Multi Objective Optimization for Sustainable Manufacturing, Application in Turning
Open accessAbstract
As manufacturing converts raw materials into products, environmental wastes and emissions are simultaneously generated from the consumption of materials and energy during the manufacturing processes.Then, sustainable manufacturing is defined as the creation of manufactured products using processes that minimize negative environmental impacts, conserve energy and natural resources and that are safe on employees, communities and consumers.Such an approach requires a compromise between ecological and economic aspects to meet the pillars of sustainable development.This paper presents the implementation of particle swarm tool in order to solve multi-objective optimization for sustainable manufacturing.Hence, this study might serve as part of a global approach to model sustainable manufacturing.The main objective of this approach is to develop operations that allow production with respect of ecological, economic and technological constraints.We developed a case study on the cutting conditions during turning at the end of our study.
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This approach has been applied in a number of climate change-related fields, including energy and infrastructure planning, industry, land use, and more.
“This approach has been applied in a number of climate change-related fields, including energy and infrastructure planning [38,325,525,635,732,856], industry [122,334], land use [462,809], and more [127,317,539,761].”
From Tackling climate change with machine learning (2023) · cites this paper as [334]
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- Authors
- Hassine, H., Barkallah, M., & Bellacicco, A.
- Affiliations
- CentraleSupélec (FR)
- University of Sfax (TN)
- ORCID
- Hassine, H.
- Venue
- International Journal of Simulation Modelling
- Publisher
- DAAAM International
- Published
- 2015-03-15
- Pages
- 98-109
- ISSN
- 1726-4529 (ISSN-L)
- OpenAlex
- W2314979361
- Cited by
- 28
- References
- 20
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 4 · 2018: 2 · 2017: 7 · 2016: 3 · 2015: 2
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Simulation Modelling (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
- Physical Sciences › Engineering › Mechanical Engineering › Advanced machining processes and optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Scheduling and Optimization Algorithms
- Keywords
- sustainable manufacturing, multi-objective optimization, particle swarm optimization, turning, cutting parameters, environmental impact of manufacturing, energy conservation
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