Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study

The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (R...

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Autores principales: Manel Elmsalmi, Wafik Hachicha, Awad M. Aljuaid
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/138d0d8beef24402922a2f38f07bfdf8
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spelling oai:doaj.org-article:138d0d8beef24402922a2f38f07bfdf82021-11-11T19:47:54ZModeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study10.3390/su1321122102071-1050https://doaj.org/article/138d0d8beef24402922a2f38f07bfdf82021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12210https://doaj.org/toc/2071-1050The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (RM) and mainly sustainable RM. In fact, every risk must be eliminated or controlled as much as possible. The purpose of this paper is to elaborate and evaluate various RM scenarios from an initial risk identification and prioritization solution. The proposed scenario modeling technique is based on morphological analysis (MA) as an explorative scenario tool for RM. MA is used to develop a framework to proactively assess critical risk variables. Firstly, MA is employed to exhaustively create possible RM scenarios and, secondly, to assess the likelihood of each scenario. The proposed approach addresses the need for a basic rubric to help identify and choose RM approaches. A real case study is provided from the food industry to illustrate the application of the proposed approach. To handle all possible MA strategies, a dedicated MORPHOL software package is used. In addition, RM strategies are selected based on sustainability indicators. The case study results prove that MA has a considerable value for SCRM. It shows that firms can adopt multiple robust strategies in the form of a scenario describing all stages of SCRM in an integrated representation.Manel ElmsalmiWafik HachichaAwad M. AljuaidMDPI AGarticlesupply chain managementrisk managementrisk mitigation strategiesmorphological analysissustainable supply chain risk managementEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12210, p 12210 (2021)
institution DOAJ
collection DOAJ
language EN
topic supply chain management
risk management
risk mitigation strategies
morphological analysis
sustainable supply chain risk management
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle supply chain management
risk management
risk mitigation strategies
morphological analysis
sustainable supply chain risk management
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Manel Elmsalmi
Wafik Hachicha
Awad M. Aljuaid
Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
description The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (RM) and mainly sustainable RM. In fact, every risk must be eliminated or controlled as much as possible. The purpose of this paper is to elaborate and evaluate various RM scenarios from an initial risk identification and prioritization solution. The proposed scenario modeling technique is based on morphological analysis (MA) as an explorative scenario tool for RM. MA is used to develop a framework to proactively assess critical risk variables. Firstly, MA is employed to exhaustively create possible RM scenarios and, secondly, to assess the likelihood of each scenario. The proposed approach addresses the need for a basic rubric to help identify and choose RM approaches. A real case study is provided from the food industry to illustrate the application of the proposed approach. To handle all possible MA strategies, a dedicated MORPHOL software package is used. In addition, RM strategies are selected based on sustainability indicators. The case study results prove that MA has a considerable value for SCRM. It shows that firms can adopt multiple robust strategies in the form of a scenario describing all stages of SCRM in an integrated representation.
format article
author Manel Elmsalmi
Wafik Hachicha
Awad M. Aljuaid
author_facet Manel Elmsalmi
Wafik Hachicha
Awad M. Aljuaid
author_sort Manel Elmsalmi
title Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
title_short Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
title_full Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
title_fullStr Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
title_full_unstemmed Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study
title_sort modeling sustainable risks mitigation strategies using a morphological analysis-based approach: a real case study
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/138d0d8beef24402922a2f38f07bfdf8
work_keys_str_mv AT manelelmsalmi modelingsustainablerisksmitigationstrategiesusingamorphologicalanalysisbasedapproacharealcasestudy
AT wafikhachicha modelingsustainablerisksmitigationstrategiesusingamorphologicalanalysisbasedapproacharealcasestudy
AT awadmaljuaid modelingsustainablerisksmitigationstrategiesusingamorphologicalanalysisbasedapproacharealcasestudy
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