Academic literature on the topic 'Innovation simulation'
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Journal articles on the topic "Innovation simulation"
Drake, Hilary, Darin Abbey, Chelsea Holmes, Anna Macdonald, Laura Mackinnon, JoAnne Slinn, and Jared Baylis. "Simulation Innovation." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 15, no. 6 (November 5, 2020): 427–31. http://dx.doi.org/10.1097/sih.0000000000000515.
Full textRoukouni, Anastasia, Heide Lukosch, Alexander Verbraeck, and Rob Zuidwijk. "Let the Game Begin: Enhancing Sustainable Collaboration among Actors in Innovation Ecosystems in a Playful Way." Sustainability 12, no. 20 (October 15, 2020): 8494. http://dx.doi.org/10.3390/su12208494.
Full textWalsh, K. "From simulation to innovation." BMJ 340, mar02 3 (March 2, 2010): c1200. http://dx.doi.org/10.1136/bmj.c1200.
Full textLiubkina, O., T. Murovana, A. Magomedova, E. Siskos, and L. Akimova. "Financial Instruments of Stimulating Innovative Activities of Enterprises and Their Improvements." Marketing and Management of Innovations, no. 4 (2019): 336–52. http://dx.doi.org/10.21272/mmi.2019.4-26.
Full textProkopenko, Olha, Vitaliy Omelyanenko, T. Ponomarenko, and O. Olshanska. "Innovation networks effects simulation models." Periodicals of Engineering and Natural Sciences (PEN) 7, no. 2 (July 25, 2019): 752. http://dx.doi.org/10.21533/pen.v7i2.574.
Full textWINDRUM, PAUL. "Simulation Models of Technological Innovation." American Behavioral Scientist 42, no. 10 (August 1999): 1531–50. http://dx.doi.org/10.1177/00027649921957874.
Full textLecomte, François, and Clément Buléon. "Innovation et simulation en formation." Soins 66, no. 856 (June 2021): 66–68. http://dx.doi.org/10.1016/s0038-0814(21)00169-9.
Full textParvin, Albert Joseph, and Mario G. Beruvides. "Optimizing the Abandonment of a Technological Innovation." Systems 9, no. 2 (April 21, 2021): 27. http://dx.doi.org/10.3390/systems9020027.
Full textDing, Shu Kui. "Independent Technology of CBTC System and Management Innovation in Urban Rail Transit." Applied Mechanics and Materials 236-237 (November 2012): 671–76. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.671.
Full textKováčiková, Lea, Ferdinand Varga, Eva Kvaltínyová, Jana Plevková, and Tomáš Buday. "INNOVATION AND SIMULATION-BASED TEACHING TECHNIQUE IN PATHOLOGICAL PHYSIOLOGY." CBU International Conference Proceedings 4 (September 16, 2016): 727–31. http://dx.doi.org/10.12955/cbup.v4.840.
Full textDissertations / Theses on the topic "Innovation simulation"
Børke, Martin Andreas. "Simulation of Innovation in Mobile Communication Markets." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8717.
Full textMobile communication markets are known for frequent innovations with potentially high network effects. The conceptual work in economics and innovation studies show how the growth pattern for innovations in such markets could vary depending on the competition and market characteristics. However, the empirical research within this field is limited. This thesis introduces a computer simulation model for analyzing the development, adoption and diffusion of innovations in a mobile market. The model is based on Agent-Based Computational Economics (ACE), and makes use of behavioral theory of firms, economics, and sociology, to leverage the theoretical understating of the diffusion of innovations. The results of the simulation runs on the developed simulation software show that the topologies of social networks have strong effects on diffusion. However, it is also found that in situations where several competing companies launch their innovations sequentially, a winner-takes-all outcome is the most likely when the actors are completely rational. Further, when the information in the market is imperfect, the topology of social networks can create equilibria where the market is shared between several providers. Finally, the variance in consumer characteristics affects both the rate and the outcome of innovation diffusion. The thesis reaffirms that computer simulation is an effective way to combine the sociological and economic theories of innovation diffusion. The results show that there is still a need for more research on the field to better understand why some innovations fail, while other succeed and becomes accepted in the market. The outcome of an innovation launch is shown to be affected by several factors, including timing, network structure, market noise, and consumer characteristics. By using the simulation model to study the influence of such factors in a specific market, service providers may improve their competitive power.
