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Relevant bibliographies by topics / Discrete-Event System Simulation Approach

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Academic literature on the topic 'Discrete-Event System Simulation Approach'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Discrete-Event System Simulation Approach"

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Flood, Ian, and Kenneth Worley. "An artificial neural network approach to discrete-event simulation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9, no. 1 (January 1995): 37–49. http://dx.doi.org/10.1017/s0890060400002079.

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AbstractThis paper proposes and evaluates a neural network-based method for simulating manufacturing processes that exhibit both noncontinuous and stochastic behavior processes more conventionally modeled, using discrete-event simulation algorithms. The incentive for developing the technique is its potential for rapid execution of a simulation through parallel processing, and facilitation of the development and improvement of models particularly where there is limited theory describing the dependence between component processes. A brief introduction is provided to a radial-Gaussian neural network architecture and training process, the system adopted for the work presented in this paper. A description of the basic approach proposed for applying this technology to simulation is then described. This involves the use of a modularized neural network approach to model construction and the prediction of the occurrence of events using information retained from several previous states of the simulation. A class of earth-moving systems, comprising a push-dozer and a fleet of scrapers, is used as the basis for assessing the viability and performance of the proposed approach. A series of experiments show the neural network to be capable of both capturing the characteristic behavior and making an accurate prediction of production rates of scraper-based earth-moving systems. The paper concludes with an indication of some areas for further development and evaluation of the technique.

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Miao, Y. P. "Workflow Simulation Modeling Based on Discrete Event Approach." Advanced Materials Research 69-70 (May 2009): 700–704. http://dx.doi.org/10.4028/www.scientific.net/amr.69-70.700.

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In order to apply simulation to analysis, evaluation and optimization of the workflow performances, workflow process model for simulation is firstly formalized. Then workflow simulation model is bulit based on discrete event approach. Finally the supporting software tool system has been developed which shows feasibility of the proposed method.

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Yao, Ming Hai, Xiao Ji Chen, and Lei Zuo. "Customer Arrival Event Processing on Computer Simulation for Discrete Event System." Applied Mechanics and Materials 513-517 (February 2014): 2133–36. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2133.

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Discrete event systems are widely used in the production and life, it is difficult to use conventional differential equations, differential equations, and other models to describe, the theoretical analysis method is difficult to obtain analytical solutions, computer simulation techniques to solve these problems provides an effective means. Arrival event is a typical discrete system event; on arrival event handling is always one of the difficulties of computer simulation, in this paper, banking customer arrival system as an example to study. For banks queuing system, customers arrive to obey the parameter of Poisson distribution is, the probability mass function through the distribution curves and cumulative distribution function curves to study the distribution of customer arrival; construction of single-queue multi-server system of customer arrival event subroutine flow chart, and processing steps will be described. Content of this study, it is suitable for the developed area bank to adopt "number ticket machine" approach to service.

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She, Ji, Woodam Chung, and David Kim. "Discrete-Event Simulation of Ground-Based Timber Harvesting Operations." Forests 9, no. 11 (October 31, 2018): 683. http://dx.doi.org/10.3390/f9110683.

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Operational studies are necessary to support production and management decisions of forest industries. A time study (TS) approach is widely used in timber harvesting operations to understand the performance of individual harvesting machines as well as the entire system. However, several limitations of the TS approach include the use of generalized utilization rates, incapability of capturing interactions among equipment, and model extrapolation in sensitivity analysis. In this study, we demonstrated the use of discrete event simulation (DES) techniques in modeling a ground-based timber harvesting system, and compared the DES results with those of the TS model developed with the same observed data. Although both TS and DES models provided similar estimation results for individual machine cycle times and productivities, the estimated machine utilization rates were somewhat different due to the difference in synthesizing machine processes in each approach. Our sensitivity analysis and model expansion to simulate a hypothetical harvesting system suggest that the DES approach may become an appropriate method for analyzing complex systems especially where interactions among different machine processes are unknown.

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Kamrud, Alexander J., Douglas D. Hodson, Gilbert L. Peterson, and Brian G. Woolley. "Unified behavior framework in discrete event simulation systems." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 14, no. 4 (January 10, 2017): 471–81. http://dx.doi.org/10.1177/1548512916683450.

