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Supply chain performance measurement and improvement system: A MCDA-DMAIC methodology

Syed Tahaur Rehman (NED University of Engineering and Technology, Karachi, Pakistan)
Sharfuddin Ahmed Khan (University of Sharjah College of Engineering, Sharjah, United Arab Emirates)
Simonov Kusi-Sarpong (Eco-Engineering and Management Consult Limited, Accra, Ghana)
Syed Mehmood Hassan (NED University of Engineering and Technology, Karachi, Pakistan)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 14 September 2018

Issue publication date: 15 October 2018




The purpose of this study is to adopt a supply chain performance measurement (SCPM) framework as proposed by (Dweiri and Khan 2012) to model a novel SCPM index (SCPMI) system to measure and improve supply chain performance (SCP).


The adopted SCPM framework developed by Dweiri and Khan (2012) is used to model a generic SCPMI framework aided by analytic hierarchy process (AHP) method and inputs from industrial experts. To exemplify the applicability and efficiency of the generic SCPMI system, an automobile assembling company from an emerging economy was used. This SCMPI system is used to measure, improve and measure post-improvement SCP guided by DMAIC (define, measure, analyze, improve and control) methodology.


The study’s initial measurement results showed an average SCP of the case company over a four-month period as 82 per cent. DMAIC methodology was used to identify inherent problems and proposed improvements. The post-improvement SCP measurement saw an improvement from an average of 82 to 83.82 per cent over the four-month period.

Practical implications

The proposed generic SCPMI framework aided by AHP-DMAIC has been successfully implemented in a case company. After implementation, managers and decision-makers saw an improvement in their SCP. The proposed SCPMI system and results can be useful for benchmarking by manufacturing organizations for continuous SCP improvement.


An original SCPMI framework proposed is general in nature and can be applied in any organization.



The authors are grateful to the referees for their constructive comments that have helped in shaping the format and content of this manuscript.


Rehman, S.T., Khan, S.A., Kusi-Sarpong, S. and Hassan, S.M. (2018), "Supply chain performance measurement and improvement system: A MCDA-DMAIC methodology", Journal of Modelling in Management, Vol. 13 No. 3, pp. 522-549.



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Copyright © 2018, Emerald Publishing Limited

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