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Micro Saint Sharp
Developer(s)
Alion Science and Technology
Stable release
3.8
Written in
C Sharp, .NET Framework
Operating system
Microsoft Windows
Type
Discrete Event Simulation
Website
microsaintsharp.com
Micro Saint Sharp is a general purpose discrete-event simulation and human performance modeling software tool developed by Alion Science and Technology.[1] It is developed using C# and the .NET Framework. Micro Saint Sharp allows users to create discrete-event simulations as visual task networks with logic defined using the C# programming language.[2]
Micro Saint Sharp uses a task network, a series of functions which decompose into tasks, to create stochastic models. Micro Saint Sharp has been used in the healthcare,[3][4] manufacturing,[5] supply chains,[6] business process re-engineering,[7] workstation design,[8] call centers,[9] transportation,[10] and command and control[11] areas. It has also been used extensively to simulate human performance and workload.[12][13]
^Plott, Beth; Pearson, Jake; Shaw, Christopher (3 December 2017). Micro Saint Sharp User Manual v3_8. ISBN 978-1387180349.
^Schunk, Daniel (10 December 2000). "Micro saint: modeling with the Micro Saint simulation package". Proceedings of the 32nd Conference on Winter Simulation. Society for Computer Simulation International. pp. 274–279. ISBN 9780780365827.
^Gunal, M. Health Service efficiency mapped with simulation tools. Lancaster University. http://www.adeptscience.co.uk/media-room/press_room/health-service-efficiency-mapped-with-simulation-tools.html
^Kanagarajah, Ashok Kay; Lindsay, Peter; Miller, Anne; Parker, David (2010). "An Exploration into the Uses of Agent-Based Modeling to Improve Quality of Healthcare". Unifying Themes in Complex Systems. pp. 471–478. doi:10.1007/978-3-540-85081-6_58. ISBN 978-3-540-85080-9.
^Harshell, J. and Dahl, S., Simulation Model Developed to Convert Production to Cellular Manufacturing Layout, Industrial Engineering, 20, 12 (1988) 40-45.
^Daniel Schunk, Beth Plott, Using simulation to analyze supply chains, Proceedings of the 32nd conference on Winter simulation, December 10–13, 2000, Orlando, Florida. https://www.computer.org/csdl/proceedings/wsc/2000/6579/02/65791095.pdf
^Laughery, Ron; Plott, Beth; Scott-Nash, Shelly (1998). "Simulation of Service Systems". Handbook of Simulation. pp. 629–644. doi:10.1002/9780470172445.ch18. ISBN 9780470172445.
^Hoffman, Mark S.; Cramer, Martin L. (October 1981). "Workstation Design Optimization Through a Simulation Model". Proceedings of the Human Factors Society Annual Meeting. 25 (1): 374–378. doi:10.1177/107118138102500199. S2CID 109166902.
^Keller, J., Plott, B. Staff Resource Simulation of Phone Company Switch Support Service. In Proceedings of the 1999 Winter Simulation Conference.
^Sweeney, Kevin D.; Campbell, James F.; Sweeney II, Donald C. (2014). "Impact of Shippers' Choice on Transportation System Congestion and Performance: Integrating Random Utility with Simulation". Transportation Journal. 53 (2): 143–179. doi:10.5325/transportationj.53.2.0143. JSTOR 10.5325/transportationj.53.2.0143. Project MUSE 543112.
^Plott, Beth; Wojciechowski, Josephine Q.; Kilduff, Patricia W. (1 August 1999). "Command and Control: Human Performance Modeling". Gateway. 10 (1): 10–11. DTIC ADA385362.
^Laughery, Romn (1999). "Using discrete-event simulation to model human performance in complex systems". Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99. Vol. 1. pp. 815–820. doi:10.1145/324138.324506. ISBN 0780357809. S2CID 18163468.
^Pop, Vlad L. (21 September 2015). Using task network modeling to predict human error (Thesis). hdl:1853/54320.
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