Artículos de revistas: "Production cell simulation"

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Olsen, Dres Foged, John Bagterp Jørgensen, John Villadsen y Sten Bay Jørgensen. "Modeling and Simulation of Single Cell Protein Production". IFAC Proceedings Volumes 43, n.º 6 (2010): 502–7. http://dx.doi.org/10.3182/20100707-3-be-2012.0099.

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Zhang, Xiao Dong, Dong Fang Zhao, Xun De Xie y Tian Yu. "Simulation and Analysis of a Motorcycle Engine Production Cell". Key Engineering Materials 467-469 (febrero de 2011): 1511–15. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1511.

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The performance of production cell for motorcycle engine parts is critical for the competitive capacity of motorcycle products. In order to meet the maximum beneficial result with minimum cost, simulation approach is applied to find the best improvement scheme of the production cell. Performance indicators including rate of comprehensive utilization of equipment and rate of utilization of workers are established. Two different production schemes are analyzed based on work study. Flexsim simulation software was used to simulate and evaluate the schemes. The comparative simulation results show that simulation provides an effective way to find the best improvement scheme by evaluating overall performance of the production cell, instead of partial performance evaluation by traditional work study methods.

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Du, Yi y Qing Xin Chen. "The Model and Simulation of SMT Production". Applied Mechanics and Materials 217-219 (noviembre de 2012): 1493–96. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.1493.

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Because of product variety of small electronic products enterprises,Their equipment is in condition of half stop production, resulting in the waste of equipment and personnel. Canon cell production from mixed line production mode innovation out of a new way of production, applicable to the production equipment is not too big, need manual operation of the production. This paper tells small batch orders and the premise, split mixed line composed of Canon cell production to improve production efficiency, reduce the cost. It gives the mathematical model and the simulation results.

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Thongnuch, Suthida, Alexander Fay y Rainer Drath. "Semi-automatic generation of a virtual representation of a production cell". at - Automatisierungstechnik 66, n.º 5 (25 de mayo de 2018): 372–84. http://dx.doi.org/10.1515/auto-2017-0108.

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Abstract Nowadays there are commercial tools and academic solutions that support and contribute to Virtual Commissioning (VC). However, the main obstacle which hinders the broader application of VC in practice is the modeling time and effort required to create a proper simulation model. The modeling is also separated from the current project development lifecycle. This paper presents a semi-automatic method to transform the 3D geometry model of a production cell into a simulation-enabled virtual representation (i. e., a high fidelity simulation model of the cell). The geometry is combined with dynamic behavior which is a behavior description modeled intuitively based on VDI 2860. The entire method is embedded into a virtual commissioning workflow and is exemplified by a production cell with conveyors. Several commercial modeling and simulation tools are used and combined in the workflow to demonstrate the applicability. The presented methodology bases on AutomationML.

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Fischer, Gerd, Kerstin Strauch, Torsten Weber, Matthias Müller, Franziska Wolny, Roman Schiepe, Alexander Fülle et al. "Simulation based Development of Industrial PERC Cell Production beyond 20.5% Efficiency". Energy Procedia 55 (2014): 425–30. http://dx.doi.org/10.1016/j.egypro.2014.08.122.

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Matúšová, Miriam, Erika Hrušková y Karol Velíšek. "Analyse of Flexible Assembly Cell via Software Witness". Applied Mechanics and Materials 120 (octubre de 2011): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amm.120.65.

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This Computer simulation models allow to solve the problems by their complexity beyond the capacity of other mathematical and analytical methods. WITNESS is suitable software for simulation and optimization of production, service and logistics systems.

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Matsuda, Keishi y Hidenori Ishihara. "Application of Mobile Robot System for Cell Production". Applied Mechanics and Materials 300-301 (febrero de 2013): 566–71. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.566.

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In this paper, we have discussed on the performance of the knowledge sharing for the multiple robot system which is equipped with the advanced telecommunication devices. This has enabled the mobile robots to perform advanced communication. We propose the utilization of the knowledge sharing robot system at manufacturing scenes, and demonstrate the performance by a simplified simulation. Applying this knowledge sharing system, which helps to improve the balance of the line, the improvement of the productivity and quality was observed. Consequently, the cost reduction and improvement of the efficiency shall be expected by introducing more sophisticated algorithm of knowledge sharing and distribution.

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Arnault, B. y T. Soriano. "Towards an experimental simulation platform for the optimisation of a production cell". IFAC Proceedings Volumes 43, n.º 17 (2010): 132–38. http://dx.doi.org/10.3182/20100908-3-pt-3007.00027.

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Leonas, Liudas y Stepas Janušonis. "Simulation of Self Formation in Solar Cell Technology". Solid State Phenomena 97-98 (abril de 2004): 103–8. http://dx.doi.org/10.4028/www.scientific.net/ssp.97-98.103.

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Relatively high cost of energy produced by solar cells prevents them from being used widely. One of the ways to address this problem is to create new, cost efficient solar cell production technologies. This presentation analyzes how, by applying self-formation principles it is possible to decrease number of photolithography processes used in high efficiency solar cell production, thus significantly reducing the cost of solar cell itself. All known planar technologies can be described based on self-formation principles; new microchip and integrated circuit technologies were created using self-formation as well. It is therefore natural to extend self-formation to solar cell technology. This presentation provides specific aspects of self-formation simulation as related to solar-cell technology. The object of the simulation is a cross-section of solar cell in two-dimensional Euclidean space and it.s evolution over time. Such kind of solar cell approximation simplifies the model, yet keeps all essential characteristics of the solar cell. The cross-section contains geometrical figures which approximate objects in the solar cell. Each figure is assigned with an integer parameter, approximating physical material. According to self-formation principles, evolution of each figure depends only on geometrical configuration of the figure itself, the parameter and interaction rules. Interaction rules define change of neighbouring points and approximate technological processes (etching, oxidation, coating etc). Combination of such processes enables construction of required solar cell configuration, with only minimum use of photolithography processes. Self-formation is simulated by two-dimensional 8-neighbour cellular automata based mechanism.

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Gunnarsson, Helene, Mikael Rönnqvist y Dick Carlsson. "Integrated Production and Distribution Planning for Södra Cell AB". Journal of Mathematical Modelling and Algorithms 6, n.º 1 (27 de octubre de 2006): 25–45. http://dx.doi.org/10.1007/s10852-006-9048-z.

