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Journal articles on the topic 'Plant layout'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Singh Jasrotia, Manojdeep, and Krishnamoorthy Sengottaiyan. "SLP (Systematic Layout Planning) for Enhanced Plant Layout Efficiency." International Journal of Science and Research (IJSR) 13, no. 6 (June 5, 2024): 820–27. http://dx.doi.org/10.21275/sr24610212609.

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2

Ghifary, Rifky, Galih Wulandari Subagyo, and Rizka Arbaningrum. "Optimasi Site Layout Batching Plant (Studi Kasus Batching Plant PT. Adhimix Precast Daerah Serpong)." Jurnal Proyek Teknik Sipil 4, no. 2 (November 24, 2021): 57–63. http://dx.doi.org/10.14710/potensi.2021.11851.

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Site layout optimization aims to get the most optimal form of site layout. In this study, the site layout will be optimized using the multi objective function method by minimizing the Traveling Distance (TD) and Safety Index (SI) values. The calculation of the optimum site layout is done by making several alternative transfers of facilities. Based on the calculation results, the minimum TD result is alternative 0 of 4014,261 meters, and the minimum SI result is alternative 4 of 287,034. Alternative 0 cannot be compared because alternative 0 is the basic layout. Then in Alternative 4, there is an increase in TD of 80.98% and a decrease in SI of 12.66% from alternative 0. Therefore, to determine the most optimal site layout, the method is to use the calculation of the percentage value of traveling distance and safety index. Based on the results of interviews with PT. Adhimix Precast Indonesia Serpong area, the percentage rate given for traveling distance is 40% and the safety index is 60%. Based on the calculation of the percentage of TD and SI from all alternative layouts, it was found that the basic layout is the most optimal layout with the minimum value of 1802,897.

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3

Tripp, Charles, Darice Guittet, Jennifer King, and Aaron Barker. "A simplified, efficient approach to hybrid wind and solar plant site optimization." Wind Energy Science 7, no. 2 (March 25, 2022): 697–713. http://dx.doi.org/10.5194/wes-7-697-2022.

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Abstract. Wind plant layout optimization is a difficult, complex problem with a large number of variables and many local minima. Layout optimization only becomes more difficult with the addition of solar generation. In this paper, we propose a parameterized approach to wind and solar hybrid power plant layout optimization that greatly reduces problem dimensionality while guaranteeing that the generated layouts have a desirable regular structure. Thus far, hybrid power plant optimization research has focused on system sizing. We go beyond sizing and present a practical approach to optimizing the physical layout of a wind–solar hybrid power plant. We argue that the evolution strategy class of derivative-free optimization methods is well-suited to the parameterized hybrid layout problem, and we demonstrate how hard layout constraints (e.g., placement restrictions) can be transformed into soft constraints that are amenable to optimization using evolution strategies. Next, we present experimental results on four test sites, demonstrating the viability, reliability, and effectiveness of the parameterized evolution strategy approach for generating optimized hybrid plant layouts. Completing the tool kit for parameterized layout generation, we include a brief tutorial describing how the parameterized evolutionary approach can be inspected, understood, and debugged when applied to hybrid plant layouts.

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4

Goebel, Andreas. "EPR : Plant Layout." Revue Générale Nucléaire, no. 6 (December 2004): 47–54. http://dx.doi.org/10.1051/rgn/20046047.

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5

Mecklenburgh, J. C., and J. C. Mecklenburgh. "Process Plant Layout." Journal of Pressure Vessel Technology 108, no. 2 (May 1, 1986): 245–46. http://dx.doi.org/10.1115/1.3264778.

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6

Schmidt-Traub, H., M. Köster, T. Holtkötter, and N. Nipper. "Conceptual plant layout." Computers & Chemical Engineering 22 (March 1998): S499—S504. http://dx.doi.org/10.1016/s0098-1354(98)00093-3.

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7

Arunyanart, Sirawadee, and Surangkana Pruekthaisong. "Selection of multi-criteria plant layout design by combining AHP and DEA methodologies." MATEC Web of Conferences 192 (2018): 01033. http://dx.doi.org/10.1051/matecconf/201819201033.

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This paper deals with the problem of finding the optimal plant layout design. Decision-making methodologies based on analytic hierarchy process (AHP) and data envelopment analysis (DEA) approach are applied in the selection of the best plant layout. New layouts are developed, in an efficient manner, based on the systematic layout planning (SLP). By using the multiple criteria, AHP is applied to weigh the qualitative performance measures. DEA is then used to determine the suitable layout design by measuring layouts’ efficiency, using the information of AHP and combining with the quantitative data. The utilization of the proposed procedure is applied to a real data set of a machining precision parts manufacturing company.

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8

Watanapa, Anucha, and Wisitsree Wiyaratn. "Systematic Layout Planning to Assist Plant Layout: Case Study Pulley Factory." Applied Mechanics and Materials 110-116 (October 2011): 3952–56. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.3952.

