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

来源：

INTERNATIONAL JOURNAL OF SIMULATION MODELLING | 2015年 / 14卷 / 01期

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

页码：98 / 109

页数：12

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