大规模中断期间印度供应链弹性和责任的推动者评估:ISM-ANP方法

Q4 Decision Sciences

International Journal of Operational Research Pub Date : 2023-01-01 DOI:10.1504/ijor.2023.134397

Rohit Sindhwani, Venkataramanaiah Saddikuti, Omkarprasad S. Vaidya

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引用次数: 0

摘要

大规模破坏性事件造成的医疗和经济困境最为严重。最近的大流行SARS-CoV-2以其无情的能量影响了整个世界。只有少数供应链在中断期间保持弹性。我们强调，这些组织不仅关注供应链弹性;负责任的天性帮助他们渡过难关。因此，我们了解并确定了在印度大规模中断期间有弹性和负责任的SCs生存的各种促成因素。从文献中确定了15个促成因素和30个促成因素，并经专家验证。采用综合ISM-ANP方法和MICMAC分析来开发概念框架，并优先考虑SC生存能力的使能因素。短期内最重要的三个子推动者分别是高级跟踪和跟踪系统(0.0807)、业务目标的信息共享(0.0776)和多向伙伴关系(0.0776)。

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Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach

The healthcare and economic distress caused by large-scale disruptive events is most severe. The recent pandemic, SARS-CoV-2, has affected the entire world with its relentless energy. Only few supply chains (SCs) have remained resilient during disruptions. We highlight that these organisations do not just focus on SC resilience; the innate nature of being responsible has helped them stay afloat. Thus, we understand and identify various enablers of resilient and responsible SCs for survival during large-scale disruptions in India. 15 enablers and 30 sub-enablers for SC survivability are identified from literature and verified by experts. Integrated ISM-ANP approach and MICMAC analysis is adopted to develop a conceptual framework and prioritise enablers for SC survivability. The three most important sub-enablers in near term are advanced tracking and tracing system (0.0807), information sharing of business objectives (0.0776) and multi-way partnership (0.0776), respectively.

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来源期刊

International Journal of Operational Research Decision Sciences-Management Science and Operations Research

CiteScore

1.50

自引率

0.00%

发文量

期刊介绍： IJOR is a fully refereed journal generally covering new theory and application of operations research (OR) techniques and models that include inventory, queuing, transportation, game theory, scheduling, project management, mathematical programming, decision-support systems, multi-criteria decision making, artificial intelligence, neural network, fuzzy logic, expert systems, and simulation. New theories and applications of operations research models are welcome to IJOR. Modelling and optimisation have become an essential function of researchers and practitioners in a networked global economy. New theory development in operations research and their applications in new economy and society have been limited.