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Secrets of successful simulation projects

Authors:

Stewart Robinson,

Vinod BhatiaAuthors Info & Claims

WSC '95: Proceedings of the 27th conference on Winter simulation

Pages 61 - 67

https://doi.org/10.1145/224401.224424

Published: 01 December 1995 Publication History

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Abstract

Describes how a simulation project should be performed in order to ensure a successful outcome. This involves skills in both simulation and project management. The paper concentrates on the process of performing a simulation project rather than specific methods required during the course of a project. An overview of a simulation project is given before discussing in more detail the four main phases of a project: problem definition, model building and testing, experimentation and project completion.

References

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Balci, O. 1994. Validation, Verification, and Testing Techniques Throughout the Life Cycle of a Simulation Study. Technical Report TR 94-08, Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA.

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Law, A. and W. Kelton. 1991. Simulation Modeling and Analysis, 2nd ed. New York: McGraw-Hill.

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McLeod, J. 1982. Computer Modeling and Simulation: Principles of Good Practice. Simulation Series 10 (2). The Society for Computer Simulation, San Diego, CA.

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Robinson, S. 1994a. Successful Simulation: A Practical Approach to Simulation Projects. Maidenhead, UK: McGraw-Hill.

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Robinson, S. 1994b. Simulation Projects: Building the Right Conceptual Model. Industrial Engineering 26 (9): 34-36.

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Robinson, S. 1995. An Heuristic Technique for Selecting the Run-length of Non-terminating Steadystate Simulations. To appear in Simulation 65 (3).

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Sargent, R.G. 1992. Validation and Verification of Simulation Models. In Proceedings of the 1992 Winter Simulation Conference, eds. J. J. Swain, D. Goldsman, R. C. Crain and J. R. Wilson, 104-114. IEEE, Piscataway, NJ.

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Cited By

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Lyu ZPons DPalliparampil GZhang Y(2023)Optimising Urban Freight Logistics Using Discrete-Event Simulation and Cluster Analysis: A Stochastic Two-Tier Hub-and-Spoke Architecture ApproachSmart Cities10.3390/smartcities60501076:5(2347-2366)Online publication date: 4-Sep-2023
https://doi.org/10.3390/smartcities6050107
Auf der Landwehr MTrott Mvon Bülow Kvon Viebahn C(2023)Pyrrhic victory? Towards a Decision Support System for Simulation Projects in Industrial Practice based on Fuzzy Cognitive MappingComputers & Industrial Engineering10.1016/j.cie.2023.109706(109706)Online publication date: Oct-2023
https://doi.org/10.1016/j.cie.2023.109706
Meersman TMaenhout B(2022)Multi-objective optimisation for constructing cyclic appointment schedules for elective and urgent patientsAnnals of Operations Research10.1007/s10479-022-04628-0312:2(909-948)Online publication date: 11-Mar-2022
https://doi.org/10.1007/s10479-022-04628-0
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Index Terms

Secrets of successful simulation projects
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
2. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management

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Published In

WSC '95: Proceedings of the 27th conference on Winter simulation

December 1995

1493 pages

ISBN:0780330188

Chairmen:
William R. Lilegdon
Pritsker Corp., West Lafayette, IN
,
David Goldsman
Georgia Institute of Technology, Atlanta
,
Editors:
Christos Alexopoulos
Georgia Institute of Technology, Atlanta
,
Keebom Kang
Naval Postgraduate School, Monterey, CA

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IEEE Computer Society

United States

Publication History

Published: 01 December 1995

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WSC95: 1995 Winter Simulation Conference

December 3 - 6, 1995

Virginia, Arlington, USA

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WSC '95 Paper Acceptance Rate 122 of 183 submissions, 67%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Lyu ZPons DPalliparampil GZhang Y(2023)Optimising Urban Freight Logistics Using Discrete-Event Simulation and Cluster Analysis: A Stochastic Two-Tier Hub-and-Spoke Architecture ApproachSmart Cities10.3390/smartcities60501076:5(2347-2366)Online publication date: 4-Sep-2023
https://doi.org/10.3390/smartcities6050107
Auf der Landwehr MTrott Mvon Bülow Kvon Viebahn C(2023)Pyrrhic victory? Towards a Decision Support System for Simulation Projects in Industrial Practice based on Fuzzy Cognitive MappingComputers & Industrial Engineering10.1016/j.cie.2023.109706(109706)Online publication date: Oct-2023
https://doi.org/10.1016/j.cie.2023.109706
Meersman TMaenhout B(2022)Multi-objective optimisation for constructing cyclic appointment schedules for elective and urgent patientsAnnals of Operations Research10.1007/s10479-022-04628-0312:2(909-948)Online publication date: 11-Mar-2022
https://doi.org/10.1007/s10479-022-04628-0
Lyu ZPons DZhang YJi Z(2021)Freight Operations Modelling for Urban Delivery and Pickup with Flexible Routing: Cluster Transport Modelling Incorporating Discrete-Event Simulation and GISInfrastructures10.3390/infrastructures61201806:12(180)Online publication date: 17-Dec-2021
https://doi.org/10.3390/infrastructures6120180
Azab ENafea MShihata LMashaly M(2021)A Machine-Learning-Assisted Simulation Approach for Incorporating Predictive Maintenance in Dynamic Flow-Shop SchedulingApplied Sciences10.3390/app11241172511:24(11725)Online publication date: 10-Dec-2021
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Odedairo BNwabuokei N(2018)Framework for Operational Performance Measurements in Small and Medium Scale Industries Using Discrete Event Simulation ApproachEngineering, Technology & Applied Science Research10.48084/etasr.21068:4(3103-3107)Online publication date: 18-Aug-2018
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Bärring MNåfors DHenriksen DOlsson DJohansson BLarsson U(2017)A VSM approach to support data collection for a simulation modelProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242524(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242524
Barlas PDagkakis GHeavey CGaffney BYoung PGeraghty J(2014)Test Implementation and Initialisation of a Simulation Model Using CMSDProcedia CIRP10.1016/j.procir.2014.10.03925(276-282)Online publication date: 2014
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Bedouet JHuynh NKervarc RWainer GMosterman PBarros FZacharewicz G(2013)GAMME, a meta-model to unify data needs in simulation modeling (WIP)Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative M&S Symposium10.5555/2499634.2499648(1-6)Online publication date: 7-Apr-2013
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Vallance SDuffy AWhitfield RMendibil KHird AMcCabe JTurner (2011)Using Systems Engineering for the Development of Decision Making Support Systems DMSSInternational Journal of Decision Support System Technology10.4018/jdsst.20111001033:4(35-54)Online publication date: 1-Oct-2011
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Successful simulation projects: a guide for clients

Distributed agent-based simulation of construction projects with HLA

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Successful simulation projects: a guide for clients

Distributed agent-based simulation of construction projects with HLA

Learning discrete event simulation design methodology via interactive and collaborative projects

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