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Bibliografías temáticas / Facility Layout Problem( FLP)

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Literatura académica sobre el tema "Facility Layout Problem( FLP)"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 1 de febrero de 2022

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Artículos de revistas sobre el tema "Facility Layout Problem( FLP)"

1

Mohd Bakeri, Noorhadila, Mohd Faizal Omar, Mohd Nasrun Mohd Nawi, and Faizal Baharum. "Improving Optimization Solution for Facility Layout Problem with Thermal Comfort." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 76, no. 3 (2020): 49–61. http://dx.doi.org/10.37934/arfmts.76.3.4961.

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Facility Layout Problem (FLP) can be considered as a classical problem in quantitative studies. However, the literature in FLP are largely neglected the thermal comfort as part of the objective function. Today, energy savings for buildings are a major concern in the world as they cover a big portion of energy use. The public room consumes high energy use because of its ability to occupy many people at one time. Issues arise when each person has a dissimilar thermal satisfaction rate, while each area in a room provides a different temperature. There are many factors that influence the people di

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2

Suo, Xiao Hong, and Zhan Qiang Liu. "Relationships among SFLP, DFLP and Robust Layout." Applied Mechanics and Materials 10-12 (December 2007): 235–41. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.235.

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Facility layout plays an important role in the performance of manufacturing systems. Firstly, this paper describes the derivations and classification of facility layout problem (FLP). The concepts of static facility layout problem (SFLP), dynamic facility layout problem (DFLP) and robust layout problem are introduced, and their main performance characteristics are compared with each other. Then, the procedure of rearrangement costs in DFLP is proposed. Some main characteristics of SFLP and DFLP, DFLP and robust layout are compared respectively. Lastly, the difference and connection among SFLP,

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3

Chraibi, Abdelahad, Said Kharraja, Ibrahim H. Osman, and Omar Elbeqqali. "A Multi-Agents System for Solving Facility Layout Problem: Application to Operating Theater." Journal of Intelligent Systems 28, no. 4 (2019): 601–19. http://dx.doi.org/10.1515/jisys-2017-0081.

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Abstract Facility layout problem (FLP) has a great impact on the efficiency of any organization. It is concerned with defining the optimal location for each facility in order to optimize the supply chain productivity. In this kind of problems, the choice of resolution approach depends on the complexity and the size of the problem. Operating theaters are generally big structures containing a lot of facilities, which makes the conception of their layout a complex problem. In the literature, exact methods are powerless when faced with problem sizes up to 18 facilities. This leads us to explore ot

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4

Ohmori, Shunichi, and Kazuho Yoshimoto. "A Primal-Dual Interior-Point Method for Facility Layout Problem with Relative-Positioning Constraints." Algorithms 14, no. 2 (2021): 60. http://dx.doi.org/10.3390/a14020060.

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We consider the facility layout problem (FLP) in which we find the arrangements of departments with the smallest material handling cost that can be expressed as the product of distance times flows between departments. It is known that FLP can be formulated as a linear programming problem if the relative positioning of departments is specified, and, thus, can be solved to optimality. In this paper, we describe a custom interior-point algorithm for solving FLP with relative positioning constraints (FLPRC) that is much faster than the standard methods used in the general-purpose solver. We build

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5

Hou, Shiwang, Haijun Wen, Shunxiao Feng, Hui Wang, and Zhibin Li. "Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout." Computational Intelligence and Neuroscience 2019 (June 19, 2019): 1–17. http://dx.doi.org/10.1155/2019/3650923.

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Unequal area facilities layout problem (UA-FLP) is an inevitable problem in the process of new construction, reconstruction, and expansion of enterprises. The rationality of the facilities layout has a great influence on the operation performance of the production system. Finding the optimal solution of UA-FLP according to the requirement of production process is the main content of the plant design. The facilities were constrained by given areas and aspect ratio, respectively. By adopting the method of slicing tree, the layout space was divided into multiple regions for each facility. The gen

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6

Kreß, Antonio, Björn Mittenzwei, Martin Knöß, and Joachim Metternich. "Algorithmenbasierte Fabrikplanung." Zeitschrift für wirtschaftlichen Fabrikbetrieb 116, no. 3 (2021): 120–23. http://dx.doi.org/10.1515/zwf-2021-0023.

