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Journal articles on the topic 'Facility Layout'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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1

MELLER, R. D., and K. Y. GAU. "Facility layout objective functions and robust layouts." International Journal of Production Research 34, no. 10 (October 1996): 2727–42. http://dx.doi.org/10.1080/00207549608905055.

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2

Hosseini, Seyedeh Sabereh, Kuan Yew Wong, Seyed Ali Mirzapour, and Reza Ahmadi. "Multi-Floor Facility Layout Improvement Using Systematic Layout Planning." Advanced Materials Research 845 (December 2013): 532–37. http://dx.doi.org/10.4028/www.scientific.net/amr.845.532.

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This study aims at improving the multi-floor layout of a card and packet production company based on the Systematic Layout Planning (SLP) method. A detailed study of the facility layout such as its operational processes, flow of materials and activity relationships has been done. Long distance, cross-traffic, and cost have been identified as the major problems of the current multi-floor layout. Three alternative layouts were suggested by SLP and the best alternative was selected and compared with the current layout. The results revealed that the new alternative layout could considerably improve the companys layout problems.

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3

Allenbach, Randy, and Mary Werner. "Facility Layout Program." Computers & Industrial Engineering 19, no. 1-4 (January 1990): 290–93. http://dx.doi.org/10.1016/0360-8352(90)90124-5.

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4

Rifai, Achmad Pratama, Arief Rahman Alfithra, Chanif Faruq Al'adiat, and Wangi Pandan Sari. "Facility Layout Planning for Pyrolyzer Production Using Automated Layouts Design Program (ALDEP) Method." OPSI 16, no. 1 (June 19, 2023): 165. http://dx.doi.org/10.31315/opsi.v16i1.8745.

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One important factor to consider in increasing productivity in a company is the design of the facility layout. PT Hari Mukti Teknik is keen producing pyrolysis machine to contribute to addressing waste issue in Indonesia. Currently, the facility layout at the company is not suitable to produce pyrolizers as it was set up to produce industrial scale washing machines. To improve production efficiency, PT Hari Mukti Teknik needs facility layout that can be optimized for pyrolizers. The purpose of this study is to provide a layout design proposal for the pyrolysis machine manufacturing process to obtain an effective and efficient process. Here, we used ALDEP method to produce layouts based on consideration of the level of relationship between departments. There were 4 alternatives for the manufacturing and production and two alternative layouts for employee and office area. The design for new layout was selected based on the closeness relationship between the departments. An overall facility layout plan that is required for the production of pyrolysis machines is a building area the total of 1045 m² covering manufacturing, production, employee, office and parking space areas.

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CHEN, GARY YU-HSIN, and JU-CHIEH LO. "DYNAMIC FACILITY LAYOUT WITH MULTI-OBJECTIVES." Asia-Pacific Journal of Operational Research 31, no. 04 (August 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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Tan, Kah Song, Noor Ajian Mohd-Lair, Stephen Yong Nai-Vun, and James Yong Chau-Leong. "Optimisation of Facility Layout Problem at Automotive Industry a Case Study in Sabah." Applied Mechanics and Materials 315 (April 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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7

Kubalík, Jiří, Lukáš Kurilla, and Petr Kadera. "Facility Layout Problem with Alternative Facility Variants." Applied Sciences 13, no. 8 (April 17, 2023): 5032. http://dx.doi.org/10.3390/app13085032.

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The facility layout problem is one of the fundamental production system management problems. It has a significant impact on overall system efficiency. This paper introduces a new facility layout problem that allows for choosing from multiple variants of each facility. The need for choosing the most suitable selection from the facility variants while at the same time optimizing other layout quality indicators represents a new optimization challenge. We build on our previous work where single- and multi-objective evolutionary algorithms using indirect representation were proposed to solve the facility layout problem. Here, the evolutionary algorithms are adapted for the problem of facility variants, including the new solution representation and variation operators. Additionally, a cooling schedule, whose role is to control the exploration/exploitation ratio during the course of the optimization process, is proposed. It was inspired by the cooling schedule used in the simulated annealing technique. The extended evolutionary algorithms have been experimentally evaluated on two data sets, with and without the alternative variants of facilities. The obtained results demonstrate the capability of the extended evolutionary algorithms to solve the newly formulated facility layout problem efficiently. It also shows that the cooling schedule improves the convergence of the algorithms.

