Multi-Criteria Decision Analysis for Sustainable Design and Performance Optimization of Mechanical Engineering Systems
DOI:
https://doi.org/10.31181/rme583Keywords:
Multi-criteria Decision, Sustainable Design, Performance Optimization, Mechanical Engineering SystemsAbstract
As engineering continues to evolve, so do expectations surrounding the profession. Here, I describe a way to apply Multi-Criteria Decision Analysis (MCDA) to the design and optimization phase of engineering a mechanical system, incorporating economy, environment, and the technical system. The research study also implemented design and MCDA decision-making methods and used MCDA decision structures to order and rate the design and style options for a system. I have used order- and rating-based MCDA decision structures in my model and set the design style options to minimize impact on the system as a whole. I also used the Hazardous Vapour Assessment and Design Life-cycle Theory (HVADLT) to include design systems to assess space, moment, and structural design systems, and to conduct and post-system assessments of waste. Implementing the design structure described in my framework increases both opportunity and sustainability for manufacturing systems. The model enabled the mechanical implementation of system safety in manufacturing and the design to ensure safe practices. The design model also provided the design system with a post-integration safety and risk assessment. This study offers a framework for data-focused, goal-centric, multi-factor optimization in mechanical engineering design, specifically for multi-objective, adaptive intelligent engineering design. This is useful for making decisions when evaluating design options grounded in the tenets of sustainable engineering, as it helps to identify more sustainable alternatives, both economic and ecological.
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