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Journal articles on the topic 'Arena Simulation Software'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Sithebe, Thembelani. "Automated Assembly Simulation Using Arena Software." Advanced Materials Research 740 (August 2013): 27–38. http://dx.doi.org/10.4028/www.scientific.net/amr.740.27.

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Most research has been concentrating on getting input from and simulating specific assembly processes. The most advanced simulation research is based on data driven methods. The rest of simulation articles are case study based. This work envisages establishing a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. The simulation model is based on proposed configuration and operational information. It is used to verify that the proposed system will meet required production rates and, to predict the relative performance of alternative configurations. It can be used for what-if analysis to investigate different operation scenarios and optimize production systems. Validation of the result was done through the use of different scenarios. It is only by using the model to answer specific questions about ways of changing the system that realizable improvements are identified.
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bin Mohd Said, Mohd Azrin, and Napsiah Binti Ismail. "Virtual Production Line Layout Modeling Using Arena Simulation Software." Applied Mechanics and Materials 393 (September 2013): 42–48. http://dx.doi.org/10.4028/www.scientific.net/amm.393.42.

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This paper focuses on the feasibility on developing a simulation model of a bicarbonate beverage production line layout in a manufacturing system by identifying the factory production performance in terms of production rate, production time and production cost. The production performance of the manufacturing system was evaluated using Arena software and the analysis of the production performance values was revealed. The errors percentage for the real production line layout with simulation model was 0.26 %. The models that have been developed in this research by using the Arena software were also being validated. Based on this study,, measures production line layout can be simulated by using the Arena software enhancing the result for further improvement of factory production line layout.
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Said, Mohd Azrin Bin Mohd, and Napsiah Binti Ismail. "Improvement of Production Line Layout Using Arena Simulation Software." Applied Mechanics and Materials 446-447 (November 2013): 1340–46. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1340.

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This paper analyses the production line layout of the manufacturing system design to identify the key performance and to improve the production performance of a bicarbonate beverage production company by using simulation modelling approach. Due to our approach, a simulation model of the real production line layout and new improved production line layout was developed. The key performance indicators of the manufacturing system were evaluated using Arena software. The analysis of the indicator values revealed an improvement within new improved model compare to the real production line layout. The percentage errors for simulation of actual model with new improved model give an improvement percentage of 3.91% for Model A and 44.1% for Model B. All models that have been developed in this research by using the Arena software were also being validated. On the basis of these findings, factory production line layout can be simulated by using the Arena software that enhances the result for further improvement.
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Slota, A. "Integration of simulation software Arena with FMS control system." International Journal of Simulation Modelling 6, no. 3 (September 15, 2007): 165–72. http://dx.doi.org/10.2507/ijsimm06(3)3.088.

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Pîrnău, Claudiu, Ion Niculae Marinescu, and Mihail Aurel Țîțu. "Analysis, Modeling and Simulation of Complex Regional Clusters Activities, Using Arena Simulation Software." Applied Mechanics and Materials 657 (October 2014): 1041–45. http://dx.doi.org/10.4028/www.scientific.net/amm.657.1041.

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Process modelling is the concise description of the total variation in one quantity, y, by partitioning it into a deterministic component given by a mathematical function of one or more other quantities, x1, x2... plus a random component that follows a particular probability distribution. The models are material or immaterial systems, which represent other systems, so that it may be possible to manipulate the built structures and their states. The main elements of a simulation are: attributes (describe and differentiate entities), variables (system characteristics), resources (whose capacity can be variable), tails (seen in case of unavailability of resources) and statistical accumulators (measure needed indicators). The new cluster model used in the present paper is a "Five for all" type, which is based on the American concept of "Smart community". Following the regional SWOT analysis, we choose an enterprise (SME), a member of the regional innovation cluster, whose activities will be modelled using the Arena software: distribution and processing of steel products (sheet, profile, pipe, concrete, steel, stainless steel, alloy with special purpose). Welded pipe production, cutting heavy plate with gas and plasma, cutting and slitting foil, shaping and reinforcing steel in coils bars, components from. Trade in petroleum products and fertilizers. Foreign trade and transport. Modelling and simulation of industrial activities profile are based on statistics regarding the lifecycle of various products and equipment involved in their manufacture.
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Rodgers, Diane M., and Reinaldo J. Moraga. "The Trouble With Thinking Like Arena: Learning to Use Simulation Software." Bulletin of Science, Technology & Society 31, no. 2 (February 20, 2011): 144–52. http://dx.doi.org/10.1177/0270467611399745.

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7

Zahraee, Seyed Mojib, Saeed Rahimpour Golroudbary, Ahmad Hashemi, Jafar Afshar, and Mohammadreza Haghighi. "Simulation of Manufacturing Production Line Based on Arena." Advanced Materials Research 933 (May 2014): 744–48. http://dx.doi.org/10.4028/www.scientific.net/amr.933.744.

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One of the controversial issues in manufacturing systems is bottleneck. Managers and engineers are trying to find methods to eliminate the bottlenecks and waiting times in the production line. More over the manufacturing companies are striving to sustain their competiveness by decreasing the bottlenecks, total cost and increasing the productivity. The objective of this study is applying the computer simulation to analysis the production line bottlenecks. To achieve this goal a color manufacturing line was selected as a case study and the basic application of arena 13.9 software. Finally the some modifications in the simulation model are proposed to improve the production line as well as to decrease the bottleneck.
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Li, Danqing, and Dan Chang. "Construction and Arena Simulation of Grid M-Commerce Process." Journal of Electronic Commerce in Organizations 10, no. 4 (October 2012): 1–18. http://dx.doi.org/10.4018/jeco.2012100101.

