Articoli di riviste: "Optimal Layout Problems"

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Nisted, Lasse, David Pisinger e Avri Altman. "Optimal wafer cutting in shuttle layout problems". Journal of Combinatorial Optimization 22, n. 2 (28 gennaio 2010): 202–16. http://dx.doi.org/10.1007/s10878-009-9284-z.

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Lurie, K. A. "Direct relaxation of optimal layout problems for plates". Journal of Optimization Theory and Applications 80, n. 1 (gennaio 1994): 93–116. http://dx.doi.org/10.1007/bf02196595.

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Liu, Shu Yuan. "The Application of Layout Heuristic Optimization Algorithm in Operational Model". Advanced Materials Research 753-755 (agosto 2013): 1914–17. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1914.

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Abstract (sommario):

In order to solve the layout NP complete problem, this paper analyzes the layout optimization model and algorithm, This kind of problems involved in operational research, data structures, algorithm analysis, artificial intelligence, computer network, etc. multi-discipline knowledge. Layout problems widely exist in practice, the main research rectangular optimal layout, Rectangular optimal layout is a series of rectangular parts reasonably emissions in raw material, make the highest utilization of raw material, And the optimization mathematical model is established, and the use of heuristic algorithm to solve the rectangular optimal layout problem. Simulation experiment showed that the optimization algorithm is effective.

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Hills, W., M. Barlow e G. Cleland. "Layout Design of Large Made-To-Order Products Using a Knowledge-Based System". Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 207, n. 4 (novembre 1993): 257–63. http://dx.doi.org/10.1243/pime_proc_1993_207_088_02.

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Work is described which is concerned with the application of knowledge-based and emergent-order programming techniques to conceptual layout problems in the field of large made-to-order products. The aim of this work has been to develop a prototype for computer aided design (CAD) tools that manipulate and analyse a product's topology, rather than its precise geometry. Features of the system include: working prototypes of a generic layout-oriented product model database schema and a layout design process. A knowledge-based system is used to advise the designer on optimal layout strategies and then, after layouts have been generated, to provide advice and assistance in the selection of the final layout.

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Munavalli, Jyoti R., Shyam Vasudeva Rao, Aravind Srinivasan e Frits Van Merode. "Dynamic Layout Design Optimization to Improve Patient Flow in Outpatient Clinics Using Genetic Algorithms". Algorithms 15, n. 3 (6 marzo 2022): 85. http://dx.doi.org/10.3390/a15030085.

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Evolutionary algorithms, such as genetic algorithms have been used in various optimization problems. In this paper, we propose to apply this algorithm to obtain the layout design/redesign in order to improve the patient flow in an outpatient clinic. Layout designs are planned considering long-term requirements whereas the layout keeps modifying as per short-term demands. Over a period of time, the layout often does not remain efficient. Therefore, there is a need for such a model that helps in decision making on layout redesigns, and it must also optimize workflow by incorporating the flow constraints. In this study, we propose to minimize the waiting times by obtaining optimal and sub-optimal layout designs. A genetic algorithm is implemented to redesign the layouts based on the changing dynamics of patient demand, clinical pathways and services offered. The workflow is simulated with current layout and optimized layouts, and the results in terms of waiting time and cycle time are compared. The study shows that when layout design or redesign incorporate the workflow and pathways along with associated constraints, improves waiting time and cycle time of patients in the outpatient clinic. The distance between the departments/locations is translated to travelling time and overall travel distance/time is minimized by rearranging the allocations of departments to the location through genetic algorithms.

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Hsie, Machine, Ming-Yen Wu e Chun Yen Huang. "Optimal urban sewer layout design using Steiner tree problems". Engineering Optimization 51, n. 11 (22 gennaio 2019): 1980–96. http://dx.doi.org/10.1080/0305215x.2018.1560436.

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Gu, Jinjin, Yuan Cao, Min Wu, Min Song e Lin Wang. "A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty". Sustainability 14, n. 20 (12 ottobre 2022): 13088. http://dx.doi.org/10.3390/su142013088.

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Watershed Best management Practices (BMPs) spatial optimal layout would be affected by uncertainty, and there are still three problems which are worthy of studying in the present studies of watershed BMPs spatial optimal layout under uncertainty: (1) how to integrate multiple uncertainties in optimization model effectively; (2) how to avoid subjective weight in multi-objective uncertainty model; (3) how to develop more elastic schemes for uncertainty impact. To solve the mentioned problems, this study takes Zhegao river watershed, China as an example, interval stochastic fuzzy fractional programming (ISFFP) integrated with SWAT hydrology model is applied for BMPs spatial optimal layout in watershed to reduce non-point source (NPS) pollution. The result shows that the ISFFP method could solve the problems effectively, and the method could be adapted to different types of uncertainty, also the method has seldom been used in uncertainty BMPs spatial optimal layout, and the method is worth of popularization.

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Irawan, Heri Tri, Bismi Khairijal, Iing Pamungkas, T. M. Azis Pandria, Arhami Arhami, Hasnita Hasnita e Risnadi Irawan. "Perancangan Ulang Tata Letak pada Galangan Kapal Tradisional menggunakan Blocplan-90". Jurnal Optimalisasi 9, n. 2 (15 ottobre 2023): 148. http://dx.doi.org/10.35308/jopt.v9i2.8325.

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CV. Rasya Jaya is a traditional fishing boat manufacturing company located in Padang Seurahet, Kec. Johan Pahlawan, Aceh Barat Regency. The facility layout of CV. Rasya Jaya has several workstations that are not in the correct location for the production process or the relationship between related rooms. This results in inefficient and ineffective material handling, as well as reduced worker comfort. The poorly organized facilities also contribute to production constraints. Therefore, it is necessary to evaluate the production facility layout at CV. Rasya Jaya. The goal is to provide an alternative design for the production facility layout that is more efficient and effective in terms of the relationship between the production process flow and minimizing material flow in the production process. The purpose of this study is to determine the optimal layout at CV. Rasya Jaya using the Blocplan algorithm. Blocplan-90 is an algorithm for solving spatial layout problems that can handle both quantitative and qualitative data. Mathematical models within the design are developed with computer applications for models that work with the limitations of workstation shapes. Based on the results of the layout design of facilities at CV. Rasya Jaya, three main layouts were created: office layout, facility layout, and production layout. The total area of the three layouts is 1739 m2.

