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

Research output: Contribution to journalArticlepeer-review

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A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation. / Wang, Qian; Nujoom, Reda; Mohammed, Ahmed.

In: International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 3, 01.03.2020, p. 324-328.

Research output: Contribution to journalArticlepeer-review

Harvard

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, vol. 9, no. 3, pp. 324-328. <http://www.ijmerr.com/show-175-1326-1.html>

APA

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. http://www.ijmerr.com/show-175-1326-1.html

Vancouver

Wang Q, Nujoom R, Mohammed A. 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. 2020 Mar 1;9(3):324-328.

Author

Wang, Qian ; Nujoom, Reda ; Mohammed, Ahmed. / A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation. In: International Journal of Mechanical Engineering and Robotics Research. 2020 ; Vol. 9, No. 3. pp. 324-328.

Bibtex

@article{0d0e403aa9514a9aa1f80624d1c2018f,
title = "A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation",
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.",
keywords = "sustainable manufacturing systems, energy consumption, CO2, modelling and simulation, multi-objectives",
author = "Qian Wang and Reda Nujoom and Ahmed Mohammed",
note = "DOI does not work: 10.18178/ijmerr.9.3.324-328; 2nd International Conference on Industrial Engineering and Intelligent Manufacturing, CIEIM 2019 ; Conference date: 14-08-2019 Through 16-08-2019",
year = "2020",
month = mar,
day = "1",
language = "English",
volume = "9",
pages = "324--328",
journal = "International Journal of Mechanical Engineering and Robotics Research",
issn = "2278-0149",
publisher = "International Journal of Mechanical Engineering and Robotics Research",
number = "3",
url = "http://www.cieim.org/index.html",

}

RIS

TY - JOUR

T1 - A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation

AU - Wang, Qian

AU - Nujoom, Reda

AU - Mohammed, Ahmed

N1 - DOI does not work: 10.18178/ijmerr.9.3.324-328

PY - 2020/3/1

Y1 - 2020/3/1

N2 - 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.

AB - 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.

KW - sustainable manufacturing systems

KW - energy consumption

KW - CO2

KW - modelling and simulation

KW - multi-objectives

UR - http://www.cieim.org/sub.html

UR - http://www.ijmerr.com/uploadfile/2017/0921/20170921105122297.pdf

UR - http://www.ijmerr.com/

M3 - Article

VL - 9

SP - 324

EP - 328

JO - International Journal of Mechanical Engineering and Robotics Research

JF - International Journal of Mechanical Engineering and Robotics Research

SN - 2278-0149

IS - 3

T2 - 2nd International Conference on Industrial Engineering and Intelligent Manufacturing

Y2 - 14 August 2019 through 16 August 2019

ER -

ID: 15636839