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Artículos de revistas 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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1

Mohd Bakeri, Noorhadila, Mohd Faizal Omar, Mohd Nasrun Mohd Nawi y Faizal Baharum. "Improving Optimization Solution for Facility Layout Problem with Thermal Comfort". Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 76, n.º 3 (29 de octubre de 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 dispersion in the room including the facility layout. However, it is really testing to handle an air-conditioning control () system by considering the mention factors to ensure the thermal satisfaction is increased and energy is reduced. Since lack of report on thermal factors in Facility Layout Problem (FLP) area, this work aims to optimize the temperature setting of an system at the best point and achieving the finest plan for the facility layout in a room. Further, our ultimate goals to maximize the thermal comfort level and reduce energy consumption are able to accomplish. A non-linear mathematical model is utilized to optimize the thermal satisfaction rate () and room layout. At the end of the article, we proposed an Evolutionary Algorithm (EA) to find a quality solution or near optimal since it is hard to solve this problem in a reasonable time.

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2

Suo, Xiao Hong y Zhan Qiang Liu. "Relationships among SFLP, DFLP and Robust Layout". Applied Mechanics and Materials 10-12 (diciembre de 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, DFLP and robust layout are analyzed. The research results indicate that the dynamic facility layout and robust layout are suitable for the dynamic and changeable manufacturing systems. The method for development of DFLP and its implementation are presented based on SFLP and robust layout.

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3

Chraibi, Abdelahad, Said Kharraja, Ibrahim H. Osman y Omar Elbeqqali. "A Multi-Agents System for Solving Facility Layout Problem: Application to Operating Theater". Journal of Intelligent Systems 28, n.º 4 (25 de septiembre de 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 other approaches, looking for efficient solutions. This paper presents a novel approach using a multi-agents system where agents’ skills are exploited to cover a wide research space, to accelerate the decision-making process and to deal with real-life problem sizes. This decision-making tool is based on several mixed integer linear programming models for solving the FLP, and considers two types of environments with deterministic and variant patient demand. Several experiments have been performed to demonstrate the effectiveness of our approach, and several problem instances with >80 facilities have been solved in reasonable time.

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4

Ohmori, Shunichi y Kazuho Yoshimoto. "A Primal-Dual Interior-Point Method for Facility Layout Problem with Relative-Positioning Constraints". Algorithms 14, n.º 2 (13 de febrero de 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 a compact formation of FLPRC and its duals, which enables us to establish the optimal condition very quickly. We use this optimality condition to implement the primal-dual interior-point method with an efficient Newton step computation that exploit special structure of a Hessian. We confirm effectiveness of our proposed model through applications to several well-known benchmark data sets. Our algorithm shows much faster speed for finding the optimal solution.

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5

Hou, Shiwang, Haijun Wen, Shunxiao Feng, Hui Wang y Zhibin Li. "Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout". Computational Intelligence and Neuroscience 2019 (19 de junio de 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 genetic algorithm was developed by using layered coding to show the slicing process. Considering the production logistics cost as well as the adjacency relations between the facilities, the goal function was established and the optimal solution was obtained by running the proposed algorithm. Finally, the feasibility of the proposed approach was validated by a set of known problems. The comparison results show that it can provide decision support for rapid optimal layout of multifacilities.

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6

Kreß, Antonio, Björn Mittenzwei, Martin Knöß y Joachim Metternich. "Algorithmenbasierte Fabrikplanung". Zeitschrift für wirtschaftlichen Fabrikbetrieb 116, n.º 3 (1 de marzo de 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 Prozent bessere Zielfunktionswerte erreicht werden.

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7

Sun, Xue, Lien-Fu Lai, Ping Chou, Liang-Rui Chen y Chao-Chin Wu. "On GPU Implementation of the Island Model Genetic Algorithm for Solving the Unequal Area Facility Layout Problem". Applied Sciences 8, n.º 9 (10 de septiembre de 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 identical. More precisely, the GA is an island model based, which is called IMGA. Since EAs are still very time consuming, many efforts have been devoted to how to parallelize various EAs including IMGA. In recent work, Steffen and Dietmar proposed how to parallelize island models of EAs. However, their parallelization approaches are preliminary because they focused mainly on comparing the performances between different parallel architectures. In addition, they used one mathematical function to model the problem. To further investigate on how to parallelize the IMGA by GPU, in this paper we propose multiple parallel algorithms, for each individual step in the IMGA when solving the industrial engineering problem, UA-FLP, and conduct experiments to compare their performances. After integrating better algorithms for all steps into the IMGA, our GPU implementation outperforms the CPU counterpart and the best speedup can be as high as 84.