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8

Yang, Cheng, Songkai Liu, and Zhigang Xu. "A simulation-based optimization method for facility layout considering the AGV path." Journal of Physics: Conference Series 2430, no. 1 (February 1, 2023): 012019. http://dx.doi.org/10.1088/1742-6596/2430/1/012019.

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Abstract Aiming at the problem of facility layout in intelligent workshops, a collaborative optimization method of facility layout and AGV path planning based on discrete event simulation (DES) is proposed. This method can increase the production capacity of the workshop by solving the workshop open-field layout problem (OFLP). First, to simplify the complex constraints of OFLP, a mathematical programming model is established. Second, a hybrid algorithm is proposed to solve the optimal facility layout and the corresponding multiple AGV paths. Then, the DES is used to calculate the logistics data of the facility layout, and the capacity is taken as the algorithm objective function. Finally, a practical intelligent workshop layout problem is taken as a research case. The calculation results show that the capacity of the workshop is increased by 54% under the optimized layout. Through the special nonlinear integer programming mathematical model and discrete simulation modelling, the optimization method can take into account the complex dynamic logistics process and multiple AGV conflicts and give full play to the flexible and efficient characteristics of open-field layouts. The final workshop layout can not only be close to the actual situation but also have excellent performance.

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Peron, Mirco, Giuseppe Fragapane, Fabio Sgarbossa, and Michael Kay. "Digital Facility Layout Planning." Sustainability 12, no. 8 (April 20, 2020): 3349. http://dx.doi.org/10.3390/su12083349.

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In recent years, companies have increased their focus on sustainability to achieve environmental-friendly improvements, to manage pressures from society and regulations, and to attract customers that appreciate sustainability efforts. While companies have mainly aimed short-term/operational improvements, long-term improvements are difficult to reach. One of the fundamental, strategical decision-making processes for a company is facility layout planning. The layout of a facility can have a significant impact on daily operations. Aiming for the goal of sustainability, a dynamic layout decision-making process can support in achieving it. However, the technologies used currently enable only the design of a static layout due to the time-consuming operations involved. In this paper, the introduction of emerging technologies such as 3D mapping, Indoor Positioning System (IPS), Motion Capture System (MoCap), and Immersive Reality (IR) for dynamic layout planning are assessed and discussed. The results obtained clearly demonstrate that the usage of these technologies favor a reconfigurable layout, positively affecting all the three pillars constituting the sustainability concept: the costs involved are reduced, social aspects are improved, and the environment is safeguarded.

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10

Dbouk, Haytham M., Kassem Ghorayeb, Hussein Kassem, Hussein Hayek, Richard Torrens, and Owen Wells. "Facility placement layout optimization." Journal of Petroleum Science and Engineering 207 (December 2021): 109079. http://dx.doi.org/10.1016/j.petrol.2021.109079.

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11

Waghodekar, P. H., and S. Sahu. "Measuring Facility Layout Complexity." International Journal of Operations & Production Management 7, no. 1 (January 1987): 74–85. http://dx.doi.org/10.1108/eb054787.

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12

Meller, Russell D., Venkat Narayanan, and Pamela H. Vance. "Optimal facility layout design." Operations Research Letters 23, no. 3-5 (October 1998): 117–27. http://dx.doi.org/10.1016/s0167-6377(98)00024-8.

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13

Ziai, M. Reza, and Dileep R. Sule. "Computerized facility layout design." Computers & Industrial Engineering 21, no. 1-4 (January 1991): 385–89. http://dx.doi.org/10.1016/0360-8352(91)90122-m.

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14

Kusiak, Andrew, and Sunderesh S. Heragu. "The facility layout problem." European Journal of Operational Research 29, no. 3 (June 1987): 229–51. http://dx.doi.org/10.1016/0377-2217(87)90238-4.