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Intelligent agents provide simulations a means to add lifelike behavior in place of manned entities. When implemented, typically a single intelligent agent model (or approach to defining decision making), such as rule-based, behavior trees, neural networks, etc., is selected. This choice introduces restrictions into what behaviors agents can manifest, and can require significant testing in edge cases. This paper presents the incorporation and application of the Unified Behavior Framework (UBF) into the Advanced Framework for Simulation, Integration, and Modeling environment. The UBF provides the flexibility to implement any and all behavior-based systems, allowing the developer to rapidly assemble a decision making agent that leverages multiple paradigms or approaches. The UBF achieves this by leveraging several key software engineering principles: modular design, scalability through reduced code complexity, simplified development and testing through abstraction, and the promotion of code reuse. The use of UBF to define intelligent agents within a 2v2 Integrated Air Defense System is demonstrated.

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Aliyu, Hamzat Olanrewaju, Oumar Maïga, and Mamadou Kaba Traoré. "The high level language for system specification: A model-driven approach to systems engineering." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 01 (March 2016): 1641003. http://dx.doi.org/10.1142/s1793962316410038.

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We present HiLLS (High Level Language for System Specification), a graphical formalism that allows to specify Discrete Event System (DES) models for analysis using methodologies like simulation, formal methods and enactment. HiLLS’ syntax is built from the integration of concepts from System Theory and Software Engineering aided by simple concrete notations to describe the structural and behavioral aspects of DESs. This paper provides the syntax of HiLLS and its simulation semantics which is based on the Discrete Event System Specification (DEVS) formalism. From DEVS-based Modeling and Simulation (M&S) perspective, HiLLS is a platform-independent visual language with generic expressions that can serve as a front-end for most existing DEVS-based simulation environments with the aid of Model-Driven Engineering (MDE) techniques. It also suggests ways to fill some gaps in existing DEVS-based visual formalisms that inhibit complete specification of the behavior of complex DESs. We provide a case study to illustrate the core features of the language.

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Chaos, Dictino, Joaquín Aranda, Rocío Munoz, José Manuel Díaz, and Jesús M. de la Cruz. "DISCRETE EVENT BASED APPROACH TO THE SIMULATION OF A CONTINUOUS NAVAL SYSTEM." IFAC Proceedings Volumes 40, no. 17 (2007): 223–28. http://dx.doi.org/10.3182/20070919-3-hr-3904.00040.

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Pohlmann, Werner. "A fixed point approach to parallel discrete event simulation." Acta Informatica 28, no. 7 (July 1991): 611–29. http://dx.doi.org/10.1007/bf01178679.

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Ricker, S. L., N. Sarkar, and K. Rudiet. "A discrete-event systems approach to modeling dextrous manipulation." Robotica 14, no. 5 (September 1996): 515–25. http://dx.doi.org/10.1017/s0263574700020002.

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SUMMARYTo perform dextrous manipulation efficiently, it is necessary to coordinate the interactions of many component processes. This paper investigates one approach to coordination: discrete-event systems. The applicability of discrete-event systems to the modeling of dextrous manipulation tasks is studied. Discrete-event control theory offers formal methods for determining whether a coordinator of the components can be generated. A representative dextrous manipulation task, the planar Grasp-Lift-Replace task of Howe and Cutkosky, is presented as a discrete-event process. The task is extended to include two-fingered exploratory procedures. The effectiveness of the discrete-event system approach is illustrated through simulations of several test cases.

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Dayarathna, Vidanelage L., Hebah Mismesh, Mohammad Nagahisarchoghaei, and Aziz Alhumoud. "A DISCRETE EVENT SIMULATION (DES) BASED APPROACH TO MAXIMIZE THE PATIENT THROUGHPUT IN OUTPATIENT CLINIC." Engineering Science & Technology Journal 1, no. 1 (June 23, 2020): 1–11. http://dx.doi.org/10.51594/estj.v1i1.36.

