Application of Biogeography-Based Optimisation for Machine Layout Design Problem

Sooncharoen, Saisumpan; Vitayasak, Srisatja; Pongcharoen, Pupong

doi:10.18178/ijmerr.4.3.251-254

Cited by 5 publications

(7 citation statements)

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“…optimum konumu ve bu tesisler arasındaki optimum malzeme akışıdır. Tesis yerleşiminin temel amacı toplam iş akışını en aza indirgemek, dolayısıyla verimliliği artırmak, atölyedeki toplam mal akışını azaltmak, malların operatörlerin ve makinelerin arasındaki akışını iyileştirmek, malzeme taşıma maliyetlerini ve üretim sistemindeki toplam teslim süresini en aza indirmektir (Sooncharoen, Vitayasak ve Pongcharoen, 2015;Hossain, Rasel ve Talapatra, 2014;Hosseini-Nasab, Fereidouni, Ghomi ve Fakhrzad, 2018 (Naik ve Kallurkar, 2016).…”

Section: Tesis Yerleşimi çAlışmalarıunclassified

Otomoti̇v Sektöründe Kai̇zen Yöntemi̇ İle Tesi̇s Yerleşi̇m Tasarimi Ve Reba Anali̇zi̇

Uluskan

Özyaliner

2021

Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi

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Bu çalışmada süreç iyileştirme tekniklerinden Kaizen ve tesis yerleşim tasarımı yöntemleri entegre bir şekilde kullanılarak otomotiv yan sanayiinde üretimi yapılan bir parça ele alınmış ve süreçte gerçekleşen hatalar incelenmiştir. Bu çalışma sonucunda, müşteri memnuniyetini önemli derecede etkileyen bir hataya yönelik önleme ve iyileştirme faaliyetleri sunularak bu faaliyetlerin beklenen getirileri belirlenmiştir. Süreç kalitesinin Kaizen yöntemi ile iyileştirilmesi sağlanırken ergonomik yönler göz önüne alınarak tesis yerleşimi önerileri sunulmuş ve bu önerilerin uygulanabilirlik açısından maliyet analizleri gerçekleştirilmiştir. İş sağlığı ve güvenliği açısından, bu çalışmada önerilen tasarım iyileştirmesi sonrasında, iş kazası riski %20 oranında azaltılacak ve çalışanlara daha güvenli bir atölye ortamı sağlanacaktır. Ayrıca, yine bu çalışmada sunulan tasarım ve iyileştirme önerileri ile parçaların hatalı kasalanmasından kaynaklı hatalar azalarak finansal kayıplar önlenecek, çevrim süresinden yaklaşık %75’lik bir kazanç sağlanacak ve kullanılan alandan yaklaşık %22’lik bir verim artışı sağlanarak maliyet azaltılacaktır.

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Section: Tesis Yerleşimi çAlışmalarıunclassified

Otomoti̇v Sektöründe Kai̇zen Yöntemi̇ İle Tesi̇s Yerleşi̇m Tasarimi Ve Reba Anali̇zi̇

Uluskan

Özyaliner

2021

Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi

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“…The literature survey states that a number of meta-heuristic techniques such as GA, PSO, SA, etc., have been implemented to solve multi-objective FLPs, but till now, BBO algorithm is not attempted to solve the FLPs. However, an application of BBO algorithm for machine layout design problems to minimize the material handling distance is described by Sooncharoen et al (2015). A hybrid technique is proposed combining BBO and TS algorithms to solve QAP and obtained better results within reasonable computational time by Lim et al (2016).…”

Section: Application Of Bbo and Nsbbo From Literaturementioning

confidence: 99%

Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms

Singh¹,

Ingole²

2019

10.5267/j.ijiec

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Quantitative and qualitative objectives are both significant to solve any facility layout problem (FLP), which is called as multi-objective FLP. Generally, quantitative factors are considered as material handling cost, time, etc., and qualitative factors are considered as closeness rating, hazardous movement between the facilities, etc. For solving and optimizing two or more objectives, two methods are available. First is weight approach method and second is nondominated sorting method. In the former method, suitable weights are given to each objective and combined in a single objective function; while in later method, the objectives are defined separately and by making comparison of the solutions on the non-dominance criteria, best Pareto-optimal solutions are obtained. In this paper, equal area multi-objective FLPs which are formulated as quadratic assignment problem (QAP) are considered and optimized using biogeography based optimization (BBO) algorithm and non-dominated sorting BBO (NSBBO) algorithm. BBO is one of the efficient metaheuristic techniques, developed to solve complex optimization problems. Computational results of BBO algorithm using weight approach illustrate its better performance compared to other methods while solving multi-objective FLPs. Furthermore to obtain Pareto optimal solutions, NSBBO algorithm is implemented.

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“…There has been limited research that has applied the BBO and its modifications to solve layout problems, although it has been applied to a wind farm layout optimisation problem [17], multi-objective facility layout problems [26], production facilities layout based upon a virtual cellular manufacturing system [27]. Sooncharoen et al [28] applied the original BBO to solve the machine layout design problem and identified appropriate settings for the BBO parameters using a design of experiments approach. They recommended that future work should consider improving the algorithm's performance by modifying and/or hybridising the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Development of a modified biogeography-based optimisation tool for solving the unequal-sized machine and multi-row configuration facility layout design problem

Sooncharoen¹,

Vitayasaka²,

Pongcharoen³

et al. 2022

ScienceAsia

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An effective layout can reduce material flow distances and manufacturing lead-times, whilst increasing productivity, throughput and cost effectiveness. The facilities layout problem (FLP) is a non-deterministic polynomialtime hard problem, which means that the computational time taken to produce solutions increases exponentially with problem size. Metaheuristics are particularly suitable for solving such problems in reasonable time. Biogeographybased optimisation (BBO) is a well-known nature-inspired computing metaheuristic. Its mechanisms mimic an analogy with biogeography which relates to the migration, mutation and geographical distribution of biological organisms. This paper presents a novel BBO optimisation tool that solves the unequal area facilities layout problem to generate multirow solutions that minimise the total material flow distance. Two novel modifications were made to the conventional BBO: the use of a Genetic Algorithm crossover operator in the migration process; and a changed method for selecting candidate solutions. The local search approaches used data on flow intensities and machine adjacencies. Experiments were conducted using five benchmark datasets obtained from the literature. The statistical analysis of the computational results indicated that the proposed mBBOs produced statistically better solutions than the conventional BBO and other metaheuristics for all datasets and converged more rapidly with comparable execution times.

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Application of Biogeography-Based Optimisation for Machine Layout Design Problem

Cited by 5 publications

References 0 publications

Otomoti̇v Sektöründe Kai̇zen Yöntemi̇ İle Tesi̇s Yerleşi̇m Tasarimi Ve Reba Anali̇zi̇

Otomoti̇v Sektöründe Kai̇zen Yöntemi̇ İle Tesi̇s Yerleşi̇m Tasarimi Ve Reba Anali̇zi̇

Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms

Development of a modified biogeography-based optimisation tool for solving the unequal-sized machine and multi-row configuration facility layout design problem

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