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Zhang, Xiao Dong, Tian Yu, Xun De Xie y Dong Fang Zhao. "A Comparative Simulation of Organizational Strategies in Production Cells Based on Agent Model". Advanced Materials Research 186 (enero de 2011): 489–93. http://dx.doi.org/10.4028/www.scientific.net/amr.186.489.

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In order to simulate the impact of organizational strategy on production cell, agent model of workers was developed and integrated into the production model. An agent-based human-machine collabrative simulation method for production cells was proposed. Structure and modeling steps of the simulation were studied, the proposed simulation method was applied in a motorcycle engine box production cell, and the system performance under the two different organizational strategies ‘specialized division of labor’ and ‘multi-skill team’ was compared. The results indicate that the agent-based simulation method can simulate the organizational strategy in production cells, and provide a new way to study affecting mechanism of different organizational strategies on prodution cells.

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Bessonov, N., F. Crauste, S. Fischer, P. Kurbatova y V. Volpert. "Application of Hybrid Models to Blood Cell Production in the Bone Marrow". Mathematical Modelling of Natural Phenomena 6, n.º 7 (2011): 2–12. http://dx.doi.org/10.1051/mmnp/20116701.

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Dumitru, Constantin, Violeta Dumitru y Daniel Popescu. "Optimization by Simulation of Fabrication in Manufacturing Robotized Systems". Advanced Materials Research 463-464 (febrero de 2012): 1133–36. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1133.

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This work proposes the optimization by simulation of fabrication in manufacturing robotized systems, designing in principle of a flexible fabrication cell composed of many modules (centering, turning, etc) for machining of a product family, cell that is to be operated by an industrial robot whose purpose is the handling of parts within it (transport of parts among the cell modules). The production task shall be reviewed first, within which the typological nucleus to be machined, using the mathematic theory of utilities. The next step consists in determining the static configuration of the MRS in order to set the type and number of modules-operation using the mathematic modeling. Through the method of fictive ranges it shall be calculated the cost of the flexible production systems and it shall be determined the spatial arrangement of processing modules from MRS.

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LYNCH, S. "ANALYSIS OF A BLOOD CELL POPULATION MODEL". International Journal of Bifurcation and Chaos 15, n.º 07 (julio de 2005): 2311–16. http://dx.doi.org/10.1142/s0218127405013186.

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The discrete dynamics of a blood cell population model are investigated in terms of bistability, instability and chaos. For the first time, the nonlinear model of blood cell production and destruction is investigated with a feedback mechanism incorporated. Numerical simulations demonstrate that the population of blood cells is dependent upon the history of the system, and upon whether parameters (destruction and production rates) are increasing or decreasing. The system also exhibits complex dynamics, such as period-bubbling, and period-doubling and undoubling routes to and from chaos. Some clinical examples are cited in the paper.

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Alfonsín, Víctor, Andrés Suárez, Rocío Maceiras, Ángeles Cancela y Ángel Sánchez. "Simulation of a hydrogen hybrid battery-fuel cell vehicle". DYNA 82, n.º 194 (21 de diciembre de 2015): 9–14. http://dx.doi.org/10.15446/dyna.v82n194.42511.

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This paper describes a vehicle simulation toolbox developed under Matlab® environment, which can be used to estimate the range of a vehicle battery, or a fuel cell/battery hybrid system. The model is function of mechanical and physical variables that depend not only on the vehicle but also on the ground. This toolbox can be extended to GPS tracking files by means of reading data file plug-ins. Even standard drive cycles can be simulated. Battery and hydrogen consumption, hydrogen storage tank level, battery state of charge, power consumption and fuel cell energy production, maximum range and maximum number of cycles for a real route can be determined. The model facilitates the prediction of the vehicle range and the hydrogen and energy consumption. Real route simulation gives a good approximation of the vehicle speed close to real-life services instead of using driving cycles that are quite arbitrary approximations to a real route.

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Wutthithanyawat, Chananchai y Nawadee Srisiriwat. "Autothermal Reforming of Ethanol for Hydrogen Production: Modeling and Simulation". Applied Mechanics and Materials 541-542 (marzo de 2014): 108–12. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.108.

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Autothermal reforming (ATR), which is the combination of endothermic steam reforming and exothermic partial oxidation, is an attractive process to produce hydrogen using for transportation fuel cell because of its moderate size. ATR is considered to be thermally self-sustaining that the external heat source is not required. In order to keep the adiabatic temperature of ATR reactor, the process control strategy needs in understanding the dynamic characteristics of the ATR system. Thus, the modeling and simulation of ATR process for hydrogen production fueled by ethanol is carried out in this work. The open loop responses of the feed and ATR temperatures are simulated by the dynamic models of ATR system. The simulation results showed the predominantly influence of the electrical power of preheater on the feed and ATR temperatures while the air flowrate has an inverse effect on the feed temperature and a direct effect on the ATR temperature. As a result, the match of control loop is very sensible for an effective control strategy in the development of control system design for maintaining the adiabatic temperature of ATR reactor for sustaining the effectiveness of hydrogen production.

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Roberts, Rory A., Jack Brouwer, Eric Liese y Randall S. Gemmen. "Dynamic Simulation of Carbonate Fuel Cell-Gas Turbine Hybrid Systems". Journal of Engineering for Gas Turbines and Power 128, n.º 2 (1 de abril de 2006): 294–301. http://dx.doi.org/10.1115/1.1852565.

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Hybrid fuel cell/gas turbine systems provide an efficient means of producing electricity from fossil fuels with ultra low emissions. However, there are many significant challenges involved in integrating the fuel cell with the gas turbine and other components of this type of system. The fuel cell and the gas turbine must maintain efficient operation and electricity production while protecting equipment during perturbations that may occur when the system is connected to the utility grid or in stand-alone mode. This paper presents recent dynamic simulation results from two laboratories focused on developing tools to aid in the design and dynamic analyses of hybrid fuel cell systems. The simulation results present the response of a carbonate fuel cell/gas turbine, or molten carbonate fuel cell/gas turbine, (MCFC/GT) hybrid system to a load demand perturbation. Initial results suggest that creative control strategies will be needed to ensure a flexible system with wide turndown and robust dynamic operation.

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Coudurier, J. F. "Flexible production organization of workpiece movement". Robotica 4, n.º 1 (enero de 1986): 33–36. http://dx.doi.org/10.1017/s0263574700002459.

