Navigating VUCA Challenges in Manufacturing Environment: An Integrated ISM and Fuzzy MICMAC Approach

Authors

DOI:

https://doi.org/10.7166/37-1-3215

Abstract

This study explores the challenges of managing volatility, uncertainty, complexity, and ambiguity (VUCA) in manufacturing. Using interpretive structural modelling (ISM) and fuzzy MICMAC, it identifies and prioritises key enablers of decision-making. ISM structures the relationships between enablers, while fuzzy MICMAC categorises them, based on influence and dependence. The results highlight agile leadership and adaptive organisational structure as the most influential enablers, while customer retention strategies and crisis preparedness are highly dependent. This study provides a structured framework to enhance organisational resilience and adaptability in complex manufacturing environments.

Downloads

Download data is not yet available.

Downloads

Published

2026-05-22

How to Cite

Dhiyaneswaran, J., & Ben Ruben, R. (2026). Navigating VUCA Challenges in Manufacturing Environment: An Integrated ISM and Fuzzy MICMAC Approach. The South African Journal of Industrial Engineering, 37(1), 28–43. https://doi.org/10.7166/37-1-3215

Issue

Vol. 37 No. 1 (2026): The South African Journal of Industrial Engineering

Section

General Articles

License

Authors who publish in the Journal agree to the following terms:
  1. Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.