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The healthcare system is a complex system which exhibits conditions of uncertainty, ambiguity emergence that incurs incoming patient congestion. Discrete event simulation (FlexSim) is considered as a viable decision support tool in analyzing a system for improvement. Using a data-driven discrete event simulation approach, this paper portrays a comprehensive analysis to maximize the number of patients in an on-campus clinic, located at Mississippi State University. The outcome of the analysis of current system exhibits that deploying a few nurse practitioners results in bottlenecks which decreases the systems’ throughput substantially due to the overall longer patients’ waiting time. Access to the laboratory is characterized through multi-server queuing network, arrival process is followed discrete distributions, and batch sizes and arrival times are stochastic in nature. In an effort to plummet inpatient congestion at the outpatient clinic, by using empirically calibrated simulation model, we will figure out the best balance between the number of the lab technician and incoming patient during working hour. An analysis of optimal solutions is demonstrated, which is followed by recommendation and avenues for future research.

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Dissertations / Theses on the topic "Discrete-Event System Simulation Approach"

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Helal, Magdy. "A hybrid system dynamics-discrete event simulation approach to simulating the manufacturing enterprise." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002264.

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Wang, Yan. "An integrative process mining approach to mine discrete event simulation model from event data." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0183/document.

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L'inférence d’un système, par la reconstruction de la structure à partir de l’analyse de son comportement, est reconnue comme un problème critique. Dans la théorie des systèmes, la structure et le comportement se situent aux extrémités de la hiérarchie qui définit la connaissance du système. L'inférence d’un système peut être également considérée comme l’escalade de la hiérarchie depuis la connaissance de bas niveau vers la connaissance de plus haut niveau. Ceci n'est possible que sous des conditions maitrisées et justifiées. Dans cette thèse, une nouvelle méthode d'inférence de système est proposée. La méthode proposée étend la technique Process Mining pour extraire des connaissances depuis les données des événements du système. Les aspects de modularité, de fréquence et de synchronisation peuvent être extraits des données. Ils sont intégrés ensemble pour construire un modèle Fuzzy-Discrete Event System Specification (Fuzzy-DEVS). La méthode proposée, également appelée méthode D2FD (Data to Fuzzy-DEVS), comprend trois étapes: (1) l’extraction depuis des journaux d’évènements (registres) obtenus à partir des données générées par le système en utilisant une approche conceptuelle; (2) la découverte d'un système de transition, en utilisant des techniques de découverte de processus; (3) l'intégration de méthodes Fuzzy pour générer automatiquement un modèle Fuzzy-DEVS à partir du système de transition. La dernière étape est de l’implémenter cette contribution en tant que plugin dans l'environnement Process Mining Framework (ProM). Afin de valider les modèles construits, une approximation de modèle basée sur le morphisme et une méthode prédictive intégrée à Granger Causality sont proposées. Deux études de cas sont présentées dans lesquelles le modèle Fuzzy-DEVS est déduit à partir de données réelles, où l'outil SimStudio est utilisé pour sa simulation. Les modèles ainsi construits et les résultats de simulation sont validés par comparaison à d'autres modèles
System inference, i.e., the building of system structure from system behavior, is widely recognized as a critical challenging issue. In System Theory, structure and behavior are at the extreme sides of the hierarchy that defines knowledge about the system. System inference is known as climbing the hierarchy from less to more knowledge. In addition, it is possible only under justifying conditions. In this thesis, a new system inference method is proposed. The proposed method extends the process mining technique to extract knowledge from event data and to represent complex systems. The modularity, frequency and timing aspects can be extracted from the data. They are integrated together to construct the Fuzzy Discrete Event System Specification (Fuzzy-DEVS) model. The proposed method is also called D2FD (Data to Fuzzy-DEVS) method, and consists of three stages: (1) extraction of event logs from event data by using the conceptual structure; (2) discovery of a transition system, using process discovery techniques; (3) integration of fuzzy methods to automatically generate a Fuzzy-DEVS model from the transition system. The last stage is implemented as a plugin in the Process Mining Framework (ProM) environment. In order to validate constructed models, morphism-based model approximation and predictive method integrated with Granger Causality are proposed. Two case studies are presented in which Fuzzy-DEVS model is inferred from real life data, and the SimStudio tool is used for its simulation. The constructed models and simulation results are validated by comparing to other models

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Hosking, Matthew R. "Testability of a swarm robot using a system of systems approach and discrete event simulation /." Online version of thesis, 2009. http://hdl.handle.net/1850/11215.

