Supply chain performance measurement system: an overview

Pranav G. Charkha and Santosh B. Jaju

International Journal of Business Performance and Supply Chain Modelling, 2014, vol. 6, issue 1, 40-60

Abstract: There has been exponential increase in the research of supply chain performance measurement system (SCPMS). Successful supply chains use measurement systems as a driver to achieve their organisational goals and process effectiveness. Various frameworks designed for SCPMS have been studied to study the research gaps and limitations and need arise for development of proactive and integrated PMS; also an approach is needed to focus the SCM with different perspective. Selecting appropriate supply chain performance measures is difficult due to complexity of these systems. The measures for SCPMS should be functions based. The objective of this paper is to suggest an integrated SCPMS for the production process activities, useful for internal supply chain management. The development of SCPMS is criteria dependent, hence proposed use of analytical hierarchy process (AHP) for deciding the ranking prioritising the criteria, and to integrate the improvement process Six Sigma metrics is used. The selection of performance measures/metrics group also kept unique and precisely related with actual production process. Metric groups are inventory scheduling, production operation scheduling and human resource scheduling.

Keywords: supply chain management; SCM; performance measurement systems; PMS; performance measures; analytical hierarchy process; AHP; six sigma metrics; supply chain performance; inventory scheduling; production operations scheduling; human resource scheduling. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=58892 (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:ijbpsc:v:6:y:2014:i:1:p:40-60

Access Statistics for this article

More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().