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Relevant bibliographies by topics / Cellular facility layout

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Journal articles
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Academic literature on the topic 'Cellular facility layout'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Cellular facility layout"

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Kumar, Ravi, and Surya Prakash Singh. "Cellular facility layout problem: a case of tower manufacturing industry." Management of Environmental Quality: An International Journal 30, no. 6 (September 9, 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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Fei, Lee Li, and Shahryar Sorooshian. "Impact on Improving Facility Layout Design on Company System Performance." Journal of Management and Science 1, no. 4 (December 30, 2013): 514–17. http://dx.doi.org/10.26524/jms.2013.71.

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Layout design is one of the significant roles on company performance and work-cells layout is one of the thriving methods. Therefore, many researchers have point out the advantages of cellular manufacturing system. However, in this study, the problems of cellular manufacturing will be point out according to company performance: work in process lead time, worker performance and company productivity.

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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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Van Thanh, Nguyen, Nguyen Thai Nguyet Thanh, and Nguyen Viet Tinh. "Group Technology for Optimizing Manufacturing Facility Layout." ARRUS Journal of Engineering and Technology 1, no. 1 (August 19, 2021): 9–17. http://dx.doi.org/10.35877/jetech512.

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In recent years, the process of cellular manufacturing and group technology have received a lot of attention and popularity in many developed countries. By applying Group Technology (GT), many benefits of flow-line production can be attained in a batch production system. GT improves material handling significantly by reducing material flow time, distance, and setup times. In this paper, an earnest investigative attempt was made to provide valuable information regarding the use of Group Technology by applying to a real world jobshop system. The proposed GT model has the flexibility of choosing the number of cells required, which is very useful in examining different manufacturing cell configurations; or in case the workshop or factory prefers a certain number of work cells. The GT model results were found satisfactory and superior to other techniques in some cases.

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Lu, Tong Tong, Zheng Liu, Yi Zhang, and Teng Zhan. "Workshop Facility Layout Optimization Based on the Crowding Niche Cellular Genetic Algorithm." Applied Mechanics and Materials 278-280 (January 2013): 2172–76. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2172.

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Workshop facility layout belongs to a kind of combinational optimization problem, which has the characteristics of nonlinearity and not being easily solved with conventional methods, therefore it is regarded as a typical NP hard problem. This paper proposed a crowding niche cellular genetic algorithm. By introducing niche crowding technology to select the best individuals, the population diversity was well maintained. On the other hand, neighbors in cellular automata were adopted to study more on the cellular topological optimization structure, which enhanced the global searching ability of the algorithm. In addition, multi-line workshop facility layout problem has been optimized in the paper, which verified that the crowding niche cellular genetic algorithm was effective and applicable.

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Davies, Alan, Elwyn John, and Andrew Thomas. "A flow direction weighting scheme for facility layout in cellular manufacturing." International Journal of Productivity and Performance Management 62, no. 2 (January 11, 2013): 185–203. http://dx.doi.org/10.1108/17410401311295731.

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Golmohammadi, Amir-Mohammad, Hasan Rasay, Zaynab Akhoundpour Amiri, Maryam Solgi, and Negar Balajeh. "Soft Computing Methodology to Optimize the Integrated Dynamic Models of Cellular Manufacturing Systems in a Robust Environment." Mathematical Problems in Engineering 2021 (November 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/3040391.

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Machine learning, neural networks, and metaheuristic algorithms are relatively new subjects, closely related to each other: learning is somehow an intrinsic part of all of them. On the other hand, cell formation (CF) and facility layout design are the two fundamental steps in the CMS implementation. To get a successful CMS design, addressing the interrelated decisions simultaneously is important. In this article, a new nonlinear mixed-integer programming model is presented which comprehensively considers solving the integrated dynamic cell formation and inter/intracell layouts in continuous space. In the proposed model, cells are configured in flexible shapes during the planning horizon considering cell capacity in each period. This study considers the exact information about facility layout design and material handling cost. The proposed model is an NP-hard mixed-integer nonlinear programming model. To optimize the proposed problem, first, three metaheuristic algorithms, that is, Genetic Algorithm (GA), Keshtel Algorithm (KA), and Red Deer Algorithm (RDA), are employed. Then, to further improve the quality of the solutions, using machine learning approaches and combining the results of the aforementioned algorithms, a new metaheuristic algorithm is proposed. Numerical examples, sensitivity analyses, and comparisons of the performances of the algorithms are conducted.