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SUMMARYThe flexible turning cell developed at CETIM has enabled us, among other things, to investigate how the movement of workpieces could be organized in flexible production cells.The very design of flexible cells leads to the following questions about the manufacturing process to be considered: – type of product, – type of operational side, – type of management/control, – type of data transmission.These questions are answered by calling upon group technology for both the product and operational sides, and upon simulation to define precisely the operational side, and the type of management/control and data transmission system to be used.For simple cells (i.e. those with few work-stations) the system can be analyzed in detail without resorting to simulation. Thus equipment limitations such as those set by robot control can be taken into account to analyze the possibilities to interlink numerous different paths.With this approach simpler real-time operation can be implemented. It also permits handling operations on different types of workpieces (i.e. of different shape and sequence) simultaneously.

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Hirsch, H. R. y M. Witten. "The waste-product theory of aging: Simulation of metabolic waste production". Experimental Gerontology 26, n.º 6 (enero de 1991): 549–67. http://dx.doi.org/10.1016/0531-5565(91)90073-u.

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Zhao, Dong Fang, Xiao Dong Zhang, Chen Jian Gong y Cui Cui Wang. "Human Error Simulation of Manufacturing Cell Based on Human-Machine Integrated Model". Applied Mechanics and Materials 644-650 (septiembre de 2014): 3270–74. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3270.

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In order to analyze human error how to have effect on manufacturing cell and improve manufacturing efficiency from operators’ point of view, manufacturing cell human error simulation model based on the principle of human-machine integrated is proposed firstly. The realized process of manufacturing cell simulation model is detailed described. After that, human behaviors in manufacturing cell were analyzed and realization mechanisms of main model were introduced. Finally, applied above model and theory in a motorcycle manufacturing cell and simulated various human errors. The simulation result shows that human errors have significant effect on evaluating manufacturing cell performance and the influence degree increased along with the possibility of human make errors. As a result, different production mode should be adopted according to different configuration scheme of organization and personnel stability.

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Krajčová, Katarína, František Pecháček y Karol Velíšek. "Organizational Machines Layout and the Application of Individual Features on the Specific Production Respectively Assembly through the Simulation". Advanced Materials Research 479-481 (febrero de 2012): 508–11. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.508.

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The great emphasis is currently placed on the optimal layout of individual workplaces and machines in the issue of production and production logistics. It is possible to achieve by the selecting an appropriate organizational layout form of machines and devices. There are several layout forms – technological, subject, free, modular and cellular. The paper is focused on clarifying the basic features and differences of individual machines layout and on the application these features on the specific production of certain part type through the simulation in the simulation program. There are several programs, which are used on the production simulation, for example: Plant Simulation, Simul 8, Witness etc. Witness program is the world recognized program. The utilization of individual machines layout is possible to determine by the using of this program. The simulation of production system is possible to use in the assembly system. The similar problem is solving in a project VEGA 1/0206/09 / Intelligent assembly cell.

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Ma, Tao, Ming Qi Chen, Jian Wang y Ping Ma. "Study on the Simulation Model of the Production Capacity Decision in Hydrogen Fuel Cell Vehicles Industry". Applied Mechanics and Materials 236-237 (noviembre de 2012): 197–202. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.197.

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Effective utilization and expansion of production capacity has crucial cost implications, and arguably drives the profitability of the operation in the hydrogen fuel cell vehicles (HFCVs) industry. We develop a production capacity model for a HFCVs manufacturer decision, which is expressed by the market and the assumptions of information usage. From three factors of equipment construction, the rapid advancement of the HFCV technology and the inconsistent between the manufacturing capacity and the effective capacity, we expressed the basic mathematic descriptions of question. Then the computing model is programmed in the EXCEL interface. After the operation of the simulation, the different scenarios show that demand and capacity variability has clear impaction on the decision. The observation provides perception on the production capacity decision in HFCVs industry as capacity expansion and the cell technologies arise. Both result in different cost type and the cost of the transition. It also implicates that not the computer simulation but the information technology application are important to improve the industry decisions.

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Hernández Rodríguez, Tanja, Sophie Morerod, Ralf Pörtner, Florian M. Wurm y Björn Frahm. "Considerations of the Impacts of Cell-Specific Growth and Production Rate on Clone Selection—A Simulation Study". Processes 9, n.º 6 (28 de mayo de 2021): 964. http://dx.doi.org/10.3390/pr9060964.

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For the manufacturing of complex biopharmaceuticals using bioreactors with cultivated mammalian cells, high product concentration is an important objective. The phenotype of the cells in a reactor plays an important role. Are clonal cell populations showing high cell-specific growth rates more favorable than cell lines with higher cell-specific productivities or vice versa? Five clonal Chinese hamster ovary cell populations were analyzed based on the data of a 3-month-stability study. We adapted a mechanistic cell culture model to the experimental data of one such clonally derived cell population. Uncertainties and prior knowledge concerning model parameters were considered using Bayesian parameter estimations. This model was used then to define an inoculum train protocol. Based on this, we subsequently simulated the impacts of differences in growth rates (±10%) and production rates (±10% and ±50%) on the overall cultivation time, including making the inoculum train cultures; the final production phase, the volumetric titer in that bioreactor and the ratio of both, defined as overall process productivity. We showed thus unequivocally that growth rates have a higher impact (up to three times) on overall process productivity and for product output per year, whereas cells with higher productivity can potentially generate higher product concentrations in the production vessel.

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Liu, Yang, Lixing Zhou y Youngju Zhang. "Numerical Simulation of Bubble-Liquid Two-Phase Turbulent Flows in Shallow Bioreactor". Energies 12, n.º 12 (13 de junio de 2019): 2269. http://dx.doi.org/10.3390/en12122269.

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An improved second-order moment bubble-liquid two-phase turbulent model is developed to predict the hydrodynamic characteristics of the shallow bioreactor using two height-to-diameter ratios of H/D = 1.4 and H/D = 2.9. The two-phase hydrodynamic parameters, the bubble normal and shear stress, the bubble energy dissipation rate, the bubble turbulent kinetic energy, etc. were numerically simulated. These parameters increased along with flow direction and constituted a threat to cells living at far distance away from the gas jetting inlet regions, rather than a finding of higher cell damage at near the jetting inlet region, as reported by Babosa et al. 2003. A new correlation named the turbulent energy production of bubble-liquid two-phase flow was proposed to successfully verify this experimental observation. A smaller H/D ratio makes more contributions to the generation of lower turbulent energy productions, which are in favor of the alleviation of cell damage. The extremely long and narrow shape of the bioreactor is deteriorative for cell living.

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Lattyak, Colleen, Volker Steenhoff, Kai Gehrke, Martin Vehse y Carsten Agert. "Two-Dimensional Absorbers for Solar Windows: A Simulation". Zeitschrift für Naturforschung A 74, n.º 8 (27 de agosto de 2019): 683–88. http://dx.doi.org/10.1515/zna-2019-0134.

