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An improved genetic...
An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem
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- Fathi, Masood (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering
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- Nourmohammadi, Amir (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering
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- Ng, Amos H. C., 1970- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering
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- Syberfeldt, Anna, 1981- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering
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- Eskandari, Hamidreza (författare)
- Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
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(creator_code:org_t)
- Emerald Group Publishing Limited, 2020
- 2020
- Engelska.
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Ingår i: Engineering computations. - : Emerald Group Publishing Limited. - 0264-4401 .- 1758-7077. ; 37:2, s. 501-521
- Relaterad länk:
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Purpose – This study aims to propose an efficient optimization algorithm to solve the assembly line balancing problem (ALBP). The ALBP arises in high-volume, lean production systems when decision makers aim to design an efficient assembly line while satisfying a set of constraints.Design/methodology/approach – An improved genetic algorithm (IGA) is proposed in this study to deal with ALBP in order to optimize the number of stations and the workload smoothness.Findings – To evaluate the performance of the IGA, it is used to solve a set of well-known benchmark problems and a real-life problem faced by an automobile manufacturer. The solutions obtained are compared against two existing algorithms in the literature and the basic genetic algorithm. The comparisons show the high efficiency and effectiveness of the IGA in dealing with ALBPs.Originality/value – The proposed IGA benefits from a novel generation transfer mechanism that improves the diversification capability of the algorithm by allowing population transfer between different generations. In addition, an effective variable neighborhood search is employed in the IGA to enhance its local search capability.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- assembly line balancing
- genetic algorithm
- variable neighborhood search
- generation transfer
- Production and Automation Engineering
- Produktion och automatiseringsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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