scholarly journals Exhaustive Search Based Heuristic for Solving Machine Layout Problem in Reconfigurable Manufacturing System Design

2018 ◽  
Vol 51 (11) ◽  
pp. 78-83 ◽  
Author(s):  
Hichem Haddou Benderbal ◽  
Mohammed Dahane ◽  
Lyes Benyoucef
Keyword(s):  
System Design ◽  
Manufacturing System ◽  
Exhaustive Search ◽  
Reconfigurable Manufacturing ◽  
Layout Problem ◽  
Reconfigurable Manufacturing System ◽  
Machine Layout ◽  
Manufacturing System Design

scholarly journals Sustainable Reconfigurable Manufacturing System Design Using Adapted Multi-Objective Evolutionary Based Approaches

2021 ◽  
Author(s):  
Imen Khettabi ◽  
Lyes Benyoucef ◽  
Mohamed Amine Boutiche
Keyword(s):  
Genetic Algorithms ◽  
System Design ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Total Production ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Nsga Ii ◽  
Multi Objective ◽  
Manufacturing System Design

Abstract Nowadays, manufacturing systems should be cost-effective and environmentally harmless to cope with various challenges in today's competitive markets. In this paper, we aim to solve an environmental oriented multi-objective reconfigurable manufacturing system design (ie., sustainable reconfigurable machines and tools selection) in the case of a single unit process plan generation. A non-linear multi-objective integer program (NL-MOIP) is presented first, where four objectives are minimised respectively, the total production cost, the total production time, the amount of the greenhouse gases emitted by machines and the hazardous liquid wastes. Second, to solve the problem, we propose four adapted versions of evolutionary approaches, namely two versions of the well known non-dominated sorting genetic algorithm (NSGA-II and NSGA-III), weighted genetic algorithms (WGA) and random weighted genetic algorithms (RWGA). To illustrate the efficiency of the four approaches, several instances of the problem are experimented and the obtained results are analysed using three metrics respectively hypervolume, spacing metric and cardinality of the mixed Pareto fronts. Moreover, the influences of the probabilities of genetic operators on the convergence of the adapted NSGA-III are analysed and TOPSIS method is used to help the decision maker ranking and selecting the best process plans.

Reconfigurable Manufacturing System Design Using a Genetic Algorithm

2021 ◽  
pp. 130-139
Author(s):  
Marco Bortolini ◽  
Cristian Cafarella ◽  
Emilio Ferrari ◽  
Francesco Gabriele Galizia ◽  
Mauro Gamberi
Keyword(s):  
Genetic Algorithm ◽  
System Design ◽  
Manufacturing System ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Manufacturing System Design

Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Pansare ◽  
Gunjan Yadav ◽  
Madhukar R. Nagare
Keyword(s):  
Manufacturing System ◽  
Meta Analysis ◽  
Future Research ◽  
Future Trends ◽  
Reconfigurable Manufacturing ◽  
Research Papers ◽  
Reconfigurable Manufacturing System ◽  
Content Type ◽  
Related Research ◽  
And Performance

Purpose Uncertainties in manufacturing and changing customer demands force manufacturing industries to adopt new strategies, such as the reconfigurable manufacturing system (RMS). To improve the implementation and performance of RMS, it is necessary to review the available literature and identify future trends in this field. This paper aims to analyze existing literature and to see trends in RMS-related research. Design/methodology/approach The systematic literature review and analysis of RMS-related research papers from 1999 to 2020 is carried out in this literature. The selected studies are analyzed based on the year of publication, journals, publishers, active authors, research design, countries, enablers, barriers, performance evaluation parameters and universities. Findings After the analysis of selected RMS-related research papers, the top countries, universities, journals, publishers and authors are identified in this domain. Research themes and trends in research are identified in this study. Besides, it has been noted that there is a need for further research in this domain and for the creation of a generalized framework that can guide researchers and practitioners to increase RMS adoption. Practical implications Research insights, guidance and observations from this paper are provided to RMS-related researchers and practitioners. Important research gaps are identified in this study, which can provide direction for future research and trends in RMS research. Originality/value The study presented focuses mainly on the method of collecting, organizing, capturing, interpreting and analyzing data to provide more insight into RMS to identify future trends in research.

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