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Integrated Model for Soft Drink Industry Supply Chain Risk Assessment: Implications for Sustainability in Emerging Economies

  • Ahmed Shoyeb Raihan
  • , Syed Mithun Ali
  • , Sanjeeb Roy
  • , Miki Das
  • , Golam Kabir*
  • , Sanjoy Kumar Paul
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Recently, the soft drink industry has been confronted with a rapidly changing business climate and increased competition, creating risks and uncertainties in its supply chain. Thus, immediate actions are required to handle these risks and uncertainties. The purpose of this paper is to identify and classify these risks in the soft drink supply chain and to develop a methodology comprising a fuzzy analytical hierarchy process (FAHP) and fuzzy comprehensive evaluation of these risks. FAHP was used to determine the weights of five major risk categories and 23 sub risks under these major categories. Afterward, a fuzzy comprehensive evaluation method (FCEM) was applied for the assessment of overall risk level, risk levels of the five major categories and relative risk levels of the 23 sub risks. This research has been conducted focusing on the soft drink industry of Bangladesh, a developing country with an emerging economy. In the existing literature, this work contributes by identifying and evaluating risks in the soft drink supply chain in the context of Bangladesh. The outcome of this study indicates that the overall risk level in the supply chain of the soft drink industry is between low and medium, and the risk level of the demand risks is the highest whereas the risk level of infrastructural risks is the lowest. It was also found that loss of reputation and brand image is the most significant sub risk, and natural disasters are the least significant sub risk.

Original languageEnglish
Pages (from-to)1148-1169
Number of pages22
JournalInternational Journal of Fuzzy Systems
Volume24
Issue number2
DOIs
StatePublished - Mar 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, Taiwan Fuzzy Systems Association.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Fuzzy AHP
  • Fuzzy comprehensive evaluation
  • Risk assessment
  • Soft drink supply chain
  • Supply chain risk management

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Computational Theory and Mathematics
  • Artificial Intelligence

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