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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, n.º 2 (20 de diciembre de 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 y Stelian Brad. "Increasing the Efficiency of Robotic Manufacturing Systems by Layout Optimization". Applied Mechanics and Materials 762 (mayo de 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) with Analytic Hierarchy Process (AHP) technique and decision matrix method to facilitate a multi criteria evaluation. The proposed approach aims to incorporate qualitative criteria in addition to quantitative criteria for evaluating facility layout patterns. A case study on a robotic system for manufacturing plate type oil coolers reveals the effectiveness of the proposed approach.

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10

Filipović, Marko, Stjepan Bogdan y Tamara Petrović. "Robot workstation failure recovery based on a layout optimization". Transactions of the Institute of Measurement and Control 40, n.º 2 (7 de julio de 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 robot workstation where considerable contribution to the final layout design comes from the failure recovery data. The optimization criteria include material flow and transportation cost as the standard FLP objectives. In our approach we also consider the resource rate of failure and treatment quality as a part of the failure recovery. The optimization problems were solved with the state of the art optimization algorithm for the nonlinear optimization problems. The computational results of the study are discussed and analysed on the basis of a real industrial application. The commonly used objective function is compared to the proposed objective function extended with the failure recovery. As an important part of the failure recovery strategy, making the proper recovery decision in the workstation control design is also discussed.

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11

Liao, Zhongqing, Ming Cong, Dong Liu y Fanjie Meng. "Using simulation in layout verification of solar module assembly workshop". International Journal of Modeling, Simulation, and Scientific Computing 09, n.º 02 (20 de marzo de 2018): 1850017. http://dx.doi.org/10.1142/s1793962318500174.

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Facility layout problem (FLP) contemplates the optimization of space utilization, costs, and material flow. Commercial simulation softwares are commonly used to validate layouts by simulating the real world material flow and production process. To validate a layout scenario of a solar module assembly workshop, a 3D simulation model is presented which was designed on VisualComponents software. To begin with, we introduce the layout characteristics and use the systematic layout planning (SLP) method to design the block layout of workshop. Then, we built components library which contains all the facilities needed in the production line, specifically conveyors, processing equipments, robots, buffers. Finally, we have established a simulation layout model using the components in the customized library according to the block layout, and configured the components which were allocated in the layout by setting the parameters and building the connection between components via signal. To improve the performance of the workshop, we have found the best work-in-process (WIP) value for the workshop and the optimal number of workers. Additionally, the layout model was used to test collision and reachability. It demonstrated the production process in a realistic simulation environment which helped in the sales process as well. The reusable component models we have built make it easy to build a layout within a short time and validate the effectiveness of the layout scenarios for any other projects.

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12

Li, Hong, Xiao Qing Gan y Li Lin Ma. "Research on Facility Layout Problems Based on Ant Colony Algorithm". Applied Mechanics and Materials 130-134 (octubre de 2011): 2517–22. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2517.

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In this paper, we propose a variant of the QAP-based facility layout problem: the fixed-point facility layout problem (FFLP). .Based on Ant Colony algorithm , we design the modified ant algorithm for solving the general facility layout problem (GFLP). In addition, we also design the ant algorithm for FFLP by increasing the operator of data preprocessing. Analyze the impact of the different parameters values on the results by a lot of data testing. Experimental results show that the algorithm has strong capability of global search and rapid speed of convergence.

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13

Salas-Morera, Lorenzo, Laura García-Hernández y Carlos Carmona-Muñoz. "A Multi-User Interactive Coral Reef Optimization Algorithm for Considering Expert Knowledge in the Unequal Area Facility Layout Problem". Applied Sciences 11, n.º 15 (21 de julio de 2021): 6676. http://dx.doi.org/10.3390/app11156676.