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CHEN, DANNY Z., XIAOBO S. HU e XIAODONG WU. "OPTIMAL POLYGON COVER PROBLEMS AND APPLICATIONS". International Journal of Computational Geometry & Applications 12, n. 04 (agosto 2002): 309–38. http://dx.doi.org/10.1142/s0218195902000918.

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Polygon cover problems are important in several applied areas, such as material layout, layered manufacturing, radiation therapy and radiosurgery, etc. In this paper, we study three optimal polygon cover problems: monotone polygon cover among obstacles, star-shaped polygon cover among obstacles, and strip cover for trapezoidalized polygons. Based on some interesting geometric observations, we develop efficient algorithms for solving these problems. The complexity bounds of our monotone cover and star-shaped cover algorithms are comparable to those of the previously best known algorithms for simpler cases of the problems without considering obstacles. Our strip cover algorithm improves the quality of the previously best known solutions.

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KOUVELIS, PANAGIOTIS, WEN-CHYUAN CHIANG e GANG YU. "Optimal algorithms for row layout problems in automated manufacturing systems". IIE Transactions 27, n. 1 (febbraio 1995): 99–104. http://dx.doi.org/10.1080/07408179508936721.

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Szykman, S., e J. Cagan. "A Simulated Annealing-Based Approach to Three-Dimensional Component Packing". Journal of Mechanical Design 117, n. 2A (1 giugno 1995): 308–14. http://dx.doi.org/10.1115/1.2826140.

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This paper introduces a simulated annealing-based approach to three-dimensional component packing that employs simulated annealing to generate optimal solutions. Simulated annealing has been used extensively for two-dimensional layout of VLSI circuits; this research extends techniques developed for two-dimensional layout optimization to three-dimensional problems which are more representative of mechanical engineering applications. This research also provides a framework in which to solve general component layout problems.

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Kundeti, Vamsi Krishna, e Prosenjit Gupta. "Optimal Algorithms for Some Polygon Enclosure Problems for VLSI Layout Analysis". Journal of Mathematical Modelling and Algorithms 5, n. 3 (17 febbraio 2006): 259–71. http://dx.doi.org/10.1007/s10852-005-9008-z.

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Zha, Shanshan, Yu Guo, Shaohua Huang, Qi Wu e Pengzhou Tang. "A hybrid optimization approach for unequal-sized dynamic facility layout problems under fuzzy random demands". Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, n. 3 (11 novembre 2019): 382–99. http://dx.doi.org/10.1177/0954405419883046.

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Dynamic facility layout problems involve devising the optimal layout for each different production period. This article studies unequal-area dynamic facility layout problems under fuzzy random environment to minimize the sum of the material handling costs and rearrangement costs. For a more general situation, a novel model of unequal-area dynamic facility layout problems is proposed on the basis of fuzzy random theory, in which uncertain demands are characterized by fuzzy random variables. Unequal-area dynamic facility layout problems are one of the non-deterministic polynomial-time hard problems. Therefore, a hybrid particle swarm optimization and simulated annealing algorithm is innovated to solve the proposed unequal-area dynamic facility layout problems model under fuzzy random environment, in which the shapes and areas of facilities are changed dynamically. Two facility-swapping methods and two local search methods help hybrid algorithm escape from local optima, allowing a more reliable solution. Moreover, a new shifting method is developed to prevent the spatial overlapping between adjacent facilities and save material handling costs. The performance of the hybrid algorithm is confirmed by some test problems available. Finally, the proposed method is extended to a facility layout planning of a new aircraft assembly shop floor. Computational results show that the efficiency and effectiveness of the proposed method, in sharp comparison with other approaches.

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Fairclough, H., e M. Gilbert. "Layout optimization of simplified trusses using mixed integer linear programming with runtime generation of constraints". Structural and Multidisciplinary Optimization 61, n. 5 (11 marzo 2020): 1977–99. http://dx.doi.org/10.1007/s00158-019-02449-7.

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AbstractTraditional truss layout optimization employing the ground structure method will often generate layouts that are too complex to fabricate in practice. To address this, mixed integer linear programming can be used to enforce buildability constraints, leading to simplified truss forms. Limits on the number of joints in the structure and/or the minimum angle between connected members can be imposed, with the joints arising from crossover of pairs of members accounted for. However, in layout optimization, the number of constraints arising from ‘crossover joints’ increases rapidly with problem size, along with computational expense. To address this, crossover constraints are here dynamically generated and added at runtime only as required (so-called lazy constraints); speedups of more than 20 times are observed whilst ensuring that there is no loss of solution quality. Also, results from the layout optimization step are shown to provide a suitable starting point for a non-linear geometry optimization step, enabling results to be obtained that are in agreement with literature solutions. It is also shown that symmetric problems may not have symmetric optimal solutions, and that multiple distinct and equally optimal solutions may be found.

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DÍAZ, JOSEP, MATHEW D. PENROSE, JORDI PETIT e MARÍA SERNA. "Convergence Theorems for Some Layout Measures on Random Lattice and Random Geometric Graphs". Combinatorics, Probability and Computing 9, n. 6 (novembre 2000): 489–511. http://dx.doi.org/10.1017/s0963548300004454.

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This work deals with convergence theorems and bounds on the cost of several layout measures for lattice graphs, random lattice graphs and sparse random geometric graphs. Specifically, we consider the following problems: Minimum Linear Arrangement, Cutwidth, Sum Cut, Vertex Separation, Edge Bisection and Vertex Bisection. For full square lattices, we give optimal layouts for the problems still open. For arbitrary lattice graphs, we present best possible bounds disregarding a constant factor. We apply percolation theory to the study of lattice graphs in a probabilistic setting. In particular, we deal with the subcritical regime that this class of graphs exhibits and characterize the behaviour of several layout measures in this space of probability. We extend the results on random lattice graphs to random geometric graphs, which are graphs whose nodes are spread at random in the unit square and whose edges connect pairs of points which are within a given distance. We also characterize the behaviour of several layout measures on random geometric graphs in their subcritical regime. Our main results are convergence theorems that can be viewed as an analogue of the Beardwood, Halton and Hammersley theorem for the Euclidean TSP on random points in the unit square.

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Bont, Leo. "Optimales Layout einer Walderschliessung". Schweizerische Zeitschrift fur Forstwesen 167, n. 5 (1 maggio 2016): 294–301. http://dx.doi.org/10.3188/szf.2016.0294.

