Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach

M. J. Ramezankhani, S. Ali Torabi, Farhad Vahidi

Research output: Contribution to journalArticle

Abstract

In recent years, governments and social bodies have imposed mandates to tackle environmental and social issues. Furthermore, responding effectively to supply chain disruptions prevented many businesses from bankruptcy and complete shutdown. Therefore, adopting sustainability and resilience concepts at an operational level have recently become an inevitable necessity for business supply chains in order to survive in the tough rapid-changing competitive market environment. This paper proposes a novel dynamic network data envelopment analysis framework as a comprehensive performance management system to dynamically assess a supply chain's performance from both sustainability and resilience viewpoints over the course of time. The proposed model is also associated with a hybrid method using Quality Function Deployment (QFD) together with Decision Making Trial and Evaluation Laboratory (DEMATEL) to systematically select the best sustainability and resilience factors, which are then used in the data envelopment analysis model. The proposed framework is applied to an automotive manufacturing sector to demonstrate its capabilities and effectiveness.

Original languageEnglish (US)
Pages (from-to)531-548
Number of pages18
JournalComputers and Industrial Engineering
Volume126
DOIs
StatePublished - Dec 1 2018

Fingerprint

Supply chains
Sustainable development
Data envelopment analysis
Quality function deployment
Industry
Decision making

Keywords

  • DEMATEL
  • Dynamic network data envelopment analysis
  • QFD
  • Supply chain performance management
  • Supply chain resilience
  • Sustainability

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Supply chain performance measurement and evaluation : A mixed sustainability and resilience approach. / Ramezankhani, M. J.; Torabi, S. Ali; Vahidi, Farhad.

In: Computers and Industrial Engineering, Vol. 126, 01.12.2018, p. 531-548.

Research output: Contribution to journalArticle

@article{467782ac6b8645168155e39323cf729a,
title = "Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach",
abstract = "In recent years, governments and social bodies have imposed mandates to tackle environmental and social issues. Furthermore, responding effectively to supply chain disruptions prevented many businesses from bankruptcy and complete shutdown. Therefore, adopting sustainability and resilience concepts at an operational level have recently become an inevitable necessity for business supply chains in order to survive in the tough rapid-changing competitive market environment. This paper proposes a novel dynamic network data envelopment analysis framework as a comprehensive performance management system to dynamically assess a supply chain's performance from both sustainability and resilience viewpoints over the course of time. The proposed model is also associated with a hybrid method using Quality Function Deployment (QFD) together with Decision Making Trial and Evaluation Laboratory (DEMATEL) to systematically select the best sustainability and resilience factors, which are then used in the data envelopment analysis model. The proposed framework is applied to an automotive manufacturing sector to demonstrate its capabilities and effectiveness.",
keywords = "DEMATEL, Dynamic network data envelopment analysis, QFD, Supply chain performance management, Supply chain resilience, Sustainability",
author = "Ramezankhani, {M. J.} and Torabi, {S. Ali} and Farhad Vahidi",
year = "2018",
month = "12",
day = "1",
doi = "10.1016/j.cie.2018.09.054",
language = "English (US)",
volume = "126",
pages = "531--548",
journal = "Computers and Industrial Engineering",
issn = "0360-8352",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Supply chain performance measurement and evaluation

T2 - A mixed sustainability and resilience approach

AU - Ramezankhani, M. J.

AU - Torabi, S. Ali

AU - Vahidi, Farhad

PY - 2018/12/1

Y1 - 2018/12/1

N2 - In recent years, governments and social bodies have imposed mandates to tackle environmental and social issues. Furthermore, responding effectively to supply chain disruptions prevented many businesses from bankruptcy and complete shutdown. Therefore, adopting sustainability and resilience concepts at an operational level have recently become an inevitable necessity for business supply chains in order to survive in the tough rapid-changing competitive market environment. This paper proposes a novel dynamic network data envelopment analysis framework as a comprehensive performance management system to dynamically assess a supply chain's performance from both sustainability and resilience viewpoints over the course of time. The proposed model is also associated with a hybrid method using Quality Function Deployment (QFD) together with Decision Making Trial and Evaluation Laboratory (DEMATEL) to systematically select the best sustainability and resilience factors, which are then used in the data envelopment analysis model. The proposed framework is applied to an automotive manufacturing sector to demonstrate its capabilities and effectiveness.

AB - In recent years, governments and social bodies have imposed mandates to tackle environmental and social issues. Furthermore, responding effectively to supply chain disruptions prevented many businesses from bankruptcy and complete shutdown. Therefore, adopting sustainability and resilience concepts at an operational level have recently become an inevitable necessity for business supply chains in order to survive in the tough rapid-changing competitive market environment. This paper proposes a novel dynamic network data envelopment analysis framework as a comprehensive performance management system to dynamically assess a supply chain's performance from both sustainability and resilience viewpoints over the course of time. The proposed model is also associated with a hybrid method using Quality Function Deployment (QFD) together with Decision Making Trial and Evaluation Laboratory (DEMATEL) to systematically select the best sustainability and resilience factors, which are then used in the data envelopment analysis model. The proposed framework is applied to an automotive manufacturing sector to demonstrate its capabilities and effectiveness.

KW - DEMATEL

KW - Dynamic network data envelopment analysis

KW - QFD

KW - Supply chain performance management

KW - Supply chain resilience

KW - Sustainability

UR - http://www.scopus.com/inward/record.url?scp=85054670106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054670106&partnerID=8YFLogxK

U2 - 10.1016/j.cie.2018.09.054

DO - 10.1016/j.cie.2018.09.054

M3 - Article

AN - SCOPUS:85054670106

VL - 126

SP - 531

EP - 548

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

SN - 0360-8352

ER -