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The problem of Unequal Area Facility Layout Planning (UA-FLP) has been addressed by a large number of approaches considering a set of quantitative criteria. Moreover, more recently, the personal qualitative preferences of an expert designer or decision-maker (DM) have been taken into account too. This article deals with capturing more than a single DM’s personal preferences to obtain a common and collaborative design including the whole set of preferences from all the DMs to obtain more complex, complete, and realistic solutions. To the best of our knowledge, this is the first time that the preferences of more than one expert designer have been considered in the UA-FLP. The new strategy has been implemented on a Coral Reef Optimization (CRO) algorithm using two techniques to acquire the DMs’ evaluations. The first one demands the simultaneous presence of all the DMs, while the second one does not. Both techniques have been tested over three well-known problem instances taken from the literature and the results show that it is possible to obtain sufficient designs capturing all the DMs’ personal preferences and maintaining low values of the quantitative fitness function.

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14

Mansur, Masriah, Ahmad Afif Ahmarofi y Anderes Gui. "Designing the Re-layout of the Production Floor Using Integrated Systematic Layout Planning (SLP) and Simulation Methods". International Journal of Industrial Management 10 (5 de marzo de 2021): 151–59. http://dx.doi.org/10.15282/ijim.10.1.2021.6058.

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In the manufacturing company, an efficient production floor affects the productivity of the company. Thus, a well design production floor layout assists the company to achieve its objectives. In this regard, this study aims to design a new alternative production floor layout for the XYZ manufacturing company. The company facing the facility layout problem (FLP) where their workstation on the production floor was not located based on the activity-relationship. Thus, the company struggles to reduce the distance travel of their workers from one station to another by re-layout their production floor. The Systematic Layout Planning (SLP) method was used to determine the best new alternative layout for the company. Subsequently, the AnyLogic simulation software was utilized to test the effectiveness of the layout by using the number of steps as the parameter. As a result, it is found that the total number of steps of workers in the production floor can be reduced from 16,554 steps (in existing layout) to 15,956 steps (in new alternative layout).

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15

Kim, Minhee y Junjae Chae. "Monarch Butterfly Optimization for Facility Layout Design Based on a Single Loop Material Handling Path". Mathematics 7, n.º 2 (6 de febrero de 2019): 154. http://dx.doi.org/10.3390/math7020154.

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Facility layout problems (FLPs) are concerned with the non-overlapping arrangement of facilities. The objective of many FLP-based studies is to minimize the total material handling cost between facilities, which are considered as rectangular blocks of given space. However, it is important to integrate a layout design associated with continual material flow when the system uses circulating material handling equipment. The present study proposes approaches to solve the layout design and shortest single loop material handling path. Monarch butterfly optimization (MBO), a recently-announced meta-heuristic algorithm, is applied to determine the layout configuration. A loop construction method is proposed to construct a single loop material handling path for the given layout in every MBO iteration. A slicing tree structure (STS) is used to represent the layout configuration in solution form. A total of 11 instances are tested to evaluate the algorithm’s performance. The proposed approach generates solutions as intended within a reasonable amount of time.

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16

Hameed, Asaad Shakir, Modhi Lafta Mutar, Haiffa Muhsan B. Alrikabi, Zakir Hussain Ahmed, Abeer A. Abdul–Razaq y Huda Karem Nasser. "A Hybrid Method Integrating a Discrete Differential Evolution Algorithm with Tabu Search Algorithm for the Quadratic Assignment Problem: A New Approach for Locating Hospital Departments". Mathematical Problems in Engineering 2021 (17 de marzo de 2021): 1–21. http://dx.doi.org/10.1155/2021/6653056.