Harsh, Timothy. "Algorithmic simulation in system design and innovation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/70802.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 61-63).
This thesis explores the use of genetic programming as a tool in the system design and innovation process. Digital circuits are used as a proxy for complex technological designs. Circuit construction is simulated through a computer algorithm which assembles circuit designs in an attempt to reach specified design goals. Complex designs can be obtained by repeatedly combining simpler components, often called building blocks, which were created earlier in the algorithm's progression. This process is arguably a reflection of the traditional development path of systems engineering and technological innovation. The choice of algorithm used to guide this process is crucial. This thesis considers two general types of algorithms-a blind random search method, and a genetic programming search method-with variations applied to each. The research focused on comparing these algorithms in regard to: 1) the successful creation of multiple complex designs; 2) resources utilized in achieving a design of a given complexity; and 3) the inferred time dependence of technological improvement resulting from the process. Also of interest was whether these algorithms would exhibit exponential rates of improvement of the virtual technologies being created, as is seen in real-world innovation. The starting point was the hypothesis that the genetic programming approach might be superior to the random search method. The results found however that the genetic programming algorithm did not outperform the blind random search algorithm, and in fact failed to produce the desired circuit design goals. This unexpected outcome is believed to result from the structure of the circuit design process, and from certain shortcomings in the genetic programming algorithm used. This work also examines the relationship of issues and considerations (such as cost, complexity, performance, and efficiency) faced in these virtual design realms to managerial strategy and how insights from these experiments might be applied to real-world engineering and design challenges. Algorithmic simulation approaches, including genetic programming, are found to be powerful tools, having demonstrated impressive performance in bounded domains. However, their utility to systems engineering processes remains unproven. Therefore, use of these algorithmic tools and their integration into the human creative process is discussed as a challenge and an area needing further research.
by Timothy Harsh.
S.M.in Engineering and Management
Giudice, Sebastiano D. "Sound quality evaluations using interactive simulation : innovation report." Thesis, University of Warwick, 2009. http://wrap.warwick.ac.uk/36740/.
Full textNy, Henrik. "Strategic Life-Cycle Modeling and Simulation for Sustainable Product Innovation." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00441.
Full textMarrison, Claire. "The simulation of emergency escape behaviour : an innovation in methodology." Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292307.
Full textRainville, Thomas A. "Simulation innovation in Naval Special Warfare by utilizing small working groups." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA387750.
Full textJederström, Kathrina, and Sebastian Andersson. "Process Innovation Challenges : - how to reduce Uncertainty through Discrete Event Simulation." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35731.
Full textI den nuvarande konkurrenskraftiga marknaden har ett företag många utmaningar ifall de vill lyckas. Det räcker nämligen inte längre med att ha bra produkter utan de måste också förbättras på andra sätt. Ett sätt att uppnå detta på, är att genomföra förändringar i den nuvarande produktionen, en metod för detta är introducera en processinnovation på företaget. Under detta arbete har fördelarna relaterade till processinnovation upptäckts i befintlig litteratur, till exempel genom att ökad konkurrentskraftighet, produktivitet och synlighet för fabriken. Dessvärre framkallar implementeringen av en processinnovation osäkerheter. Diskret händelse simulering (DES) modeller har i tidigare forskning föreslagits som ett verktyg för at minska osäkerheter i tillverkningsföretag, medan de planerar att genomgår en förändring. Forskning om hur simulering hanterar fabriker som genomgår en processinnovation har i hög grad ignorerats. De här studien har för avsikt att undersöka just det området där nuvarande forskning brister, nämligen om ifall DES modeller kan minska osäkerheter i processinnovationer. Tre forskningsfrågor har tagits fram för att styra arbetet: 1. Vilka kännetecken har introduktionen av processinnovation i en produktionsprocess kontext? 2. Hur påverkas produktionsprocess hos tillverkande företag av de osäkerheter som processinnovation medför? 3. Hur kan DES användas för att bidra till minskandet av osäkerheter i tillverkande företag som introducerar processinnovation? För att besvara dessa frågor genomfördes an litteraturstudie och en fallstudie som innehöll simulering. Fallstudien som utfördes på ett tillverkningsföretag som är i planeringsstadiet för att införa en processinnovation. Innovationen har för avsikt att göra produktionen mer miljövänlig och samtidigt skapa en fördel över konkurrenterna. Nuvarande planering är fylld av osäkerheter eftersom tillägget av någonting nytt alltid gör det. Därför är reduceringen av osäkerheter avgörande för att en implementering ska kunna genomföras Genom att identifiera forskning inom området, och jämföra den med resultat från företagsrelaterade intervjuer och workshops, identifierade kännetecken på processinnovation och hur processinnovation skapar osäkerheter. Genom att använda DES i examensarbetet, minskades antalet osäkerheter, till fullo och delvis, och nya osäkerheter identifierades. Dessutom visar resultat på studien att simulering kan användas som ett visualiseringsverktyg för att skapa en diskussionsplattform angående framtida förändringar i produktionen.