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15

Tarigan, U., A. Ishak, L. S. Simanjuntak, I. Rizkya, K. S. Putri, and U. P. P. Tarigan. "Facility Layout Redesign with Static Facility Layout Planning (SFLP) and Dynamic Facility Layout Planning (DFLP) at Convection and Computer Embroidery Industry." IOP Conference Series: Materials Science and Engineering 1003 (December 29, 2020): 012033. http://dx.doi.org/10.1088/1757-899x/1003/1/012033.

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16

Varinder Khurana, Rohit Monga,. "Facility Layout Planning: A Review." International Journal of Innovative Research in Science, Engineering and Technology 04, no. 03 (March 15, 2015): 976–80. http://dx.doi.org/10.15680/ijirset.2015.0403027.

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17

Zhao, Yifei, and Stein W. Wallace. "Appraising redundancy in facility layout." International Journal of Production Research 54, no. 3 (April 7, 2015): 665–79. http://dx.doi.org/10.1080/00207543.2015.1030041.

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18

Gau, K. Y., and R. D. Meller. "An iterative facility layout algorithm." International Journal of Production Research 37, no. 16 (November 1999): 3739–58. http://dx.doi.org/10.1080/002075499190022.

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19

Chiang, Wen-Chyuan. "Visual facility layout design system." International Journal of Production Research 39, no. 9 (January 2001): 1811–36. http://dx.doi.org/10.1080/00207540110035192.

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20

Montreuil, Benoit, H. Donald Ratliff, and Marc Goetschalckx. "Matching Based Interactive Facility Layout." IIE Transactions 19, no. 3 (September 1987): 271–79. http://dx.doi.org/10.1080/07408178708975396.

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21

Abbott, Anthony A. "Facility Layout and Maintenance Concerns." ACSMʼs Health & Fitness Journal 22, no. 1 (2018): 37–41. http://dx.doi.org/10.1249/fit.0000000000000356.

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22

Liotta, Giuseppe. "An automatic layout facility (abstract)." ACM SIGACT News 24, no. 1 (January 15, 1993): 60. http://dx.doi.org/10.1145/152992.153007.

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23

Moon, Geeju, and Keith L. McRoberts. "Combinatorial optimization in facility layout." Computers & Industrial Engineering 17, no. 1-4 (January 1989): 43–48. http://dx.doi.org/10.1016/0360-8352(89)90034-x.

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24

Savsar, Mehmet. "Flexible facility layout by simulation." Computers & Industrial Engineering 20, no. 1 (January 1991): 155–65. http://dx.doi.org/10.1016/0360-8352(91)90051-7.

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25

Drira, Amine, Henri Pierreval, and Sonia Hajri-Gabouj. "Facility layout problems: A survey." Annual Reviews in Control 31, no. 2 (January 2007): 255–67. http://dx.doi.org/10.1016/j.arcontrol.2007.04.001.

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26

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, 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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27

Hidayat, Rachmad, Shofi fitrotis Salimah, Moh Jufriyanto, and M. Firman Khaqiqi. "Evaluation of The Facility layout on The Fried Onion Production Process." E3S Web of Conferences 328 (2021): 05008. http://dx.doi.org/10.1051/e3sconf/202132805008.

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Analysis of the design of the facility layout can improve the performance of production lines such as decreasing congestion levels, minimizing material handling costs. PT. XYZ is one of the fried onion companies has constraints on the material handling system that is less efficient because it takes a long time in the process. Therefore, there will be improvements to the layout of PT. XYZ to increase productivity and shorten the time of the production cycle. The method used is From to Chart the method is a conventional technique commonly used for planning factory layouts and moving goods in a production process. From the results obtained that the proposed layout is better than the initial layout with a higher flow efficiency value of 86.18%. The proposed layout utilizes vacant land, so that the production flow does not repeat and does not rotate far, so that the distance between the areas is getting closer.

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28

Hungerländer, Philipp. "Single-row equidistant facility layout as a special case of single-row facility layout." International Journal of Production Research 52, no. 5 (August 15, 2013): 1257–68. http://dx.doi.org/10.1080/00207543.2013.828163.