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The facility layout problem (FLP) is a very important class of NP-hard problems in operations research that deals with the optimal assignment of facilities to minimize transportation costs. The quadratic assignment problem (QAP) can model the FLP effectively. One of the FLPs is the hospital facility layout problem that aims to place comprehensive clinics, laboratories, and radiology units within predefined boundaries in a way that minimizes the cost of movement of patients and healthcare personnel. We are going to develop a hybrid method based on discrete differential evolution (DDE) algorithm for solving the QAP. In the existing DDE algorithms, certain issues such as premature convergence, stagnation, and exploitation mechanism have not been properly addressed. In this study, we first aim to discover the issues that make the current problem worse and to identify the best solution to the problem, and then we propose to develop a hybrid algorithm (HDDETS) by combining the DDE and tabu search (TS) algorithms to enhance the exploitation mechanism in the DDE algorithm. Then, the performance of the proposed HDDETS algorithm is evaluated by implementing on the benchmark instances from the QAPLIB website and by comparing with DDE and TS algorithms on the benchmark instances. It is found that the HDDETS algorithm has better performance than both the DDE and TS algorithms where the HDDETS has obtained 42 optimal and best-known solutions from 56 instances, while the DDE and TS algorithms have obtained 15 and 18 optimal and best-known solutions out of 56 instances, respectively. Finally, we propose to apply the proposed algorithm to find the optimal distributions of the advisory clinics inside the Azadi Hospital in Iraq that minimizes the total travel distance for patients when they move among these clinics. Our application shows that the proposed algorithm could find the best distribution of the hospital’s rooms, which are modeled as a QAP, with reduced total distance traveled by the patients.

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17

Shojaie, Amir Abbas y Seyed Esmail Seyedi Bariran. "Comparison of two modified meta-heuristic soft algorithms for solving a bi-objective Facility Layout Problem (FLP)". International Journal of Mathematics in Operational Research 16, n.º 1 (2020): 1. http://dx.doi.org/10.1504/ijmor.2020.10028388.

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18

Wanniarachchi, W. N. C., R. A. R. C. Gopura y H. K. G. Punchihewa. "Development of a Layout Model Suitable for the Food Processing Industry". Journal of Industrial Engineering 2016 (23 de mayo de 2016): 1–8. http://dx.doi.org/10.1155/2016/2796806.

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The food processing industry is a subset of the manufacturing sector with unique challenges. Among these, ensuring food hygiene and preventing contamination are two issues of prime importance. Hence, designers have to overcome such challenges when designing facilities suitable for food processing. The paper formulates a model that simplifies the layout planning process for the food processing facilities (FPF) in order to help the designers. A generalised framework that helps to visualise the Facilities Layout Problem (FLP) was initially developed. A layout model for FPF was then developed considering the unique features that need to be present in the layout. The model classifies the areas of FPF into five: primary, secondary, utilities, warehouse, and administration based on the activities and the level of risk present in food processing. It further proposes specific locations for the five sections in the factory layout. In order to test the performance of the framework and the model, a case study was conducted in a malted milk powder processing facility in Sri Lanka by changing its layout according to the proposed model. The framework and the model showed promise in its implementation. However, the approach and the layout model need to be evaluated in further cases in order to ascertain their usability and performance.

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19

Kusiak, Andrew y Sunderesh S. Heragu. "The facility layout problem". European Journal of Operational Research 29, n.º 3 (junio de 1987): 229–51. http://dx.doi.org/10.1016/0377-2217(87)90238-4.

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Bharitkar, Sunil, Kazuhiro Tsuchiya y Yoshiyasu Takefuji. "Comment on “The facility layout problem”". European Journal of Operational Research 75, n.º 1 (mayo de 1994): 233–34. http://dx.doi.org/10.1016/0377-2217(94)90196-1.

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21

Burggräf, Peter, Matthias Dannapfel, Viviane Hahn y Michael Preutenborbeck. "Uncovering the human evaluation of changeability for automated factory layout planning: an expert survey". Production Engineering 15, n.º 3-4 (23 de enero de 2021): 285–98. http://dx.doi.org/10.1007/s11740-020-01015-1.

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AbstractOn the way to automated layout planning numerous challenges must be faced. One of these challenges is the automated layout evaluation, which can be considered as the core of automated layout planning. The research field of factory planning differs from related research topics such as facility layout planning (FLP) from operations research (OR) by focusing for example on qualitative criteria in the evaluation. However, findings on how qualitative criteria can be interpreted in a quantifiable and measurable way are still rare. In this article, we address these questions with a focus on changeability, which can be regarded as the most important qualitative evaluation criterion in layout planning. For this purpose, a survey was conducted that aims to determine changeability from the understanding of industry experts and to define it consistently with the understanding from literature. Based on this understanding, performance metrics are derived to measure the layout changeability.

