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A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement

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  • Chien-Wei Wu
  • Zih-Huei Wang
  • Ming-Hung Shu

Abstract

A well-established scheme and mechanism for deciding product acceptance is perceived as a win-win situation for the long-term supplier–buyer relationship. In this paper, we develop a lots-dependent variables sampling scheme for product acceptance determination. The dependent state is based on the sample information of the process capability index that incorporates the supplier’s process loss and the buyer’s demanded specifications requirement. This main scheme is implemented by a three-rule process that accepts or rejects a related lot conditional on the sample results of past lots. The plan-operational parameters satisfying the desired quality levels and constraining the supplier–buyer risks are determined by a non-linear optimisation model. In performance comparisons, our proposed plan demonstrated higher cost effectiveness and discriminatory power than the traditional variables single sampling plan. Finally, industrial applicability of our recommended sampling plans was investigated in a case study.

Suggested Citation

  • Chien-Wei Wu & Zih-Huei Wang & Ming-Hung Shu, 2015. "A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6308-6319, October.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:20:p:6308-6319
    DOI: 10.1080/00207543.2015.1053580
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    Cited by:

    1. Chien-Wei Wu & Zih-Huei Wang, 2017. "Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2351-2364, April.
    2. Wu, Chien-Wei & Wang, Zih-Huei, 2024. "A cost-effective skip-lot sampling scheme using loss-based capability index for product acceptance determination," International Journal of Production Economics, Elsevier, vol. 273(C).

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