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With the rapid development and the wide use of mobile technology, m-commerce research has gradually become the focus of scholars. Difficulties exist in m-commerce, such as information sharing, business collaboration, and process reengineering. Grid management, a new managerial concept, has the potential of being a powerful weapon that affects the study on m-commerce process. This study systematically analyzes the traditional m-commerce process and its problems. On that basis, this paper constructs the grid m-commerce process based on the idea of grid management. Through the help of Arena simulation software, the authors prove that all the convenience, function, and safety of the process are improved by grid M-commerce process.
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9

Jerbi, Abdessalem, Achraf Ammar, Mohamed Krid, and Bashir Salah. "Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest." SIMULATION 95, no. 11 (January 9, 2019): 1085–96. http://dx.doi.org/10.1177/0037549718819804.

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The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.
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Borodin, Valeria, Jean Bourtembourg, Faicel Hnaien, and Nacima Labadie. "COTS software integration for simulation optimization coupling: case of ARENA and CPLEX products." International Journal of Modelling and Simulation 39, no. 3 (December 7, 2018): 178–89. http://dx.doi.org/10.1080/02286203.2018.1547814.

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11

Wang, Ya Bin, and Hong Bo Liu. "A Hybrid Process Modeling Method and its Application in Equipment Support System." Applied Mechanics and Materials 195-196 (August 2012): 718–22. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.718.

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In this paper, a hybrid process modeling method for equipment support system was presented. Combining with the advantages of ARENA and UML, the models of equipment support process were constructed by the means of UML, which include function models, dynamic models and object models. The frame work of UML-ARENA simulation software was designed, and the mapping relations between UML object classes and ARENA models were founded. The equipment support process was simulated by ARENA. At last, an example was given, which proves that this hybrid modeling method is feasible and significant for its can optimize the support process, shorten the support time, and improve the usage ratio of resources.
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Pavelski, Luziane Machado, and Marcia De Andrade Pereira Bernardinis. "Modelo Simplificado de Simulação por Cenários Aplicados ao Gerenciamento de Transporte Público por Ônibus." Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos 4, no. 1 (September 28, 2018): 21. http://dx.doi.org/10.18224/baru.v4i1.6284.

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O principal objetivo dessa pesquisa consiste em verificar a efetividade do uso de simulações por meio do software de modelagem Arena como uma alternativa para trabalhar a melhoria continua no processo de gestão de linhas de transporte urbano público por ônibus. Para isso foi realizada uma coleta de dados reais em uma linha de ônibus na cidade de Curitiba que foram modelados no software Arena de modo simplificado para posteriormente criar outros três cenários a partir de dados hipotéticos, possibilitando assim antever se realizar aquele cenário traz ou não benefícios, economizando recursos e evitando que alterações prejudiciais sejam concretizadas. Os resultados demonstram que apesar da simplicidade do modelo adotado ele tem potencial para contribuir positivamente, a partir dos cenários hipotéticos e simulação das conseqüências oriundas de cada situação, trata- se de uma ferramenta interessante dentro processo de gerenciamento. Simplified Model of Simulation by Scenarios Applied to the Management of Public Transport by Buses The main objective of this research is to verify the effectiveness of the use of simulations through Arena modeling software as an alternative to work on continuous improvement in the process of managing public urban transport lines by bus. For this, a real data collection was performed on a bus line in the city of Curitiba, which was modeled in the Arena software in a simplified way and later to create three other scenarios based on hypothetical data, thus making it possible to predict whether or not that scenario has benefits , saving resources and preventing harmful changes from being made. The results show that despite the simplicity of the adopted model it has the potential to contribute positively, from the hypothetical scenarios and simulation of the consequences of each situation, it is an interesting tool within the management process. Modelo Simplificado de Simulación por Cenarios Aplicados a la Gestión de Transporte Público por Autobus El principal objetivo de esta investigación consiste en verificar la efectividad del uso de simulaciones a través del software de modelado Arena como una alternativa para trabajar la mejora continua en el proceso de gestión de líneas de transporte urbano público por autobús. Para ello se realizó una recolección de datos reales en una línea de autobuses en la ciudad de Curitiba que fueron modelados en el software Arena de modo simplificado para posteriormente crear otros tres escenarios a partir de datos hipotéticos, posibilitando así prever si realizar ese escenario trae o no beneficios , ahorrando recursos y evitando que se produzcan cambios perjudiciales. Los resultados demuestran que a pesar de la simplicidad del modelo adoptado tiene potencial para contribuir positivamente, a partir de los escenarios hipotéticos y simulación de las consecuencias oriundas de cada situación, se trata de una herramienta interesante dentro del proceso de gestión.
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Kamrani, Mohsen, Sayyed Mohsen Hashemi Esmaeil Abadi, and Saeed Rahimpour Golroudbary. "Traffic simulation of two adjacent unsignalized T-junctions during rush hours using Arena software." Simulation Modelling Practice and Theory 49 (December 2014): 167–79. http://dx.doi.org/10.1016/j.simpat.2014.09.006.

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14

Obetta, J. L., O. O. Olusanyan, M. O. Oyediran, W. B. Wahab, A. T. Olusesi, and A. W. Elegbede. "Simulation of a Model for International Traveler’s Check-In Process Using Arena Software Tool." Engineering 13, no. 03 (2021): 125–34. http://dx.doi.org/10.4236/eng.2021.133010.

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15

Yuniawan, Dani, P. P. Aang Fajar, Samsudin Hariyanto, and Romi Setiawan. "Traffic queue modeling using arena simulation software (a case study of Mergan 4-Way intersection in Malang City)." MATEC Web of Conferences 204 (2018): 02009. http://dx.doi.org/10.1051/matecconf/201820402009.