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AbstractIn the future, many modern buildings may rely on solar windows for energy production. Large buildings often have glass facades that have the potential to convert sunlight to electrical power. The standard photovoltaic materials used today are bulky and not transparent, making them poor candidates for solar windows. Transition metal dichalcogenides (TMDCs) and other two-dimensional absorbers are a good alternative because of their unique properties and high transparency at the monolayer and few-layer regime. This work shows the potential for TMDC-based solar windows by simulating the transmission, quantum efficiency, current density, and colour appearance of different solar cell configurations. Different contacts were investigated, along with the influence of contact thickness, to demonstrate colour-neutral solar cells. In addition, four TMDC materials were compared: MoS2, MoSe2, WS2, and WSe2. Colour-neutral solar cells with transparencies of 35 % to 55 % are presented, where a current density of 8.33 mA/cm2 was calculated for a solar cell with a 5-nm absorbing layer of MoSe2. While there are still challenges to overcome in terms of production, our simulations show that it is possible to use TMDCs for colour-neutral solar windows and act as a guideline for further research.

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Mariño, Oscar, Felipe Muñoz y Wolfram Jahn. "Soot production modelling for operational computational fluid dynamics fire simulations". Journal of Fire Sciences 38, n.º 3 (1 de marzo de 2020): 284–308. http://dx.doi.org/10.1177/0734904120905579.

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With the aim of minimising the losses produced by fire accidents, fire engineering applies physics and engineering principles to preserve the integrity of people, environment and infrastructure. Fire modelling is complex due to the interaction between chemistry, heat transfer and fluid dynamics. Commercially available simulation tools necessarily simplify this complexity, excluding less fundamental processes, such as soot production. By not including this compound in the simulations, the interactions of radiation heat transfer, fire propagation and toxicity must be approximated based on input parameters that are often not well defined. In this work, two semi-empirical soot models are incorporated in the fire dynamics simulator. The models are compared against experimental data. For the operational viability in large-scale scenarios, a correction factor for the local variables is proposed as a function of the cell size, achieving good agreement with experimental data in terms of the amount of soot generated.

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Jhuma, Farjana Akter y Mohammad Junaebur Rashid. "Simulation study to find suitable dopants of CdS buffer layer for CZTS solar cell". Journal of Theoretical and Applied Physics 14, n.º 1 (27 de diciembre de 2019): 75–84. http://dx.doi.org/10.1007/s40094-019-00363-3.

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AbstractThe performance of CZTS solar cell, a promising candidate in the field of energy production from sunlight, can be improved by optimizing the parameters of most widely used CdS buffer layer. In this work, numerical study have been done on the typical CZTS solar cell structures containing Mo thin film as back contact on glass substrate using SCAPS-1D solar cell simulation software. Then, the CZTS has been used as the absorber layer followed by CdS buffer later. Following, ZnO and transparent conducting oxide n-ITO layers have been considered as window layer and front contact, respectively. In the simulations, the CdS buffer layer has been doped with three different materials such as Silver (Ag), Copper (Cu) and Chlorine (Cl) for a wide acceptable range of carrier concentration. After obtaining the suitable carrier concentration, the thickness of the doped buffer layer has been varied keeping other layer parameters constant to see the variation of performance parameters open circuit voltage (Voc), short circuit current density (Jsc), fill factor (FF) and efficiency (η) of the CZTS solar cell.

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Zhang, Xiaodong, Yiqi Wang y Bingcun Xu. "Simulation on Cooperative Changeover of Production Team Using Hybrid Modeling Method". Algorithms 12, n.º 10 (24 de septiembre de 2019): 204. http://dx.doi.org/10.3390/a12100204.

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In the multi-variety and small-quantity manufacturing environment, changeover operation occurs frequently, and cooperative changeover method is often used as a way to shorten the changeover time and balance the workload. However, more workers and tasks will be affected by cooperative changeover. As such, the effectiveness of the cooperative changeover is dependent on other factors, such as the scope of cooperation and the proportion of newly introduced products. For this reason, this paper proposes a hybrid modeling method to support the simulation study of the production team's cooperative changeover strategies under various environments. Firstly, a hybrid simulation modeling method consisting of multi-agent systems and discrete events is introduced. Secondly, according to the scope of cooperation, this paper puts forward four kinds of cooperative changeover strategies. This paper also describes the cooperative line-changing behavior of operators. Finally, based on the changeover strategies, the proposed simulation method is applied to a production cell. Four production scenarios are considered according to the proportion of newly introduced part. The performance of various cooperative strategies in different production scenarios is simulated, and the statistical test results show that the optimal or satisfactory strategy can be determined in each production scenario. Additionally, the effectiveness and practicability of the proposed modeling method are verified.

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Tchipev, Nikola, Steffen Seckler, Matthias Heinen, Jadran Vrabec, Fabio Gratl, Martin Horsch, Martin Bernreuther et al. "TweTriS: Twenty trillion-atom simulation". International Journal of High Performance Computing Applications 33, n.º 5 (6 de enero de 2019): 838–54. http://dx.doi.org/10.1177/1094342018819741.

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Significant improvements are presented for the molecular dynamics code ls1 mardyn — a linked cell-based code for simulating a large number of small, rigid molecules with application areas in chemical engineering. The changes consist of a redesign of the SIMD vectorization via wrappers, MPI improvements and a software redesign to allow memory-efficient execution with the production trunk to increase portability and extensibility. Two novel, memory-efficient OpenMP schemes for the linked cell-based force calculation are presented, which are able to retain Newton’s third law optimization. Comparisons to well-optimized Verlet list-based codes, such as LAMMPS and GROMACS, demonstrate the viability of the linked cell-based approach. The present version of ls1 mardyn is used to run simulations on entire supercomputers, maximizing the number of sampled atoms. Compared to the preceding version of ls1 mardyn on the entire set of 9216 nodes of SuperMUC, Phase 1, 27% more atoms are simulated. Weak scaling performance is increased by up to 40% and strong scaling performance by up to more than 220%. On Hazel Hen, strong scaling efficiency of up to 81% and 189 billion molecule updates per second is attained, when scaling from 8 to 7168 nodes. Moreover, a total of 20 trillion atoms is simulated at up to 88% weak scaling efficiency running at up to 1.33 PFLOPS. This represents a fivefold increase in terms of the number of atoms simulated to date.

