Activity cycle diagram
This article provides insufficient context for those unfamiliar with the subject.(April 2019) |
An activity cycle diagram (ACD) is a graphical modeling tool to depict interactions among objects in a system.[1]
Origin
[edit]The ACD is a modeling tool that was developed in 1960 following the flow diagram method of K.D. Tocher.[2] It pertains to the activity-based paradigm of system modeling, as opposed to process-oriented or event-based paradigms. The activity-based modeling is a natural way to represent the knowledge about a system in the activity paradigm of discrete event simulation.
Characteristics
[edit]The activity cycle diagram is characterized by its focus on the life cycle of the components of a system, distinguishing for each component a "dead" state and an "active" state.[3]
Implementation
[edit]In activity-based modeling,[4] the dynamics of system is represented as an ACD which is a network model of the logical and temporal relationships among the activities. An ACD is easily implemented with the activity scanning method of simulation execution.[5]
External links
[edit]- [1] INTRODUCTION TO DISCRETE EVENT SIMULATION
- [2] MODEL DEVELOPMENT LIFE CYCLE
- [3] ACTIVITY CYCLE DIAGRAMS
- [4] SIMULATION USING ARENA
- [5] ADVANCED SIMULATION USING ARENA
- [6] SIMULATION OUTPUT ANALYSIS
Sources
[edit]- ^ Kang, Donghun; Choi, Byoung K. (2011-02-01). "The extended activity cycle diagram and its generality". Simulation Modelling Practice and Theory. 19 (2): 785–800. doi:10.1016/j.simpat.2010.11.004. ISSN 1569-190X.
- ^ Choi, Byoung Kyu; Kang, DongHun (2013-08-07). Modeling and Simulation of Discrete Event Systems. John Wiley & Sons. ISBN 978-1-118-73285-4.
- ^ Greasley, Andrew (2019-10-21). Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics. Walter de Gruyter GmbH & Co KG. ISBN 978-1-5474-0069-0.
- ^ Shi, Jingsheng (1997). "A conceptual activity cycle-based simulation modeling method" (PDF). Proceedings of the 29th conference on Winter simulation - WSC '97. Atlanta, Georgia, United States: ACM Press. pp. 1127–1133. doi:10.1145/268437.268749. ISBN 978-0-7803-4278-1. S2CID 16392452.
- ^ Page Jr., Ernest H. (September 1994). Simulation modeling methodology: principles and etiology of decision support (PDF) (PhD thesis). Virginia Polytechnic Institute and State University.