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Wu, Tai-Chi. "Definition, analysis, and an approach for discrete-event simulation model interoperability." Diss., Mississippi State : Mississippi State University, 2005. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Salama, Abubakary. "Haulage system optimization for underground mines : A discrete event simulation and mixed integer programming approach." Doctoral thesis, Luleå tekniska universitet, Geoteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-16925.

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In coming decades, many underground mines will operate at greater depths, which will affect many operational factors such as increased rock stress, longer haulage distances, and higher energy consumption, which potentially can generate lower production rates. The increased rock stresses may lead to smaller sized openings, further restricting the size of loading and hauling equipment that can be used. Longer hauling distances result in increased energy consumption for loading and hauling equipment, and in turn, high energy consumption increases heat and gas emissions for diesel equipment. Heat emission increases ventilation costs as large volumes of air must be circulated to cool diesel engines and simultaneously maintain adequate air quality for personnel.The research presented in this thesis was carried out to evaluate and analyze different haulage systems, including diesel and electric trucks, shafts, and belt conveyors. The aim was to determine how these various material-handling equipment may produce the desired production objectives and lead to lower energy costs. The net present value (NPV) of the mine plan at increasing mining rates and altered commodity prices was also analyzed. The method used was the combination of discrete event simulation and mixed integer programing. Discrete event simulation was used to estimate mine production for different haulage systems, and the results were used to compute appropriate mining costs for each hauling option. Mixed integer programming (MIP) was then used to generate the optimal production schedule and mine plan. The analysis showed that an increasing use of electric trucks will have positive effects on production improvement because electric trucks have shorter cycle times than their diesel counterparts. Therefore, electric trucks can make more cycles than diesel trucks in the same period of time. The analysis also showed that low-profile equipment will remain viable for haulage in high stress environments that result in smaller sized mine openings. In addition, when friction hoist systems are used, rope speed and skip payload play important roles in production improvement. With belt conveyors, production improvements can be obtained by increasing surcharge angle and running the belt at a low speed. For long hauls, the troughing angle should be increased and the belt operated at a higher speed.Energy costs increase with depth and are higher for diesel trucks compared with other haulage options. At 1000-meter depths and with current energy prices, energy costs for diesel trucks, electric trucks, belt conveyor, and shaft account for 62%, 54%, 25%, and 14% of the total haulage costs, respectively. These findings indicate that minimizing the usage of diesel engine machines will have greater benefits towards cost reductions in an era of increasing energy prices and greater mine depths. Diesel machines also have high heat and gas emissions, which increases operating costs particularly for deeper mines where heat emissions increase ventilation costs.Changes in mine plans based on changing commodity prices at a fixed mining rate resulted in an increase in the NPV from $96M to ultimately $755M for the studied case. An increase in mining rate from 300,000 to 450,000 tonnes raised the NPV to $773.45M. This finding indicates that even though an increase in mining rates increases costs, companies may find that pursuing such a course is beneficial at certain commodity prices, especially when the price is elevated. When the price falls, increasing mining rate may need a detail evaluation of other parameters such as grade, recovery, and investment changes.The evaluation showed that the method of combining discrete event simulation and mixed integer programming can yield a feasible solution and better understanding of the operational systems and reduce risks in selecting a system before it is implemented. This study provides mining companies an analysis of the use of underground haulage systems that can aid decision making.
Godkänd; 2014; 20141021 (abusal); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Abubakary Salama Ämne: Gruv- och Berganläggningsteknik/Mining and Rock engineering Uppsats: Haulage System Optimization for Underground Mines Opponent: Professor Jazek Paraszczak, Université Laval, Canada Ordförande: Professor Håkan Schunnesson, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Tid: Torsdag den 27 november 2014 kl 10.00 Plats: F1031, Luleå tekniska universitet

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Petersson, Martin. "Impact evaluation of an automatic identificationtechnology on inventory management : A simulation approach with the focus on RFID." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-41387.