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Holubek, Radovan y Roman Ruzarovsky. "The Methods for Increasing of the Efficiency in the Intelligent Assembly Cell". Applied Mechanics and Materials 470 (diciembre de 2013): 729–32. http://dx.doi.org/10.4028/www.scientific.net/amm.470.729.

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Efficiency of industrial production lines is crucial as it results in an improved production and utilization of available resources. Industry companies are constantly looking for new ways to improve workplace efficiency. Manufacturing industry trends to employ more flexible assembly cells with changes in programs and configurations for robots, and to achieve a high manufacturing efficiency. The various problems inherent in current mechanized product assembly are outlined, and potential organizational, technological, and engineering measures aimed at increasing the efficiency of product assembly are examined. Future developments in automated assembly are predicted. In order to improve the effectiveness of the cell, it is important to recognize measure and reduce losses in the assembly cell. The most effective method is to analyze the OEE (Overall Equipment Effectiveness) of the cell. It is developed design of assembly system under the project an intelligent assembly cell at the Institute of Production Systems and Applied Mechanics where after process running and debugging, based on the process analysis was evaluated, it is necessary to increase the efficiency of the cell. Deployment of monitoring, visualization and simulation are predicted defects that reduce overall system effectiveness. The project is aiming to develop an efficient intelligent manufacturing system integrating real time data collection, simulation, optimization and synthesis.

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Liao, Qiang, Yan Xia Yang, Xun Zhu y Rong Chen. "Lattice Boltzmann simulation of substrate solution through a porous granule immobilized PSB-cell for biohydrogen production". International Journal of Hydrogen Energy 38, n.º 35 (noviembre de 2013): 15700–15709. http://dx.doi.org/10.1016/j.ijhydene.2013.04.056.

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McCourt, Thomas A., Ryan Blackmore, Iain Rodger, Suzanne Hurter, Bevan Thompson, Mark Reilly y Diane Donovan. "Proxy modelling for multi-well simulations: enabling identification of major input variables and reduced computation time over Monte Carlo sampling". APPEA Journal 59, n.º 1 (2019): 444. http://dx.doi.org/10.1071/aj18065.

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The petroleum industry uses high level dynamic simulations applied to geocellular models to guide forecasts of oil, gas and water production. Uncertainty in model choice and input variable selection is often addressed through large numbers of computationally slow Monte Carlo simulations designed around physics based models. Here, an alternate approach is proposed, which uses a relatively small amount of data and a reduced number of simulations of the high level physics model to train a fast (to evaluate) proxy or surrogate model based on a Polynomial Chaos Expansion. We give details of the theory and incorporated techniques, which significantly increase flexibility. Input variables (e.g. cell-by-cell variations in porosity and permeability) are sampled from unknown probability distributions and sensitivity analysis is based on low level proxy models. The theory is tested by developing proxy models to predict total gas production from a five-spot well configuration in the Hermitage area that taps into the Walloon Coal Measures of the Surat Basin in Queensland. Synthetic training data is simulated using commercial dynamic simulation software based on a high level physics model.

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Montville, Rebecca y Donald Schaffner. "Monte Carlo Simulation of Pathogen Behavior during the Sprout Production Process". Applied and Environmental Microbiology 71, n.º 2 (febrero de 2005): 746–53. http://dx.doi.org/10.1128/aem.71.2.746-753.2005.

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ABSTRACT Food-borne disease outbreaks linked to the consumption of raw sprouts have become a concern over the past decade. A Monte Carlo simulation model of the sprout production process was created to determine the most-effective points for pathogen control. Published literature was reviewed, and relevant data were compiled. Appropriate statistical distributions were determined and used to create the Monte Carlo model with Analytica software. Factors modeled included initial pathogen concentration and prevalence, seed disinfection effectiveness, and sampling of seeds prior to sprouting, sampling of irrigation water, or sampling of the finished product. Pathogen concentration and uniformity of seed contamination had a large effect on the fraction of contaminated batches predicted by the simulation. The model predicted that sprout sampling and irrigation water sampling at the end of the sprouting process would be more effective in pathogen detection than seed sampling prior to production. Day of sampling and type of sample (sprout or water) taken had a minimal effect on rate of detection. Seed disinfection reduced the proportion of contaminated batches, but in some cases it also reduced the ability to detect the pathogen when it was present, because cell numbers were reduced below the detection limit. Both the amount sampled and the pathogen detection limit were shown to be important variables in determining sampling effectiveness. This simulation can also be used to guide further research and compare the levels of effectiveness of different risk reduction strategies.

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Rasmussen, Claus P., Kristian Krejbjerg, Michael L. Michelsen y Kersti E. Bjurstrøm. "Increasing the Computational Speed of Flash Calculations With Applications for Compositional, Transient Simulations". SPE Reservoir Evaluation & Engineering 9, n.º 01 (1 de febrero de 2006): 32–38. http://dx.doi.org/10.2118/84181-pa.

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Summary Approaches are presented for reducing the computation time spent on flash calculations in compositional, transient simulations. In a conventional flash calculation, the majority of the simulation time is spent on stability analysis, even for systems far into the single-phase region. A criterion has been implemented for deciding when it is justified to bypass the stability analysis. With the implementation of the developed time-saving initiatives, it has been shown for a number of compositional, transient pipeline simulations that a reduction of the computation time spent on flash calculations by approximately 85 to 90% can be achieved. Introduction Modeling of oil production requires simulations of transient flow. Examples are miscible-gas displacement in petroleum reservoirs and multiphase flow in pipelines, including slug formation and startup scenarios. In a typical transient-flow simulation, the system is discretized into a number of cells or sections. Phase amounts and phase properties are needed for each cell or section to solve the conservation equations in the model, and specifically for transient pipeline simulations to calculate such properties as heat loss to the surroundings, liquid holdup, and pressure drop. If the overall composition is constant during the simulation, the phase properties can be stored in precalculated tables listing the needed properties as a function of pressure and temperature (Bendiksen et al. 1991; Xu and Shea 2001). This is referred to in the following sections as a noncompositional, table-based simulation. When simulating miscible-gas displacement in reservoirs, the assumption of a constant overall composition is not adequate because the injection gas will dissolve in the reservoir fluid and vice versa. Similarly, in many typical multiphase pipelines, the fluid composition will vary because of velocity differences between phases, interfacial mass transfer, and merging networks. In these situations, a compositional approach is useful. A compositional model has the drawback that the computation time is much higher than that of a noncompositional table-based approach. The phase amounts and properties must be evaluated in each cell or section in each timestep. Furthermore, phase compositions are required to calculate the interfacial mass transfer. Nevertheless, the increased accuracy in the fluid description makes the compositional approach attractive to represent multiphase pipelines and reservoirs with large compositional variations. Flash Equilibrium Calculations in Compositional, Transient Simulations The physical properties of a fluid in a cell or section depend on whether the fluid is present as a single phase or splits into several equilibrium phases. A flash calculation is therefore required in each timestep to determine the number of equilibrium phases and their amounts and compositions. Even with relatively few mixture components, the computation time of a compositional, transient simulation far exceeds that of a corresponding noncompositional, table-based simulation; furthermore, the computation time increases with an increased number of components.

