQSS systems have focused on the system that applies adjustable acceptance criteria, and changeover of the required sample sizes has rarely been discussed. However, from a managerial perspective, these two conventional types of VQSS systems have different advantages in lot-acceptance sampling practice. To accommodate the sampling strengths of both systems, a modified VQSS (MVQSS) system appraised by the process yield index was developed in this paper. The proposed MVQSS system can alter both the acceptance criterion and the sample size required for tightening lot disposition to obtain superior inspection performance. Meanwhile, practitioners can transform the MVQSS system into two conventional systems when specific conditions are specified; that is, the MVQSS system can be perceived as a generalized VQSS system. On the report of a series of performance comparisons and investigations, we tabulated and summarized the three systems' strengths for some managerial suggestions and proposed a lot-inspection progression process for different stages of the supplier-buyer trust relationship. The results convey clearly that only the suppliers with reliable and Six-Sigma yield submission can benefit from reducing inspection costs. Furthermore, to enhance the proposed systems' practicability, we introduced a web-based app for distribution professionals to create their optimal systems' design online. Finally, a real-world case was demonstrated to illustrate the practical applicability of the proposed system.
- Subjects
SAMPLING (Process); ACCEPTANCE sampling; SUPPLIERS; SAMPLE size (Statistics); HOUGH transforms
- Publication
International Journal of Advanced Manufacturing Technology, 2022, Vol 119, Issue 9/10, p6693
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-021-08210-z