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Automatic identification system is a prominent technology used in warehouses to give managers real time information of their products and assistance to warehouse employees in keeping an accurate inventory record. This kind of assistance is needed as an inaccurate inventory leads to profit loss due to misplacement or other mistakes. This project cooperated with an organization called Stora Enso specifically one of their forest nursery to find a solution to improve their inventory management system. Their current inventory system is a manual process which leads to mistakes occurring that affects the inventory accuracy. This thesis project evaluates automatic identification systems to observe if the technology is a possible solution and aims to answer the research question ”What are the significant impacts an automatic identification system has on an inventory management system?”. From the automatic identification evaluation one system is picked for further evaluation and due to its advantages radio frequency identification (RFID) is picked. To evaluate RFID in a warehouse setting a discrete-event simulation was created that simulates the forest nursery’s warehouse. The simulation is then used to evaluate the impact of different RFID implementations and their respective cost. The simulation results show that just a simple RFID implementation can improve inventory accuracy and remove some of the mistakes a manual system has with a relatively low direct cost. It also shows that a full RFID implementation that gives full visibility of a warehouse can almost remove inventory mistakes however the cost analysis shows that it requires a large investment.

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Alabdulkarim, Abdullah A. "Understanding the effects of different levels of product monitoring on maintenance operations : a simulation approach." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8397.

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The move towards integrating products and services has increased significantly. As a result, some business models, such as Product Service Systems (PSS) have been developed. PSS emphasises the sale of use of the product rather than the sale of the product itself. In this case, product ownership lies with the manufacturers/suppliers. Customers will be provided with a capable and available product for their use. In PSS, manufacturers/suppliers are penalised for any down time of their product according to the PSS contract. This has formed a pressure on the service providers (maintenance teams) to assure the availability of their products in use. This pressure increases as the products are scattered in remote places (customer locations). Authors have urged that different product monitoring levels are applied to enable service providers to monitor their products remotely allowing maintenance to be performed accordingly. They claim that by adopting these monitoring levels, the product performance will increase. Their claim is based on reasoning, not on experimental/empirical methods. Therefore, further experimental research is required to observe the effect of such monitoring levels on complex maintenance operations systems as a whole which includes e.g. product location, different types of failure, labour and their skills and locations, travel times, spare part inventory, etc. In the literature, monitoring levels have been classified as Reactive, Diagnostics, and Prognostics. This research aims to better understand and evaluate the complex maintenance operations of a product in use with different levels of product monitoring strategies using a Discrete Event Simulation (DES) approach. A discussion of the suitability of DES over other techniques has been provided. DES has proven its suitability to give a better understanding of the product monitoring levels on the wider maintenance system. The requirements for simulating a complex maintenance operation have been identified and documented. Two approaches are applied to gather these generic requirements. The first is to identify those requirements of modelling complex maintenance operations in a literature review. This is followed by conducting interviews with academics and industrial practitioners to find out more requirements that were not captured in the literature. As a result, a generic conceptual model is assimilated. A simulation module is built through the Witness software package to represent different product monitoring levels (Reactive, Diagnostics, and Prognostics). These modules are then linked with resources (e.g. labour, tools, and spare parts). To ensure the ease of use and rapid build of such a complex maintenance system through these modules, an Excel interface is developed and named as Product Monitoring Levels Simulation (PMLS). The developed PMLS tool needed to be demonstrated and tested for tool validation purposes. Three industrial case studies are presented and different experimentations are carried out to better understand the effect of different product monitoring levels on the complex maintenance operations. Face to face validation with case companies is conducted followed by an expert validation workshop. This work presents a novel Discrete Event Simulation (DES) approach which is developed to support maintenance operations decision makers in selecting the appropriate product monitoring level for their particular operation. This unique approach provides numerical evidence and proved that the higher product monitoring level does not always guarantee higher product availability.

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Maggelet, Nathan Philip. "A Systematic Approach for Redesigning Parking Systems for an Urban Campus Using Discrete Event Simulation." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1374143894.

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Viana, Joe. "The development of a combined simulation approach in a sexual health context : combining discrete event and system dynamics simulation to form a composite model." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/191859/.