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In this study, the application of a systematic plant layout planning (SLP) to assist the optimum design of process areas and locations is proposed. The number of machines and space requirement in pulley factory is determined. The operation process chart, flow of material and activity relationship chart have been investigated. The relationships between machines, operation sections and material flow are used to determine the suitable position of each activity. The SLP method has been employed to design the two alternative plant layouts and compare the performances between new layout and present layout in term of material flow. The new plant layout is modified by moving a disassembly and surface finish that significantly decrease the distance of material flow, so it is effective increasing production.

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9

Gulandaz, Md Ashrafuzzaman, Md Sazzadul Kabir, Md Shaha Nur Kabir, Mohammod Ali, Md Nasim Reza, Md Asrakul Haque, Geun-Hyeok Jang, and Sun-Ok Chung. "Layout of Suspension-Type Small-Sized Dehumidifiers Affects Humidity Variability and Energy Consumption in Greenhouses." Horticulturae 10, no. 1 (January 8, 2024): 63. http://dx.doi.org/10.3390/horticulturae10010063.

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In greenhouse management, maintaining optimal humidity is essential for promoting plant growth, including photosynthesis, and preventing diseases and pests. Addressing spatial variability requires sensor-based monitoring for informed decisions on humidification systems, particularly for small, and suspension-type dehumidifiers. This study aims to assess the impact of various layouts of small-sized suspension-type dehumidifiers on vertical, spatial, and temporal humidity variability, along with energy consumption in a greenhouse. During experiments in a 648 m³ (18 m × 6 m × 6 m) plastic greenhouse, dehumidifiers were placed at four different layouts: one at the center (layout 1), one on each side (layout 2), two units at the center facing opposite directions (layout 3), and two units on one side facing the center (layout 4). Temperature and humidity (TH) sensors were connected to a microcontroller, facilitating wireless data acquisition, storage, and remote monitoring. The actuator was controlled through a relay module, and current sensors monitored power consumption. Spatial interpolation and mapping were employed using mapping software. These layouts reduced humidity from 89.30% to 51.10%, with Layout 2 displaying the most consistent humidity distribution. Water removal efficiency varied among layouts, with layout 2 exhibiting the highest (61.15 L) and overall performance of 50%, while layouts 1, 3, and 4 exhibited lower efficiencies of 40%, 44%, and 49%, respectively. Power consumption ranged from 0.506 to 0.528 kW for the dehumidifier and 0.242 to 0.264 kW for the fan. The findings highlighted that positioning the dehumidifier on both sides, facing towards the center (Layout 2), resulted in the most uniform humidity control within the greenhouse. The optimal layout of small suspension-type dehumidifiers in greenhouses would significantly improve humidity control, promoting plant growth.

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10

Corbin, Darryl J., Robert D. G. Monk, Cynthia J. Hoffman, and S. Frank Crumb. "Compact Treatment Plant Layout." Journal - American Water Works Association 84, no. 8 (August 1992): 36–42. http://dx.doi.org/10.1002/j.1551-8833.1992.tb07409.x.

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11

Theophine, Onyejeakor, Ugheoke Iyenagbe, Ibrahim Muhammad, and Achonu Adejo. "Production-time evaluation technique for small manufacturing plants." FME Transactions 49, no. 1 (2021): 186–94. http://dx.doi.org/10.5937/fme2101186t.

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Small manufacturing plants usually experience challenges of inefficiency and low production yields. These problems have previously been addressed using methods to redesign plant layouts and reduce distance between workstations. Furthermore, assessment techniques like the machine-distance matrix method have then been required to evaluate layout performance. However, these assessments that rely only on distance evaluation are severely limited. In this paper, a new model called Production-time evaluation is presented for evaluating production layout efficiency. It involves computing the estimated time for production at workstations, time for movement between workstations and number of units of a product manufactured. It is then applied on a case study in small furniture plant. The existing layout of the plant was extracted and the production processes for its three products were outlined. A new layout was designed and both layouts were compared using the Production-time methodology, revealing improvements in reduced production time and increased daily production capacity by up to 37% for a product.

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12

Hermann, Julian, Konrad H. von Leipzig, Vera Hummel, and Anton H. Basson. "Camera-Based Indoor Positioning System for the Creation of Digital Shadows of Plant Layouts." Sensors 23, no. 21 (October 31, 2023): 8845. http://dx.doi.org/10.3390/s23218845.

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In the past, plant layouts were regarded as highly static structures. With increasing internal and external factors causing turbulence in operations, it has become more necessary for companies to adapt to new conditions in order to maintain optimal performance. One possible way for such an adaptation is the adjustment of the plant layout by rearranging the individual facilities within the plant. Since the information about the plant layout is considered as master data and changes have a considerable impact on interconnected processes in production, it is essential that this data remains accurate and up-to-date. This paper presents a novel approach to create a digital shadow of the plant layout, which allows the actual state of the physical layout to be continuously represented in virtual space. To capture the spatial positions and orientations of the individual facilities, a pan-tilt-zoom camera in combination with fiducial markers is used. With the help of a prototypically implemented system, the real plant layout was captured and converted into different data formats for further use in exemplary external software systems. This enabled the automatic updating of the plant layout for simulation, analysis and routing tasks in a case study and showed the benefits of using the proposed system for layout capturing in terms of accuracy and effort reduction.