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Qu, Ping Bo. "Research on Optimization Technology of Facility Layout Based on Improved Differential Evolution Method." Advanced Materials Research 912-914 (April 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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Zha, Shanshan, Yu Guo, Shaohua Huang, and Shengbo Wang. "A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study." Mathematical Problems in Engineering 2020 (February 7, 2020): 1–16. http://dx.doi.org/10.1155/2020/1320173.

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Facility layout in the manufacturing system is an elaborate production activity since multiple, uncertain, and conflicting factors would affect facility layout decisions. Selecting the best facility layout among alternatives is considered as a problematic multicriteria decision-making (MCDM) problem. Generally, the facility layout is evaluated by the MCDM method with redundant factors, separate weights, and independent relationships between factors. To overcome this defect, this paper intends to propose a hybrid fuzzy MCDM method with combination weight (CW) based on integration with Delphi, fuzzy ANP, Entropy, and fuzzy PROMETHEE (CW-DFAE-FP) to select the most suitable facility layout alternative in an aircraft assembly workshop. The application results indicate that this method can effectively obtain the most suitable alternative for facility layout selection. Furthermore, the comparative analysis with other MCDM methods verifies the effectiveness of the proposed method and reveals the selection of weight has an impact on final priority ranking. Finally, sensitivity analysis highlights the performance of the proposed method and provides strategic insights to identify the critical criteria for the best alternative in facility layout.

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Utari, Panca Wahyu, Yetti Meuthia Hasibuan, and Rini Halila Nasution. "PERANCANGAN ULANG TATA LETAK FASILITAS DENGAN MENGGUNAKAN METODE KONVENSIONAL BERBASIS 5S." JiTEKH 8, no. 2 (September 30, 2020): 85–91. http://dx.doi.org/10.35447/jitekh.v8i2.350.

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The facility layout design greatly affects the performance of a company. Poor facility layout will lead to poor material flow patterns and relatively high movement of materials, products, information, equipment and labor which causes delays in product completion and increases production costs. Facility layout design aims to analyze improvements in production activities. In preparing the layout of the facility, this research applies the 5S method to see what needs to be improved and to redesign the factory layout. The object of this research was conducted at PT. XYZ. The results showed that the redesign of the facility layout of the light bulb processing factory of PT.XYZ consists of several parts that must be improved in order to obtain the best final layout. The redesign of this facility layout does not have to require additional areas, this can be done by rearranging it. Based on the trial questionnaire before applyingthe 5S method,it was found that seiri,seiso,seiton,seiketsu,shitsuke needed improvement, while after redesigning using 5S method, it was found that only seiketsu and shitsuke needed improvement.

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Adeyeri, Michael Kanisuru, and Sesan Peter Ayodeji. "Comparative analysis of static and dynamic facility layouts design using the modeling of plantain flour as case study." Production Engineering Archives 28, no. 1 (February 12, 2022): 12–20. http://dx.doi.org/10.30657/pea.2022.28.02.

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Abstract Profit optimization at the expense of minimal resource utilization for product development has been the major focus of prospective investors. In an attempt to realize this goal, the present research consideration is tailored towards investigating the effect of introducing dynamic facility layout design. Therefore, this research study uses an existing designed plantain flour processing plant that consists of a washing machine, grating machine, dryer, milling machine and sieving machine. Modeling techniques incorporated with software development were employed on the existing static plant layout to optimize production time and cost of each of the processing units along with the layout. Also, dynamic constraints were introduced into the layouts while mathematical models were formulated to visualize how the output and production process would be. With these models, software for the optimization of static and dynamic layouts was developed. The comparative study was carried out based on the processing time, the number of machines needed for each layout type, the cost of operation and machine procurement cost for both static and dynamic layouts. The constraints introduced ensured that the system improved within the cost limit based on the current market situation and prevented unnecessary enlargement in the plant facility size while minimizing material congestion in the system. The distinction between static and dynamic layout configurations was further established by comparing the results from the layout configurations for a set of throughput masses ranging from 50 kg to 250 kg. Results showed that the cost of operation drops drastically by 69.6 % under dynamic layout configuration.