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Sexually Transmitted Infections (STIs) are a priority of many health services. Chlamydia Trachomatis (Chlamydia) is one of the most common STIs in the world. Chlamydia can have serious consequences for men and women in the form of infertility and particularly in women has been associated with Pelvic Inflammatory Disease (PID). A System Dynamics (SD) model of Chlamydia prevalence has been constructed to evaluate different screening strategies. The SD model incorporates risk groups, ageing, gender, heterosexual and homosexual relationships and migration in and out of the area of interest. A Discrete Event Simulation (DES) model has been constructed of the Genito-urinary Medicine (GUM) department at St Mary’s Hospital, Portsmouth, the department that treats patients presenting with STIs to enable healthcare professionals evaluate different GUM configurations. A composite model has been developed in which the SD model provides the demand (number of patients) to be treated in the GUM DES model each month. The DES model transforms the demand generated by the SD model into patient arrival patterns based on historically recorded data. The DES model processes the demand based on its current configuration and provides the number of treated patients back to the SD model. The DES model and the SD model can be run independently as stand-alone models or in the composite state through a simple Excel user interface. Results from each model are presented and model development discussed. The simulation models were developed in close collaboration with healthcare professionals. The models were informed by other methodologies including: regression analysis of socioeconomic data, geographical referencing of infection data and a behavioural survey to identify behaviours associated with STI infection

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Aurelius, Gustaf, and Mattias Ingvarsson. "Simulation of Production Flow : A simulation-based approach to evaluate and optimize future production scenarios." Thesis, KTH, Industriell produktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254413.

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This master thesis is the last part of the master program Production Engineering and Management at the Royal Institute of Technology, KTH, in Stockholm. The thesis is conducted at Exeger Operations AB, in short Exeger. The company is in an expansion phase and wants to prepare for future production expansion. Thus, a simulation capability to test future production scenarios was desirable. The problem definition was defined by the company together with the authors and led to a literature study within simulation, TPS and Lean manufacturing. Following the literature study, a current state map was produced to achieve sufficient understanding of the production flow at the company. A simulation model was then built. The model was used to test three different ”what-if” scenarios. Buy or Optimize, Future ratio 3:1:1 and Buy or SMED. The authors’ findings in the Buy or Optimize scenario suggest that optimizing the process time in the printers is far better, from multiple perspectives, than investing in new machinery. A 3:1:1 ratio of printers, sinter 1 and assembly station was developed using the simulation model to achieve leveled production flow of these specific processes. Lastly, conducting a SMED on the sinter 1 machine, the setup-,and wait-times achieved a theoretical reduction up to 75 % by altering the SOP and allocating additional preparatory space, in accordance with Lean philosophy. This change would offer the same improvement to a full-scale production as investing in a new sinter 1 according to the simulation model. Future work may consist of Layout Planning and adopting the simulation model to new prerequisites.

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Books on the topic "Discrete-Event System Simulation Approach"

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A, Wall James, ed. Discrete event simulation: A practical approach. Boca Raton: CRC Press, 1993.

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Pooch, Udo W. Discrete event simulation: A practical approach. Boca Raton: CRC Press, 1993.

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Wainer, Gabriel A. Discrete-event modeling and simulation: A practitioner's approach. Boca Raton: CRC Press, 2009.

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Banks, Jerry. Discrete-event system simulation. 2nd ed. Upper Saddle River, N.J: Prentice Hall, 1996.

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Banks, Jerry. Discrete-event system simulation. 5th ed. Upper Saddle River: Prentice Hall, 2010.

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Banks, Jerry. Discrete-event system simulation. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 2001.

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Reed, Daniel A. Parallel discrete event simulation: A shared memory approach. [Washington, DC: National Aeronautics and Space Administration, 1987.

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Reed, Daniel A. Parallel discrete event simulation: A shared memory approach. [Washington, DC: National Aeronautics and Space Administration, 1987.

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Brailsford, Sally, Leonid Churilov, and Brian Dangerfield, eds. Discrete-Event Simulation and System Dynamics for Management Decision Making. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118762745.

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Birtwistle, G. M. DEMOS, a system for discrete event modelling on simula. New York: Springer-Verlag, 1987.

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Book chapters on the topic "Discrete-Event System Simulation Approach"

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Uhrmacher, A. M. "A System Theoretic Approach to Constructing Test Beds for Multi-Agent Systems." In Discrete Event Modeling and Simulation Technologies, 315–39. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3554-3_15.

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Barros, F. J. "Representation of Dynamic Structure Discrete Event Models: A Systems Theory Approach." In Discrete Event Modeling and Simulation Technologies, 167–85. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3554-3_9.

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Naim, M. M., and S. M. Hoh. "Use of Discrete Event Simulation in Evaluating FMS Performance." In A Systems Approach to AMT Deployment, 109–23. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3406-0_7.

