<p>Risk management has become an essential issue in order to effectively operate a supply chain (SC) in the face of unforeseeable shifts and uncertainties. Any disturbance has the potential to affect several organizations, possibly the entire system. Thus, creating and implementing efficient risk reduction techniques is one way to incorporate resilience in a turbulent and uncertain business environment. In this study, risk mitigation techniques for an electronic SC that is digitally sustainable have been prioritised based on their effectiveness in mitigating different risks. Twenty five risks and twenty two mitigation measures have been identified based on decision makers’ (DMs’) opinions and literature survey. Since, all risks and mitigation strategies are not vital for the organization. So, significant risks are identified, along with their potential mitigation measures, using Fuzzy Delphi Method (FDM). Afterwards, Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (fuzzy TOPSIS) using Z-numbers is utilised to prioritise the strategies in a group decision-making scenario which is a novel methodology in a digitally sustainable electronic sector. The suggested framework’s applicability is demonstrated through a case study of an Indian electronics industry. The results show that most effective risk mitigation strategies for a digitally sustainable SC of an electronic industry are found to be use of advanced technology, adoption of green practises, developing agility, responsive pricing, robust SC strategies and strong associations with stakeholders. The research’s findings help practitioners and industrial managers in an electronic industry to take preventive&#xa0; measures to mitigate SC risks. A sensitivity analysis is carried out to determine the relative stability of the hazards. Organisations seeking to strengthen their SC resilience can use the findings of this research to select risk mitigation methods and employ a portfolio of approaches.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

An Integrated fuzzy MADM framework for analyzing risk mitigation strategies in Digitally Sustainable Supply Chain

  • Nidhi Ahuja,
  • Ramandeep Kaur

摘要

Risk management has become an essential issue in order to effectively operate a supply chain (SC) in the face of unforeseeable shifts and uncertainties. Any disturbance has the potential to affect several organizations, possibly the entire system. Thus, creating and implementing efficient risk reduction techniques is one way to incorporate resilience in a turbulent and uncertain business environment. In this study, risk mitigation techniques for an electronic SC that is digitally sustainable have been prioritised based on their effectiveness in mitigating different risks. Twenty five risks and twenty two mitigation measures have been identified based on decision makers’ (DMs’) opinions and literature survey. Since, all risks and mitigation strategies are not vital for the organization. So, significant risks are identified, along with their potential mitigation measures, using Fuzzy Delphi Method (FDM). Afterwards, Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (fuzzy TOPSIS) using Z-numbers is utilised to prioritise the strategies in a group decision-making scenario which is a novel methodology in a digitally sustainable electronic sector. The suggested framework’s applicability is demonstrated through a case study of an Indian electronics industry. The results show that most effective risk mitigation strategies for a digitally sustainable SC of an electronic industry are found to be use of advanced technology, adoption of green practises, developing agility, responsive pricing, robust SC strategies and strong associations with stakeholders. The research’s findings help practitioners and industrial managers in an electronic industry to take preventive  measures to mitigate SC risks. A sensitivity analysis is carried out to determine the relative stability of the hazards. Organisations seeking to strengthen their SC resilience can use the findings of this research to select risk mitigation methods and employ a portfolio of approaches.