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22

Qu, Ping Bo. "Research on Optimization Technology of Facility Layout Based on Improved Differential Evolution Method". Advanced Materials Research 912-914 (abril de 2014): 1706–9. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1706.

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The facility layout design is the key problem in manufacturing system. Based on the constraints such as the cost of facility logistics and the space of equipment, this paper sets up a Quadratic Assignment Problem model of facility layout. The model is solved using Differential Evolution algorithm according to the features of facility layout, which is combined with Random Key technology. The test results performed on the liner and circular layout show the proposed approach can solve effectively the facility layout design problem.

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CHEN, GARY YU-HSIN y JU-CHIEH LO. "DYNAMIC FACILITY LAYOUT WITH MULTI-OBJECTIVES". Asia-Pacific Journal of Operational Research 31, n.º 04 (agosto de 2014): 1450027. http://dx.doi.org/10.1142/s0217595914500274.

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A problem in multi-objective dynamic facility layout is achieving distance- and adjacency-based objectives for arranging facility layouts across multiple time periods. As a non-deterministic polynomial time-hard problem, it resembles the quadratic assignment problem (QAP), which can be solved through meta-heuristics such as ant colony optimization (ACO). This study investigates three multi-objective approaches coupled with ACO to solve this problem. As the experimental design, we apply the proposed methods to solve the dynamic facility layout problem (DFLP), multi-objective facility layout problem, and multi-objective DFLP based on data sets from the literature to test the quality of the solution. The results show that the proposed methods are effective for solving the problem.

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24

Ulutas, Berna y A. Attila Islier. "Dynamic facility layout problem in footwear industry". Journal of Manufacturing Systems 36 (julio de 2015): 55–61. http://dx.doi.org/10.1016/j.jmsy.2015.03.004.

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Yaman, R. y E. Balibek. "Decision making for facility layout problem solutions". Computers & Industrial Engineering 37, n.º 1-2 (octubre de 1999): 319–22. http://dx.doi.org/10.1016/s0360-8352(99)00083-2.

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26

Castillo, Ignacio y Brett A. Peters. "An extended distance-based facility layout problem". International Journal of Production Research 41, n.º 11 (enero de 2003): 2451–79. http://dx.doi.org/10.1080/0020754031000088138.

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27

Meller, R. D. "The multi-bay manufacturing facility layout problem". International Journal of Production Research 35, n.º 5 (mayo de 1997): 1229–37. http://dx.doi.org/10.1080/002075497195290.

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Kulturel-Konak, Sadan. "The zone-based dynamic facility layout problem". INFOR: Information Systems and Operational Research 57, n.º 1 (11 de julio de 2017): 1–31. http://dx.doi.org/10.1080/03155986.2017.1346915.

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Shang, Jen S. "Multicriteria facility layout problem: An integrated approach". European Journal of Operational Research 66, n.º 3 (mayo de 1993): 291–304. http://dx.doi.org/10.1016/0377-2217(93)90218-c.

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30

Heragu, Sunderesh S. y Andrew Kusiak. "Efficient models for the facility layout problem". European Journal of Operational Research 53, n.º 1 (julio de 1991): 1–13. http://dx.doi.org/10.1016/0377-2217(91)90088-d.

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31

Kalita, Zahnupriya y Dilip Datta. "A constrained single-row facility layout problem". International Journal of Advanced Manufacturing Technology 98, n.º 5-8 (2 de julio de 2018): 2173–84. http://dx.doi.org/10.1007/s00170-018-2370-6.

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32

Kumar, Ravi y Surya Prakash Singh. "Cellular facility layout problem: a case of tower manufacturing industry". Management of Environmental Quality: An International Journal 30, n.º 6 (9 de septiembre de 2019): 1345–60. http://dx.doi.org/10.1108/meq-04-2018-0076.

