Dohale Vishwas, Ambilkar Priya, Gunasekaran Angappa, Bilolikar Vijay
Operations and Supply Chain Management (O&SCM), National Institute of Industrial Engineering, Mumbai, India.
Decision Science and Information Systems (DSIS), Indian Institute of Management (IIM), Nagpur, Maharashtra India.
Ann Oper Res. 2022 May 31:1-40. doi: 10.1007/s10479-022-04752-x.
Humanitarian supply chains (HSC) have vital significance in mitigating different disruptive supply chain risks caused due to natural or man-made activities such as tsunami, earthquakes, flooding, warfare, or the recent COVID-19 pandemic. Each kind of disaster poses a unique set of challenges to the operationalization of HSC. This study attempts to determine the critical barriers to the operationalization of HSC in India during the COVID-19 pandemic. Initially, we determined and validated 10 critical barriers to HSC operationalization through a Delphi method. Further, we analyzed the barriers by computing the driving and dependence power of each barrier to determine the most critical ones. To do so, we coined a distinct form of interpretive structural modeling (ISM) by amalgamating it with the neutrosophic approach, i.e. Neutrosophic ISM. The findings indicate, "lack of Government subsidies and support, lack of skilled and experienced rescuers, and lack of technology usage" are the most critical barriers that influence the streamline operations of HSC during the COVID-19 outbreak, unlike other disruptions. This is the first-of-its-kind research work that has identified and analyzed the critical barriers to HSC operationalization during COVID-19 in the Indian context. The results and recommendations of the study can aid policymakers and HSC professionals in formulating suitable strategies for successful HSC operations.
The online version contains supplementary material available at 10.1007/s10479-022-04752-x.
人道主义供应链（HSC）在减轻因海啸、地震、洪水、战争或近期的新冠疫情等自然或人为活动所导致的各种供应链中断风险方面具有至关重要的意义。每一种灾害都给人道主义供应链的运作带来了一系列独特的挑战。本研究旨在确定新冠疫情期间印度人道主义供应链运作的关键障碍。最初，我们通过德尔菲法确定并验证了10个影响人道主义供应链运作的关键障碍。此外，我们通过计算每个障碍的驱动力和依赖力来分析这些障碍，以确定最关键的障碍。为此，我们将解释性结构建模（ISM）与中智方法相结合，创造了一种独特的形式，即中智ISM。研究结果表明，“缺乏政府补贴和支持、缺乏熟练且经验丰富的救援人员以及缺乏技术应用”是在新冠疫情爆发期间影响人道主义供应链顺畅运作的最关键障碍，这与其他干扰情况不同。这是同类研究中首次在印度背景下识别并分析新冠疫情期间人道主义供应链运作的关键障碍。该研究的结果和建议可为政策制定者和人道主义供应链专业人员制定成功的人道主义供应链运作的合适策略提供帮助。
在线版本包含可在10.1007/s10479-022-04752-x获取的补充材料。