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Currently Mergan 4-way intersection is one of intersection that have most traffic dense in Malang City, East Java - Indonesia. This research implement simulation method in order to give several solution option to manage the traffic queue in Mergan 4-way intersection. Simulation method is conducted with several phase, from problem identification up to verification and validation also scenario simulation. Arena Simulation software v.14 is chosen as the tool to modeling the traffic queue line. The research outcome give several solution through Traffic Light 2 simulation scenario. With this simulation scenario, the traffic flow system simulation can be run with fewer queues of vehicles.
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Ibrahim, Muhammad Faisal, Yunita Siti Mardhiyyah, Ahmad Rusdiansyah, Meidina Kalse Boer, and Dana Marsetiya Utama. "A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration." Jurnal Ilmiah Teknik Industri 19, no. 2 (December 23, 2020): 198–211. http://dx.doi.org/10.23917/jiti.v19i2.11769.

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In this article, focus on the simulation of a three-phase perishable product inventory system of a SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software, simulation results of the existing condition show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need for fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adopted to simulate inventory system problems effectively. The method in this research can be applied to investigate various supply system scenarios and their consequences before implementing it in a real system.
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Calderón-Andrade, Rubén, Eva Selene Hernández-Gress, and Marco Antonio Montufar Benítez. "Productivity Improvement through Reengineering and Simulation: A Case Study in a Footwear-Industry." Applied Sciences 10, no. 16 (August 12, 2020): 5590. http://dx.doi.org/10.3390/app10165590.

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Process reengineering is a very useful tool, specifically in industrial engineering where technological advances, information systems, customer requirements, and more have led to the need for radical change in some or all areas of an organization. The objective of this work is to show the usefulness of applying reengineering in the case of the footwear industry to make a proposal to change the problem area and the production decoration line as well as compare it with the current process using models of simulation performed in the Arena™ software. The proposal consisted of merging two production lines and comparing the current design with the proposal as well as comparing different parameters such as the use of resources and the production rate. The results indicated that the production rate increases by approximately 29% with the new design, using the same resources. In addition, using the OptQuest tool of the Arena™ software, it was found that with the new process, the production rate could be increased by up to 41% compared to the current process.
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Schikora, Paul F., and Brian D. Neureuther. "Learning Business Process Simulation Via Experiential Learning." Journal of Business Case Studies (JBCS) 4, no. 8 (July 1, 2011): 19. http://dx.doi.org/10.19030/jbcs.v4i8.4799.

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The use of discrete event simulation as a process analysis and improvement tool is no longer limited to industrial engineering curricula. With advancements in desktop computing power, we have seen user-friendly simulation software packages become available (e.g. ProModel, Arena, ProcessModel). However, we have found it desirable that students still learn the very basic concepts behind these simulation models in order to better understand their development and use. We present a simple classroom game that teaches students the basic discrete-event simulation concepts and processes without requiring them to learn all the underlying mathematics and scientific theory.
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Yuniawan, Dani, P. P. Aang Fajar, Samsudin Hariyanto, and W. P. Ide Bagus. "Traffic queue proposal solution on T-junction by utilizing arena simulation software (case study of Dinoyo T-Junction Malang City)." MATEC Web of Conferences 204 (2018): 02010. http://dx.doi.org/10.1051/matecconf/201820402010.

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Dinoyo T-junction is one of the intersections with the densest traffic in the city of Malang. This is because T-junction is connecting several major campuses in the Malang city and it is one of the main traffic lanes in town. This study conducted a simulation study of traffic queue on T-junction utilizing Arena simulation software, by giving some proposals solution through simple experiments. Research outcome show that a reduction of red lights duration by 15 seconds in traffic queue simulation for each segment on Dinoyo T-junction be able to gives a significant queue reduction result.
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Rangel, Cíntia De Lima, João José De Assis Rangel, Eduardo Shimoda, and Janaína Ribeiro Do Nascimento. "DISCRETE-EVENT SIMULATION MODELS FOR DIDACTIC SUPPORT." Brazilian Journal of Operations & Production Management 13, no. 3 (September 29, 2016): 300. http://dx.doi.org/10.14488/bjopm.2016.v13.n3.a7.

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This paper presents the evaluation of a discrete event simulation model designed to be used as a didactic aid instrument in classes of a technical course on high school. The simulation model was developed using the free version of the Arena software. Among the results obtained, it was found that applying this model as a didactic resource in classes has enabled an increase of quality in the students’ learning. This result was even more significant concerning students with average grades below 6. In these cases, with the help of the simulator, students of worse educational achievement obtained performance close to the ones that had average grades equal to or higher than 8.
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Hatami, Milad, Seyed Mojib Zahraee, Milad Ahmadi, Saeed Rahimpour Golroudbary, and Jafri Mohd Rohani. "Improving Productivity in a Bank System by Using Computer Simulation." Applied Mechanics and Materials 606 (August 2014): 259–63. http://dx.doi.org/10.4028/www.scientific.net/amm.606.259.

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With advent of high technologies, simulation software becomes more applicable between organizations’ managers. Simulation can model the real situation on a visual program. It will make the understanding of system, properly. Nowadays in each organization, the main considered factor is how they can improve its services confidently. This study emphasize on customer satisfaction and reducing the waiting time for customers in a bank service system. The goal of this paper is applying ARENA simulation software for modeling the system and measuring the performances. In addition, three strategies are implemented that each strategy consists of several scenarios. 17 possible scenarios are compared to achieve all kind of results that can be imagined. It would be very helpful for manager to analyzes and compare the results then find the lowest and highest effective element for improvement.
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Raska, Pavel, and Ulrych Zdenek. "Comparison of Selected Optimization Methods Used for Discrete Event Simulation Models and Testing Functions." Advanced Materials Research 816-817 (September 2013): 629–33. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.629.