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Abstract Rechnergestützte Optimierungsverfahren unterstützen Entscheidungen der innerbetrieblichen Layoutplanung. Beim Facility Layout Problem (FLP) wird die bestmögliche Position von Maschinen und Anlagen in einem Fabrikgelände bestimmt. In diesem Beitrag wird gezeigt, wie die Lösung des FLP dazu beitragen kann, das Fabriklayout der SMC Deutschland GmbH für eine geplante Erweiterung zu optimieren. Zum Einsatz kamen dabei genetische Algorithmen. Die Lösung des FLP wurde mit dem aktuellen Planungsstand im Unternehmen verglichen. Dabei wurde festgestellt, dass bei Anwendung des FLP bis zu 14 Pro

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7

Sun, Xue, Lien-Fu Lai, Ping Chou, Liang-Rui Chen, and Chao-Chin Wu. "On GPU Implementation of the Island Model Genetic Algorithm for Solving the Unequal Area Facility Layout Problem." Applied Sciences 8, no. 9 (2018): 1604. http://dx.doi.org/10.3390/app8091604.

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Facility layout problem (FLP) is one of the hottest research areas in industrial engineering. A good facility layout can achieve efficient production management, improve production efficiency, and create high economic values. Because FLP is an NP-hard problem, meaning it is impossible to find the optimal solution when problem becomes sufficiently large, various evolutionary algorithms (EAs) have been proposed to find a sub-optimal solution within a reasonable time interval. Recently, a genetic algorithm (GA) was proposed for unequal area FLP (UA-FLP), where the areas of facilities are not iden

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8

Ruiz Lizama, Edgar Cruz. "Optimización multi-objetivo al problema de distribución de planta usando algoritmos genéticos: cuestiones previas para una propuesta de solución." Industrial Data 17, no. 2 (2014): 120. http://dx.doi.org/10.15381/idata.v17i2.12057.

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El artículo es una revisión del estado del arte y de los conceptos teóricos necesarios para elaborar una propuesta de solución al Facility Layout Problem FLP. En el artículo se examinan conceptos tales como meta heurísticas, computación evolutiva, programación evolutiva, algoritmos genéticos, tendientes a plantear una alternativa de solución al difícil problema de la distribución en planta.

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9

Mocan, Bogdan, Darius Buna, Mircea Fulea, and Stelian Brad. "Increasing the Efficiency of Robotic Manufacturing Systems by Layout Optimization." Applied Mechanics and Materials 762 (May 2015): 283–90. http://dx.doi.org/10.4028/www.scientific.net/amm.762.283.

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To achieve high efficiency in a robotic manufacturing system, an optimized layout arrangement and material flow path design are important due to the large percentage of product cost that is related to material handling, equipment positioning, material flow path, and products variety and volume (flexibility). Facility layout problem (FLP) can be considered as a multi-criteria problem due to presence of the qualitative criteria such as flexibility and the quantitative criteria for instance total cost of handling material. In this paper, we combined a well-known facility layout algorithm (CRAFT)

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10

Filipović, Marko, Stjepan Bogdan, and Tamara Petrović. "Robot workstation failure recovery based on a layout optimization." Transactions of the Institute of Measurement and Control 40, no. 2 (2016): 375–88. http://dx.doi.org/10.1177/0142331216656757.

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This article focuses on the robot workstation layout problem and briefly discusses a recovery control strategy. Since present industrial workstations utilize a flexible manufacturing cell served by a robot, researchers in this field try to find the best method determining the physical organization of resources in available space. As solving the facility layout problem (FLP) might reduce material handling expenses, the most common objective in these approaches is to minimize the material handling costs. Our work introduces a new approach in obtaining the optimal positions of resources in a robo

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