The International Journal of Logistics Management: Volume 34 Issue 2

Coping in supply chains: a conceptual framework for disruption management

Nezih Altay, Raktim Pal

The Covid-19 pandemic exposed the fragility of global supply chains. Attempts to deepen our understanding of the effects of the pandemic on global supply chains mostly offer…

Agriculture value chain sustainability during COVID-19: an emerging economy perspective

Sneha Kumari, V.G. Venkatesh, Eric Deakins, Venkatesh Mani, Sachin Kamble

Agriculture value chains (AVCs) have experienced unprecedented disruption during the COVID-19 pandemic, with lockdowns and stringent social distancing restrictions making buying…

Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective

Kirti Nayal, Rakesh D. Raut, Maciel M. Queiroz, Vinay Surendra Yadav, Balkrishna E. Narkhede

This article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural…

Operational challenges during a pandemic: an investigation in the electronics industry

Sanjoy Kumar Paul, Priyabrata Chowdhury, Md. Tarek Chowdhury, Ripon Kumar Chakrabortty, Md. Abdul Moktadir

The recent coronavirus disease 2019 (COVID-19) pandemic poses numerous challenges to supply chains. This pandemic is quite unique when compared to previous epidemic disruptions…

Development of sustainable and resilient healthcare and non-cold pharmaceutical distribution supply chain for COVID-19 pandemic: a case study

Omid Abdolazimi, Mitra Salehi Esfandarani, Maryam Salehi, Davood Shishebori, Majid Shakhsi-Niaei

This study evaluated the influence of the coronavirus pandemic on the healthcare and non-cold pharmaceutical care distribution supply chain.

Using AI and ML to predict shipment times of therapeutics, diagnostics and vaccines in e-pharmacy supply chains during COVID-19 pandemic

Mahesh Babu Mariappan, Kanniga Devi, Yegnanarayanan Venkataraman, Ming K. Lim, Panneerselvam Theivendren

This paper aims to address the pressing problem of prediction concerning shipment times of therapeutics, diagnostics and vaccines during the ongoing COVID-19 pandemic using a…

COVID-19 and supply chain risk mitigation: a case study from India

Vishwas Dohale, Priyanka Verma, Angappa Gunasekaran, Priya Ambilkar

This study prioritizes the supply chain risks (SCRs) and determines risk mitigation strategies (RMSs) for the Indian apparel industry to mitigate the shock of the COVID-19…

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

Zuopeng (Justin) Zhang, Praveen Ranjan Srivastava, Prajwal Eachempati, Yubing Yu

The paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework…

A decision support model for selecting unmanned aerial vehicle for medical supplies: context of COVID-19 pandemic

Debapriya Banik, Niamat Ullah Ibne Hossain, Kannan Govindan, Farjana Nur, Kari Babski-Reeves

In recent times, due to rapid urbanization and the expansion of the E-commerce industry, drone delivery has become a point of interest for many researchers and industry…

Inventory planning under supplier uncertainty in a two-level supply chain

Noura Yassine

Due to uncertainty in supply chains caused by the coronavirus disease 2019 (COVID-19), organizations are adjusting their supply chain design to address challenges faced during the…