A DCBA-DEA methodology for selecting suppliers with supply risk

Wai Peng Wong

International Journal of Productivity and Quality Management, 2011, vol. 8, issue 3, 296-312

Abstract: With dynamic changes in the supply chain environment, suppliers have a tendency to exhibit risk or uncertainties in their performance. As risk increases, there is an associated increase in the amount of data required to monitor and manage the performance. Based on this understanding, a novel data collection budget allocation (DCBA) methodology for measuring and analysing vendor performance with supply risk has been developed. This paper makes contributions in the theoretical, conceptual and practical developments of the methodology. The methodology can quantitatively prioritise data collection efforts and provide a measure for a more accurate efficiency score. This DCBA methodology provides a tool for measuring efficiency in the real environment, which is stochastic in nature.

Keywords: DEA; data envelopment analysis; supplier selection; supply risk; data collection budget allocation; vendor performance; performance measurement; efficiency performance; supply chain management; SCM. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=42510 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:8:y:2011:i:3:p:296-312

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().