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13

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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14

Badharinath, E., V. Diwakar Reddy, P. Sravan Kumar, and A. K. Damodaram. "Optimization of Manufacturing Plant Layout Using Systematic Layout Planning (SLP) Method." MATEC Web of Conferences 393 (2024): 01005. http://dx.doi.org/10.1051/matecconf/202439301005.

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The plant shop floor layout of a company manufactures gear bush is analysed in this study along with the application of the systematic layout planning (SLP) technique as a means of resolving the issue.The interaction between machines, operational tasks, and material flow is taken into consideration when deciding where each machine should be placed. The relationship between machines and plant area has looked into in detail, together with the activity relationship chart, process chart and plant layout. The proposed production shop floor plan was designed using the SLP technique, and the performance of the proposed layout in terms of material travelling distance, travel time, and labour cost was compared to that of the existing layout. The measures included the layout's actual sizes, the activities between machines, the separation between machines, and the material travelling between machines in the plant. The total distance travelled by the material is reduced to 799ft. from 1227ft., production is doubled and ideal time is eliminated.

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15

Madhusudanan Pillai, V., Irappa Basappa Hunagund, and Krishna K. Krishnan. "Design of robust layout for Dynamic Plant Layout Problems." Computers & Industrial Engineering 61, no. 3 (October 2011): 813–23. http://dx.doi.org/10.1016/j.cie.2011.05.014.

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16

Suhardini, D., W. Septiani, and S. Fauziah. "Design and Simulation Plant Layout Using Systematic Layout Planning." IOP Conference Series: Materials Science and Engineering 277 (December 2017): 012051. http://dx.doi.org/10.1088/1757-899x/277/1/012051.

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17

Clough, Jill M., and James R. Buck. "Plant Layout Ergonomics: Impact of Problem and Solver Features on Layout Quality." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 6 (October 1993): 468–71. http://dx.doi.org/10.1177/154193129303700604.

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A study of people solving facility layout problems was made to estimate the effects of problem features on the quality of solutions obtained by novice and experienced subjects. An empirical experiment was conducted. Three features of these problems which were systematically varied in this study were: 1. Problem size, 2. Fraction of strong inter-departmental relationships, and 3. Fraction of departments requiring a non-standard amount of floor space. Both quantitative and subjective layout evaluations were made. It was found that layout quality was not affected by feature 3 for any values of the other features, using either evaluation method, and with either novice or experienced subjects. However, feature 2 proved to be significant for all experimental conditions, both evaluation methods, and with both subject groups. Feature 1 was a significant feature in some situations, but was not significant in others. Some differences in problem solving approaches were observed. There was a significant relationship between the design of higher quality layouts by experienced subjects and the use of a Relationship Diagram. Reducing the problem size and/or percentage of strong inter-departmental relationships in a problem may make a higher quality layout easier to achieve.

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18

Rosenblatt, Meir J. "The Dynamics of Plant Layout." Management Science 32, no. 1 (January 1986): 76–86. http://dx.doi.org/10.1287/mnsc.32.1.76.

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19

Reza Ziai, M., and Dileep R. Sule. "Plant layout — Local area networks." Computers & Industrial Engineering 15, no. 1-4 (January 1988): 259–63. http://dx.doi.org/10.1016/0360-8352(88)90096-4.

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20

Lv, Chao, Shuang Liu, Shi Ming Wang, and Bei Cai. "The Production System Automatic Layout Based on Simulation." Advanced Materials Research 819 (September 2013): 393–97. http://dx.doi.org/10.4028/www.scientific.net/amr.819.393.

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The U-Shaped layout and function of production system is studied, the purpose is showing how the layouts and their main function influence each other, thus to provide enlightenments and references to improve the design of the production system layout. The simple automatic arrangement system is presented based on Plant Simulation software and focused on an equipment layout problem. The automatic layout system is an automatic layout system of workshop layout according to data; adopt the method of simulation modeling combined with optimization of the workshop layout. According to the different optimization objectives, the user can get a different optimal solution. Through simulation, we can get the default layout of the carrying amount, size and arrangement, combined with the enterprise's actual situation. The appropriate adjustments and production efficiency of production workshop are improved, and the operation time of manual modeling is shortened.

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21

HARMONOSKY, CATHERINE M., and GREGORY K. TOTHERO. "A multi-factor plant layout methodology." International Journal of Production Research 30, no. 8 (August 1992): 1773–89. http://dx.doi.org/10.1080/00207549208948121.

