MULTI OBJECTIVE OPTIMIZATION FOR SUSTAINABLE MANUFACTURING, APPLICATION IN TURNING

被引:19
|
作者
Hassine, H. [1 ,2 ]
Barkallah, M. [1 ]
Bellacicco, A. [2 ]
Louati, J. [1 ]
Riviere, A. [2 ]
Haddar, M. [1 ]
机构
[1] Univ Sfax, Natl Engn Sch Sfax, Lab Mech Modeling & Mfg, Sfax, Tunisia
[2] Height Inst Mech Paris, Lab Engn Mech Struct & Mat, Saint Ouen, France
关键词
Sustainable Manufacturing; Multi Objective Optimization; Particle Swarm Optimization; Turning; GENETIC ALGORITHM;
D O I
10.2507/IJSIMM14(1)9.292
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:98 / 109
页数:12
相关论文
共 50 条
  • [21] Multi-objective Optimization of a Multi-site Manufacturing Network
    Felfel, Houssem
    Ayadi, Omar
    Masmoudi, Faouzi
    MECHATRONIC SYSTEMS: THEORY AND APPLICATIONS, 2014, : 69 - 76
  • [22] Energy and cost integration for multi-objective optimisation in a sustainable turning process
    Bagaber, Salem Abdullah
    Yusoff, Ahmad Razlan
    MEASUREMENT, 2019, 136 : 795 - 810
  • [23] Cost optimization of the AISI-1018 turning process under sustainable manufacturing
    Cesen, Mario
    Vila, Carlos
    Ayabaca, Cesar
    Zambrano, Ivan
    Valverde, Javier
    Fuentes, Patricio
    MATERIALS TODAY-PROCEEDINGS, 2022, 49 : 58 - 63
  • [24] Multi-objective Scheduling Optimization of Manufacturing Resources in Cloud Manufacturing Environment
    Zhang, Hong-Guo
    Shi, Yan-Lei
    Ma, Chao
    Zhang, Shu-Li
    Liu, Sheng-Hui
    Journal of Computers (Taiwan), 2019, 30 (05): : 60 - 74
  • [25] Multi-Objective Optimization Of Hard Turning: A Genetic Algorithm Approach
    Manav, Omkar
    Chinchanikar, Satish
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (05) : 12240 - 12248
  • [26] Sustainability-Focused Multi-objective Optimization of a Turning process
    Iván La Fé Perdomo
    Ramón Quiza
    Dries Haeseldonckx
    Marcelino Rivas
    International Journal of Precision Engineering and Manufacturing-Green Technology, 2020, 7 : 1009 - 1018
  • [27] Sustainability-Focused Multi-objective Optimization of a Turning process
    La Fe Perdomo, Ivan
    Quiza, Ramon
    Haeseldonckx, Dries
    Rivas, Marcelino
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2020, 7 (05) : 1009 - 1018
  • [28] Multi-objective optimization of multi-pass turning AISI 1064 steel
    Radovanovic, Miroslav
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 100 (1-4): : 87 - 100
  • [29] Multi-objective optimization of multi-pass turning AISI 1064 steel
    Miroslav Radovanović
    The International Journal of Advanced Manufacturing Technology, 2019, 100 : 87 - 100
  • [30] Multi-objective optimization of multi-pass turning AISI 1064 steel
    Radovanović, Miroslav
    International Journal of Advanced Manufacturing Technology, 2019, 100 (1-4): : 87 - 100