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The paper deals with the comparison of selected optimization methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy-used to search for the global optimum of the objective function specified for each simulation model. These optimization methods have to be modified in such a way that they are applicable for discrete event simulation optimization purposes. Three discrete event simulation models were built (using ARENA simulation software) which reflect real industrial systems. Then the optimization methods were tested on four testing functions. The evaluation method which uses information from the box plot characteristics was specified.
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Santos, José Airton Azevedo dos, Tiago C. Dal’sotto, and Wesley Schroeder. "MODELAGEM, SIMULAÇÃO E OTIMIZAÇÃO DA DINÂMICA OPERACIONAL DO PROCESSO DE ATENDIMENTO DE UM PEQUENO POSTO DE SAÚDE." e-xacta 6, no. 1 (June 3, 2013): 101. http://dx.doi.org/10.18674/exacta.v6i1.971.

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<p>Este trabalho tem como objetivo analisar, através de técnicas de simulação e de otimização, a dinâmica operacional do processo de atendimento de um pequeno posto de saúde localizado na região oeste paranaense. A simulação e a otimização foram executadas utilizando o pacote de simulação Arena®, que inclui o software de otimização Optquest. A metodologia utilizada é a de modelagem através de simulação computacional, de caráter quantitativo e é caracterizada como participativa. A aplicação destas técnicas em conjunto resultaram na otimização do número de agendamento de consultas médicas do posto de saúde.</p><p>Abstract</p><p>This work aims to analyze the attending process operational dynamics of a small health post located in Paraná West Region. Another objective is connect the concepts of simulation and optimization to maximize the number of scheduling appointments for the health post, within the limits of accommodation of the waiting room. The simulation and optimization were performed using the Arena ® simulation package, which includes the OptQuest optimization software. The methodology used was the modeling through computer simulation of quantitative character and it is characterized as participative. The application of these techniques all together resulted in the optimization of the number of medical appointment scheduling of the health post</p>
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WILSON, DAVE. "Data exchange and software integration: Interdisciplinary design challenges." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12, no. 1 (January 1998): 73–76. http://dx.doi.org/10.1017/s0890060498121145.

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Hewlett-Packard develops and markets a family of computer-aided engineering products used by high-frequency designers to model the signal path in contemporary communications systems. As design frequencies, clock speeds and packaging densities continue to increase, more designers are finding that system and circuit simulation products need to be complemented by electromagnetic simulation software to develop models for basic circuit functionality or to characterize and compensate undesired parasitic effects. The HP High-Frequency Structure Simulator (HP HFSS) is a frequency-domain, finite element-based simulator, which enables engineers to characterize high-frequency behavior in 2D (transmission lines) and arbitrary 3D structures. Links with mechanical computer aided design (CAD) software have also become more important as the 3D structures to be analyzed by HP HFSS can involve packaging parasitics when the housing in which the electrical circuitry is enclosed becomes an influence on the signal path. Depending upon the complexity of the structure to be analyzed, HP HFSS can require hundreds of Mbytes of RAM and disk during automated adaptive solution convergence processes which determine field and circuit parameter solution results to user-specified accuracies. Although computer resource requirements will always be an important consideration for users of this type of product, another important situation to address for the future involves the exchange of data between the different simulation and modelling tools required to take design from concept through simulation to manufacture. The introduction of physical simulation tools into the traditional circuit simulation arena changes the design process flow and increases the demand for improved integration and interoperability of circuit simulators, numerical EM simulators, and mechanical CAD software. This paper provides an overview of data exchange issues in high-frequency electrical–physical–mechanical design processes.
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Desa, Wan Laailatul Hanim Mat, Shahrul Kamaruddin, and Mohd Kamal Mohd Nawawi. "Modeling of Aircraft Composite Parts Using Simulation." Advanced Materials Research 591-593 (November 2012): 557–60. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.557.

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Simulation is one of the most powerful tools available for decision makers to study, analyze and evaluate any design and operation particularly for complex processes and systems. One of the largest application areas for simulation modelling is the manufacturing systems. As such, it is widely applied in manufacturing as a representation of the industrial operation systems allowing the systems to be observed, learnt and tested in a more holistic manner. This paper is based on a preliminary study that demonstrates the application of computer simulation modelling, which is a branch of Operations Research techniques, as a means to identify bottlenecks in order to determine the ideal operating conditions for large scale aircraft composite parts production plant in Malaysia. The model development of the plant under study was built using Arena software.
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Alharkan, Ibrahim, Mustafa Saleh, Mageed Ghaleb, Abdulsalam Farhan, and Ahmed Badwelan. "Simulation-Based Optimization of a Two-Echelon Continuous Review Inventory Model with Lot Size-Dependent Lead Time." Processes 8, no. 9 (August 19, 2020): 1014. http://dx.doi.org/10.3390/pr8091014.