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Optimal layout of a forest road network The road network is the backbone of forest management. When creating or redesigning a forest road network, one important question is how to shape the layout, this means to fix the spatial arrangement and the dimensioning standard of the roads. We consider two kinds of layout problems. First, new forest road network in an area without any such development yet, and second, redesign of existing road network for actual requirements. For each problem situation, we will present a method that allows to detect automatically the optimal road and harvesting layout. The method aims to identify a road network that concurrently minimizes the harvesting cost, the road network cost (construction and maintenance) and the hauling cost over the entire life cycle. Ecological issues can be considered as well. The method will be presented and discussed with the help of two case studies. The main benefit of the application of optimization tools consists in an objective-based planning, which allows to check and compare different scenarios and objectives within a short time. The responses coming from the case study regions were highly positive: practitioners suggest to make those methods a standard practice and to further develop the prototype to a user-friendly expert software.

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Kouvelis, Panagiotis, e Wen-Chyuan Chiang. "Optimal and Heuristic Procedures for Row Layout Problems in Automated Manufacturing Systems". Journal of the Operational Research Society 47, n. 6 (giugno 1996): 803. http://dx.doi.org/10.2307/3010288.

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Kouvelis, Panagiotis, e Wen-Chyuan Chiang. "Optimal and Heuristic Procedures for Row Layout Problems in Automated Manufacturing Systems". Journal of the Operational Research Society 47, n. 6 (giugno 1996): 803–16. http://dx.doi.org/10.1057/jors.1996.100.

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Blanks, John P. "Near-optimal quadratic-based placement for a class of IC layout problems". IEEE Circuits and Devices Magazine 1, n. 5 (settembre 1985): 31–37. http://dx.doi.org/10.1109/mcd.1985.6312016.

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Anjos, Miguel F., e Ginger Yen. "Provably near-optimal solutions for very large single-row facility layout problems". Optimization Methods and Software 24, n. 4-5 (ottobre 2009): 805–17. http://dx.doi.org/10.1080/10556780902917735.

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Han, Xiao Jian, Xiang Fang Ding e Chun Xiao. "The Research of Particle Swarm Algorithm Based on Heuristic Rules for the Layout of Airplane Equipment Cabin". Applied Mechanics and Materials 300-301 (febbraio 2013): 659–63. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.659.

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Abstract (sommario):

How to get the most optimal solution of equipment layout in the aircraft cabin of the limited space is a completely NP problem. The problem is abstracted as three dimensions （3D） layout problem. A co-evolutionary particle swarm optimization with heuristic rules is presented. The cabin is decomposed into several small-scale layout problems. The co-evolutionary framework is adopted, and particle swarm optimization (PSO) and heuristic roles for layout are integrated to solve this problem. Finally, an example is used to verify the feasibility and effectiveness of the algorithm.

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

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Unequal area facilities layout problem (UA-FLP) is an inevitable problem in the process of new construction, reconstruction, and expansion of enterprises. The rationality of the facilities layout has a great influence on the operation performance of the production system. Finding the optimal solution of UA-FLP according to the requirement of production process is the main content of the plant design. The facilities were constrained by given areas and aspect ratio, respectively. By adopting the method of slicing tree, the layout space was divided into multiple regions for each facility. The genetic algorithm was developed by using layered coding to show the slicing process. Considering the production logistics cost as well as the adjacency relations between the facilities, the goal function was established and the optimal solution was obtained by running the proposed algorithm. Finally, the feasibility of the proposed approach was validated by a set of known problems. The comparison results show that it can provide decision support for rapid optimal layout of multifacilities.

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Hartanto, Nadiya Hasna Fakhirah, e Budi Aribowo. "Perancangan Tata Letak Toko Ritel Berdasarkan Pola Belanja Konsumen Dengan Market Basket Analysis (Studi Kasus: Indomaret Sukatani)". JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 8, n. 2 (26 maggio 2023): 119. http://dx.doi.org/10.36722/sst.v8i2.1375.

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During the pandemic in early 2020, consumer behavior in shopping at retail stores changed. Some of the main factors taken into consideration that can influence consumer shopping behavior are facilities, layout, and time spent shopping. This can affect product sales at Indomaret Sukatani which has an ineffective layout so that it is difficult for customers to reach and customers need to spend a long-time shopping. To solve these problems, it is necessary to do data mining using the Market Basket Analysis method with the Apriorist and FP-Growth Algorithm so that customer shopping patterns can be known in order to design new layouts. Then the effectiveness test can be done by calculating the rectilinear distance to find out the most optimal layout design, namely the layout design based on the FP-Growth Algorithm with the smallest total rectilinear distance value of 2353.5 in the first scenario, 2313 in the second scenario, and 1609.5 in the third scenario.Keywords – Customer Behaviour, Layout, Market Basket Analysis

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Mousavian, Elham, e Claudia Casapulla. "Joint Layout Design: Finding the Strongest Connections within Segmental Masonry Arched Forms". Infrastructures 7, n. 1 (9 gennaio 2022): 9. http://dx.doi.org/10.3390/infrastructures7010009.

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Segmental arched forms composed of discrete units are among the most common construction systems, ranging from historic masonry vaults to contemporary precast concrete shells. Simple fabrication, transport, and assembly have particularly made these structural systems convenient choices to construct infrastructures such as bridges in challenging environmental conditions. The most important drawback of segmental vaults is basically the poor mechanical behaviour at the joints connecting their constituent segments. The influence of the joint shape and location on structural performances has been widely explored in the literature, including studies on different stereotomy, bond patterns, and interlocking joint shapes. To date, however, a few methods have been developed to design optimal joint layouts, but they are limited to extremely limited geometric parameters and material properties. To remedy this, this paper presents a novel method to design the strongest joint layout in 2D arched structures while allowing joints to take on a range of diverse shapes. To do so, a masonry arched form is represented as a layout of potential joints, and the optimization problems developed based on the two plastic methods of classic limit analysis and discontinuity layout optimization find the joint layout that corresponds to the maximum load-bearing capacity.

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Zarea Fazlelahi, Forough, Mehrdokht Pournader, Mohsen Gharakhani e Seyed Jafar Sadjadi. "A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm". Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 230, n. 12 (8 agosto 2016): 2264–74. http://dx.doi.org/10.1177/0954405415615728.

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During the past few decades, developing efficient methods to solve dynamic facility layout problems has been focused on significantly by practitioners and researchers. More specifically meta-heuristic algorithms, especially genetic algorithm, have been proven to be increasingly helpful to generate sub-optimal solutions for large-scale dynamic facility layout problems. Nevertheless, the uncertainty of the manufacturing factors in addition to the scale of the layout problem calls for a mixed genetic algorithm–robust approach that could provide a single unlimited layout design. The present research aims to devise a customized permutation-based robust genetic algorithm in dynamic manufacturing environments that is expected to be generating a unique robust layout for all the manufacturing periods. The numerical outcomes of the proposed robust genetic algorithm indicate significant cost improvements compared to the conventional genetic algorithm methods and a selective number of other heuristic and meta-heuristic techniques.