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Sun, Tie Huan. "Study on Public Sports Facility Layout Planning." Applied Mechanics and Materials 440 (October 2013): 397–401. http://dx.doi.org/10.4028/www.scientific.net/amm.440.397.

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Public sports facilities are to ensure the quality of urban residents life, and are the carrier of the national fitness plan, and is the basis to improve the physical quality. Reasonable public sports facilities planning layout, can promote the improvement of the urban space layout structure, and realize the self-optimization and benign development of urban system. In this paper, the urban public sports facilities layout plans as the research key, analysis of various urban public sports facilities layout planning factors. Combined with planning, construction experience, discusses sports facilities layout planning models and planning layout methods.

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Wisnu Alfian Majid and Andung Jati Nugroho. "ANALISIS TATA LETAK ALAT PRODUKSI BUKU TAHUNAN MENGGUNAKAN SYSTEMATIC LAYOUT PLANNING (SLP) DAN BLOCPLAN (STUDI KASUS: CV RENJANA OFFSET)." JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI 1, no. 3 (July 30, 2023): 32–39. http://dx.doi.org/10.59024/jisi.v1i3.319.

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A good facility layout will affect the smooth production process. Preliminary observations on CV Renjana Offset are still not good enough to apply because they do not take into account the degree of closeness. This can be seen from the location of the machine and work stations that look far apart and the existence of intersecting material flows resulting in backtracking, such as the printing work station to the coating work station, the material transfer distance is 12.4 m and has to pass through the garden and back of the CV Renjana Offset office with distances that are too long cause the production time to be longer. The method used to design the layout of production facilities at CV Renjana Offset is the Systematic Layout Planning and Blocplan methods. This method was chosen because it is in accordance with the characteristics of the company and can minimize the distance between production stations and no longer intersecting production process flows. This research was conducted with the aim of knowing and getting an increase in the efficiency of the initial material handling layout with layout suggestions. The results of the calculation of the total area needed for assistance are 171.5 m². The results of SLP and Blocplan processing are 10 alternative layouts and the Adjacency score, R Score, and Rel-dist score feature values are presented for each layout alternative. Of the 5 alternative layouts produced, there is a layout for the production of yearbook products which is chosen as the best layout because it has an Adjacency Score of 1.00, layout 2 has an R Score of 0.87, and the Rel-dist Score of the second layout has a value of 202. Based on three parameters, The selected layout is layout 2. Calculation of distances using the rectilinear method at each facility for the yearbook product layout is 28.29 m.

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Huo, Jiazhen, Jing Liu, and Hong Gao. "An NSGA-II Algorithm with Adaptive Local Search for a New Double-Row Model Solution to a Multi-Floor Hospital Facility Layout Problem." Applied Sciences 11, no. 4 (February 16, 2021): 1758. http://dx.doi.org/10.3390/app11041758.

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A well-designed hospital facility layout planning process will enable improvements in operational efficiency, health outcomes, and patients’ medical experience. Older hospital facility layouts are likely to be based only on their designer’s experience, extant legal regulations, and other historical constraints. In this paper, we propose a solution to a multi-floor hospital facility layout problem in a hospital in Shanghai, China, based on a double-row model in which all departments are arranged into two rows on each floor. In this model, some fixed facilities are also taken into consideration. Two objectives, namely minimizing the total movement distance of patients and maximizing the total closeness rating score, are considered. An NSGA-II (nondominated sorting genetic algorithm II) algorithm with an adaptive local search operator has been developed to search for Pareto-optimal solutions. Experimental results show that our algorithm is able to solve model requirements successfully, the local search operator performs well, and the obtained results outperform the present layout in both the objectives.

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Kumar, Vijay, and V. Naga Malleswari. "Improvement of facility layout design using Systematic Layout planning methodology." Journal of Physics: Conference Series 2312, no. 1 (August 1, 2022): 012089. http://dx.doi.org/10.1088/1742-6596/2312/1/012089.