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22

Chuyanov, V. A. "ITER plant layout and site services." Nuclear Fusion 40, no. 3Y (March 2000): 495–500. http://dx.doi.org/10.1088/0029-5515/40/3y/308.

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23

Patsiatzis, Dimitrios I., and Lazaros G. Papageorgiou. "Optimal multi-floor process plant layout." Computers & Chemical Engineering 26, no. 4-5 (May 2002): 575–83. http://dx.doi.org/10.1016/s0098-1354(01)00781-5.

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24

Balakrishnan, Jaydeep. "Notes: “The Dynamics of Plant Layout”." Management Science 39, no. 5 (May 1993): 654–55. http://dx.doi.org/10.1287/mnsc.39.5.654.

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25

Fujihara, Yutaka, and Hirokazu Osaki. "Plant Layout Method by Neural Network." Transactions of the Japan Society of Mechanical Engineers Series C 59, no. 558 (1993): 600–605. http://dx.doi.org/10.1299/kikaic.59.600.

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26

Palekar, Udatta S., Rajan Batta, Robert M. Bosch, and Sharad Elhence. "Modeling uncertainties in plant layout problems." European Journal of Operational Research 63, no. 2 (December 1992): 347–59. http://dx.doi.org/10.1016/0377-2217(92)90035-8.

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27

Fellin, L., P. Kusstatscher, and G. Rostagni. "Overall plant design, layout and commissioning." Fusion Engineering and Design 25, no. 4 (January 1995): 315–33. http://dx.doi.org/10.1016/0920-3796(94)00279-g.

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28

Schmidt-Traub, Henner, Torsten Holtkötter, Michael Lederhose, and Peter Leuders. "An Approach to Plant Layout Optimization." Chemical Engineering & Technology 22, no. 2 (February 1999): 105–9. http://dx.doi.org/10.1002/(sici)1521-4125(199902)22:2<105::aid-ceat105>3.0.co;2-g.

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29

Fiatno, Aris, Anggara Hadi Syaputra, and Irfan Alfajri. "ANALISIS DATA TERKAIT TATA LETAK PABRIK DAN MATERIAL HANDLING SERTA USULANNYA (STUDI KASUS : PT. XXY)." Jurnal Teknik Industri Terintegrasi 3, no. 1 (May 14, 2020): 26–32. http://dx.doi.org/10.31004/jutin.v3i1.809.

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This research was conducted in November to December 2019 at PT. Sejahtera Mandiri St. Raya Pekanbaru Bangkinang Km 16, Riau Province. This research aims to find out the layout of plant facilities and Material Handling of activities input until it becomes ouput. This activity is carried out by collecting data throug observation, interviews, to take several documents such as photographs. With these data are analyzed in terms of the layot of plant facilities and Material Handling at PT. Sejahtera Mandiri so it produces some proposed designs or proposed opinions related to the layout of plant facilities and Material Handling. The result of this study indicate that the layout of factory facilities and Material Handling PT Sejahtera Mandiri has been optimized according to factory area considerations but there are some input points, such as the allocation of several work stations and realted proposals Material Handling of one work station and other work station that aim can minimize production costs and production time.

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30

Xu, Yu Qing, Qing Xin Meng, Kun Yu, and Zhi Dan Xu. "A Layout Method for Control Panel of Thermal Power Plant." Key Engineering Materials 419-420 (October 2009): 657–60. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.657.

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. A novel method for layout has been proposed for control panel. Six layout principles of ergonomics are taken into consideration to reduce the influences of indeterminate factors caused by the subjective judgments of designers. Optimization method and function is constructed to optimize the layout result based on genetic algorithm. And a computer-aided layout system is developed based on UG/OPEN API to realize automatic layout by computer. A detailed example of control panel layout of a thermal power plant is provided. The result shows that the efficiency and quality of layout are improved by this method.

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31

Xu, Siyu, Yufei Wang, and Xiao Feng. "Plant Layout Optimization for Chemical Industry Considering Inner Frame Structure Design." Sustainability 12, no. 6 (March 21, 2020): 2476. http://dx.doi.org/10.3390/su12062476.

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Plant layout design is a complex task requiring a wealth of engineering experience. A well-designed layout can extraordinarily reduce various costs, so layout study is of great value. To promote the research depth, plenty of considerations have been taken. However, an actual plant may have several frames and how to distribute facilities and determine the location of them in the different frames has not been well studied. In this work, frames are set as a special kind of inner structure and are added into the model to assign facilities into several blocks. A quantitative method for assigning facilities is proposed to let the number of cross-frame connections be minimized. After allocating the facilities into several blocks, each frame is optimized to obtain initial frame results. With designer decisions and cross-frame flow information, the relative locations of frames are determined and then the internal frame layouts are optimized again to reach the coupling optimization between frame and plant layout. Minimizing the total cost involving investment and operating costs is set to be the objective. In the case study, a plant with 138 facilities and 247 material connections is studied. All the facilities are assigned into four frames, and only 17 connections are left to be cross-frame ones. Through the two optimizations of each frame, the length of cross-frame connections reduces by 582.7 m, and the total cost decreases by 4.7 × 105 ¥/a. Through these steps, the idea of frame is successfully applied and the effectiveness of the proposed methodology is proved.

