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Emergency order allocation of e-medical supplies due to the disruptive events of the healthcare crisis.
Kumar Mangla, Sachin; Chauhan, Ankur; Kundu, Tanmoy; Mardani, Abbas.
  • Kumar Mangla S; Operations Management and Decision Making, Digital Circular Economy for Sustainable Development Goals (DCE-SDG), Jindal Global Business School, O P Jindal Global University, Haryana, India.
  • Chauhan A; Operations and Supply Chain Management Division Jaipuria Institute of Management, Noida, India.
  • Kundu T; School of Management & Entrepreneurship Indian Institute of Technology, Jodhpur, Rajasthan, India.
  • Mardani A; University of South Florida, United States.
J Bus Res ; 155: 113398, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-2095572
ABSTRACT
The availability of electronic (e-medical) homecare essentials, such as thermometers, oximeters, and oxygen concentrators during the peaks of the pandemic coronavirus disease (COVID-19), has been witnessed as critical in saving the lives of people across the world. This paper presents a supply order allocation strategy of e-medical homecare essentials (HCEs) in a multi-supplier environment by a distributor while ensuring sufficient and timely availability for emergency consumption during pandemic peaks. The results, based on the actual demand data of HCEs obtained from a regional HCE distributor during the pandemic peak of the second wave in India, i.e. April-May 2021, suggest that a minimum (maximum) average of 94% (98%) availability of e-medical HCEs respectively at pharmacies could be achieved during the peak demand period using the proposed emergency order allocation algorithm in this study. Conclusively, the analysis of this study could generate insightful implications for emergency operations decisions in the HCEs supply-distribution channel.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Bus Res Year: 2023 Document Type: Article Affiliation country: J.jbusres.2022.113398

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Bus Res Year: 2023 Document Type: Article Affiliation country: J.jbusres.2022.113398