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Luzzatto, Dino y Marco Perona. "Cell formation in PCB assembly based on production quantitative data". European Journal of Operational Research 69, n.º 3 (septiembre de 1993): 312–29. http://dx.doi.org/10.1016/0377-2217(93)90018-i.

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Ochs, Jelena, Ferdinand Biermann, Tobias Piotrowski, Frederik Erkens, Bastian Nießing, Laura Herbst, Niels König y Robert H. Schmitt. "Fully Automated Cultivation of Adipose-Derived Stem Cells in the StemCellDiscovery—A Robotic Laboratory for Small-Scale, High-Throughput Cell Production Including Deep Learning-Based Confluence Estimation". Processes 9, n.º 4 (25 de marzo de 2021): 575. http://dx.doi.org/10.3390/pr9040575.

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Laboratory automation is a key driver in biotechnology and an enabler for powerful new technologies and applications. In particular, in the field of personalized therapies, automation in research and production is a prerequisite for achieving cost efficiency and broad availability of tailored treatments. For this reason, we present the StemCellDiscovery, a fully automated robotic laboratory for the cultivation of human mesenchymal stem cells (hMSCs) in small scale and in parallel. While the system can handle different kinds of adherent cells, here, we focus on the cultivation of adipose-derived hMSCs. The StemCellDiscovery provides an in-line visual quality control for automated confluence estimation, which is realized by combining high-speed microscopy with deep learning-based image processing. We demonstrate the feasibility of the algorithm to detect hMSCs in culture at different densities and calculate confluences based on the resulting image. Furthermore, we show that the StemCellDiscovery is capable of expanding adipose-derived hMSCs in a fully automated manner using the confluence estimation algorithm. In order to estimate the system capacity under high-throughput conditions, we modeled the production environment in a simulation software. The simulations of the production process indicate that the robotic laboratory is capable of handling more than 95 cell culture plates per day.

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Carbone, Rosario, Concettina Marino, Antonino Nucara, Maria Francesca Panzera y Matilde Pietrafesa. "Electric Load Influence on Performances of a Composite Plant for Hydrogen Production from RES and its Conversion in Electricity". Sustainability 11, n.º 22 (13 de noviembre de 2019): 6362. http://dx.doi.org/10.3390/su11226362.

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The analysis here presented investigates the influence of electrical load on the operational performances of a plant for hydrogen production from solar energy and its conversion in electricity via a fuel cell. The plant is an actual one, currently under construction, in Reggio Calabria (Italy), at the site of the Mediterranean university campus; it is composed of a Renewable Energy Source (RES) section (photovoltaic panels), a hydrogen production section, and a fuel cell power section feeding the electrical energy demand of the load. Two different load configurations have been analysed and simulations have been carried out through HomerTM simulation code. Results allow interesting conclusions regarding the plant operation to be drawn. The study could have a remarkable role in supporting further research activities aimed at the assessment of the optimal configuration of this type of pioneering plants, designed for feeding electrical loads, possibly, in a self-sufficient way.

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KELKEL, JAN y CHRISTINA SURULESCU. "A MULTISCALE APPROACH TO CELL MIGRATION IN TISSUE NETWORKS". Mathematical Models and Methods in Applied Sciences 22, n.º 03 (marzo de 2012): 1150017. http://dx.doi.org/10.1142/s0218202511500175.

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We derive a multiscale model for tumor cell migration allowing to account for the receptor-mediated movement of the cells, the degradation of tissue fibers and the subsequent production of a soluble ligand whose concentration gradient then acts together with the distribution of tissue fibers as a directional cue for the cells. For this model we present a result on the local existence and uniqueness of a solution in all biologically relevant space dimensions.

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De Sousa Santos, Natália Cibele, Daniel Ribeiro Gomes, Jarbas Ancelmo Da Silva Júnior, Stella Jacyszyn Bachega y Dalton Matsuo Tavares. "Simulation-based optimization of the polca ordering system". Independent Journal of Management & Production 12, n.º 2 (1 de abril de 2021): 672–90. http://dx.doi.org/10.14807/ijmp.v12i2.1275.

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Given an increase in consumer demand for product quality, companies need to continually improve their means of production. The use of computational resources assists companies to choose an ordering system that best suits their reality. In this sense, the present study aims to analyze and compare the performance of the Paired-cell Overlapping Loops of Cards with Authorization (POLCA) system, according to pre-established parameters in a real automobile company case, which has a flow-shop production environment. In order to do this, the research has a hypothetical-deductive scientific explanation. Also, the quantitative approach, and the experimental research procedure were employed due to the use of simulation and optimization. The computer simulation was performed using ProModel®. The initial model was optimized, and the results of the two elaborated scenarios were compared. It was verified that the optimized scenario showed improvement in the average total output of the system. The simulation of the optimized model presented an increase in production of approximately 95.29% when compared to the initial scenario. Nevertheless, trade-offs were verified. It is noticeable in the scenario analyzed that to increase the production of axles, the use of intermediate stocks must be increased. Finally, the present research contributes to the academic community since it proposed the study of an ordering system that has a limited number of studies, mainly in Brazil. It also contributes to the business community by encouraging the use of simulation in companies so that a better performance analysis of ordering systems can be performed prior to actual deployment.

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Srasrisom, Khongsak, Pramot Srinoi, Seksan Chaijit y Fasai Wiwatwongwana. "Improvement of an automated CAN packaging system based on modeling and analysis approach through robot simulation tools". IAES International Journal of Robotics and Automation (IJRA) 9, n.º 3 (1 de septiembre de 2020): 178. http://dx.doi.org/10.11591/ijra.v9i3.pp178-189.