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32

Sohn, Young Tae, and Myon Woong Park. "Development of an Adaptive Layout Design System for ELV (End-of-Life Vehicle) Dismantling Plant." Applied Mechanics and Materials 510 (February 2014): 133–38. http://dx.doi.org/10.4028/www.scientific.net/amm.510.133.

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In accordance with the increased awareness of resource depletion and environmental pollution, the importance of eco-friendly disposal and recycling of vehicles as a potentially valuable resource is emphasized; in particular, this is important as automobile production and demand continues steadily. In this paper, a systematic dismantling system is proposed to minimize the quantity of ASR by dismantling End-of-Life Vehicles (ELVs) rationally and efficiently. An adaptive layout design system is also provided to aid for the effective implementation of the proposed dismantling system to industrial applications. The proposed dismantling system is based on eco-friendly dismantling and improves not only the recyclability of ELVs, but also the efficiency of the dismantling operations. The adaptive layout design system is a software tool, which allows a layout of a dismantling plant according to the specific requirements of the customers, and estimates the overall figures and capacity of an intended plant by simulation of the dismantling process. This interactive design system can be useful for testing alternative layouts of a dismantling plant customized to meet particular recycling needs.

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Pearly Saira, Chacko, Paul Gritty Maria, and Hareesh N. Ramanathan. "FACILITY LAYOUT IMPROVEMENT FOR ENHANCING PRODUCTIVITY: AN APPLICATION OF SYSTEMATIC PLANT LAYOUT." International Journal Vallis Aurea 5, no. 2 (December 1, 2019): 5–19. http://dx.doi.org/10.2507/ijva.5.2.1.62.

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Luís Kazuo Kanada, André, bruna Rafaela Junges Moreira, Gabriela Fernandez Zanotto, and Rafael Medeiros Hespanhol. "PROPOSTA DE ARRANJO FÍSICO PARA PROJETO DE UMA FÁBRICA DE CAFÉ DO INTERIOR DO OESTE PAULISTA PELA METODOLOGIA SLP." COLLOQUIUM EXACTARUM 10, Especial (December 1, 2018): 133–40. http://dx.doi.org/10.5747/ce.2018.v10.nesp.000170.

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A good study of layout becomes increasingly necessary due to the great competitiveness existing in the markets, since its use acts as a strategy for the companies, which obtain benefits like improvement of productive flow and reduction of lead-time. The research aims to propose a plant layout aimed at an optimal combination of the activities and resources of a small coffee factory. The methodology used is based on an adaptation of the Systematic Layout Planning (SLP), proposed by Muther (1973), in which a data collection was first made through bibliographical and field research, and then, applied some method tools convenient to work. The result presents a 2D layout proposal for factory installation with the help of AutoCAD software. It is concluded that even when not fully employed, SLP is effective for planning layouts.

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35

Zheng, Guorui, Han Xu, Fan Liu, and Jianwen Dong. "Impact of Plant Layout on Microclimate of Summer Courtyard Space Based on Orthogonal Experimental Design." Sustainability 16, no. 11 (May 23, 2024): 4425. http://dx.doi.org/10.3390/su16114425.

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With the rapid development of urbanization and industrialization, many green spaces have been replaced by urban buildings, resulting in decreased green spaces in courtyard space. Nonetheless, as an enclosed green space integrated with the natural environment, courtyard space plays a vital role in regulating environmental microclimate, so it is necessary to study its microclimate through vegetation greening. Therefore, this study took courtyard spaces in humid and hot areas as an example, and with the help of ENVI-met 5.5.1 software, introduced an orthogonal experimental design to simulate various plant layout models, including tree layout (TL), shrub layout (SL), grass layout (GL), and the interaction of their combined layout, and analyzed the simulation results of temperature, humidity, and wind speed. The results show that first of all, plant layout plays a crucial role in cooling and wind control, and the more uniform the plant layout, the better it is for cooling and ventilation. Secondly, plant layout showed a changing pattern of cooling and wetting in the morning, noon, and afternoon periods. Furthermore, TL had the best cooling and humidifying effect in the morning and midday, and the combined interaction of TL, SL, and GL and of SL and GL significantly affected the wind speed in the courtyard space. During the afternoon, the combined interaction of TL with SL and SL with GL outperformed the single-plant-element type of layout regarding cooling and humidification efficiency. Finally, scattered-form tree layout, single-form shrub layout, and 20% grass layout were the best combinations of plant layout for cooling, humidity reduction, and ventilation. The results provide reference data and an empirical case for the microclimate optimization of summer courtyard spaces.