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Vörös, Jozef. "The State Space Approach to the Analysis of Discrete Event Dynamic Systems." In Advances in Simulation, 22–27. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_2.

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Gönül-Sezer, Eylül Damla, and Zeynep Ocak. "Comparison of System Dynamics and Discrete Event Simulation Approaches." In Advances in Intelligent Systems and Computing, 69–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31295-8_5.

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Landa, Paolo, Michele Sonnessa, Elena Tànfani, and Angela Testi. "Managing Emergent Patient Flow to Inpatient Wards: A Discrete Event Simulation Approach." In Advances in Intelligent Systems and Computing, 333–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26470-7_17.

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Degenring, Daniela, Mathias Röhl, and Adelinde M. Uhrmacher. "Discrete Event Simulation for a Better Understanding of Metabolite Channeling - A System Theoretic Approach." In Computational Methods in Systems Biology, 114–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36481-1_10.

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Greenwood, Allen G. "An Approach to Represent Material Handlers as Agents in Discrete-Event Simulation Models." In Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 98–109. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39387-2_9.

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Lanese, Ivan, Iain Phillips, and Irek Ulidowski. "An Axiomatic Approach to Reversible Computation." In Lecture Notes in Computer Science, 442–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45231-5_23.

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AbstractUndoing computations of a concurrent system is beneficial in many situations, e.g., in reversible debugging of multi-threaded programs and in recovery from errors due to optimistic execution in parallel discrete event simulation. A number of approaches have been proposed for how to reverse formal models of concurrent computation including process calculi such as CCS, languages like Erlang, prime event structures and occurrence nets. However it has not been settled what properties a reversible system should enjoy, nor how the various properties that have been suggested, such as the parabolic lemma and the causal-consistency property, are related. We contribute to a solution to these issues by using a generic labelled transition system equipped with a relation capturing whether transitions are independent to explore the implications between these properties. In particular, we show how they are derivable from a set of axioms. Our intention is that when establishing properties of some formalism it will be easier to verify the axioms rather than proving properties such as the parabolic lemma directly. We also introduce two new notions related to causal consistent reversibility, namely causal safety and causal liveness, and show that they are derivable from our axioms.

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Davoli, Giovanni, and Riccardo Melloni. "A Proposed Approach to Extend the Economic Order Quantity (EOQ) Model Using Discrete Event Simulation." In Advances in Production Management Systems. Value Networks: Innovation, Technologies, and Management, 45–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33980-6_6.

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Conference papers on the topic "Discrete-Event System Simulation Approach"

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"INTRODUCTION OF RFID TECHNOLOGIES IN A MANUFACTURING SYSTEM - A Discrete Event Simulation Approach." In Special Session on Manufacturing Simulation and Industrial Engineering. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003646805230529.

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Bhatti, Ghulam M., and Pirooz Vakili. "Parallel/distributed simulation via event-reservation approach for parametric study of discrete event systems." In AeroSense '97, edited by Alex F. Sisti. SPIE, 1997. http://dx.doi.org/10.1117/12.276707.

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Landtsheer, Renaud De, Gustavo Ospina, Philippe Massonet, Christophe Ponsard, Stephan Printz, Lasse Härtel, and Johann Philipp von Cube. "A Discrete Event Simulation Approach for Quantifying Risks in Manufacturing Processes." In 5th International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0005752403130322.

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Hosking, Matthew, and Ferat Sahin. "Testability of a swarm robot using a system of systems approach and discrete event simulation." In 2010 5th International Conference on System of Systems Engineering (SoSE). IEEE, 2010. http://dx.doi.org/10.1109/sysose.2010.5544074.

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Antoine-Santoni, T., J. F. Santucci, E. De Gentili, and B. Costa. "DEVS-WSN : A discrete event approach for Wireless Sensor Network simulation." In 2008 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2008. http://dx.doi.org/10.1109/aiccsa.2008.4493637.

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Davidrajuh, Reggie. "Modeling Humanoid Robot as a Discrete Event System: A Modular Approach Based on Petri Nets." In 2015 3rd International Conference on Artificial Intelligence, Modelling & Simulation (AIMS). IEEE, 2015. http://dx.doi.org/10.1109/aims.2015.52.

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Galaske, Nadia, Erdal Tantik, and Reiner Anderl. "Discrete-Event Simulation Software for Modeling Flexibility-Driven Manufacturing Processes." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47411.