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Abstract A plant layout design is one of the essential tasks for improving industry performance and the wellbeing of the production process. Kharagpur railway station is one of the biggest railway stations in INDIA, and the motorcoach shop is one of the workshops for the maintenance and repairing of the coaches. This workshop consists of the various department for serving the purpose of repairing works. Around ninety employees work for maintenance which comes for repair and maintenance work. It observed that the working area spread through the space and did not utilize it to the maximum extent, and material flows are not systematic. This study aims to redesign the facility layout of the motorcoach shop using Systematic Layout Planning (SLP) to maximize the utilization area and reduce idle space. Two design alternatives were proposed and compared the performance of each design with the initial layout. Based on the calculation of total area facility layout chosen since proposed layout able to improve the utilization by 30% and material flow rate by 20%.

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37

Irani, S. A., and H. Huang. "Custom design of facility layouts for multiproduct facilities using layout modules." IEEE Transactions on Robotics and Automation 16, no. 3 (June 2000): 259–67. http://dx.doi.org/10.1109/70.850644.

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38

Suo, Xiao Hong, and Xian Chi. "Single-Row Facility Layout Based on Manufacturing Costs." Applied Mechanics and Materials 300-301 (February 2013): 140–45. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.140.

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Single-row facility layout is widely used in manufacturing system. It has a very important effect on the performance of manufacturing system. The single-row facility layout, including linear, U-shape, and semi-circular layout are introduced firstly. Based on the lower selling price of customers’ demand, the components of manufacturing cost are analyzed secondly. Then the relationship between the manufacturing cost and objectives of single-row layout are described. Meanwhile, the mathematical and simulation models related to several parts of manufacturing cost of single-row layout are set up respectively. Finally, the simulation of these models for single-row layout is running in QUEST. After analyzing the simulation results, conclusions are obtained: (1) material handling cost of semi-circular layout is the lowest among the three types of single-row facility layout; (2) area utilization rate of U-shape layout is higher than others; (3) equipment and labor utilization of U-shape layout is the higher than others in the same moment. This research results will

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Zhang, Zhongwei, Lihui Wu, Zhaoyun Wu, Wenqiang Zhang, Shun Jia, and Tao Peng. "Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization." Sustainability 14, no. 5 (February 27, 2022): 2788. http://dx.doi.org/10.3390/su14052788.

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Low-carbon sustainable development has become the consensus of manufacturing enterprises to fulfill their social responsibilities. Facility layout is an essential part of manufacturing system planning. Current research has demonstrated the advantages of energy saving on the manufacturing system level where operational methods (e.g., energy-efficient production scheduling and path planning) can be utilized and do not require massive investment in the existing legacy system. However, these efforts are mostly based on the existing fixed facility layout. Meanwhile, although facility layout problems have been extensively studied so far, the related work seldom involves the optimization of energy consumption (EC) or other EC-related environmental impact indicators, and does not clearly reveal if EC can be an independent optimization objective in facility layout. Accordingly, whether the energy-saving potential of a manufacturing system can be further tapped through rational facility layout is the gap of the current study. To address this, an investigation into energy-saving oriented manufacturing workshop facility layout is conducted. Correspondingly, an energy-efficient facility layout (EFL) model for the multi-objective optimization problem that minimizes total load transport distance and EC is formulated, and a multi-objective particle swarm optimization-based method is proposed as the solution. Furthermore, experimental studies verify the effectiveness of the presented model and its solution, indicating that EC can be regarded as an independent optimization objective during facility layout, and EFL is a feasible energy-saving approach for a manufacturing system.

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Li, Dian Can. "Optimization Models of Mechanical Facility Layout Based on Genetic Algorithm." Advanced Materials Research 548 (July 2012): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amr.548.677.

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With the changes in the way of the manufacturing, more and more enterprises managers and engineers and technicians begin to attach importance to the facility layout issues. The facility layout includes new production system design and the existing production system optimization. Therefore, there are broad application prospects in studying on the issues of facility design and optimization of manufacturing industry. This essay, based on the survey and analysis and summary of layout issues of facilities of manufacturing industry, and based on systematical layout design methods, conducts designs of facilities in manufacturing industry and studies the applications of the genetic algorithm in the facility layout and optimization in manufacturing industry.

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Tang, Hongtao, Senli Ren, Weiguang Jiang, Jiajiong Liang, and Qingfeng Chen. "Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility." Computational Intelligence and Neuroscience 2021 (October 25, 2021): 1–23. http://dx.doi.org/10.1155/2021/3972772.

