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

Supply chain performance measurement and improvement system: a MCDA-DMAIC methodology
Supply chain performance measurement and improvement system: a MCDA-DMAIC methodology
Purpose
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).

Design/methodology/approach
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.

Findings
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.

Originality/value
An original SCPMI framework proposed is general in nature and can be applied in any organization.
1746-5664
522-549
Rehman, Syed Tahaur
190ffce1-5ac7-4546-850b-198d47aee086
Khan, Sharfuddin Ahmed
4e5d9744-cff5-4e3f-9a3f-08535970d2a4
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Hassan, Syed Mehmood
42444510-3b37-41ab-a863-c24036c408c0
Rehman, Syed Tahaur
190ffce1-5ac7-4546-850b-198d47aee086
Khan, Sharfuddin Ahmed
4e5d9744-cff5-4e3f-9a3f-08535970d2a4
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Hassan, Syed Mehmood
42444510-3b37-41ab-a863-c24036c408c0

Rehman, Syed Tahaur, Khan, Sharfuddin Ahmed, Kusi-Sarpong, Simonov and Hassan, Syed Mehmood (2018) Supply chain performance measurement and improvement system: a MCDA-DMAIC methodology. Journal of Modelling in Management, 13 (3), 522-549. (doi:10.1108/JM2-02-2018-0012).

Record type: Article

Abstract

Purpose
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).

Design/methodology/approach
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.

Findings
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.

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

Text
Final Manuscript Revised JMMREF - Accepted Manuscript
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More information

Accepted/In Press date: 21 May 2018
Published date: 13 August 2018

Identifiers

Local EPrints ID: 434514
URI: http://eprints.soton.ac.uk/id/eprint/434514
ISSN: 1746-5664
PURE UUID: 0bab4c74-83b3-44da-8e3b-df642d97140f
ORCID for Simonov Kusi-Sarpong: ORCID iD orcid.org/0000-0003-1618-2518

Catalogue record

Date deposited: 25 Sep 2019 16:30
Last modified: 27 Apr 2022 02:15

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Contributors

Author: Syed Tahaur Rehman
Author: Sharfuddin Ahmed Khan
Author: Syed Mehmood Hassan

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