Abstract—A sustainable manufacturing system design can be partially achieved by promoting an energy-saving production method in which energy consumption and amount of CO₂ emissions can be measured and reduced as minimal as possible. Thus, there is a need for developing a computer-based discrete event simulation (DES) tool which enables incorporating parameters of energy consumption and CO₂ emissions when it is used for manufacturing systems design and evaluation. Unfortunately, such a DES tool is unavailable in the existing market. This paper presents a hybrid Multi-Objective Optimization Enterprise Dynamic Simulation (MOO-EDS) approach that can be employed as an aid for manufacturing systems design and evaluation aiming to minimize energy consumption and amount of CO₂ emissions at an early stage. A real case study was examined for validating the applicability of the proposed approach. The research outcome demonstrates that the hybrid FMOO-EDS approach can be an effective decision-making tool by quantifying energy consumption and amount of CO₂ emissions towards a sustainable manufacturing system design.

 

Index Terms—sustainable manufacturing systems, energy consumption, CO₂, modelling and simulation, multi-objectives

Cite: Qian Wang, Reda Nujoom and Ahmed Mohammed, "A MOO-EDS Approach for Quantifying Energy Consumption and CO₂ Emissions for Manufacturing System Design and Evaluation" International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 3, pp. 324-328, March 2020. DOI: 10.18178/ijmerr.9.3.324-328

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