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36

Wenduo, Huang, Shao Xuechun, Wang Jiajie, Xiao Yang, and Sun Dongliang. "Influence mechanism of congestion degree of layout on domino effect in petrochemical plants." E3S Web of Conferences 198 (2020): 04009. http://dx.doi.org/10.1051/e3sconf/202019804009.

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The study focused on the establishment of the congestion degree in describing the layout of process plants, and discovering the influence mechanism of congestion degree on the risk of domino effect, in view of the fact that the congestion degree has not been used to represent the characteristics of petrochemical plant layout. A characterization model was built for the congestion degree of process plant layouts applying the theory of fuzzy model that it took safety distance, the amount of materials involved and the hazard of these substances into consideration, and came out with a membership function through logical calculus, which made congestion degree a comparable data. Secondly, a systematic domino effect risk analysis method was generalized on account of domino effect quantitative risk analysis method which include the equipment damage probability, the domino effect occurrence probability, risk analysis based on the consequences, individual risk index and social risk index, the process plant natural risk index and real risk index, and then these indices were compared to select the most suitable ones to illustrate the risk of domino effect and to research about part of the storage tank field of a petrochemical plant. Finally, the influence mechanism of layout congestion degree on domino effect of regional accident was obtained through this quantitative analysis. Simultaneously, a range of the congestion degree was acquired according to the individual risk index which can be used as a reference in the design stage of the process plant. The result proved that high congestion degree in process plant greatly increased the risk of domino effect in most of the quantitative risk analysis index, such as the probability of resulting in secondary accidents, the harm on both human and the equipments caused by the initial accident, and the individual risk and social risk, etc. The characterization models for the congestion degree and the domino risk analysis method established and summarized in the study have been applied in the design stage of process plant layout to optimize the layout, and thus reduce the risk of domino effect caused by accidents.

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Vitayasak, Srisatja, and Pupong Pongcharoen. "Re-Layout and Robust Machine Layout Design under Stochastic Demand." Applied Mechanics and Materials 789-790 (September 2015): 1252–57. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.1252.

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In manufacturing business, variability in customer demand over time-periods has led to production flexibility on the shop floor area. Placement of machines in a limited manufacturing area is one of the essential plant designs in material flow between machines. Shortened material handling distance can be considered a key performance index of internal logistic activity in a manufacturing firm. This paper presents the application of the Genetic Algorithm for designing machine layouts that minimise total material handling cost based on demand uncertainty during time-periods. The experimental study was computationally conducted based on two scenarios: re-layout after demand changing; and robust layout (no machine movement even if demand changes). A trade-off between the shortened handling distance and total cost was discussed as being a business decision-making tool.

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Suhardi, Agatha Rinta, and Ajrina Purnamaputri. "APAKAH PERUBAHAN PLANT LAYOUT DAPAT MENINGKATKAN EFISIENSI PRODUKSI?" Jurnal Muara Ilmu Ekonomi dan Bisnis 1, no. 1 (May 12, 2017): 11. http://dx.doi.org/10.24912/jmieb.v1i1.401.

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Sektor industri tekstil di Indonesia saat ini menjadi sektor yang berkembang dan memiliki peluang pasar yang besar. Peningkatan proses produksi dipengaruhi oleh layout produksi yaitu tata letak fasilitas yang digunakan. Kapasitas produksi yang maksimal dapat dilakukan dengan meninjau ulang plant layout bagian produksi. Tujuan dari penelitian ini adalah untuk mengetahui gambaran plant layout, kendala yang dihadapi, serta memberikan usulan rancangan layout yang baru pada perusahaan. Metode penelitian menggunakan metode deskriptif. Teknik pengumpulan data menggunakan studi lapangan yang terdiri dari wawancara dan observasi, serta studi kepustakaan. Plant layout perusahaan berupa ukuran ruangan pabrik seluas 30,18 m2, susunan antar mesin terdiri dari 11 unit mesin proses pembuatan dan 237 unit mesin, jumlah produksi benang yang dihasilkan 180 unit per hari, waktu kerja proses produksi benang per hari selama 8 jam yang terbagi dalam tiga shift dalam satu hari, jumlah tugas produksi benang sebanyak tujuh, waktu yang dibutuhkan oleh setiap tugas produksi benang yaitu 720 detik per unit. Kendala yang dihadapi perusahaan adalah jarak antar mesin Bale opener, Super bale opener dan mesin NCF, Simplex berupa Nep (gumpalan kapas), Slub (kerataan sliver atau benang kasar), dan Grains (ukuran berat), Spinning, Ne (nomor benang), TPI (twist per inchi), U% (kerataan benang), Strenght (kekuatan benang “daya elongation”), dan winding, yang berupa kekuatan dan kerataan sambungan benang, warna cones, lilin pelicin(wax), gulungan crossing (benang silang), dan penulisan lot label. Usulan layout memakai metode line balancing pada perusahaan lebih efisiensi sekitar 75 %.Kata kunci : plant layout, efisiensi produksi, metode line balancing

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Kasemset, Chompoonoot, Takron Opassuwan, Thanakit Tangsittikhun, and Nititada Chaiyajina. "Application of Simulation Technique for Improving Plant Layout in Ceramic Factory." Production Engineering Archives 29, no. 2 (April 26, 2023): 186–94. http://dx.doi.org/10.30657/pea.2023.29.22.