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This study analyzes a stochastic continuous review inventory system (Q,r) using a simulation-based optimization model. The lead time depends on lot size, unit production time, setup time, and a shop floor factor that represents moving, waiting, and lot size inspection times. A simulation-based model is proposed for optimizing order quantity (Q) and reorder point (r) that minimize the total inventory costs (holding, backlogging, and ordering costs) in a two-echelon supply chain, which consists of two identical retailers, a distributor, and a supplier. The simulation model is created with Arena software and validated using an analytical model. The model is interfaced with the OptQuest optimization tool, which is embedded in the Arena software, to search for the least cost lot sizes and reorder points. The proposed model is designed for general demand distributions that are too complex to be solved analytically. Hence, for the first time, the present study considers the stochastic inventory continuous review policy (Q,r) in a two-echelon supply chain system with lot size-dependent lead time L(Q). An experimental study is conducted, and results are provided to assess the developed model. Results show that the optimized Q and r for different distributions of daily demand are not the same even if the associated total inventory costs are close to each other.
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Peng, Yang, Gao Wei, and Sun Jun-Qing. "Capacity Analysis for Parallel Runway through Agent-Based Simulation." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/505794.

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Parallel runway is the mainstream structure of China hub airport, runway is often the bottleneck of an airport, and the evaluation of its capacity is of great importance to airport management. This study outlines a model, multiagent architecture, implementation approach, and software prototype of a simulation system for evaluating runway capacity. Agent Unified Modeling Language (AUML) is applied to illustrate the inbound and departing procedure of planes and design the agent-based model. The model is evaluated experimentally, and the quality is studied in comparison with models, created by SIMMOD and Arena. The results seem to be highly efficient, so the method can be applied to parallel runway capacity evaluation and the model propose favorable flexibility and extensibility.
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Parhi, Shreyanshu, and S. C. Srivastava. "A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control." International Journal of Emerging Research in Management and Technology 6, no. 6 (June 29, 2018): 98. http://dx.doi.org/10.23956/ijermt.v6i6.254.

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Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS. The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.
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Vamanan, Mayur, Qian Wang, Rajan Batta, and Robert J. Szczerba. "Integration of COTS software products ARENA & CPLEX for an inventory/logistics problem." Computers & Operations Research 31, no. 4 (April 2004): 533–47. http://dx.doi.org/10.1016/s0305-0548(03)00010-8.

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Kosari Moghaddam, Armaghan, Hassan Sadrnia, Hassan Aghel, and Mohammad Bannayan. "Optimization of tillage and sowing operations using discrete event simulation." Research in Agricultural Engineering 64, No. 4 (December 31, 2018): 187–94. http://dx.doi.org/10.17221/49/2017-rae.

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A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena<sup>®</sup> simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness costs were calculated for each machinery set. Timeliness costs were estimated for 21-years period on daily basis (Daily Work method) and compared with another method (Average Work method) based on the equation proposed by ASAE Standards, EP 496.3FEB2006. The Inputs of the model were machinery sets, field size, machines performances and daily soil workability state. The optimization criteria were the lowest costs and lowest standard deviation in daily work method plus the lowest costs based on average work method. The validity of the model was evaluated by comparing the output of the model with field observed data collected from various farms. Results revealed that there was no significant difference (P &gt; 0.01) between the observed and predicted finish day.
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Oueida, Soraia, Seifedine Kadry, and Sorin Ionescu. "Estimating Key Performance Indicators of a New Emergency Department Model." International Journal of User-Driven Healthcare 7, no. 2 (July 2017): 1–16. http://dx.doi.org/10.4018/ijudh.2017070101.

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In this article, a real-life Emergency Department (ED) is studied and analyzed in order to propose areas for improvement in its operations and patient flow. EDs are in native very busy and complex systems where medical facility treatments are provided to arriving patients without any prior appointment. ED, a 24/7 open facility, interacts with the majority of other departments of the healthcare system. Due to this complexity and unplanned nature of patient surge, simulation modeling is proven to be very effective in order to study the necessary changes needed for better performance. As a consequence of these challenges, the patient LoS (Length of Stay) and the human-resource utilization rates are increased and thus leading to staff and customer dissatisfaction which need to be addressed for better performance. An emergency department of a hospital in Lebanon is chosen for simulation using Arena software where a model is designed to match the real system. This model is then verified, validated and enhanced by proposing some modifications in the resource allocation levels. These improvements are achieved by running different scenarios using Arena Process Analyzer and suggesting an optimal solution using Arena OptQuest tool without the need of interrupting the real system.
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PETTERSSON, JIMMY, and MATTIAS WAHDE. "UFLIBRARY: A SIMULATION LIBRARY IMPLEMENTING THE UTILITY FUNCTION METHOD FOR BEHAVIORAL ORGANIZATION IN AUTONOMOUS ROBOTS." International Journal on Artificial Intelligence Tools 16, no. 03 (June 2007): 507–36. http://dx.doi.org/10.1142/s0218213007003382.

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A simulation software package (UFLibrary) implementing the utility function (UF) method for behavior selection in autonomous robots, is introduced and described by means of an example involving a simple exploration robot equipped with a repertoire of five different behaviors. The UFLibrary (as indeed the UF method itself) is aimed at providing a rapid yet reliable and generally applicable procedure for generating behavior selection systems for autonomous robots, while at the same time minimizing the amount of hand-coding related to the activation of behaviors. It is demonstrated how the UFLibrary allows a user to rapidly implement individual behaviors and to set up and carry out simulations of a robot in its arena, in order to generate and optimize, by means of an evolutionary algorithm, the behavior selection system of the robot.
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Shahpanah, A., S. Poursafary, S. Shariatmadari, A. Gholamkhasi, and S. M. Zahraee. "Optimization Waiting Time at Berthing Area of Port Container Terminal with Hybrid Genetic Algorithm (GA) and Artificial Neural Network (ANN)." Advanced Materials Research 902 (February 2014): 431–36. http://dx.doi.org/10.4028/www.scientific.net/amr.902.431.