Saunders, Daniel M. "Developing student-centred learning within higher education through simulation gaming and innovation." Thesis, University of South Wales, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284892.
Full textCarnegie, Craig Robert. "Simulation of high strain rate deformation in structural polymeric foam : innovation report." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/98790/.
Full textCarandente, Mario. "FE simulation of the SPR process to predict joint characteristics : innovation report." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/94058/.
Full textBooks on the topic "Innovation simulation"
author, Gilbert G. Nigel, ed. Simulating innovation: Computer-based tools for rethinking innovation. Cheltenham, UK: Edward Elgar, 2014.
Find full textAnand, D. K. Simulation-based innovation and discovery: Energetics applications. College Park, Maryland: CALCE EPSC Press, 2011.
Find full textRoland, Guio, Cascini Gaetano, and SpringerLink (Online service), eds. Building Innovation Pipelines through Computer-Aided Innovation: 4th IFIP WG 5.4 Working Conference, CAI 2011, Strasbourg, France, June 30 – July 1, 2011. Proceedings. Berlin, Heidelberg: IFIP International Federation for Information Processing, 2011.
Find full textPodolak, Irene. An examination of the variables associated with adoption/rejection of a computerized innovation (an operating room simulation model). Ottawa: National Library of Canada, 1995.
Find full text1927-, Dōyama Masao, Nikkan Kōgyō Shinbunsha, and International Conference on Computer Applications to Materials Science and Engineering (1st : 1990 : Tokyo, Japan)., eds. Computer aided innovation of new materials: Proceedings of the First International Conference and Exhibition on Computer Applications to Materials Science and Engineering-CAMSE '90, Sunshine City, Ikebukuro, Tokyo, Japan, August 28-31, 1990. Amsterdam: North-Holland, 1991.
Find full textInternational Conference and Exhibition on Computer Applications to Materials and Molecular Science and Engineering (2nd 1992 Yokohama-shi, Japan). Computer aided innovation of new materials II: Proceedings of the second International Conference and Exhibition on Computer Applications to Materials and Molecular Science and Engineering--CAMSE '92, Pacifico Yokohama, Yokohama, Japan, September 22-25, 1992. Amsterdam: North-Holland, 1993.
Find full textNawrat, Aleksander, and Karol Jędrasiak, eds. Innovative Simulation Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21118-3.
Full textTan, Runhua. Growth and Development of Computer-Aided Innovation: Third IFIP WG 5.4 Working Conference, CAI 2009, Harbin, China, August 20-21, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Find full textMa, Yongsheng. Semantic Modeling and Interoperability in Product and Process Engineering: A Technology for Engineering Informatics. London: Springer London, 2013.
Find full textSchlick, Tamar, ed. Innovations in Biomolecular Modeling and Simulations. Cambridge: Royal Society of Chemistry, 2012. http://dx.doi.org/10.1039/9781849735049.
Full textBook chapters on the topic "Innovation simulation"
Joshi, Nikita, and Teresa Roman-Micek. "Technology and Innovation." In Comprehensive Healthcare Simulation, 315–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15378-6_19.
Full textAhrweiler, Petra, and Andreas Pyka. "Innovation." In Handbuch Modellbildung und Simulation in den Sozialwissenschaften, 855–85. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-01164-2_30.
Full textTrottenberg, Ulrich, and Johannes Linden. "Simulation und Optimierung — Innovation durch Mathematik." In Kunststück Innovation, 55–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55634-0_7.