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Wang, Tai-Yue, Her-Chang Lin, and Kuei-Bin Wu. "An improved simulated annealing for facility layout problems in cellular manufacturing systems." Computers & Industrial Engineering 34, no. 2 (April 1998): 309–19. http://dx.doi.org/10.1016/s0360-8352(97)00318-5.

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Ariafar, Shahram, Napsiah Ismail, Sai Hong Tang, Mohd Khairol Anuar Mohd Ariffin, and Zahra Firoozi. "The reconfiguration issue of stochastic facility layout design in cellular manufacturing systems." International Journal of Services and Operations Management 11, no. 3 (2012): 255. http://dx.doi.org/10.1504/ijsom.2012.045658.

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Ariafar, Shahram, Napsiah Binti Ismail, Mohd Khairol Anuar Mohd Ariffin, Say Hong Tang, and Zahra Firoozi. "Illustration and Model Verification for an Inter-Cell and Intra-Cell Facility Layout Problem in a Cellular Manufacturing System." Applied Mechanics and Materials 263-266 (December 2012): 1310–14. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1310.

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In a Cellular Manufacturing System (CMS), parts based on their similarities are grouped into part families, and are assigned to one or more machine cells to be manufactured. In the design of a CMS, facility layout problem aims to arrange machine cells in the shop floor and facilities in the machine cells in order to have an efficient layout. In this study, a previously developed cellular layout model will be illustrated and validated for a well-known case from the literature. Lingo optimization software version 12.0 and an enumeration method will be used to solve, and validate the model. The results of this study show the validity of the proposed model.

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Dissertations / Theses on the topic "Cellular facility layout"

1

Kumar, Ravi. "Cellular facility layout : models and methodologies." Thesis, 2018. http://localhost:8080/iit/handle/2074/7641.

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Book chapters on the topic "Cellular facility layout"

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Ariafar, Shahram, Zahra Firoozi, and Napsiah Ismail. "A Triangular Stochastic Facility Layout Problem in a Cellular Manufacturing System." In International Conference on Mathematical Sciences and Statistics 2013, 45–52. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4585-33-0_6.

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Kumar, Ravi, and Surya Prakash Singh. "Modified SA Algorithm for Bi-objective Robust Stochastic Cellular Facility Layout in Cellular Manufacturing Systems." In Advanced Computing and Communication Technologies, 19–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0680-8_3.

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Allahyari, Maral Zafar, and Ahmed Azab. "Facility Layout Problem for Cellular Manufacturing Systems." In Computational Optimization in Engineering - Paradigms and Applications. InTech, 2017. http://dx.doi.org/10.5772/67313.

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Conference papers on the topic "Cellular facility layout"

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Ma, Hanwu, and Dengfan Zhang. "The Dynamics Facility Layout Study Based on Cellular Manufacturing." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.816.

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Leung, Mark T., Rolando Quintana, and An-Sing Chen. "A paradigm for Group Technology cellular layout planning in JIT facility." In 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4738055.

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Allahyari, Maral Zafar, and Ahmed Azab. "Improved Bi-Level Mathematical Programming and Heuristics for the Cellular Manufacturing Facility Layout Problem." In ASME 2015 International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/msec2015-9273.

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A good layout plan results in improvements in machine utilization, setup time, and reduction in work-in-process inventory and material handling cost. Facility layout problem (FLP) for CMS includes both intercellular- and intracellular-layout. Most of the literature takes a discrete approach and rarely considers operations sequence and part demand. In this paper, a novel bi-level heuristic and mixed-integer non-linear programming continuous model for the layout design of cellular manufacturing are developed. Machine tools and manufacturing cells layout are determined sequentially by solving a leader and follower problem, respectively. Facilities are assumed unequal sizes. Both overlap elimination and aisle constraint modeling have been considered. The model is nonlinear; problem is NP-hard. Hence, only small instances of the problem can be solved using the exact linearized model. The developed heuristic is used to solve large instances of the problem. A real case study from the metal cutting inserts industry, where multiple families of inserts have been formed, each with its distinguished master plan, is presented.

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