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Purpose In today’s competitive market, product demand and its mix frequently vary due to various uncertainties, which thus imparts the overall manufacturing cost. Furthermore, uncertainties also impart the layout design in manufacturing industries in the long run. Therefore, the layout design needs to capture the possibility of uncertainties, and these uncertainties must be captured while designing the layout of a facility. Hence, an efficient facility layout design minimizes the manufacturing cost and lead time. The purpose of this paper is to propose a cellular layout design for a tower manufacturing industry. Design/methodology/approach The paper develops an embedded simulated annealing-based meta-heuristic to solve proposed cellular layout under different scenarios considering single and multi-time periods for tower manufacturing industry. A comparative study is also performed to analyze comparison among static cellular layout, a dynamic cellular layout or a robust stochastic cellular layout for the tower manufacturing industry. Findings The current layout of the industry is a process layout. Here, the layout for a tower manufacturing industry is proposed under SCFLP, DCFLP and RSCFLP. The proposed models and solution methodology is tested using six scenarios with different combination of time periods. Lastly, OFV value obtained for all the scenarios is compared, and it is found that RSCFLP outruns other SCFLP and DCFLP for a tower manufacturing industry. Based on the above study, it is also concluded that RSCFLP is an efficient and effective layout in tower manufacturing industry. Originality/value The paper proposes a cellular layout design for a tower manufacturing industry. The cellular layout design is found to be preferred over the traditional layout as it reduces material handling cost, manufacturing lead time and hazards. Moreover, it enhances productivity and quality.

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33

Cheng, Chun, Yossiri Adulyasak y Louis-Martin Rousseau. "Robust Facility Location Under Disruptions". INFORMS Journal on Optimization 3, n.º 3 (julio de 2021): 298–314. http://dx.doi.org/10.1287/ijoo.2021.0054.

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Facility networks can be disrupted by, for example, power outages, poor weather conditions, or natural disasters, and the probabilities of these events may be difficult to estimate. This could lead to costly recourse decisions because customers cannot be served by the planned facilities. In this paper, we study a fixed-charge location problem (FLP) that considers disruption risks. We adopt a two-stage robust optimization method, by which facility location decisions are made here and now and recourse decisions to reassign customers are made after the uncertainty information on the facility availability has been revealed. We implement a column-and-constraint generation (C&CG) algorithm to solve the robust models exactly. Instead of relying on dualization or reformulation techniques to deal with the subproblem, as is common in the literature, we use a linear programming–based enumeration method that allows us to take into account a discrete uncertainty set of facility failures. This also gives the flexibility to tackle cases when the dualization technique cannot be applied to the subproblem. We further develop an approximation scheme for instances of a realistic size. Numerical experiments show that the proposed C&CG algorithm outperforms existing methods for both the robust FLP and the robust p-median problem.

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34

Li, Lingling, Congbo Li, Huijie Ma y Ying Tang. "An Optimization Method for the Remanufacturing Dynamic Facility Layout Problem with Uncertainties". Discrete Dynamics in Nature and Society 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/685408.

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Remanufacturing is a practice of growing importance due to increasing environmental awareness and regulations. Facility layout design, as the cornerstone of effective facility planning, is concerned about resource localization for a well-coordinated workflow that leads to lower material handling costs and reduced lead times. However, due to stochastic returns of used products/components and their uncontrollable quality conditions, the remanufacturing process exhibits a high level of uncertainty challenging the facility layout design for remanufacturing. This paper undertakes this problem and presents an optimization method for remanufacturing dynamic facility layout with variable process capacities, unequal processing cells, and intercell material handling. A dynamic multirow layout model is presented for layout optimization and a modified simulated annealing heuristic is proposed toward the determination of optimal layout schemes. The approach is demonstrated through a machine tool remanufacturing system.

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35

Shoja Sangchooli, Ali y Mohammad Reza Akbari Jokar. "Obtaining an Initial Solution for Facility Layout Problem". Journal of Industrial Mathematics 2013 (24 de octubre de 2013): 1–10. http://dx.doi.org/10.1155/2013/130251.

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The facility layout approaches can generally be classified into two groups, constructive approaches and improvement approaches. All improvement procedures require an initial solution which has a significant impact on final solution. In this paper, we introduce a new technique for accruing an initial placement of facilities on extended plane. It is obtained by graph theoretic facility layout approaches and graph drawing algorithms. To evaluate the performance, this initial solution is applied to rectangular facility layout problem. The solution is improved using an analytical method. The approach is then tested on five instances from the literature. Test problems include three large size problems of 50, 100, and 125 facilities. The results demonstrate effectiveness of the technique especially for large size problems.

