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

Qian Wang, Reda Nujoom, Ahmed Mohammed

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)324-328
Number of pages5
JournalInternational Journal of Mechanical Engineering and Robotics Research
Volume9
Issue number3
DOIs
Publication statusPublished - 2020

Bibliographical note

Funding Information:
The authors would like to express our gratitude to the financial support for the research under the Ministry of Education in Saudi Arabia; and the direct and indirect support from the School of Mechanical and Design Engineering, University of Portsmouth, UK. The authors would also like to thank the support from the company.

Publisher Copyright:
© 2020 Int. J. Mech. Eng. Rob. Res.

Keywords

  • CO
  • Energy consumption
  • Modelling and simulation
  • Multiobjectives
  • Sustainable manufacturing systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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