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Luo, Ruifeng, Yifan Wang, Weifang Xiao e Xianzhong Zhao. "AlphaTruss: Monte Carlo Tree Search for Optimal Truss Layout Design". Buildings 12, n. 5 (11 maggio 2022): 641. http://dx.doi.org/10.3390/buildings12050641.

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Truss layout optimization under complex constraints has been a hot and challenging problem for decades that aims to find the optimal node locations, connection topology between nodes, and cross-sectional areas of connecting bars. Monte Carlo Tree Search (MCTS) is a reinforcement learning search technique that is competent to solve decision-making problems. Inspired by the success of AlphaGo using MCTS, the truss layout problem is formulated as a Markov Decision Process (MDP) model, and a 2-stage MCTS-based algorithm, AlphaTruss, is proposed for generating optimal truss layout considering topology, geometry, and bar size. In this MDP model, three sequential action sets of adding nodes, adding bars, and selecting sectional areas greatly expand the solution space and the reward function gives feedback to actions according to both geometric stability and structural simulation. To find the optimal sequential actions, AlphaTruss solves the MDP model and gives the best decision in each design step by searching and learning through MCTS. Compared with existing results from the literature, AlphaTruss exhibits better performance in finding the truss layout with the minimum weight under stress, displacement, and buckling constraints, which verifies the validity and efficiency of the established algorithm.

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Nenzhelele, Tshifhiwa, John Alfred Trimble, Jan Andriaan Swanepoel e Mukondeleli Grace Kanakana-Katumba. "MCDM Model for Evaluating and Selecting the Optimal Facility Layout Design: A Case Study on Railcar Manufacturing". Processes 11, n. 3 (14 marzo 2023): 869. http://dx.doi.org/10.3390/pr11030869.

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Facility layout in a manufacturing system is a complex production activity because decisions on layout design are influenced by numerous, ambiguous, and competing factors. This study proposes a method for determining and choosing an ideal layout using a hybridized Fuzzy Analytic Hierarchy Process (F-AHP) with the Fuzzy Technique for Order of Preference by Similarity to the Ideal Solution (F-TOPSIS). The F-AHP is used, in this case, because of its ability to generate design criteria weight. The railcar industrial case study results indicate that the developed model can effectively lead to selection of the most suitable facility layout design. The Discrete Event Simulation model is used to evaluate the performance of the suggested layout concepts with the purpose of determining quantitative criteria for use when selecting the most optimal concept by the proposed Fuzzy AHP-TOPSIS model. The proposed methodology demonstrated that a framework is a logical way to solve problems. The proposed Fuzzy AHP-TOPSIS methodology is capable of selecting the best layout concept based on the set decision criteria. Layout concept three was the best in terms of the closeness coefficient, which was more than 0.9 for both batching and non-batching processing.

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Shen, Yue, e Cheng Wang. "Optimisation of Garbage Bin Layout in Rural Infrastructure for Promoting the Renovation of Rural Human Settlements: Case Study of Yuding Village in China". International Journal of Environmental Research and Public Health 18, n. 21 (5 novembre 2021): 11633. http://dx.doi.org/10.3390/ijerph182111633.

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Optimising the layout of garbage bins is a requirement for improving the utilisation efficiency of rural infrastructure and continuously promoting the renovation of rural human settlements in China. This study selects Yuding Village in Chongqing, China, as the study area. The present distribution of garbage bins and the existing problems are analysed on the basis of interview materials and the point on interest data of garbage bins obtained from an on-the-spot investigation. Actor network theory (ANT) is suitable for small-scale micro research, and thus, this study uses ANT to construct a research framework for garbage bin layout optimisation. Then, it designs an optimisation path for the layout of garbage bins in Yuding Village by identifying different actors and their common interests, classifying the transformation of roles amongst various actors and building a stable heterogeneous network that can be used as a guide for determining the optimal spatial layout of garbage bins. This study combines a sociological theory with geospatial phenomena, providing a new idea for studying the optimal layout of infrastructure.

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Shafaee, Maziar, Parviz Mohammadzadeh, Abbas Elkaie e Saied Abbasi. "Layout design optimization of a space propulsion system using hybrid optimization algorithm". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, n. 2 (6 agosto 2016): 338–49. http://dx.doi.org/10.1177/0954410016636914.

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The layout design problem of a propulsion system is complex and time-consuming process. This is mainly due to geometrical and performance constraints and system requirements. In addition, layout design optimization of a space propulsion system is non-linear, non-convex, and multimodal, which makes it difficult to implement conventional optimization methods to this class of design problems. This paper presents a hybrid optimization algorithm using genetic algorithm and sequential quadratic programming for optimal layout design of a space propulsion system. Previous research works mainly focused on the layout design components with constant parts. However, the approach adopted in this paper involves both variable mass component and hybrid optimization algorithm (GA-SQP) of a space propulsion system. The proposed hybrid optimization algorithm explores globally the design search space to locate the most promising region using genetic algorithm, whereas gradient-based sequential quadratic programming algorithm is used to reduce the computational time with a high degree of accuracy. The results obtained show that the proposed method provides an effective way of solving layout design optimization problem using both variable mass components method and a hybrid optimization for optimal layout design of a space propulsion system.

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Magay, A. A., E. A. Bulgakova e S. A. Zabelina. "Organizing vertical layout environments: a forward-looking development strategy for high-rise building projects". E3S Web of Conferences 33 (2018): 01016. http://dx.doi.org/10.1051/e3sconf/20183301016.

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The article highlights issues surrounding development of high rise buildings. With the rapid increase of the global population there has been a trend for people to migrate into megacities and has caused the expansion of big city territories. This trend, coupled with the desire for a comfortable living environment, has resulted in numerous problems plaguing the megacity. This article proposes that a viable solution to the problems facing megacities is to create vertical layout environments. Potential options for creating vertical layout environments are set out below including the construction of buildings with atriums. Further, the article puts forth suggested spatial organization of the environment as well as optimal landscaping of high-rise buildings and constructions for the creation of vertical layout environments. Finally, the persuasive reasons for the adoption of vertical layout environments is that it will decrease the amount of developed urban areas, decrease traffic and increase environmental sustainability.