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Tan, Kah Song, Noor Ajian Mohd-Lair, Stephen Yong Nai-Vun y James Yong Chau-Leong. "Optimisation of Facility Layout Problem at Automotive Industry a Case Study in Sabah". Applied Mechanics and Materials 315 (abril de 2013): 755–61. http://dx.doi.org/10.4028/www.scientific.net/amm.315.755.

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The general Facility Layout Problem deals with the arrangement of machines within the facility based on the constraints such as material flow distance, volume of flow of products, material handling cost and operation sequence of product. The facility layout problem is directly linked with the efficiency of the facility or the manufacturing line. The objective of this project is to design a simulation based methodology experiment on designing an optimized facility layout and evaluating the proposed alternative layouts using ARENA simulation. This project is conducted at Benteng Motor Sdn. Bhd. in Kota Kinabalu, Sabah. Currently, the company is planning to expand their manufacturing plant and hence the company needs an optimized facility layout to maximize the product capacity and manufacturing throughput time on a minimum utilization of resources environment. An eight steps simulation methodology is being proposed to design an optimized facility layout. A manufacturing re-engineering scenario has been developed to improve the existing system. The proposed scenario was evaluated using Arena simulation student package. The scenario has significantly increases the production capacity up to 225%, decrease the manufacturing throughput time by 19% as well as increase the utilization of majority of the manufacturing resources more than 200%.

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37

Forghani, Kamran, Alireza Arshadi khamseh y Mohammad Mohammadi. "Integrated quadratic assignment and continuous facility layout problem". International Journal of Industrial Engineering Computations 3, n.º 5 (1 de octubre de 2012): 787–806. http://dx.doi.org/10.5267/j.ijiec.2012.07.001.

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38

Caccetta, Louis y Yaya S. Kusumah. "Computational aspects of the facility layout design problem". Nonlinear Analysis 47, n.º 8 (agosto de 2001): 5599–610. http://dx.doi.org/10.1016/s0362-546x(01)00662-9.

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39

TAM, KAR YAN y SHIH GONG LI. "A hierarchical approach to the facility layout problem". International Journal of Production Research 29, n.º 1 (enero de 1991): 165–84. http://dx.doi.org/10.1080/00207549108930055.

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40

Dunker, T., G. Radons y E. Westkämper. "A coevolutionary algorithm for a facility layout problem". International Journal of Production Research 41, n.º 15 (enero de 2003): 3479–500. http://dx.doi.org/10.1080/0020754031000118125.

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41

Conway, Daniel G. y M. A. Venkataramanan. "Genetic search and the dynamic facility layout problem". Computers & Operations Research 21, n.º 8 (octubre de 1994): 955–60. http://dx.doi.org/10.1016/0305-0548(94)90023-x.

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42

URBAN, TIMOTHY L. "A HEURISTIC FOR THE DYNAMIC FACILITY LAYOUT PROBLEM". IIE Transactions 25, n.º 4 (julio de 1993): 57–63. http://dx.doi.org/10.1080/07408179308964304.

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43

Balakrishnan, Jaydeep, F. Robert Jacobs y Munirpallam A. Venkataramanan. "Solutions for the constrained dynamic facility layout problem". European Journal of Operational Research 57, n.º 2 (marzo de 1992): 280–86. http://dx.doi.org/10.1016/0377-2217(92)90049-f.

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44

Neghabi, Hossein, Kourosh Eshghi y Mohammad Hassan Salmani. "A new model for robust facility layout problem". Information Sciences 278 (septiembre de 2014): 498–509. http://dx.doi.org/10.1016/j.ins.2014.03.067.

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45

Haddou Amar, Sara, Abdellah Abouabdellah y Yahia El Ouazzani. "Interactive facility layout problem: a bi-objective design". International Journal on Interactive Design and Manufacturing (IJIDeM) 12, n.º 1 (28 de febrero de 2017): 151–59. http://dx.doi.org/10.1007/s12008-017-0387-y.

