A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation

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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.

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Wang, Q., Nujoom, R., & Mohammed, A. (2020). 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, 9(3), 324–328. https://doi.org/10.18178/ijmerr.9.3.324-328

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