Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach
•An efficient methodology towards SC resiliency to both supply and demand is presented.•A hybrid integrated DEMATEL-TOPSIS-bi objectives optimization model is developed.•A new framework presenting pillars to assess suppliers’ resiliency is propsoed.•Applicability of the developed model is proved on...
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| Vydané v: | Computers & industrial engineering Ročník 160; s. 107589 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.10.2021
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| ISSN: | 0360-8352, 1879-0550 |
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| Abstract | •An efficient methodology towards SC resiliency to both supply and demand is presented.•A hybrid integrated DEMATEL-TOPSIS-bi objectives optimization model is developed.•A new framework presenting pillars to assess suppliers’ resiliency is propsoed.•Applicability of the developed model is proved on a real case study.
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 SCR. Also, organisations require resilience 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 SCR. 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 resilience 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 multi-attribute decision making (MADM) approaches. |
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| AbstractList | •An efficient methodology towards SC resiliency to both supply and demand is presented.•A hybrid integrated DEMATEL-TOPSIS-bi objectives optimization model is developed.•A new framework presenting pillars to assess suppliers’ resiliency is propsoed.•Applicability of the developed model is proved on a real case study.
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 SCR. Also, organisations require resilience 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 SCR. 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 resilience 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 multi-attribute decision making (MADM) approaches. |
| ArticleNumber | 107589 |
| Author | Mohammed, A. Spiegler, V. Naghshineh, B. Carvalho, H. |
| Author_xml | – sequence: 1 givenname: A. surname: Mohammed fullname: Mohammed, A. email: amm.alhamdany@gmail.com organization: Faculty of Transport & Logistics, Muscat University, Building 142, Al Ghubra North, Muscat, Oman – sequence: 2 givenname: B. surname: Naghshineh fullname: Naghshineh, B. organization: UNIDEMI - Department of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal – sequence: 3 givenname: V. surname: Spiegler fullname: Spiegler, V. organization: Department of Analytics, Operations & Systems, Kent Business School, University of Kent, Canterbury, UK – sequence: 4 givenname: H. surname: Carvalho fullname: Carvalho, H. organization: UNIDEMI - Department of Mechanical and Industrial Engineering, Faculty of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal |
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| Keywords | Resilient sourcing COVID-19 disruption Multi-objective programming MCDM Supply chain resilience |
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| Title | Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach |
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