Towards a sustainable manufacturing system design: A multi-objective optimization model

Reda Nujoom; Qian Wang; Ahmed Mohammed

doi:10.23919/IConAC.2017.8082052

Towards a sustainable manufacturing system design: A multi-objective optimization model

Reda Nujoom, Qian Wang, Ahmed Mohammed

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO₂ emissions when designing a lean manufacturing system. This paper addresses these issues by evaluating a sustainable manufacturing system design considering energy consumption, CO₂ emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO₂ emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a manufacturing system. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model.

Original language	English
Title of host publication	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publication	Addressing Global Challenges through Automation and Computing
Editors	Jie Zhang
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9780701702618
DOIs	https://doi.org/10.23919/IConAC.2017.8082052
Publication status	Published - 23 Oct 2017
Event	23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017

Publication series

Name	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Conference

Conference	23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17

Bibliographical note

Funding Information:
The authors wish to thank the Higher Committee for Education Development in Saudi Arabia for the financial support to this study.

Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.

Keywords

CO
Energy consumption
Environmental constraints
Lean manufacturing
Multi-objectives
Sustainable manufacturing systems

ASJC Scopus subject areas

Control and Optimization
Safety, Risk, Reliability and Quality
Health Informatics
Computer Networks and Communications
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.23919/IConAC.2017.8082052

Cite this

Nujoom, R., Wang, Q., & Mohammed, A. (2017). Towards a sustainable manufacturing system design: A multi-objective optimization model. In J. Zhang (Ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing Article 8082052 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/IConAC.2017.8082052

Nujoom, Reda ; Wang, Qian ; Mohammed, Ahmed. / Towards a sustainable manufacturing system design : A multi-objective optimization model. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. editor / Jie Zhang. Institute of Electrical and Electronics Engineers (IEEE), 2017. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

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title = "Towards a sustainable manufacturing system design: A multi-objective optimization model",

abstract = "Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO2 emissions when designing a lean manufacturing system. This paper addresses these issues by evaluating a sustainable manufacturing system design considering energy consumption, CO2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a manufacturing system. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model.",

keywords = "CO, Energy consumption, Environmental constraints, Lean manufacturing, Multi-objectives, Sustainable manufacturing systems",

author = "Reda Nujoom and Qian Wang and Ahmed Mohammed",

note = "Funding Information: The authors wish to thank the Higher Committee for Education Development in Saudi Arabia for the financial support to this study. Publisher Copyright: {\textcopyright} 2017 Chinese Automation and Computing Society in the UK - CACSUK.; 23rd IEEE International Conference on Automation and Computing, ICAC 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

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doi = "10.23919/IConAC.2017.8082052",

language = "English",

series = "ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing",

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Nujoom, R, Wang, Q & Mohammed, A 2017, Towards a sustainable manufacturing system design: A multi-objective optimization model. in J Zhang (ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing., 8082052, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing, Institute of Electrical and Electronics Engineers (IEEE), 23rd IEEE International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8082052

Towards a sustainable manufacturing system design: A multi-objective optimization model. / Nujoom, Reda; Wang, Qian; Mohammed, Ahmed.
ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. ed. / Jie Zhang. Institute of Electrical and Electronics Engineers (IEEE), 2017. 8082052 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Nujoom, Reda

AU - Wang, Qian

AU - Mohammed, Ahmed

N1 - Funding Information: The authors wish to thank the Higher Committee for Education Development in Saudi Arabia for the financial support to this study. Publisher Copyright: © 2017 Chinese Automation and Computing Society in the UK - CACSUK.

PY - 2017/10/23

Y1 - 2017/10/23

N2 - Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO2 emissions when designing a lean manufacturing system. This paper addresses these issues by evaluating a sustainable manufacturing system design considering energy consumption, CO2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a manufacturing system. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model.

AB - Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO2 emissions when designing a lean manufacturing system. This paper addresses these issues by evaluating a sustainable manufacturing system design considering energy consumption, CO2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a manufacturing system. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model.

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AN - SCOPUS:85039978379

T3 - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

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A2 - Zhang, Jie

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 7 September 2017 through 8 September 2017

ER -

Nujoom R, Wang Q, Mohammed A. Towards a sustainable manufacturing system design: A multi-objective optimization model. In Zhang J, editor, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers (IEEE). 2017. 8082052. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). doi: 10.23919/IConAC.2017.8082052

Towards a sustainable manufacturing system design: A multi-objective optimization model

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this