TY - JOUR
T1 - Conceptualising a supply and demand resilience methodology
T2 - A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach
AU - Mohammed, A.
AU - Naghshineh, B.
AU - Spiegler, V.
AU - Carvalho, H.
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT#
The authors would like to thank the Editor in Chief and Gest Editors and the anonymous referees whose thorough reviews and insightful comments made a valuable contribution to this work. The research leading to these results has received Research Project Funding from The Minister of Higher Education, Research, and Innovation of the Sultanate of Oman, under Commissioned Research Program, Contract NO. TRC/CRP/MU/COVID-19/20/15.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/10
Y1 - 2021/10
N2 - Due to the growing globalisation and strategic sourcing, supply chains (SCs) are confronted with potential disruptions. Companies need to make further efforts and investments to improve their supply chain resilience (SCR) in becoming more prepared to minimise disruption risks. Sourcing is one of the main, strategic, key factors towards SC resilience. Also, organisations require resiliency in demand fulfilment to handle volatile marketplaces. This paper presents a methodology towards SCR to both supply and demand variations motivated by a real case study of a manufacturing company that works to improve its SC resilience. To this end, a hybrid integrated multi-attribute decision making-possibilistic bi-objective programming model (MADM-PBOPM) was developed. First, a new framework presenting pillars to assess suppliers’ resilience was developed based on a thorough literature review and decision makers’ input. Then, a DEMATEL-TOPSIS approach was proposed to quantify existing suppliers’ resilience and assess its performance. It also helped in categorising resilience pillars (RPs) as causes and effects. Thereafter, the obtained weights of suppliers and pillars were integrated into the developed PBOPM. The latter helps the purchasing team to (1) order materials from suppliers based on their resilience and performance efficiency; and (2) elevate the company's resiliency to uncertain demands fulfilment. Therefore, the developed methodology can potentially be used by the purchasing teams to build up SCs that are resilient to supply disruption and demand uncertainty. This MADM-PBOPM model was validated as part of the case study investigation. Furthermore, the suppliers’ assessment output was validated by using two sensitivity analysis approaches including criteria weight variation and other MADM approaches.
AB - Due to the growing globalisation and strategic sourcing, supply chains (SCs) are confronted with potential disruptions. Companies need to make further efforts and investments to improve their supply chain resilience (SCR) in becoming more prepared to minimise disruption risks. Sourcing is one of the main, strategic, key factors towards SC resilience. Also, organisations require resiliency in demand fulfilment to handle volatile marketplaces. This paper presents a methodology towards SCR to both supply and demand variations motivated by a real case study of a manufacturing company that works to improve its SC resilience. To this end, a hybrid integrated multi-attribute decision making-possibilistic bi-objective programming model (MADM-PBOPM) was developed. First, a new framework presenting pillars to assess suppliers’ resilience was developed based on a thorough literature review and decision makers’ input. Then, a DEMATEL-TOPSIS approach was proposed to quantify existing suppliers’ resilience and assess its performance. It also helped in categorising resilience pillars (RPs) as causes and effects. Thereafter, the obtained weights of suppliers and pillars were integrated into the developed PBOPM. The latter helps the purchasing team to (1) order materials from suppliers based on their resilience and performance efficiency; and (2) elevate the company's resiliency to uncertain demands fulfilment. Therefore, the developed methodology can potentially be used by the purchasing teams to build up SCs that are resilient to supply disruption and demand uncertainty. This MADM-PBOPM model was validated as part of the case study investigation. Furthermore, the suppliers’ assessment output was validated by using two sensitivity analysis approaches including criteria weight variation and other MADM approaches.
KW - COVID-19 disruption
KW - MCDM
KW - Multi-objective programming
KW - Resilient sourcing
KW - Supply chain resilience
UR - http://www.scopus.com/inward/record.url?scp=85112606318&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2021.107589
DO - 10.1016/j.cie.2021.107589
M3 - Article
AN - SCOPUS:85112606318
SN - 0360-8352
VL - 160
JO - Computers & Industrial Engineering
JF - Computers & Industrial Engineering
M1 - 107589
ER -