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<p>The application of robot simulation tools for modelling, analysis and improvement of existing industrial manufacturing cells is presented with reference to the development and implementation of the digital factory concept. A real case study of aerosol can packaging and palletizing cell scenario in the metal can manufacturing industry for containing food and products is used as a reference in this paper. For studying manual aerosol can packaging and palletizing conditions of the worker, a detailed time and motion analysis of workers is carried out. On the basis of cycle time analysis results, an alternative to the manual operation, a more sophisticated automated packaging and palletizing system is suggested. A proposed system which uses a robotic manipulator including automated production machine and devices are also developed and tested. The viability of the suggested system is checked through simulation and cycle time analysis. A fuzzy logic software, MATLAB is employed in order to analyse the actual system’s behaviour in terms of productivity, and utilization of the available facilities. The 3D simulation software, DELMIA V6 is additionally employed to perform a detailed design phase of the manufacturing cell. From the simulation results, this gives a rough approximation that the production of one robotized manipulator, and automated packaging and palletizing cell is equal to the production of about 4.3 manual packaging and palletizing cells. These results have shown the need for change to automation in the aerosol can packaging and palletizing system.</p>

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Wang, Shuyuan y Ben O’Shaughnessy. "Anchoring of actin to the plasma membrane enables tension production in the fission yeast cytokinetic ring". Molecular Biology of the Cell 30, n.º 16 (22 de julio de 2019): 2053–64. http://dx.doi.org/10.1091/mbc.e19-03-0173.

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The cytokinetic ring generates tensile force that drives cell division, but how tension emerges from the relatively disordered ring organization remains unclear. Long ago, a musclelike sliding filament mechanism was proposed, but evidence for sarcomeric order is lacking. Here we present quantitative evidence that in fission yeast, ring tension originates from barbed-end anchoring of actin filaments to the plasma membrane, providing resistance to myosin forces that enables filaments to develop tension. The role of anchoring was highlighted by experiments on isolated fission yeast rings, where sections of ring became unanchored from the membrane and shortened ∼30-fold faster than normal. The dramatically elevated constriction rates are unexplained. Here we present a molecularly explicit simulation of constricting partially anchored rings as studied in these experiments. Simulations accurately reproduced the experimental constriction rates and showed that following anchor release, a segment becomes tensionless and shortens via a novel noncontractile reeling-in mechanism at about the velocity of load-free myosin II. The ends are reeled in by barbed end–anchored actin filaments in adjacent segments. Other actin anchoring schemes failed to constrict rings. Our results quantitatively support a specific organization and anchoring scheme that generate tension in the cytokinetic ring.

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Dai, Guohao, Olga Tsukurov, Michael Chen, Jonathan P. Gertler y Roger D. Kamm. "Endothelial nitric oxide production during in vitro simulation of external limb compression". American Journal of Physiology-Heart and Circulatory Physiology 282, n.º 6 (1 de junio de 2002): H2066—H2075. http://dx.doi.org/10.1152/ajpheart.00288.2001.

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External pneumatic compression (EPC) is effective in preventing deep vein thrombosis (DVT) and is thought to alter endothelial thromboresistant properties. We investigated the effect of EPC on changes in nitric oxide (NO), a critical mediator in the regulation of vasomotor and platelet function. An in vitro cell culture system was developed to simulate flow and vessel collapse conditions under EPC. Human umbilical vein endothelial cells were cultured and subjected to tube compression (C), pulsatile flow (F), or a combination of the two (FC). NO production and endothelial nitric oxide synthase (eNOS) mRNA expression were measured. The data demonstrate that in the F and FC groups, there is a rapid release of NO followed by a sustained increase. NO production levels in the F and FC groups were almost identical, whereas the C group produced the same low amount of NO as the control group. Conditions F and FC also upregulate eNOS mRNA expression by a factor of 2.08 ± 0.25 and 2.11 ± 0.21, respectively, at 6 h. Experiments with different modes of EPC show that NO production and eNOS mRNA expression respond to different time cycles of compression. These results implicate enhanced NO release as a potentially important factor in the prevention of DVT.

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Kurhekar, Manish y Umesh Deshpande. "Agent-Based Deterministic Modeling of the Bone Marrow Homeostasis". Advances in Bioinformatics 2016 (2 de junio de 2016): 1–12. http://dx.doi.org/10.1155/2016/8054219.

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Modeling of stem cells not only describes but also predicts how a stem cell’s environment can control its fate. The first stem cell populations discovered were hematopoietic stem cells (HSCs). In this paper, we present a deterministic model of bone marrow (that hosts HSCs) that is consistent with several of the qualitative biological observations. This model incorporates stem cell death (apoptosis) after a certain number of cell divisions and also demonstrates that a single HSC can potentially populate the entire bone marrow. It also demonstrates that there is a production of sufficient number of differentiated cells (RBCs, WBCs, etc.). We prove that our model of bone marrow is biologically consistent and it overcomes the biological feasibility limitations of previously reported models. The major contribution of our model is the flexibility it allows in choosing model parameters which permits several different simulations to be carried out in silico without affecting the homeostatic properties of the model. We have also performed agent-based simulation of the model of bone marrow system proposed in this paper. We have also included parameter details and the results obtained from the simulation. The program of the agent-based simulation of the proposed model is made available on a publicly accessible website.

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Mauri, Aurelio Giancarlo, Lorenzo Sala, Paolo Airoldi, Giovanni Novielli, Riccardo Sacco, Simone Cassani, Giovanna Guidoboni, Brent Siesky y Alon Harris. "Electro-fluid dynamics of aqueous humor production: simulations and new directions". Modeling and Artificial Intelligence in Ophthalmology 1, n.º 2 (15 de diciembre de 2016): 48–58. http://dx.doi.org/10.35119/maio.v1i2.30.

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Purpose: to theoretically investigate the role of bicarbonate ion (HCO−3 ) on the nonpigmented transepithelial potential dierence Vm, the sodium potassium pump (Na/K) and the active secretion of aqueous humor.Methods: a three-dimensional mathematical model is proposed to isolate the roles of HCO−3 and Na+, which are diicult to investigate experimentally. The model combines the velocity-extended Poisson-Nernst-Planck equations to describe ion electrodiusion and the Stokes equations to describe aqueous humor flow into the basolateral space adjacent to the nonpigmented ephitelial cells.Results: Computations showthat Vm is close to baseline experimental measurements (on monkeys) in the range [−2.7,−2.3]mVonly if HCO−3 is included in the simulation. The model is also capable of reproducing the flow of Na+ exiting the cell and the flow of K+ entering the cell, in accordance with the physiology of the Na/K pump. The simulated Na/K ratio is 1.53, which is in very good agreement with the theoretical value of 1.5.Conclusion: Model simulations suggest that HCO−3 inhibition may prevent physiologically correct baseline values of the nonpigmented transepithelial potential difference and Na/K ATPase function. This may provide useful indication in the design of medications that decrease the active secretion of aqueous humor, and supports the advantage of using mathematical models as a noninvasive complement of animal models.

