Disaster management in Bangladesh: developing an effective emergency supply chain network

Mahmud Akhter Shareef, Yogesh K. Dwivedi*, Rafeed Mahmud, Angela Wright, Mohammad Mahboob Rahman, Hatice Kizgin, Nripendra P. Rana

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

This study has addressed and identified the problems in managing the existing emergency supply chain of Bangladesh in all phases of operation in terms of the primary drivers of the supply chain. It has also attempted to conceptualize and suggest an effective emergency supply chain. In this context, a thorough field investigation in several districts was conducted among the employees of the organizations sharing common information with similar protocols and implications (interoperable). Information was collected from the employees of all the participating organizations involved in disaster management through a semi-structured questionnaire based survey. The respondents addressed and illustrated several interconnected reasons which are inhibiting proper forecasting, procurement, storage, identification of affected people, and distribution. The respondents pointed out that the mismatching of objectives in the different organizations resulted in non-interoperability among the participating organizations. These issues are related to the malfunctioning of management with multidimensional organizational conflicts. Reflecting those issues, an emergency supply chain for disaster management is proposed in this study.

Original languageEnglish
Pages (from-to)1463-1487
Number of pages25
JournalAnnals of Operations Research
Volume283
Issue number1-2
DOIs
StatePublished - 1 Dec 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, The Author(s).

Keywords

  • Disaster management
  • Effective supply chain
  • Emergency supply chain
  • Interoperability
  • Logistics management
  • Relief distribution

ASJC Scopus subject areas

  • General Decision Sciences
  • Management Science and Operations Research

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