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.
Original language | English |
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Pages (from-to) | 324-328 |
Number of pages | 5 |
Journal | International Journal of Mechanical Engineering and Robotics Research |
Volume | 9 |
Issue number | 3 |
Publication status | Published - 1 Mar 2020 |
Event | 2nd International Conference on Industrial Engineering and Intelligent Manufacturing - Shanghai, China Duration: 14 Aug 2019 → 16 Aug 2019 http://www.cieim.org/index.html |
Keywords
- sustainable manufacturing systems
- energy consumption
- CO2
- modelling and simulation
- multi-objectives