Sustainable multi-unit process plan generation in a reconfigurable manufacturing environment: A comparative study of three hybrid-meta-heuristics

Achieving competitiveness in nowadays manufacturing market goes through being cost and time-efficient as well as being environmentally benign. In this paper, three hybrid-meta-heuristics are proposed and compared to solve the single-product multi-unit process plan generation problem. Moreover, in th...

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Veröffentlicht in:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) Jg. 1; S. 661 - 668
Hauptverfasser:	Touzout, Faycal A., Benyoucef, Lyes
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2018
Schlagworte:	Energy consumption Greenhouse effect greenhouse gases iterated local search Manufacturing systems multi-objective integer linear programming multi-objective optimization Optimization process plan generation reconfigurable manufacturing system sustainability
ISSN:	1946-0759
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Achieving competitiveness in nowadays manufacturing market goes through being cost and time-efficient as well as being environmentally benign. In this paper, three hybrid-meta-heuristics are proposed and compared to solve the single-product multi-unit process plan generation problem. Moreover, in the quest of achieving a sustainable reconfigurable manufacturing system (RMS), three criteria are considered: respectively, the total production cost, the completion time and the greenhouse gases (GHG) emitted by the manufacturing system during the production process. To illustrate the applicability of the approaches, an example is presented and numerical results analysed.
ISSN:	1946-0759
DOI:	10.1109/ETFA.2018.8502551