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In times of globalized markets and rapidly advancing technologies, companies are demanded to produce highly individualized products in shorter life cycles. This requires a certain flexibility in production processes, which, in turn, leads to a higher process complexity. In order to face these challenges, companies need to rely increasingly on the application of software tools for modeling and simulation of production systems. One of the most commonly used tools in the field of digital production planning and control is the discrete-event simulation (DES). A discrete-event simulation software allows production planners to create digital models of production systems and simulate process and material flows. It can be used not only to improve the design of production systems in the early stage of planning, but also to analyze changes in the system’s behavior during operative processes. In this paper, an event-based modeling and simulation software for flexibility-driven manufacturing processes in value-added process chains is developed. The software presented in this paper is aimed particularly at small and medium enterprises (SMEs) with low degree of automation and high product variety. The goal of this approach is to enable the modeling and simulation of manufacturing systems where the required manufacturing operations depend on production workers and vary with each production order. Using the approach described in this paper, a high variety of manufacturing process sequences in a flexible manufacturing system with different layouts, where material flows, worker paths, and part routings are not determined in fixed order, can be modeled, analyzed, and optimized.

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Clemente, M., M. P. Fanti, G. Iacobellis, and W. Ukovich. "A Discrete-Event Simulation Approach for the Management of a Car Sharing Service." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.75.

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Yu, Hong, Ajay Raghavan, Saman Mostafavi, Deokwoo Jung, Yukinori Sasaki, Tetsuyoshi Ogura, Akira Minegishi, and Yosuke Tajika. "A Blended System Dynamics-Discrete Event Physics-Based Model for Anomaly Detection in Cyber-Physical Manufacturing Systems." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24586.

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Abstract Being able to quickly detect anomalies and reason about their root causes in critical manufacturing systems can significantly reduce the analysis time to bring operations back online, thus reducing expensive unplanned downtime. Machine learning-based anomaly detection approaches often need significant amounts of labeled data for training and are challenging to scale for manufacturing deployments. A robust blended system dynamics and discrete event simulation physics-based modeling methodology is proposed for the task of automated anomaly detection. The blended model consists of discrete event simulation (DES) components for the discrete manufacturing process modeling, and system dynamics (SD) components for continuous variables. The methodology strikes a balance between the computational overhead for online monitoring and the level of details required to perform anomaly detection tasks. The implementation of models takes an object-oriented approach, allowing multiple components of a smart factory to be robustly described in a modular, extendable and reconfigurable manner. The proposed methodology is applied to and validated by data collected from a real commercial manufacturing plant. A production line is modeled with DES components and heat transfer is modeled with SD. The blended model is then utilized for anomaly detection. It is demonstrated that the model-based approach is effective not only for detecting but also explaining particular types of anomalies in a commercial discrete manufacturing system.

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Šitova, Irīna, and Jeļena Pečerska. "Integration of process mining techniques in simulation results analysis." In The 19th International Conference on Modelling and Applied Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.mas.008.

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The research is carried out in the area of analysis of simulation results. The aim of this research is to explore the applicability of process mining techniques, and to introduce the process mining techniques integration into results analysis of discrete-event system simulations. As soon as the dynamic discrete-event system simulation (DESS) is based on events list or calendar, most of simulators provide the events lists. These events lists are interpreted as event logs in this research, and are used for process mining. The information from the events list is analysed to extract process-related information and perform in-depth process analysis. Event log analysis verified applicability of the proposed approach. Based on the results of this research, it can be concluded that process mining techniques in simulation results analysis provide a possibility to reveal new knowledge about the performance of the system, and to find the parameter values providing the advisable performance.

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Reports on the topic "Discrete-Event System Simulation Approach"

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Bridgett, Richard J. Analysis of Employment of a Disaster Relief Damage Assessment System Using Discrete Event Simulation. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada493733.

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Nicol, D. M., M. M. Johnson, and A. S. Yoshimura. The IDES framework: A case study in development of a parallel discrete-event simulation system. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/563293.

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Alkadri, Mohamed. Freeway Control Via Ramp Metering: Development of a Basic Building Block for an On-Ramp, Discrete, Stochastic, Mesoscopic, Simulation Model within a Contextual Systems Approach. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1307.

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