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46

Hu, Yingpeng, Kaixi Zhang, Jing Yang y Yanghui Wu. "Application of Hierarchical Facility Location-Routing Problem with Optimization of an Underground Logistic System: A Case Study in China". Mathematical Problems in Engineering 2018 (26 de septiembre de 2018): 1–10. http://dx.doi.org/10.1155/2018/7235048.

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Facility location problem (FLP) and vehicle routing problem (VRP) are two of the most challenging issues in logistics. This paper presents an exploration of the multinode facility location-routing problem with realistic conditions. The disposal centers, transfer stations, connected collection sites, and unconnected collection sites are built into a new hierarchical model which is solved by Generate Algorithm (GA). Model costs include node construction cost, pipeline construction cost, transport cost, and transfer cost. This paper considers that the transportation is a bidirectional flow not a single flow; each pairs node in the area needs transportation; the dynamic routing selection method is used to determine the routes of unconnected collection sites. FLP and VRP can be both solved in this model. To illustrate the applicability of the model, a case study is presented and the results are discussed. The model in this paper can reduce the cost of the traditional underground logistics system by 6%~8% in experiments.

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47

Akça, Murat y Ramazan Şahin. "Multi objective mixed integer facility layout problem and application at military facility". Pamukkale University Journal of Engineering Sciences 24, n.º 1 (2018): 117–23. http://dx.doi.org/10.5505/pajes.2017.26928.

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48

Kusumah, Yaya S. "METODE KONSTRUKSI UNTUK MENYELESAIKAN MASALAH TATA LETAK FASILITAS". Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam 2, n.º 1 (13 de enero de 2015): 8. http://dx.doi.org/10.18269/jpmipa.v2i2.385.

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The facility layout design problem is concerned with determining the location of a number of facilities which optimises a prescribed objective such as profit, cost, or distance. This problem arises in many applications; for example, in design of buildings and in plant layout design. Most approaches for solving this problem are heuristic in nature and based on graph theoretic concepts. Graph theoretically, when the objective is to maximize profit, the facility layout design problem is to determine, in a given edge weighted graph G, a maximum weight planar sub graph. In this paper, a new heuristic based on graph theoretic concepts is presented. A comparative analysis based on 3600 random test problems demonstrates the value of this algorithm. Key words: Heuristic, maximum planar graph, computer, facility layout design.

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49

Turgay, Safiye. "Multi Objective Simulated Annealing Approach for Facility Layout Design". International Journal of Mathematical, Engineering and Management Sciences 3, n.º 4 (1 de diciembre de 2018): 365–80. http://dx.doi.org/10.33889/ijmems.2018.3.4-026.

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Facility layout design problem considers the departments’ physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.

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50

Shavarani, Seyed Mahdi. "Multi-level facility location-allocation problem for post-disaster humanitarian relief distribution". Journal of Humanitarian Logistics and Supply Chain Management 9, n.º 1 (30 de abril de 2019): 70–81. http://dx.doi.org/10.1108/jhlscm-05-2018-0036.

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Purpose Previously use of drones as a relief distribution vehicle was studied in several studies where required number of drones and the best locations for the relief centers were investigated. The maximum travel distance of drones without a need to recharge is limited by their endurance. Recharge stations can be used to extend the coverage area of the drones. The purpose of this paper is to find the best topology for both relief centers and recharge stations to cover a large-scale area with minimum and feasible incurred costs and waiting times. Design/methodology/approach A multi-level facility location problem (FLP) is utilized to find the optimum number of relief centers and refuel stations and their locations. It is supposed that the demand occurs according to Poisson distribution. The allocation of the demand is based on nearest neighborhood method. A hybrid genetic algorithm is proposed to solve the model. The performance of the algorithm is examined through a case study. Findings The proposed method delivers increased efficiency and responsiveness of the humanitarian relief system. The coverage area of the drones is extended by refuel stations, total costs of the system are reduced and the time to respond an emergency, which is an important factor in survival rate, is significantly decreased. Originality/value This study proposes a multi-level FLP to simultaneously account for recharge stations, relief centers and the number of required drones to cover all the demand for relief in a post-disaster period.

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