Stručni rad
https://doi.org/10.31534/engmod.2023.1.ri.06v
Fuzzy-AHP Modelling of Risk Factors for Tanneries in Bangladesh to Adapt Industry 4.0
Sarajit Kumar Mondal
orcid.org/0000-0002-7861-5676
; Department of Mechanical Engineering, Chittagong University of Engineering & Technology, Chattogram, BANGLADESH
Sajal Chandra Banik
; Department of Mechanical Engineering, Chittagong University of Engineering & Technology, Chattogram, BANGLADESH
Md. Sanaul Rabbi
; Department of Mechanical Engineering, Chittagong University of Engineering & Technology, Chattogram, BANGLADESH
Sažetak
Bangladesh is marching forward in the way of the Industry 4.0 adaption process with its strength of human assets and long productive experiences. Bangladesh's traditional tanneries are under pressure to change their unfavourable working conditions into safe and productive ones. The study aims to determine the main risk factors of tanning industries from a related literature review and analyse these challenges to adapt the Industry 4.0. A Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) based Multi-Criteria Decision Making (MCDM) methodology is developed to analyse and determine the most and the least critical risk factors. In addition, the purpose of this paper is to provide recommendations for mitigating the risk factors associated with the conversion of a tannery to Industry 4.0. Paired comparisons were created among the criteria for collecting 12 experts’ judgments from different tanneries at different levels to progress the methodology using Fuzzy-AHP geometric mean process. The results have shown that the main four risk factors for Industry 4.0 are: Lack of Commitment from Top Management and Policy Makers' Support (47% weight); Lack of Ability to Meet up Initial Cost (29% weight); Lack of ICT-Based Knowledge and Training (15%); and Availability of Cheaper Workforce (9% weight). The judgments given by the experts are acceptable since the paired comparisons are tested with the consistency ratio checking mechanism.
Ključne riječi
Industry 4.0; tanning industry; risk factors; Fuzzy-AHP; paired comparisons; judgments
Hrčak ID:
304096
URI
Datum izdavanja:
21.12.2022.
Posjeta: 331 *