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Yuan, Quan, You Zhi Wang e Ye Gang Wang. "Rearch on the General Construction Layout of Tsingtao Bay Bridge". Applied Mechanics and Materials 357-360 (agosto 2013): 2426–29. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2426.

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Tsingtao Bay Bridge is the longest bridge spanning the sea in the world and the forerunner of large-scale sea-spanning bridges in China's northern frozen seas. Taking Tsingtao Bay Bridge as an example and combined with the practical project, this paper puts forward the basic principles of the general layout of large-scale sea-spanning bridges in China's northern frozen seas; develops the general layout of the marine bridge construction and corresponding research ideas, gives the optimal solution of the construction general layout and summarizes the advanced characteristics of the scheme; systematically summarizes the following problems of Tsingtao Bay Bridge in the general construction layout and gives the solutions. This paper could provide the reference for the general layout schemes of the following sea-crossing bridges.

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Isman Budiman e Siti Samsiyah Purwaningsih. "Inventory Management Through Information Systems Design And Warehouse Layout In Sans Boxer". Records Management System Journal 2, n. 1 (16 ottobre 2023): 22–34. http://dx.doi.org/10.62201/rmsj.v2i1.74.

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Inventory management is a crucial aspect in the business world. To achieve effective inventory management, a proper inventory information system is need. However, many companies, especially SMEs, still rely on conventional inventory management systems. Additionally, the layoutof storage also affects inventory control. The right layout can improve work efficiency and space utilization. Sans Boxer, an SME company engaged in clothing, faces ssues in inventory control. Some problems encountered include unrecorded transaction, innacurate stock information, limited storage, capacity, and difficulties in storing and retrieving items. To address these probles, a project was created for an inventory information and the design on storage layout. The inventory information system was develop as a Microsoft Access application designed using the PIECES method. Meanwhile, the sotrage layout was designed using the Shared Storage method, considering the available space for optimal utilization. This project resulted in an inventory information system based on Microsoft Access and a design for the storage layout. Based on the inventory system’s testing results, improvements were observed in inventory control, including enhanced employee performance, easier access to information, reduced inventory costs, better control, improved work efficiency, and enhanced customer service.The proposed storage layout design can increase the storage capacity to 4500 pcs, compared to the initial capacity of 1500 pcs. Keywords: Management, Inventory, Information System, Layout, Microsoft Access

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Bravo, Oscar, Mara Belmonte, Beatriz Oechler, Uriel Rovero, Rodrigo de Icaza e Froylan Franco. "LAYOUT OPTIMIZATION FOR A FACTORY OF A MEXICAN RECYCLING COMPANY". International Journal of Engineering Technologies and Management Research 6, n. 6 (27 marzo 2020): 146–65. http://dx.doi.org/10.29121/ijetmr.v6.i6.2019.404.

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The present format is an investigation of the principal problems found at the present time at a Mexican Recycling factory. Said problems were analyzed and the ones with greater urgency to be solved or with greater negative impact were selected. These selected problems were analyzed, measured and calculated to find the optimal solution or the best recommendation possible. A change in the current layout was done with the objective of optimizing the resources of the plant as decreasing costs and errors that create an inefficient productivity inside the plant. This recommendations in the accommodation will be replicable in the other plants the company has around the Mexican Republic

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SARASWATI, RAHAJU, ALI AZHAR, MUDJAHIDIN MUDJAHIDIN e DEDY KUNHADI. "PERANCANGAN GROUP TECHNOLOGY LAYOUT DI PT DPS SURABAYA DENGAN METODE SIMULASI DAN TAGUCHI". Jurnal Teknik Industri 12, n. 2 (18 febbraio 2012): 104. http://dx.doi.org/10.22219/jtiumm.vol12.no2.104-109.

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PT Dok dan Perkapalan Surabaya (DPS) is one of several strategic BUMN in marine field. With BUMN restructurisation and efficiency program from Government, PT DPS is liable to improve its production system efficiency. Many problems that faced by PT DPS to improve its production system efficiency are : (1)There is waste work shop such as work in process, waiting time, and flow time at fabrication process in PT DPS, (2) Because waste work shop is still big, shop production process efficiency has not reached maximally yet, (3)Layout and facilities of PT DPS today is already suitable with concept of Product Oriented Work Breakdown Structure (PBWS), but it is limited at simple construction form. At this research, there is ship production process design with Process Lane Construction and Zone Outfitting method or it is known with Group Technology Layout (Manufacturing Cell System) term in order to solve inefficiency problem at ship production process in PT DPS. Design process is performed by integrating Simulation method, Taguchi, Response Surface Methodology, and Analytical Hierarchy Process (AHP). Simulation method is used to model designed manufacturing cell system, meanwhile Taguchi method and Response Surface Methodology are used for experiment and optimization at manufacturing system simulation model. In order to measure the performanceof designed manufacturing cell system, multivariate measurement method is used, that is by measuring work in process, waiting time, and flow time with smaller the better criteria. Multi response becomes single response by using Analytical Hierarchy Process (AHP) method. From research result with Taguchi Method and Response Surface Methodology know that in fabrication stage optimal layout is second tipe, optimal set up time is 40 minutes, optimal lot size is 16 tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in subassembly stage optimal layout is first tipe, optimal set up time is 40 minutes, optimal lotsize is 10 tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in assembly stage optimal layout is first tipe, optimal set up time is 40 minutes, optimal lotsize is 6tons, optimal loading interval is 400 minutes, optimal demand stability is 92.5 %, in erection stage optimal layout is second tipe, optimal set up time is 40 minutes, optimal lot size is 6 tons, optimal loading interval is 480 minutes, optimal demand stability is 92.5 %.

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Sayeed, Q. A., e E. C. De Meter. "Mixed-Integer Programming Model for Fixture Layout Optimization". Journal of Manufacturing Science and Engineering 121, n. 4 (1 novembre 1999): 701–8. http://dx.doi.org/10.1115/1.2833111.

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Workpiece deformation during machining is a significant source of machined feature geometric error. This paper presents a linear, mixed integer programming model for determining the optimal locations of locator buttons, supports, and their opposing clamps for minimizing the affect of static workpiece deformation on machined feature geometric error. This model operates on discretized candidate regions as opposed to continuous candidate regions. In addition it utilizes a condensed FEA model of the workpiece in order to minimize model size and computation expense. This model has two advantages over existing nonlinear programming (NLP) formulations. The first is its ability to solve problems in which fixture elements can be placed over multiple regions. The second is that a global optimal solution to this model can be obtained using commercially available software.

