3rd South American International Conference on Industrial Engineering and Operations Management

An Intelligent Model for Industry’s Sustainability Assessment

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Track: Sustainability in Supply Chain, Enterprise Operations and Strategies including Food Supply Chain
Abstract

Sustainability issue in the industrial sector donates challenges to solve with the appropriate framework. The objective of the research was to develop an intelligent system to assess the industry’s sustainability performance. A fuzzy inference system (FIS) approach was proposed to develop the model and infer sustainability performance with triple-bottom-line inputs. A dashboard was provided as the model prototype to quick monitoring the current Industry's sustainability performance. The result showed that th e fuzzy inference system enables to infer the overall sustainability performance, which was not further discussed in previous research. This research generated 125 rules with expert validations to infer the sustainability performance. The dashboard of the current Industry's sustainability performance can assist decision-makers with sustainability controlling and improvement. Model validations show that the model was valid to assess sustainability in the various industrial sector.

Keywords

Industry, Inference system, Intelligent, Sustainability, Triple-bottom-line.

Published in: 3rd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: May 10-12, 2022

ISBN: 978-1-7923-9159-0
ISSN/E-ISSN: 2169-8767