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共 419 条记录，以下是341-350 订阅

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Integrated simulation, data mining, and optimization in Microsoft Excel 13

Integrated simulation, data mining, and optimization in Micr...

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Daniel H. Fylstra Frontline Systems Inc.

ISBN: (纸本)9781479920778

Analytic Solver Platform is a powerful, integrated toolset for Monte Carlo simulation, forecasting, data mining, and conventional and stochastic optimization, with models expressed in Microsoft Excel spreadsheet form. Three of its unique features are (i) fast Monte Carlo simulation that approaches the speed of custom programs in C/C++, (ii) data visualization and data mining methods applied to Monte Carlo simulation results, and (iii) very rich optimization tools ranging from general-purpose simulation optimization (with multi-core and GPU support) to stochastic linear programming and robust optimization. Models built in Excel with Analytic Solver Platform can be deployed on Windows or Linux servers (without Excel) and can support multiple concurrent users. This session will demonstrate how you can use Analytic Solver Platform to build your own analytic expertise, teach others using leading textbooks, build industrial-scale models, and communicate business results.

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Parallel simulation of large population dynamics 13

Parallel simulation of large population dynamics

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Cristina Montañola-Sales Josep Casanovas-Garcia Jose Maria Cela-Espin BAdriana Kaplan-Marcusan B. S. S. Onggo Universitat Politècnica de Catalunya-BarcelonaTech Barcelona Spain Universitat Autònoma de Barcelona Bellaterra SPAIN Lancaster University Lancaster UK

ISBN: (纸本)9781479920778

Agent-based modeling and simulation is a promising methodology that can be used in the study of population dynamics. We present the design and development of a simulation tool which provides basic support for modeling and simulating agent-based demographic systems. Our results prove that agent-based modeling can work effectively in the study of demographic scenarios which can help to better policy planning and analysis. Moreover, parallel environment looks suitable for the study of large-scale individual-based simulations of this kind.

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System implementation issues of dynamic discrete disaster decision simulation system (D4S2) - phase I 07

System implementation issues of dynamic discrete disaster de...

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simulation winter conference

作者： Shengnan Wu Larry J. Shuman Bopaya Bidanda Matthew Kelley Bryan Lawson Ken Sochats Carey D. Balaban Department of Industrial Engineering University of Pittsburgh Pittsburgh PA USA Visual Information Systems Center University of Pittsburgh PA USA School of Medicine University of Pittsburgh Pittsburgh PA USA

ISBN: (纸本)9781424413065

simulation has many advantages in modeling complex systems to facilitate decision making. In this research, an integrated computer system will be developed which incorporates an agent-based discrete event simulator, a geographic information system, a rule base, and interactive databases in addition to interfaces and other supporting components. The modules will seamlessly communicate with each other by exchanging a progression of data, and making a series of deductive decisions through embedded algorithms. This integrated system will be applied to disaster management planning and training and is designated Dynamic Discrete Disaster Decision simulation System (D 4 S 2 ). Here we address Phase I system implementation issues of D 4 S 2 which is under development.

关键词： Large-scale systems Analytical models Computational modeling Decision making Geographic Information Systems Databases Disaster management Medical simulation Discrete event simulation Computer simulation

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Modeling Voting decisions in Governance Networks for Agents with Heterogeneous Mental Models and Alternate Network Structures 2017

Modeling Voting Decisions in Governance Networks for Agents ...