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J Tampubolon, L D Agoestine Simangunsong, M D Agustina Sibuea e A C Sembiring and A Mardhatillah. "Prayer paper production facility layout redesign using systematic layout planning method and CRAFT". International Journal of Science, Technology & Management 1, n. 4 (30 novembre 2020): 448–56. http://dx.doi.org/10.46729/ijstm.v1i4.84.

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Abstract. The facility layout is a strategic design that is used for a long time. All manufacturing industries must pay attention to the right layout to increase the productivity of the industry. A prayer paper manufacturing industry located in the Tanjung Morawa area, Medan has an error in the placement of raw materials and the placement of production machines, so that the distance from the temporary warehouse to the printing and cutting work stations is far apart, causing high material handling costs. Seeing these problems, research was carried out to improve the layout of the facilities and redesign. The method used for this research is Systematic Layout Planning (SLP), which is one of the methods used to regulate a workplace in a factory by using two areas with high frequency and logical relationships with each other. And the Computerized Relative Allocation of Facilities Technique (CRAFT) Algorithm is a repair program, which is a program that looks for optimal design by making gradual improvements to the layout. CRAFT evaluates the layout by interchanging departmental locations. Inputs required for the CRAFT algorithm include initial layout, data flow or frequency of movement, cost data per unit distance, and the number of departments that do not change or remain. The CRAFT method is usually applied using Quantitative Systems (QS) software. By comparing the layout between SLP and CRAFT, the optimal result is obtained using the SLP method by reducing the distance between departments by 1.407 meters or a distance efficiency of 39.91%.

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Yin, Su, e Jonathan Cagan. "An Extended Pattern Search Algorithm for Three-Dimensional Component Layout". Journal of Mechanical Design 122, n. 1 (1 gennaio 2000): 102–8. http://dx.doi.org/10.1115/1.533550.

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An extended pattern search algorithm is introduced for efficient component layout optimization. The algorithm is applicable to general layout problems, where component geometry can be arbitrary, design goals can be multiple and spatial constraint satisfactions can be of different types. Extensions to pattern search are introduced to help the algorithm to converge to optimal solutions by escaping inferior local minima. The performance on all of the test problems shows that the algorithm runs one-to-two orders of magnitude faster than a robust simulated annealing-based algorithm for results with the same quality. The algorithm is further extended to solve a concurrent layout and routing problem, which demonstrates the ability of the algorithm to apply new pattern strategies in search and to include different objective functions in optimization. [S1050-0472(00)01901-2]

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Su, Jian Jiang, Chao Che, Qiang Zhang e Xiao Peng Wei. "Satellite Module Layout Design Based on Adaptive Bee Evolutionary Genetic Algorithm". Applied Mechanics and Materials 538 (aprile 2014): 193–97. http://dx.doi.org/10.4028/www.scientific.net/amm.538.193.

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The main problems for Genetic Algorithm (GA) to deal with the complex layout design of satellite module lie in easily trapping into local optimality and large amount of consuming time. To solve these problems, the Bee Evolutionary Genetic Algorithm (BEGA) and the adaptive genetic algorithm (AGA) are introduced. The crossover operation of BEGA algorithm effectively reinforces the information exploitation of the genetic algorithm, and introducing random individuals in BEGA enhance the exploration capability and avoid the premature convergence of BEGA. These two features enable to accelerate the evolution of the algorithm and maintain excellent solutions. At the same time, AGA is adopted to improve the crossover and mutation probability, which enhances the escaping capability from local optimal solution. Finally, satellite module layout design based on Adaptive Bee Evolutionary Genetic Algorithm (ABEGA) is proposed. Numerical experiments of the satellite module layout optimization show that: ABEGA outperforms SGA and AGA in terms of the overall layout scheme, enveloping circle radius, the moment of inertia and success rate.

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Ji, Jun, Yi Ping Lu, Jian Zhong Cha, Yao Dong Cui e Ling Jun Kong. "An Algorithm to Optimal Two-Stage Homogenous Strip Patterns of Rectangular Pieces". Advanced Materials Research 347-353 (ottobre 2011): 3189–92. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.3189.

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This paper presents an algorithm for two-stage homogenous strip patterns for rectangular pieces. The algorithm is appropriate for the shearing and punching process. It proposes the two-stage homogenous strip patterns that can be cut into homogenous strips in two stages, with another two stages being required to cut the strips into pieces. Firstly vertical cuts divide the stock sheet into segments, and then horizontal cuts divide the segments into homogenous strips. A homogenous strip contains pieces of the same type. The algorithm uses a dynamic programming recursion to determine the strip layout on each segment, solves knapsack problems to obtain the segment layout on the sheet. The algorithm is tested through benchmark problems, and compares with two famous algorithms. The pattern value and the computation speed of this paper’s algorithm are better than that of the classic two-stage algorithm. What’s more, this paper’s algorithm can give solutions very close to optimality.

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Alamiparvin, Raheleh, Esmaeil Mehdizadeh e Hamed Soleimani. "A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines". Complexity 2024 (12 marzo 2024): 1–28. http://dx.doi.org/10.1155/2024/6489087.

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One of the main concepts in group technology (GT) is the cellular manufacturing system (CMS) with three main problems of cell formation (CF), cell layout (CL), and cell scheduling (CS). This paper studies the cell layout problem (CLP), aiming to find the optimal layout of machines within each cell (intracellular layout) and the optimal layout of cells in each workshop (intercellular layout). To adapt to reality, the dimensions of the cells and machines (inside each cell) were considered unequal, and also the cells and machines could rotate. We believe that a cellular layout that assumes unequal dimensions of the cells and machines can be used for batch production. This kind of production has a wide variety of low to medium demand. Furthermore, a cellular layout can be applied in CMSs and also in noncontinuous industries that have a job shop layout. Our main contribution is considering the possibility of rotating the cells and machines inside the cells. For this purpose, a mixed nonlinear programming model was developed to solve the CLP with the minimum cost of intracellular and intercellular material flows. The proposed nonlinear model was first converted into a linear model, and then a problem was generated and solved with GAMS software to validate the resulting linear model. This model finds the best layout of cells within the workshop and the best layout of machines inside each cell. Then, because of the NP-hardness of the CLP and the fact that even exact methods cannot solve large-scale examples in an acceptable computational time, an imperialist competitive algorithm (ICA) was designed and used to solve the problem. To evaluate the efficiency of the proposed algorithm, its numerical results in small dimensions were compared with the results of GAMS software. In large dimensions, 30 random problems were created, and the results of ICA were compared with the results of the particle swarm optimization (PSO) algorithm and genetic algorithm (GA). Finally, the parameters of the three meta-heuristic algorithms were set by the Taguchi method. Numerical results indicated that ICA was superior to both the PSO algorithm and GA. It could also achieve efficient solutions in a shorter computational time.