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A queuing network model related to arrival, departure and berthing process of ships at port container terminal is presented in this paper. The important datas collected from PTP port container terminal located at Malaysia. Based on the case study the model was built with using Arena 13.5 simulation software. Especially this study proposes a hybrid approach consisting of Genetic algorithm (GA), Artificial Neural Network (ANN) to find the the optimum number of equipments at berthing area of port container terminal. The input data that used in ANN obtained from Arena results. The main goal of this study is reduced waiting time of each ship at port container terminal, and Based on the result the optimum waiting time 50 will be achieved.
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Sutee, Umchid, and Prasad K. D. V. Yarlagadda. "Simulation-Based Comparison of Pull-Push Systems in Motorcycle Assembly Line." Applied Mechanics and Materials 241-244 (December 2012): 1507–13. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1507.

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To investigate the effects of adopting a pull system in assembly lines in contrast to a push system, simulation software called “ARENA” is used as a tool in order to present numerical results from both systems. Simulation scenarios are created to evaluate the effects of attributes changing in assembly systems, with influential factors including the change of manufacturing system (push system to pull system) and variation of demand. Moreover, pull system manufacturing consists of the addition attribute, which is the number of buffer storage. This paper will provide an analysis based on a previous case study, hence process time and workflow refer to the journal name “Optimising and simulating the assembly line balancing problem in a motorcycle manufacturing company: a case study” [2]. The implementation of the pull system mechanism is to produce a system improvement in terms of the number of Work-In-Process (WIP), total time of products in the system, and the number of finished product inventory, while retaining the same throughput.
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Liu, Guoli, and Yadong Liang. "Research on attack and defence control of martial arts arena robot based on kinodynamics." International Journal of Advanced Robotic Systems 17, no. 2 (March 1, 2020): 172988142091032. http://dx.doi.org/10.1177/1729881420910322.

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In the research of intelligent mobile robot, autonomous mobility is a very key problem. It is very important to accurately and quickly respond to the surrounding environment, avoid obstacles in the process of moving in real time and move to the destination without interruption. Most of the existing path planning and obstacle avoidance algorithms do not consider the kinematic and geometric constraints of the robot parameters, there will be physical feasibility and versatility problems in the actual robot application; the existing martial arts challenge arena robot attack and defence control strategy, mainly rely on experience and try, accuracy and flexibility and other aspects are inadequate. In view of this, this article proposes a dynamic model based on virtual force, and applies it to the martial arts challenge arena robot, develops a set of attack and defence control strategy of martial arts challenge arena robot, completes the simulation experiment and the actual robot experiment, analyse the experimental results, and puts forward the improvement scheme. The experimental results show that the motion model proposed in this article can help the robot to complete the obstacle avoidance planning task, and the attack and defence control model based on the motion modelling can effectively improve the obstacle avoidance efficiency and attack and defence intensity of the martial arts challenge arena robot, and enhance the competitiveness of its confrontation.
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Abrishami, Salman Jameh, Mohammad Zeraatkar, Rasoul Esrafilian, Seyyed Amir Vafaei, and Seyed Mojib Zahraee. "Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena." MATEC Web of Conferences 225 (2018): 01004. http://dx.doi.org/10.1051/matecconf/201822501004.

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Firm’s efficiency and competitiveness are two important challenges in today’s global market that have motivated many manufacturing firms to plan novel manufacturing management strategies. Nowadays, simulation models have been used to assess different aspects of manufacturing systems. This paper introduces a welding unit of a manufacturing line of heater production as a case study and the basic application of the ARENA software. The main goal of this paper is increasing the productivity of the production line by using computer simulation. To achieve this goal, three various scenarios are compared and suggested to obtain the better improvement in productivity.
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Rahman, N. Vinky, and Lenita Aulia Sinaga. "Analysis of the Evacuation Route Effectiveness Based on the Hotel’s Visitor Evacuation Speed (Case Study: Grand Kanaya Hotel, Medan)." International Journal of Architecture and Urbanism 3, no. 3 (November 18, 2019): 283–97. http://dx.doi.org/10.32734/ijau.v3i3.3743.

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The territory of Indonesia has geographical, geological, hierarchical and demographic conditions that enable disasters or emergencies, whether caused by natural or non-natural factors. When an emergency occurs, evacuation must be carried out as quickly and effectively as possible to minimize losses. Evacuation Emergency conditions are things that need to be considered by every building manager. However, until now buildings are still often found that are operating but have not met the requirements of building function worthy certificates. The hotel building is one of the buildings that need to be considered is the emergency response system and its evacuation route. The hotel building is a vertical residential building that has many users and activities, so it requires an optimal evacuation route. This study aims to analyze the effectiveness of evacuation routes in hotel buildings and recommend proper evacuation routes for a hotel building. A descriptive study was conducted to determine the existing conditions and simulations using Rockwell Arena software to determine the visitor's evacuation speed in hotel buildings. The results of the research and simulation of Rockwell Arena software indicate that the evacuation path in hotel buildings has not been sufficient so that design recommendations are needed to improve the effectiveness of evacuation routes. This research can be used as a reference and consideration for finding out the problems that exist on the evacuation routes in hotel buildings.
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Benítez, Marco Antonio Montufar, Luis M. Pla Aragones, Marco A. Serrato Garcia, Oscar Montaño Arango, and José Ramón Corona Armenta. "Evaluation of Replacement Policies in Sow Farms Using Arena<sup>TM</sup> Simulation Software." Intelligent Control and Automation 05, no. 03 (2014): 126–35. http://dx.doi.org/10.4236/ica.2014.53015.

