Results 21 to 30 of about 3,868,885 (216)

Fundamentals of simulation modeling [PDF]

2007 Winter Simulation Conference, 2007
We start with basic terminology and concepts of modeling, and decompose the art of modeling as a process. This overview of the process helps clarify when we should or should not use simulation models. We discuss some common missteps made by many inexperienced modelers, and propose a concrete approach for avoiding those mistakes.
openaire   +5 more sources

Simulation in manufacturing and business: A review [PDF]

, 2010
Copyright @ 2009 Elsevier B.V.This paper reports the results of a review of simulation applications published within peer-reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of simulation techniques within manufacturing
Aisha Naseer, Akkermans, Albino, Amoako-Gympah, Anderson, Antoniol, Arer, Arunachalam, Ashayeri, Ashworth, Ayag, Baines, Barman, Barton, Barua, Blocher, Bocker, Boel, Bosarth, Butler, Byrne, Cachon, Chan, Chan, Chan, Chatha, Chen, Chen, Christodoulou, Clark, De Ruyter, De Souza, De Treville, Durieux, Fleisch, Ford, Forssen, Gambardella, Giannini, Graham, Greasley, Greenhalgh, Grunow, Haas, Hahn, Hobbs, Hoesli, Hoogeweegen, Hueter, Hunt, Jacobson, Jahangirian, Jain, Jan, Kadipasaoglu, Kehris, Kellner, Kleijnen, Koh, Kwan, Kyamakya, Lainema, Lampros K. Stergioulas, Larsen, Lee, Lee, Lee, Lin, Lin, Liu, Love, Lukas, Lyneis, Lyneis, Lyneis, MacDonald, Machuca, Manzini, Marquez, Martin, McArthur, Mehra, Melao, Mendes, Mjema, Mohsen Jahangirian, Musselman, Nagano, Nance, Nass, Nassar, Noy, Olson, Orady, Otero-Novas, Owens, Pannirselvam, Park, Pfahl, Pfeil, Polat, Porter, Powell, Rabelo, Rabelo, Ranky, Reiner, Rodrigues, Rosen, Roser, Saltzman, Sawhney, Schwaninger, Schwartz, Shabayek, Shafer, Shafer, Shang, Smeds, Smith, Son, Spedding, Spengler, Sterman, Swain, Swaminathan, Taylor, Terry Young, Terzi, Theoharakis, Tillal Eldabi, Tofukuji, Van Der Vorst, Van Der Zee, Van Landeghem, Venkateswaran, Wenzler, Weston, Wolstenholme, Yan, Yazici, Yim, Zenios, Zha, Zulch, Zulch, Zülch   +146 more
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A space-time conditional intensity model for infectious disease occurence [PDF]

, 2010
A novel point process model continuous in space-time is proposed for infectious disease data. Modelling is based on the conditional intensity function (CIF) and extends an additive-multiplicative CIF model previously proposed for discrete space epidemic ...
Assunçáo, Daley, Diggle, Diggle, Diggle, Elias, Hawkes, Held, Höhle, Höhle, Höhle, Höhle, Jensen, Jewell, Mohler, Neal, Nocedal, Ogata, Ogata, Ogata, Peng, Rathbun, Rosenstein, Scheel, Stroud, Trotter, Zangwill   +26 more
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Incremental simulation modelling for Internet collaborative design [PDF]

, 2004
In order to support Web-based collaborative design in terms of transferring or updating models dynamically and efficiently, new incremental modelling and local updating strategies have been developed for simulation modelling application since simulation
Qin, SF, Wright, DK
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The elements of a computational infrastructure for social simulation [PDF]

, 2009
Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model ...
Allan, R., Beckhofer, S., Birkin, M., Buchan, I., de Roure, D., Finch, J., Goble, C., Hudson-Smith, A., Lambert, P., Procter, R., Sinnott, R.O.   +10 more
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Modeling and simulation

Seikei-Kakou, 2006
Modeling and simulation are major assets in the engineering of systems of all types, in particular for production management problems. This section provides an overview of the basic aspects and key issues in modeling and simulation of agricultural production systems.
Cros, Marie-Josée, Garcia, Frederick, Martin-Clouaire, Roger, Rellier, Jean-Pierre   +3 more
openaire   +6 more sources

Development of a novel 3D simulation modelling system for distributed manufacturing [PDF]

, 2004
This paper describes a novel 3D simulation modelling system for supporting our distributed machine design and control paradigm with respect to simulating and emulating machine behaviour on the Internet.
A.A. West, D.K. Wright, Feldmann, Harrison, Harrison, Harrison, Huang, Kilingstam, Nidamarthi, Qin, R. Harrison, S.F. Qin, Shyamsundar, Weston, Weyrich   +14 more
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The integrated use of enterprise and system dynamics modelling techniques in support of business decisions [PDF]

, 2012
Enterprise modelling techniques support business process re-engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements.
Agyapong-Kodua, Kwabena, Ratchev, Svetan, Weston, R. H.   +2 more
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Modeling survival times using frailty models [PDF]

, 2017
Traditional survival models, including Kaplan Meier, Nelson Aalen and Cox regression assume a homogeneous population; however, these are inappropriate in the presence of heterogeneity.
Camilleri, Liberato, Caruana, Roxanne, European Simulation and Modelling Conference, Manche, Alexander   +3 more
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Computational and Mathematical Modelling of the EGF Receptor System [PDF]

, 2008
This chapter gives an overview of computational and mathematical modelling of the EGF receptor system. It begins with a survey of motivations for producing such models, then describes the main approaches that are taken to carrying out such modelling, viz.
A Citri, B Schoeberl, BN Kholodenko, BS Hendricks, BS Hendricks, C Lemerle, CG Johnson, CV Suresh Babu, CV Suresh Babu, D Walker, D-Y Lee, FA Brightman, H Kitano, HS Wiley, IV Maly, JJ Hornberg, JM Haugh, JP Goldman, L Rendell, M Hucka, M Tomita, ML Blinov, MP Cary, P. Mendes, R Breitling, RB Jones, RJ Orton, SS Andrews, SY Shvartsman, W Kolch, WJ Gullick, WWA Schamel   +31 more
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