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Tran, Bong Dang, Tuan Ngoc Pham, Nguyen Dai Tran e Tuan Minh Ho. "GODOGRAPH OF STRIP LAYOUT OF IRREGULAR SHAPES CUTTING FROM SHEET". Science and Technology Development Journal 12, n. 13 (15 luglio 2009): 77–84. http://dx.doi.org/10.32508/stdj.v12i13.2332.

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In this paper, we studied themethod of creating the godograph, which is a set of polar points of parts in marking diagrams when cutting sheet materials. Based on this study, mathematical models, algorithms, computer software are created to solve optimal nesting problems and automize cutting processes with the objective of saving material and increasing cutting productivity in footwear industry.

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Казмерчук, П. В., e Л. В. Вернигора. "The Method of Linearization in optimization problems of low thrust spacecraft trajectories. Optimal nodes layout". Вестник НПО им. С.А. Лавочкина, n. 4(54) (3 dicembre 2021): 10–14. http://dx.doi.org/10.26162/ls.2021.54.4.002.

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В статье рассмотрена возможность совместной оптимизации управления КА с малой тягой и размещения узлов аппроксимирующей управление функции при использовании модифицированного метода линеаризации he article considers the possibility of joint optimization of the control of a low-thrust spacecraft and the layout of nodes approximating the control function using a modified linearization method

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Padrón, Andrés Santiago, Jared Thomas, Andrew P. J. Stanley, Juan J. Alonso e Andrew Ning. "Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization". Wind Energy Science 4, n. 2 (8 maggio 2019): 211–31. http://dx.doi.org/10.5194/wes-4-211-2019.

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Abstract. In this paper, we develop computationally efficient techniques to calculate statistics used in wind farm optimization with the goal of enabling the use of higher-fidelity models and larger wind farm optimization problems. We apply these techniques to maximize the annual energy production (AEP) of a wind farm by optimizing the position of the individual wind turbines. The AEP (a statistic) is the expected power produced by the wind farm over a period of 1 year subject to uncertainties in the wind conditions (wind direction and wind speed) that are described with empirically determined probability distributions. To compute the AEP of the wind farm, we use a wake model to simulate the power at different input conditions composed of wind direction and wind speed pairs. We use polynomial chaos (PC), an uncertainty quantification method, to construct a polynomial approximation of the power over the entire stochastic space and to efficiently (using as few simulations as possible) compute the expected power (AEP). We explore both regression and quadrature approaches to compute the PC coefficients. PC based on regression is significantly more efficient than the rectangle rule (the method most commonly used to compute the expected power). With PC based on regression, we have reduced on average by a factor of 5 the number of simulations required to accurately compute the AEP when compared to the rectangle rule for the different wind farm layouts considered. In the wind farm layout optimization problem, each optimization step requires an AEP computation. Thus, the ability to compute the AEP accurately with fewer simulations is beneficial as it reduces the cost to perform an optimization, which enables the use of more computationally expensive higher-fidelity models or the consideration of larger or multiple wind farm optimization problems. We perform a large suite of gradient-based optimizations to compare the optimal layouts obtained when computing the AEP with polynomial chaos based on regression and the rectangle rule. We consider three different starting layouts (Grid, Amalia, Random) and find that the optimization has many local optima and is sensitive to the starting layout of the turbines. We observe that starting from a good layout (Grid, Amalia) will, in general, find better optima than starting from a bad layout (Random) independent of the method used to compute the AEP. For both PC based on regression and the rectangle rule, we consider both a coarse (∼225) and a fine (∼625) number of simulations to compute the AEP. We find that for roughly one-third of the computational cost, the optimizations with the coarse PC based on regression result in optimized layouts that produce comparable AEP to the optimized layouts found with the fine rectangle rule. Furthermore, for the same computational cost, for the different cases considered, polynomial chaos finds optimal layouts with 0.4 % higher AEP on average than those found with the rectangle rule.

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Benitez, Guilherme B., Giovani J. C. Da Silveira e Flavio S. Fogliatto. "Layout Planning in Healthcare Facilities: A Systematic Review". HERD: Health Environments Research & Design Journal 12, n. 3 (9 giugno 2019): 31–44. http://dx.doi.org/10.1177/1937586719855336.

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This study presents a systematic review of the literature on layout planning in healthcare facilities. The review includes 81 articles from journals, conferences, books, and other documents. Articles were classified in two groups according to their main contents including (i) concepts and guidelines and (ii) techniques and tools to assist in layout planning in healthcare facilities. Results indicate that a great variety of concepts and tools have been used to solve layout problems in healthcare. However, healthcare environments such as hospitals can be complex, limiting the ability to obtain optimal layout solutions. Influential factors may include the flows of patients, staff, materials, and information; layout planning and implementation costs; staff and patients safety and well-being; and environmental contamination, among others. The articles reviewed discussed and often proposed solutions covering one or more factors. Results helped us to propose future research directions on the subject.

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Takkala, Rohit Reddy, e Chris Chu. "CHIP: Clustering Hotspots in Layout Using Integer Programming". Journal of Electrical and Computer Engineering 2019 (17 gennaio 2019): 1–12. http://dx.doi.org/10.1155/2019/9430593.

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Clustering algorithms have been explored in recent years to solve hotspot clustering problems in integrated circuit design. With various applications in design for manufacturability flow such as hotspot library generation, systematic yield optimization, and design space exploration, generating good quality clusters along with their representative clips is of utmost importance. With several generic clustering algorithms at our disposal, hotspots can be clustered based on the distance metric defined while satisfying some tolerance conditions. However, the clusters generated from generic clustering algorithms need not achieve optimal results. In this paper, we introduce two optimal integer linear programming formulations based on triangle inequality to solve the problem of minimizing cluster count while satisfying given constraints. Apart from minimizing cluster count, we generate representative clips that best represent the clusters formed. We achieve a better cluster count for both formulations in most test cases as compared to the results published in the literature in the ICCAD 2016 contest benchmarks as well as the reference results reported in the ICCAD 2016 contest website.

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Wang, Ligang, Zhiping Yang, Shivom Sharma, Alberto Mian, Tzu-En Lin, George Tsatsaronis, François Maréchal e Yongping Yang. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants". Energies 12, n. 1 (27 dicembre 2018): 73. http://dx.doi.org/10.3390/en12010073.