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Hogg, Glynn A., Reino E. Pulkki, and Pierre A. Ackerman. "Multi-Stem Mechanized Harvesting Operation Analysis – Application of Arena 9 Discrete-event Simulation Software in Zululand, South Africa." International Journal of Forest Engineering 21, no. 2 (June 2010): 14–22. http://dx.doi.org/10.1080/14942119.2010.10702594.

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Małopolski, Waldemar. "Cost Optimization in Manufacturing System with Unidirectional AGVs." Applied Mechanics and Materials 555 (June 2014): 822–28. http://dx.doi.org/10.4028/www.scientific.net/amm.555.822.

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This paper presents an example of optimization of an automated manufacturing system comprising a transport subsystem based on the automated guided vehicles (AGV). Number of resources in the manufacturing system and the number and location of the AGVs were subject of optimization. Profit maximization was assumed as an objective function. Arena and OptQuest software were used to build the simulation model and perform the optimization. The article describes an original solution for optimizing the number and cost of AGVs.
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Ramnath, B. Vijaya, Vishal Chandrasekhar, C. Elanchezhian, L. Bruce Selva Vinoth, and K. Venkatraman. "Value Stream Evaluation and Simulation to Improve Material Flow and Productivity." Applied Mechanics and Materials 612 (August 2014): 89–95. http://dx.doi.org/10.4028/www.scientific.net/amm.612.89.

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The main objective of this paper is to improve the productivity of a carburetor production processes using lean manufacturing technique. The current system of the carburetor production process has been mapped using electronic Value Stream Mapping (eVSM) tool which is a lean manufacturing tool and the wastages in the current system are identified. Then future state was drawn by using eVSM tool which has an enhanced process ratio by decreasing maximum possible waste in the production process. The current and future state of the carburetor production has been created as model and simulated using Arena software. The simulation shows a significant decrease in Non-Value added time and production lead time, thereby indicating increase in productivity and better work flow in production processes.
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Ucan, Emre, and Selcuk Nas. "Analysing Istanbul Strait Maritime Pilot Capacity by Simulation Technique." Journal of Navigation 69, no. 4 (December 23, 2015): 815–27. http://dx.doi.org/10.1017/s0373463315000909.

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Nautical services should be allocated efficiently as they have great resource costs. In this paper, the Marine Pilotage Service in the Istanbul Strait has been analysed by using Rockwell Arena Simulation Software. The purpose of the study is to find the required number of marine pilots for vessel traffic flow in the Istanbul Strait. It is evaluated thoroughly by a stochastic, dynamic, discrete simulation for safe service standards in pilotage. The result of the paper shows that discrete simulation technique is an efficient and reliable way of solving complex techno-nautical service allocation problems as proven by experts. As the discrete simulation result data shows, most other techno-nautical services can also be modelled and optimised by using similar techniques. Areas like optimisation of the number of pilots, tugs, resource allocation problems, berthing area selections and many more complex and inherently stochastic problems can be reliably solved by simulation experiments.
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43

Shirazi, Babak. "Fast track system optimization of emergency departments: Insights from a computer simulation study." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 03 (August 23, 2016): 1650015. http://dx.doi.org/10.1142/s179396231650015x.

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Healthcare systems engineering in emergency departments (EDs) are developing rapidly in the world nowadays. Fast track (FT) as a rapid treatment system is considered to facilitate ED patient flow. To know how FT can improve the performance of ED, one should study the best configuration of resources for implementation of FT. This research presents a pattern for implementation of FT systems in hospital EDs using healthcare simulation paradigms. Simulation-based optimization model uses modeling and simulation capabilities to generate configurations of FT resources and its patient prioritization pattern with Arena[Formula: see text] simulation software. A decision making method is used to select the optimal configuration based on pre-specified performance indicators. The results imply that the proposed FT implementation pattern is efficient and capable of improving patient flow.
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44

Kukla, S. "Improving Quality and Occupational Safety on Automated Casting Lines." Archives of Foundry Engineering 17, no. 3 (September 1, 2017): 69–72. http://dx.doi.org/10.1515/afe-2017-0093.

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Abstract The paper presents a practical example of improving quality and occupational safety on automated casting lines. Working conditions on the line of box moulding with horizontal mould split were analysed due to low degree of automation at the stage of cores or filters installation as well as spheroidizing mortar dosing. A simulation analysis was carried out, which was related to the grounds of introducing an automatic mortar dispenser to the mould. To carry out the research, a simulation model of a line in universal Arena software for modelling and simulation of manufacturing systems by Rockwell Software Inc. was created. A simulation experiment was carried out on a model in order to determine basic parameters of the working system. Organization and working conditions in other sections of the line were also analysed, paying particular attention to quality, ergonomics and occupational safety. Ergonomics analysis was carried out on manual cores installation workplace and filters installation workplace, and changes to these workplaces were suggested in order to eliminate actions being unnecessary and onerous for employees.
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Levi, Lion, David Bregman, Hana Geva, and Moshe Revach. "Hospital Disaster Management Simulation System." Prehospital and Disaster Medicine 13, no. 1 (March 1998): 22–27. http://dx.doi.org/10.1017/s1049023x00032994.