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Abstract This study aims to design and improve the plant layout of a ceramic factory by adopting Systematic Layout Planning (SLP) and the simulation technique. A ceramic company in northern Thailand is selected as a case study. Three ceramic products including roof tiles, wall tiles and dishware are studied due to their highest production volume. Through the SLP approach, information regarding the number of departments and machines, the area of the plant, the frequency of movement and the distance between each department is collected for the analysis of the relationship between departments. Two plant layout designs are then proposed; the first one is derived from the Computerized Relationship Layout Planning algorithm (CORELAP), and the second one is the process layout. For selecting the most appropriate layout design, five criteria are considered including total distance, the average total process time of each unit produced, ease of movement, material flow and safety. To determine the distance and the average total process time per unit, Distance-Based Scoring and simulation techniques are conducted while the ease of movement, material flow and safety are rated based on whether the company satisfies each criterion. Employing the weight scoring technique, the results report that the CORELAP layout is the most suitable for further implementation due to its highest weighted score equal to 2.536 while the process layout receives 2.386. Implementing the CORELAP layout can reduce the total distance by 16.76% while the average total process time per unit of the CORELAP layout is not significantly different at the significance level of 0.05 as compared to the existing layout.

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Wu, Yan, Siyu Xu, Huan Zhao, Yufei Wang, and Xiao Feng. "Coupling Layout Optimization of Key Plant and Industrial Area." Processes 8, no. 2 (February 5, 2020): 185. http://dx.doi.org/10.3390/pr8020185.

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Layout problems are an engineering task that heavily relies on project experience. During the design of a plant, various factors need to be considered. Most previous efforts on industrial layout design have focused on the arrangement of facilities in a plant. However, the area-wide layout was not thoroughly studied and the relationship between plant layout and area-wide layout was rarely mentioned. In this work, the key plant that has the greatest impact on the industrial area is figured out first, and then the coupling relationships between the key plant and the industrial area are studied by changing the occupied area and length-width ratio of the key plant. Both of them are achieved by changing the floor number. A hybrid algorithm involving the genetic algorithm (GA) and surplus rectangle fill algorithm (SRFA) is applied. Various constraints are considered to make the layout more reasonable and practical. In the case study, a refinery with 20 plants is studied and the catalytic cracking plant is found to be the key plant. After the retrofit, the total cost of the refinery is 1,806,100 CNY/a less than that before, which illustrates the effectiveness of the method.

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Khuriyati, Nafis, Anggoro C. Sukartiko, and Annisa Kartikasari. "Plant Layout for Small Scale Food Industry." KnE Life Sciences 3, no. 3 (January 1, 2016): 98. http://dx.doi.org/10.18502/kls.v3i3.393.

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<p>Small scale food industries are identical with labor intensive, low efficiency, and bad housekeeping. It needs specific improvement of performance related to their raw material characteristics as agricultural commodities. The study was conducted to improve the performance of small cracker industry through improved plant layout. It was done by considering the material flow, relationship between activities, food safety, equipment and workers' allowances, space utilization. Plant layout modification improves the small scale cracker industry in terms of material flow, the risk of contamination, space utilization, work safety, and energy for material handling. <br /><strong>Keywords</strong>: Crackers, energy expenditure, material handling, plant layout, small scale industry</p>

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de Souza, Marcus Vinicius, Beatriz Souza Leite Pires De Lima, and Juliana Souza Baioco. "Process Plant Layout Optimization of an FPSO." IEEE Latin America Transactions 17, no. 10 (October 2019): 1724–32. http://dx.doi.org/10.1109/tla.2019.8986451.

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ROSENBLATT, MEIR J., and DEAN H. KROPP. "The Single Period Stochastic Plant Layout Problem." IIE Transactions 24, no. 2 (May 1992): 169–76. http://dx.doi.org/10.1080/07408179208964214.

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Lugo-Márquez, Sebastián, Álvaro Guarín Grisales, Oliver Rubio, and W. Ernst Eder. "Modular redesign methodology for improving plant layout." Journal of Engineering Design 27, no. 1-3 (November 17, 2015): 50–74. http://dx.doi.org/10.1080/09544828.2015.1103843.

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Pratami, Devi, Muhamad Iqbal, Ika Arum Puspita, Muhammad Rizaldi Dermawan, and Rifki Kurniawan Faisal Arief. "The Development of Plant Layout Design Framework." Advanced Science Letters 23, no. 5 (May 1, 2017): 4281–86. http://dx.doi.org/10.1166/asl.2017.8254.

