標題: Bootstrap approach for supplier selection based on production yield
作者: Wu, C. -W.
Shu, M. H.
Pearn, W. L.
Liu, K. H.
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: bootstrap resampling;error probability;lower confidence bound;production yield;supplier selection
公開日期: 2008
摘要: Current manufacturing industries have increased their level of out-sourcing and relied more heavily on their supply chain as a source of competitive advantage. Supplier selection decisions have become an important component of production management. Those decisions have a significant impact on a firm's marketing competition, and suppliers may account for a large portion of the production cost. Production quality is one of the key factors in supplier evaluation. The manual of supplier certification includes a discussion of process capability analysis, which recommends a procedure for evaluating the most prevalent process capability index Cpk. However, the recommended procedure is applicable only when evaluating an individual supplier's performance. In this paper, we apply the bootstrap method to the supplier selection problem. We construct lower confidence intervals for the capability difference and ratio between two given suppliers. Performance comparisons are made among various bootstrap methods in terms of error probability and selection power. For convenience of applications, the sample sizes required for various designated selection power are also tabulated.
URI: http://hdl.handle.net/11536/9963
http://dx.doi.org/10.1080/00207540701278414
ISSN: 0020-7543
DOI: 10.1080/00207540701278414
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 46
Issue: 18
起始頁: 5211
結束頁: 5230
Appears in Collections:Articles


Files in This Item:

  1. 000259100300012.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.