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Estimation of Machining Sustainability Using Fuzzy Rule-Based System.
Asif Iqbal1, Guolong Zhao2, Quentin Cheok1
1Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE 1410, Brunei.
Materials (Basel, Switzerland)
|October 13, 2021
Summary
This study developed a fuzzy rule-based system to quantify manufacturing sustainability. The system assesses machining processes, providing scores for economic, environmental, and societal impacts to guide improvements.
Area of Science:
- Manufacturing Engineering
- Industrial Sustainability
- Applied Artificial Intelligence
Background:
- Quantifying 'sustainability' in manufacturing is complex due to inherent uncertainties.
- Traditional methods struggle with the qualitative nature of sustainability metrics.
- Machining is a widely used manufacturing process requiring a robust sustainability assessment.
Purpose of the Study:
- To develop a fuzzy rule-based system for quantifying the sustainability of machining processes.
- To integrate key control parameters and their impact on sustainability measures.
- To provide a holistic sustainability score for manufacturing operations.
Main Methods:
- Developed a fuzzy rule-based inference mechanism for approximate reasoning.
- Incorporated machining control parameters (process type, materials, tooling, fluids, cutting parameters).
- Categorized sustainability measures into economic, environmental, and societal dimensions with weightages.
Main Results:
- The system quantifies machining sustainability on a scale of 0-100.
- Applied the system to three machining processes, generating dimension-specific scores.
- Calculated holistic sustainability scores based on weighted dimension accomplishments.
Conclusions:
- The fuzzy rule-based system offers a practical method for assessing manufacturing sustainability.
- Provides actionable insights for process continuation or improvement decisions.
- Demonstrates potential for broad industrial application in evaluating machining sustainability.
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