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To reach optimal/better conceptual designs of energy systems, key design variables should be optimized/adapted with system layouts, which may contribute significantly to system improvement. Layout improvement can be proposed by combining system analysis with engineers’ judgments; however, optimal flowsheet synthesis is not trivial and can be best addressed by mathematical programming. In addition, multiple objectives are always involved for decision makers. Therefore, this paper reviews progressively the methodologies of system evaluation, optimization, and synthesis for the conceptual design of energy systems, and highlights the applications to thermal power plants, which are still supposed to play a significant role in the near future. For system evaluation, both conventional and advanced exergy-based analysis methods, including (advanced) exergoeconomics are deeply discussed and compared methodologically with recent developments. The advanced analysis is highlighted for further revealing the source, avoidability, and interactions among exergy destruction or cost of different components. For optimization and layout synthesis, after a general description of typical optimization problems and the solving methods, the superstructure-based and -free concepts are introduced and intensively compared by emphasizing the automatic generation and identification of structural alternatives. The theoretical basis of the most commonly-used multi-objective techniques and recent developments are given to offer high-quality Pareto front for decision makers, with an emphasis on evolutionary algorithms. Finally, the selected analysis and synthesis methods for layout improvement are compared and future perspectives are concluded with the emphasis on considering additional constraints for real-world designs and retrofits, possible methodology development for evaluation and synthesis, and the importance of good modeling practice.

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Li, Qin, Guang Chun Yang e Xin De Chen. "Study on Facility Layout of a Manufacturing Shop Based on SLP Method". Applied Mechanics and Materials 220-223 (novembre 2012): 127–31. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.127.

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Aimed at the production technological process, analysis has been carried out on the current situation of workshop layout, and find out the existed problems; Systematic Layout Planning (SLP) method is exerted to analyze the workshop concerning relationship between logistics and non-logistics, draw out correlation diagram of location of working unit and correlation diagram of area of working unit. Two optimum proposals are determined according to the realistic of workshop, and weighting factor method is adopted for evaluation, thus obtain the optimal layout proposal. So that aims are achieved for workshop like shorter logistics route, effectively usage of space and resource, improvement of working environment and improvement of production efficiency of enterprises.

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Yao, Gang, Rui Li e Yang Yang. "An Improved Multi-Objective Optimization and Decision-Making Method on Construction Sites Layout of Prefabricated Buildings". Sustainability 15, n. 7 (6 aprile 2023): 6279. http://dx.doi.org/10.3390/su15076279.

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Construction site layout planning (CSLP) that considers multi-objective optimization problems is essential to achieving sustainable construction. Previous CSLP optimization methods have applied to traditional cast-in-place buildings, and they lack the application for sustainable prefabricated buildings. Furthermore, commonly used heuristic algorithms still have room for improvement regarding the search range and computational efficiency of optimal solution acquisition. Therefore, this study proposes an improved multi-objective optimization and decision-making method for layout planning on the construction sites of prefabricated buildings (CSPB). Firstly, the construction site and temporary facilities are expressed mathematically. Then, relevant constraints are determined according to the principles of CSLP. Ten factors affecting the layout planning on the CSPB are identified and incorporated into the method of layout planning on the CSPB in different ways. Based on the elitist non-dominated sorting genetic algorithm (NSGA-II), an improved multiple population constraint NSGA-II (MPC-NSGA-II) is proposed. This introduces the multi-population strategy and immigration operator to expand the search range of the algorithm and improve its computational efficiency. Combined with the entropy weight and technique for order preference by similarity to an ideal solution (TOPSIS), improved multi-objective optimization and decision for the CSLP model is developed on the CSPB. Practical cases verify the effectiveness and superiority of the algorithm and model. It is found that the proposed MPC-NSGA-II can solve the drawbacks of the premature and low computational efficiency of NSGA-II for multi-constrained and multi-objective optimization problems. In the layout planning on the CSPB, the MPC-NSGA-II algorithm can improve the quality of the optimal solution and reduce the solution time by 75%.

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Fadillah, Muhammad Rafii, e Fakhrina Fahma. "Re-Layout Design of the Kalus 1.6 Warehouse Using the Class-Based Storage Method at PT XYZ". Performa: Media Ilmiah Teknik Industri 22, n. 2 (30 settembre 2023): 158. http://dx.doi.org/10.20961/performa.22.2.82225.

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PT XYZ is a company engaged in the electricity sector, where the main tasks are to produce, distribute, and provide electricity to the public. PT XYZ has Distribution Parent Units, such as the Greater Jakarta Distribution Parent Unit, which is responsible for distributing electricity in Jakarta and electrical equipment such as Miniature Circuit Breakers (MCB), Molded Case Circuit Breakers (MCCB), Kilowatt Hour (kWh) Meters, and others. Problems that exist in the Kalus Warehouse 1.6 of PT XYZ include the placement of goods that are less organized and the First In First Out (FIFO) system has not been running properly. This research aims to see the application of the fishbone diagram and class-based storage method in the Kalus Warehouse 1.6 of PT XYZ which previously still used a randomized storage system, namely the placement of goods randomly in any available space. The method used is to determine the cause of the problems that have been mentioned, design a layout with a minimum total displacement distance and optimize the allocation of types of goods. Based on the ranking of T/S calculation results, 2 proposed layouts were generated. Then, the two layouts are compared to find the most suitable warehouse layout which is the optimal condition with a decrease in rectlinear travel distance which is greater than the existing travel distance. to be applied to the Kalus Warehouse 1.6 of PT XYZ.

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Ding, Xiao Hong, e Guo Jie Li. "Topology Design Optimization of Rib Layout in Box Structure". Advanced Materials Research 97-101 (marzo 2010): 3531–35. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3531.

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Topology design optimization method of rib layout in box structure is studied by utilizing the structural topology design optimization approach. The box structure is simplified to a hollow box with some parallel bars, two ends of which are connected with the outer loaded panel and the supported panel. The outer loaded panel is set to be the optimal design area, and the density method is applied to solve the topology optimization problem. The optimal material layout of the outer loaded panel decides the existence of the inside bars, and the existed bars form the rib plates. The validity of the suggested method is verified by some typical design problems. The results show that the obtained box structures have much better mechanical and economical performances by comparing with traditional structures, and because the 3-dimentional design problem is changed to a 2-dimentional problem reasonably, the suggested method is effective and has low computational cost.

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