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International conference of The-Computational-Social-Science-Society-of the-Americas (CSS)

作者： Zia, Asim Widener, Michael Metcalf, Sara Koliba, Christopher Univ Vermont Dept Community Dev & Appl Econ Burlington VT 05405 USA Univ Toronto Dept Geog & Planning Toronto ON Canada SUNY Buffalo Dept Geog Buffalo NY 14261 USA

ISBN: (纸本)9781450352697

Public(1) and private sector partnerships have proliferated to address wicked and complex planning problems, resulting in the rise of "governance networks." Governance networks draw actors from the public, private and non-profit sectors cutting across geographic, social and administrative boundaries. Empirical examples of governance networks include, but are not limited to, watershed partnerships, airshed partnerships, regional transportation and land-use planning networks and climate action partnerships. For this study of watershed governance networks, we develop agent-based models to examine how agents holding diverse beliefs interact under different assumptions for network structure. Using a simulation methodology, we address three research questions: (1) How do voting outcomes in watershed partnerships differ when planning proposals with low, medium and high scores on decision criteria regarding the environment, market and local government are introduced for discussion and voting by agents with heterogeneous mental models? (2) How sensitive are decision making outcomes to changes in the tolerance of a network members' beliefs to other members' beliefs in small world versus like-minded networks? (3) How sensitive are decision-making outcomes to changes in the average number of connections per agent in small world versus tolerance of belief difference in connections in like-minded networks? Results from a survey of watershed stakeholders are used to initialize the simulated beliefs of six stakeholder groups in an agent-based model: environmentalists, farmers, business people, government officials, and water and forestry experts. Simulated voting outcomes are sensitive to both stakeholder beliefs and simulated social networks among stakeholders. Increasing an agent's tolerance of other's beliefs increases the likelihood of majority or consensus voting on planning proposals. Counter to our expectations, simulated group consensus emerged more readily in small world n

关键词： Governance Networks Watershed Partnerships Agent Based Models Mental Models Network Science Voting Behavior

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simulation analysis of narrow-aisle order selection systems

Simulation analysis of narrow-aisle order selection systems

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simulation winter conference

作者： P.M. Mellerna C.A. Smith Mannesmann Demag Corporation Mannesmann Demag Corporation Grand Rapids MI USA

Selection of items to fill customer orders from systems of pallet rack or shelving arranged in rows with access by means of narrow aisles is becoming commonplace in many distribution centers. Such systems offer significant advantages in terms of space savings and utilization of the "cube" in distribution facilities. Narrow-aisle high-density order selection systems may tend, however, to have an adverse effect on selection productivity if not planned properly. This paper is a case study in the use of simulation as a tool for making informed decisions about the design of a narrow-aisle order selection system. Using hypothetical data, and a set of models developed in the SIMAN simulation language for one of the world's largest parts distribution centers, it examines the effect on selection productivity of three key factors in the design of a selection system: System Configuration,Stocking policy, Selection policy.

关键词： Analytical models Productivity Containers Automatic control Vehicle driving Human factors Switches Navigation Wire Frequency

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Cloud-Based Hybrid simulation Model for Optimizing Warehouse Yard Operations

Cloud-Based Hybrid Simulation Model for Optimizing Warehouse...

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simulation winter conference

作者： Mohammed Farhan Pascalin Ngoko Farouq Halawa Raashid Mohammed Global Engineering Support Services *** Seattle WA USA

Fulfillment centers in the E-commerce industry are highly complex systems that houses inventory and fulfill customer orders. One of the key processes at these centers involves translating customer demands into trucks and yard operations. Truck yards with operational issues can create delays in customer orders. In this paper, we show how a scalable cloud-based hybrid simulation model is used to improve yard operations, optimize flow and design, and forecast yard congestion. Cloud experimentation along with automated database connectivity allows any user to run simulation analyses to derive data driven operational decisions. We tested the model on two real world case studies, which results in cost savings for the organization. This paper also proposes a robust automated framework for setting simulation validation benchmarks and measuring model accuracy.

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The application of macroergonomics and simulation to improve control of healthcare acquired infections 13

The application of macroergonomics and simulation to improve...