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Bhat, S. "The effect of ordering policies for a manufacturing cell changing to lean production". Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, n.º 11 (1 de noviembre de 2008): 1551–60. http://dx.doi.org/10.1243/09544054jem1216.

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Over the past two decades, lean production has been replacing traditional manufacturing techniques around the world, mainly owing to the success of the Toyota Motor Company. One key to Toyota's success that many Indian companies have not been able to emulate is the transformation of their suppliers to the lean philosophy. The focus of this research is analysing the impact of ordering policies for supplied parts of a manufacturing cell utilizing lean production techniques. This paper presents a simulation analysis of a multi-stage, lean manufacturing cell that produces a family of products. The analysis investigates how the ordering policy for supplied parts affects the performance of the cell under conditions of demand variability and imperfect supplier performance. The ordering policies evaluated are a periodic-review inventory control policy and two Kanban policies. The performance of the cell is measured by the flow time of the product through the cell, the on-time-delivery to the customer, the number of products shipped each week, the amount of work-in-process inventory in the cell, the approximate percentage of time the cell was stocked out, and the average supplied part inventory levels for the cell.

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Zhang, Wan Li, Bi Xi Zhang y Wen Rong Qiu. "The Use of Ant Colony Model in the Staff Deployment Problem". Advanced Materials Research 317-319 (agosto de 2011): 1501–6. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1501.

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For the complex features of many varieties, varying quantities of inserting production, we use such a complex system as Swarm intelligence to study the process of the production line of SMEs setting up and human resources scheduling. Based on the analysis of the operating characteristics of production cell and their comparison labor division model of the ant colony, it re-designs the workers’ features and the deployment of staff between the Production cells and finally, realizes an adaptive division of labor model by the control of computer, depending on the production task requirements and each production cell load. The experiments show that the digital simulation results can match the real cases well.

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Kiss, Márk y Mátyás Andó. "Automatic Manufacturing Cell in Cyber-physical System". Periodica Polytechnica Mechanical Engineering 64, n.º 4 (22 de septiembre de 2020): 336–41. http://dx.doi.org/10.3311/ppme.16623.

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Such manufacturing cells, that need to be able to produce high quantity and variety workpieces, the automatic workpiece handling is indispensable to stay in competition. A real manufacturing cell’s simulation in a cyber-physical system can help the decisions-making in the production, as we receive real data with the simulation of the scenarios. Our manufacturing cell consists of a 6-axis robot, 2 CNC milling machines and 4 conveyors. We tested 10 different scenarios, during which we analyzed the usage of the robot and the milling machines. By upgrading the tools, used for milling, we could reduce the cycle time of the workpieces. Furthermore, one more milling machine could be integrated into the cell due to the low usage of the robot or the speed of the robot could be lowered. Besides, filling the pallets with the same workpieces was the most effective way, however, with mixed workpieces we reached better results when we used optimization for cycle time. In these cases, reducing the order quantity to a daily amount did not cause any capacity reduction.

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Pająk, I. "The Matlab Toolbox for Modeling Complex Mechanisms". International Journal of Applied Mechanics and Engineering 19, n.º 2 (1 de mayo de 2014): 285–301. http://dx.doi.org/10.2478/ijame-2014-0019.

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Abstract In the paper, a new version of the Matlab toolbox for modeling and simulation of any mechanisms consisting of open kinematic chains is presented. This tool renders it possible to define any manipulator described by Denavit-Hartenberg parameters and then connect the mechanisms created in this way into one complex mechanism. The package can be used for a realistic visualization of robot motion necessary in research, didactic process or during design of a production cell. Available functions render it possible to show a realistic model of a mechanism based on both default and user defined appearance. The toolbox also provides a set of tools for performing simultaneous simulations of many robots and other objects in their workspace. An example illustrating new features of the toolbox, presenting modeling and motion simulating of human upper limb is also attached.

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MA, SUQI, XIAOHUI WANG, JINZHI LEI y ZHAOSHENG FENG. "DYNAMICS OF THE DELAY HEMATOLOGICAL CELL MODEL". International Journal of Biomathematics 03, n.º 01 (marzo de 2010): 105–25. http://dx.doi.org/10.1142/s1793524510000829.

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In this paper, complex dynamics of a two-compartment model of production and regulation of the circulating blood neutrophil number are investigated. It is shown that the proliferative disorders may be possible due to factors of the apoptosis rate rsof the haematopoietic stem cell and the cell cycle duration τs. Applying a recent geometrical criterion for the Hopf bifurcation and transient behaviors of delay systems to this model, we separate the stable regime from the unstable regime on the rs- τsplane. Numerically, regimes of patterned periodic oscillations with low periodicity in the number of circulating blood cells appear on the rs- τsplane. It is found that the dominated period-adding bifurcation mechanism leads transitions from period-n to period-(n + 1), eventually changes to the complex attractor with high-periodicity or chaos.

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Wang, Chuyuan, Linxuan Zhang y Chongdang Liu. "Adaptive scheduling method for dynamic robotic cell based on pattern classification algorithm". International Journal of Modeling, Simulation, and Scientific Computing 09, n.º 05 (octubre de 2018): 1850040. http://dx.doi.org/10.1142/s179396231850040x.

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In order to deal with the dynamic production environment with frequent fluctuation of processing time, robotic cell needs an efficient scheduling strategy which meets the real-time requirements. This paper proposes an adaptive scheduling method based on pattern classification algorithm to guide the online scheduling process. The method obtains the scheduling knowledge of manufacturing system from the production data and establishes an adaptive scheduler, which can adjust the scheduling rules according to the current production status. In the process of establishing scheduler, how to choose essential attributes is the main difficulty. In order to solve the low performance and low efficiency problem of embedded feature selection method, based on the application of Extreme Gradient Boosting model (XGBoost) to obtain the adaptive scheduler, an improved hybrid optimization algorithm which integrates Gini impurity of XGBoost model into Particle Swarm Optimization (PSO) is employed to acquire the optimal subset of features. The results based on simulated robotic cell system show that the proposed PSO-XGBoost algorithm outperforms existing pattern classification algorithms and the newly learned adaptive model can improve the basic dispatching rules. At the same time, it can meet the demand of real-time scheduling.

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