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AbstractIntroduction:Theoretically, simulation of disastrous situations has many advantages in that it prepares hospital staff to cope with the real scenario. It is a challenge to create the database and custom-making a friendly software while still keeping it representative of a real situation. This article describes experience with developing and implementing the use of simulation software as a drilling technique used by Israeli hospitals.Methods:The application was developed using SIMAN/ARENA software. Knowledge and a database for a basic multi-casalty incident (MCI) were developed in the pilot phase. It contains detailed description of the casualties which can be compared with the real hospital capabilities (staff and infrastructure). A consensus committe decided the crucial model issues and estaalished the thresholds for quality performance indicators. Interfaces to the each hospital's information management systems (IMS) were developed and the various output documents of each exercised step were updated. Before drilling, the hospital managerial staff received notice and had to prepare the data on the anticipated resources required The simulation staff, as well as representatives from the hospitals, then conducted the limited scale drill (LSD).Results:During the LSD, the trained hospital staff were given two types of input: 1) copies of reports on patients entering the stations and had to enter them into its IMS; and 2) timed telephone notifications of problems in each station. During a 90 minutes drill, there were about 15 timely reports and 20 telephone problems. The evaluation of the LSD were based mainly on the following: 1) observing the staff solving various problems; 2) constructing a detailed picture of the situation; and 3) measuring the effectiveness of the hospital IMS. The drill ended with a discussion. Lessons are drawn from each drill in order to find methods for optimizing the conduct of the hospital. An animation tool proved to be useful in describing bottle necks in emergency room, diagnostic department, and operating rooms.Conclusion:Simulation techniques and a preparatory limited scale drill have advantages in evaluating and improving preparedness of hospitals for managing an MCI before a full scale drill is carried out.
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de Vreede, Gert-Jan, Alexander Verbraeck, and Daniel T. T. van Eijck. "Integrating the Conceptualization and Simulation of Business Processes: A Modeling Method and Arena Template." SIMULATION 79, no. 1 (January 2003): 43–55. http://dx.doi.org/10.1177/0037549703254725.

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47

Valente, Sarah Abuhab, Eduardo Christiano Cecone, Luiz Alberto Paoliello Alvim, and Douglas Alves Cassiano. "Optimization of a Semiconductor Manufacturing Process Using a Reentrant Model." Exacta 13, no. 2 (December 21, 2015): 275. http://dx.doi.org/10.5585/exactaep.v13n2.5850.

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The scope of this work is the simulation of a semiconductor manufacturing model in Arena® software and subsequent optimization and sensitivity analysis of this model. The process is considered extremely complex given the amount of steps, machinery, parameters, and highly reentrant characteristics, which makes it difficult to reach stability of production process. The production model used was the Intel Five-Machine Six-Step Mini-fab developed by Karl Kempf (1994). It was programmed in Arena® and optimized by OptQuest®, an add-on. We concluded that variation in the number of machines and operators reflects on cycle time only if there is an increase of one unit of resource more than obtained in the optimization. As a result, we highlighted the scenario where a reduction in cycle time stood out, in which one extra unit was added in the second machine group, representing a 7.41% reduction in cycle time.
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48

Gorgich, Masoud. "A Targeted Study on Simulation and Optimization of Shipping Systems." Journal of Computational and Theoretical Nanoscience 16, no. 12 (December 1, 2019): 5282–86. http://dx.doi.org/10.1166/jctn.2019.8600.

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Over the last four decades, containers have found their special place as suitable and necessary tool for packaging in maritime transportation. With growing increase in container manufacturing, numbers of container terminals and their competition become significant. This study aims to simulate the container terminal operation and its improvement. Simulation is carried out by Arena software. For this purpose, first base model with primary assumptions is simulated and results are obtained. At the end of first stage several scenarios are defined and using the software, the required results are obtained. Then, we seek a way to improve the existing model to obtain better results. There are several methods for this. Since in this system there are several main factors that affect performance of the entire system, decision making management, simulation and optimization methods in shipping systems based on design of experiment are used. Then the effect of the factors on evaluation function, intended by a decision maker, are determined. After simulation, the obtained results are examined by the Taguchi method to determine which level in each factor is the best state and which factor is more effective in the entire process. Results demonstrated that number of berths are the most important factor in the process improvement and it should receive more attention.
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Habeeb, Basma Refaat, Zijian Guo, and Xiangqun Song. "A Simulation Model to Determine the Capacity of a Y-Type Waterway Intersection for a Real Seaport." Open Transportation Journal 12, no. 1 (January 22, 2018): 8–20. http://dx.doi.org/10.2174/1874447801812010008.

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Introduction:In this paper, Arena software has been used to simulate a complex system, which contains traffic rules, a tidal window, weather conditions and different fleet types.Methods:We have determined the capacity of a Y-type waterway intersection with a sailing speed of 10 knots for the Panjin seaport in China. Moreover, we chose a sailing speed of 11 knots, which gives a safe squat value at high tide level whose cumulative frequency for channel accessibility is larger than or equal to 80%.Results:The results show that the capacity of the waterway reduced with a sailing speed of 11 knots, because of waiting for a long time to meet a high tide level.
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Swate, Khelina, Goodwell Muyengwa, and Yvonie N. Mawane. "Modelling and Simulation of a Shearcut Process Flow at a Steel Processing Company." MATEC Web of Conferences 312 (2020): 05003. http://dx.doi.org/10.1051/matecconf/202031205003.

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Modelling and simulation of industrial systems have become a conventional method for productivity improvement through optimizing design, operation, performance and troubleshooting. This paper analyses the current Shearcut process flow through modelling and simulation. A case study research was undertaken at a steel processing company that transform steel coils into sheets, plates, slits, tubes, blanks and various roofing products. Two models were created using Arena software. The models were a representation of the process flow found in the Shearcut warehouse. The first model was developed from data obtained from production records and time studies that were carried out on some of the operations. Bottleneck stations and non-value adding operations were identified. The second model was created with some improvements that included reduced non-value adding times. Results from the second model had an improved output. This paper contributes to the use of computer simulation as a tool to improve productivity.
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