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Jose Mauricio Jimenez Bryan Leroy Lewis Stephen Eubank Network Dynamics and Simulation Science Laboratory Virginia Bioinformatics Institute Virginia Tech Blacksburg VA

ISBN: (纸本)9781479920778

We conducted a multidisciplinary study of healthcare acquired infections combining public health, simulation, and sociotechnical systems methods. Healthcare acquired infections (HAIs) represent a burden to the healthcare system due to the increased morbidity and mortality they cause on patients. Additionally, the cost of treating HAIs has increased dramatically in an already resource-strained healthcare system. We collected electronic medical records for the entire patient population of a level 1 trauma hospital for the period of one year. We additionally followed healthcare workers through their regular shifts to develop an accurate schedule of daily activities. Our team developed a simulation following the principles of highly-detailed simulation. Finally, sociotechnical interventions were evaluated using the simulation to help determine the best policy for prevention and treatment of HAIs. The best policies utilize a combination of prevention and medical treatment.

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Ensuring the overall performance of a new hospital facility through discrete event simulation 13

Ensuring the overall performance of a new hospital facility ...

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Franck Fontanili Matthieu Lauras Elyes Lamine Toulouse University - Mines Albi Toulouse University - Centre universitaire Jean-François-Champollion

ISBN: (纸本)9781479920778

In healthcare environment, one challenge consists in continuously updating facilities in order to maintain a high level of quality while reducing the wastes. Historically, hospitals designed their facilities empirically and only regarding medical and architectural requirements. In a context of drastic means' limitations, such an approach cannot be considered as enough. The purpose of this work is to demonstrate on a real case study how the Discrete Event simulation can support the dimensioning of new facilities in a healthcare context. This work was done in collaboration with one of the main French University Hospital regarding the opening of a new facility of 85,000 m2. The project focused on the external consultations floor and a two-step methodology was defined: (i) gathering knowledge by modelling, statically, business-processes; (ii) making a diagnosis of the organization by simulating, dynamically, flows. This approach allows objectively revealing major dysfunctions and possible improvements in the intended organization.

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Automatic model verification for semiconductor manufacturing simulation 13

Automatic model verification for semiconductor manufacturing...

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Boon Ping Gan Peter Lendermann Wolfgang Scholl Marcin Mosinski Patrick Preuss Singapore Singapore Infineon Technologies Dresden Dresden Germany D-SIMLAB Technologies GmbH Dresden Germany

ISBN: (纸本)9781479920778

Short Term simulation (STS) that provides daily forecasts of work center performance has been deployed in Infineon Technologies for operational decision makings. To ensure good forecast accuracy, the STS requires high modeling fidelity, requiring good basic data quality for model building. Forecast accuracy is maintained through an Automatic Model Verification (AMV) engine. The AMV monitors and verifies discrepancies between simulation and reality for modeling elements such as process dedication, uptime, process time/throughput, sampling rate, and batch/stream size. It reports the verification results with a multi-layered view, at different levels of abstraction, and the gaps between simulation and reality are highlighted. The user can quickly identify gaps and make correction to the errors. In this paper, we give an insight to the complete workflow on how AMV helps to detect data issues, the options to resolve such issues and the positive effect to the simulation forecast quality.

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A trust region-based algorithm for continuous optimization via simulation 13

A trust region-based algorithm for continuous optimization v...

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Proceedings of the 2013 winter simulation conference: simulation: making decisions in a complex world

作者： Satyajith Amaran Nikolaos V. Sahinidis Bikram Sharda Scott J. Bury Carnegie Mellon University Pittsburgh PA The Dow Chemical Company Freeport TX

ISBN: (纸本)9781479920778

Continuous Optimization via simulation (COvS) involves the search for specific continuous input parameters to a stochastic simulation that yield optimal performance measures. Typically, these performance measures can only be evaluated through simulation. We introduce a new algorithm for solving COvS problems. The main idea is to use a nonparametric regression model that uses few samples, and embed it in an iterative trust-region framework. We name the proposed algorithm Simulation Optimization--Learning Via Trust Regions (SO-LViT). We discuss the algorithmic elements of this implementation, and hypothesize that this approach is especially suitable for situations where samples are expensive to obtain and the dimensionality of the problem is fairly large. We demonstrate promising results through computational experience, wherein we compare SO-LViT against several other approaches over a large test set under Gaussian noise conditions.

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