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Ejeh, Jude O., Songsong Liu, Mazaher M. Chalchooghi, and Lazaros G. Papageorgiou. "Optimization-Based Approach for Process Plant Layout." Industrial & Engineering Chemistry Research 57, no. 31 (June 22, 2018): 10482–90. http://dx.doi.org/10.1021/acs.iecr.8b00260.

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Fujita, K., S. Akagi, and T. Nakatogawa. "Hybrid Approach to Plant Layout Design Using Constraint-Directed Search and an Optimization Technique." Journal of Mechanical Design 116, no. 4 (December 1, 1994): 1026–33. http://dx.doi.org/10.1115/1.2919483.

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A hybrid type approach to plant layout design is presented using a constraint-directed search procedure and a mathematical optimization technique. In layout design, a plant must be arranged to satisfy spatial constraints imposed by its components. In our approach the whole space of a plant building is divided into the finite compartments with a modular size in order to separate the description of the layout into the combinatorial part and the sizing part. The approach consists of two steps. In the first step, a constraint-directed search procedure is applied to find a combinatorial solution among plant components so as to satisfy the spatial layout conditions. In the second step, an optimization technique is applied to determine the actual dimensions of components so as to minimize a measure of an overall size of a plant building considering size of components. The approach is implemented with an object-oriented programming environment and the system can automatically produce a layout from the declarative representation of layout conditions. Finally, the approach has been applied to the design of a nuclear power plant in order to check its validity and effectiveness.

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Igboanugo, A. C., and S. Amiebenomo. "Design of Process Layout for a Pilot Alkyd Resin Production Plant." Advanced Materials Research 18-19 (June 2007): 435–41. http://dx.doi.org/10.4028/www.scientific.net/amr.18-19.435.

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There are several reasons why industrial engineers need to optimize process layout designs. This paper points out the justification and discusses the qualitative and quantitative techniques involved in the determination of an optimal process layout for a pilot alkyd resin and its end products manufacturing system. It also spotlights practical decisions required for achieving optimality in the design process. It is the belief of the authors that with some improvements on the final layout, our proposed layout will be a ballpark of eco-factory moored on green manufacturing.

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Hassan, Nurudeen Abdulhakeem, Adiat Ibironke Arogundade, Ugheoke Benjamin Iyenagbe, and Dagwa Ishaya Musa. "Simulation and analyses of shea nuts (vitallaria paradoxa) processing plant using FlexSim©." Journal of Future Sustainability 3, no. 2 (2023): 67–74. http://dx.doi.org/10.5267/j.jfs.2022.11.006.

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Manufacturing facilities are systems that require adequate designing, maintenance and reservations for improvement in the future. Layouts need to be effectively designed to reduce operating to the minimum. Computer simulation is a process of investigating and analyzing the behavior of production processes for effective decision-making using computers to generate solutions that will positively impact short, and long-term planning of the Plants and save costs of real-life implementation. This study investigated a 500Kg capacity shea nut processing plant using FlexSim©. The findings from the initial model were not effective and experienced bottlenecks in workstations (Roaster and Milling) sections, poor cycle and lead times coupled with manual labor, Plant efficiency was 35.7%. However, the Improvement Layout Model was able to address these bottlenecks, the results showed the Plant efficiency increased to 83.3%, shorter lead and cycle times, improved machine utilization, and throughput capacity of the Plant. The results were an indication of conformance to the layout design developed to aid in enhancing the traditional shea nut processing that is largely dominated by traditional processing practices.

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Charles, Mfon, David T. O. Oyedokun, and Mqhele Dlodlo. "Power Maximization and Turbulence Intensity Management through Axial Induction-Based Optimization and Efficient Static Turbine Deployment." Energies 14, no. 16 (August 12, 2021): 4943. http://dx.doi.org/10.3390/en14164943.

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Layout optimization is capable of increasing turbine density and reducing wake effects in wind plants. However, such optimized layouts do not guarantee fixed T-2-T distances in any direction and would be disadvantageous if reduction in computational costs due to turbine set-point updates is also a priority. Regular turbine layouts are considered basic because turbine coordinates can be determined intuitively without the application of any optimization algorithms. However, such layouts can be used to intentionally create directions of large T-2-T distances, hence, achieve the gains of standard/non-optimized operations in these directions, while also having close T-2-T distances in other directions from which the gains of optimized operations can be enjoyed. In this study, a regular hexagonal turbine layout is used to deploy turbines within a fixed area dimension, and a turbulence intensity-constrained axial induction-based plant-wide optimization is carried out using particle swarm, artificial bee colony, and differential evolution optimization techniques. Optimized plant power for three close turbine deployments (4D, 5D, and 6D) are compared to a non-optimized 7D deployment using three mean wind inflows. Results suggest that a plant power increase of up to 37% is possible with a 4D deployment, with this increment decreasing as deployment distance increases and as mean wind inflow increases.

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