The need for a comprehensive, flexible and adoptable framework for evaluating the performance of a supply chain and its entities has long been felt. It is also recognized that such a framework is more effective if the performances of various processes and entities can be measured on a common scale and benchmarked against world-class standards. In this paper, it is shown how the six- sigma metrics, immensely popular across the globe today, can help an organization in this regard. The motivation behind the integration of the two concepts comes from the versatility of the six-sigma metrics in performance measurement, certain similarities in the two approaches and research results establishing that supply chain management can be enriched through application of quality management principles. A structured methodology, with which the performance of a supply chain and its entities can be effectively measured, monitored and improved with the help of the six-sigma metrics is presented. The method is also illustrated with a case example.
Using the six-sigma metric to measure and improve the performance of a supply chain
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related Research Data
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.