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Facility layout is not only the premise of production, but also a breakthrough for manufacturing industry to realize energy saving, environmental protection, and low entropy development. On the one hand, considering the interaction between product process routes and facility layout, a joint optimization model is proposed. The model aims to minimize the total logistics cost and consider the global optimization of facility layout and process route planning. On the other hand, considering the application of low entropy concept in facility layout, the analytic network process (ANP) is used to evaluate the low entropy layout. In the choice of the final facility layout, the algorithm results and expert knowledge are considered comprehensively to make up for the shortcomings of the model in the design of qualitative indicators. The algorithm innovation of this paper is to use genetic algorithm (GA) and particle swarm optimization (PSO) to search the solution of product process routes and facility layout simultaneously, to ensure the overall optimal solution of the two decision variables. Finally, an example is given to compare the joint optimization results with the independent optimization results, and the effectiveness of the joint optimization method is verified.

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Hale, Trevor S., Faizul Huq, and Ian Hipkin. "An improved facility layout construction method." International Journal of Production Research 50, no. 15 (August 2012): 4271–78. http://dx.doi.org/10.1080/00207543.2011.611541.

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Drira, Amine, Henri Pierreval, and Sonia Hajri-Gabouj. "FACILITY LAYOUT PROBLEMS: A LITERATURE ANALYSIS." IFAC Proceedings Volumes 39, no. 3 (2006): 389–400. http://dx.doi.org/10.3182/20060517-3-fr-2903.00208.

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SURESH, G., V. V. VINOD, and S. SAHU. "A genetic algorithm for facility layout." International Journal of Production Research 33, no. 12 (December 1995): 3411–23. http://dx.doi.org/10.1080/00207549508904881.

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Canen, Alberto G., and Geoff H. Williamson. "Facility layout overview: towards competitive advantage." Facilities 14, no. 10/11 (October 1996): 5–10. http://dx.doi.org/10.1108/02632779610129104.

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Suresh, G., and S. Sahu. "Multiobjective facility layout using simulated annealing." International Journal of Production Economics 32, no. 2 (September 1993): 239–54. http://dx.doi.org/10.1016/0925-5273(93)90071-r.

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Bharitkar, Sunil, Kazuhiro Tsuchiya, and Yoshiyasu Takefuji. "Comment on “The facility layout problem”." European Journal of Operational Research 75, no. 1 (May 1994): 233–34. http://dx.doi.org/10.1016/0377-2217(94)90196-1.

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Kim, Chae-Bogk, Bobbie L. Foote, and P. Simin Pulat. "Cut-tree construction for facility layout." Computers & Industrial Engineering 28, no. 4 (October 1995): 721–30. http://dx.doi.org/10.1016/0360-8352(95)00022-s.

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Grossel, Stanley S. "Guidelines for facility siting and layout." Journal of Loss Prevention in the Process Industries 17, no. 5 (September 2004): 385–86. http://dx.doi.org/10.1016/j.jlp.2004.05.001.

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Bai, Xiao Gang, and Xin Zhang. "A Study on the Flexibility of Apparel Manufacturing System." Advanced Materials Research 175-176 (January 2011): 1011–15. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.1011.

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In the current and future apparel market, customer demands various products. The apparel plants have to face the ever-changing demands from product mixture and volume. Satisfying customer demands is an important strategic requirement. Failing to do so can result not only in lost profits caused by reduced sales, but also placing the manufacturers in danger of losing future market. So the plant must manufacture correctly and send the products to clients timely. Therefore, the time taken to manufacture high quality products is very important. Layout design is the method utilized on assigning the machine to a certain space. Facility layout includes product layout, process layout and cellular layout etc. The right facility layout can provide manufacturing flexibility and reduce manufacturing cost. In the general facility layout problem, the material flow and department relationship is a major optimization goal. This paper will discuss the manufacturing flexibility from facility layout and propose time as an additional requirement to the material flow and department relationship. This paper will also provide a layout model for flexible manufacturing in view of apparel manufacturing characteristics.

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