Full textVisser, Arnoud, Nobuhiro Ito, and Alexander Kleiner. "RoboCup Rescue Simulation Innovation Strategy." In RoboCup 2014: Robot World Cup XVIII, 661–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18615-3_54.
Full textBukhman, Isak. "The Method of Simulation by Little Manikins." In Technology for Innovation, 373–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1041-7_13.
Full textHerz, J. C. "Harnessing the Hive: Innovation as a Distributed Function in The Online Game Community." In Organizational Simulation, 611–21. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471739448.ch21.
Full textAlfaro-Calderón, Gerardo G., Artemisa Zaragoza, Víctor G. Alfaro-García, and Anna M. Gil-Lafuente. "Innovation Capabilities and Innovation Systems: A Forgotten Effects Analysis of Their Components." In Modelling and Simulation in Management Sciences, 51–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15413-4_5.
Full textTakaki, Ryoji, and Seiji Tsutsumi. "HPC Applications for Manufacturing Innovation in Aerospace Fields." In Sustained Simulation Performance 2016, 159–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46735-1_13.
Full textSchubert, Wulf, and Gernot Beer. "Tunnelling - the need for technological development and innovation." In Numerical Simulation in Tunnelling, 7–11. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-6099-2_2.
Full textZhang, Tao, and Yufeng Zhang. "Engineering Value Chain Simulation and Innovation." In Value Creation through Engineering Excellence, 149–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56336-7_7.
Full textConference papers on the topic "Innovation simulation"
Bruzzone, Agostino G., Kirill Sinelshchikov, Marina Massei, and Giuliano Fabbrini. "Extended Reality technologies for industrial innovation." In The 32nd European Modeling & Simulation Symposium. CAL-TEK srl, 2020. http://dx.doi.org/10.46354/i3m.2020.emss.062.
Full textHovmand, Peter S., and David N. Ford. "Computer simulation of innovation implementation strategies." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429217.
Full textWang, J. "R&D Pipeline Structuring for Product Innovation under Uncertainty." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.696-068.
Full textShephard, Mark S., and Cameron W. Smith. "HPC Simulation Workflows for Engineering Innovation." In the 2014 Annual Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2616498.2616556.
Full textSauro, Herbert. "Innovation in Software for Systems Biology. Is There Any?" In 2006 Winter Simulation Conference. IEEE, 2006. http://dx.doi.org/10.1109/wsc.2006.322930.
Full textSavitskaya, Irina, and Martin Ihrig. "Exploring Open Innovation Strategies: A Simulation Approach." In 26th Conference on Modelling and Simulation. ECMS, 2012. http://dx.doi.org/10.7148/2012-0071-0077.
Full text"Firm-level innovation in New Zealand." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.d3.oxley.
Full textde Vicente, Maria Auxiliadora, Jaime Manera, Francisco Jose Blanco, and Alberto Romero. "Innovation Profiles Of Spanish Autonomous Regions." In 23rd European Conference on Modelling and Simulation. ECMS, 2009. http://dx.doi.org/10.7148/2009-0486-0492.
Full textJespersen, Kristina Risom. "Forecasting economic performance of implemented innovation openness." In 2013 Winter Simulation Conference - (WSC 2013). IEEE, 2013. http://dx.doi.org/10.1109/wsc.2013.6721565.
Full textRyu, Hyun-Sun. "The Relationship between Non-Technological Innovation and Technological Innovation on Firm Performance." In Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.135.08.
Full textReports on the topic "Innovation simulation"
Chen, Chung-Lung, and Gui-Rong Liu. A FSI Enabled Practical Rotorcraft Flow Simulator for Morphing Blade Innovation. Fort Belvoir, VA: Defense Technical Information Center, May 2015. http://dx.doi.org/10.21236/ada623927.
Full textPowell, Troy. Dissertation Proposal: Innovations in Pulsed Power and Plasma Science Theory Simulation and Experiment. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1735787.
Full textMattsson, Ann Elisabet, Scott A. Mitchell, and Stephen W. Thomas. LDRD 102610 final report new processes for innovative microsystems engineering with predictive simulation. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/913217.
Full textPark, HeeHo Daniel. Innovative Linear and Nonlinear Solvers for Simulating Multiphase Flow within Large-Scale Engineered Subsurface Systems. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1570403.
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