The model aims to illustrate how Earned Value Management (EVM) provides an approach to measure a project’s performance by comparing its actual progress against the planned one, allowing it to evaluate trends to formulate forecasts. The instance performs a project execution and calculates the EVM performance indexes according to a Performance Measurement Baseline (PMB), which integrates the description of the work to do (scope), the deadlines for its execution (schedule), and the calculation of its costs and the resources required for its implementation (cost).
Specifically, we are addressing the following questions: How does the risk of execution delay or advance impact cost and schedule performance? How do the players’ number or individual work capacity impact cost and schedule estimations to finish? Regardless of why workers cause delays or produce overruns in their assignments, does EVM assess delivery performance and help make objective decisions?
To consider our model realistic enough for its purpose, we use the following patterns: The model addresses classic problems of Project Management (PM). It plays the typical task board where workers are assigned to complete a task backlog in project performance. Workers could delay or advance in the task execution, and we calculate the performance using the PMI-recommended Earned Value.
Release Notes
Release Netlogo Earned Value Management Model v1.0.0 introduces a task board and Earned Value Management metrics to assess employee agent performance.
Associated Publications
Castañón-Puga, M.; Rosales-Cisneros, R.F.; Acosta-Prado, J.C.; Tirado-Ramos, A.; Khatchikian, C.; Aburto-Camacllanqui, E. Earned Value Management Agent-Based Simulation Model. Systems 2023, 11, 86. https://doi.org/10.3390/systems11020086
Netlogo Earned Value Management Model 1.0.0
Submitted byManuel Castañón-PugaPublished Nov 24, 2022
Last modified Feb 15, 2023
The model aims to illustrate how Earned Value Management (EVM) provides an approach to measure a project’s performance by comparing its actual progress against the planned one, allowing it to evaluate trends to formulate forecasts. The instance performs a project execution and calculates the EVM performance indexes according to a Performance Measurement Baseline (PMB), which integrates the description of the work to do (scope), the deadlines for its execution (schedule), and the calculation of its costs and the resources required for its implementation (cost).
Specifically, we are addressing the following questions: How does the risk of execution delay or advance impact cost and schedule performance? How do the players’ number or individual work capacity impact cost and schedule estimations to finish? Regardless of why workers cause delays or produce overruns in their assignments, does EVM assess delivery performance and help make objective decisions?
To consider our model realistic enough for its purpose, we use the following patterns: The model addresses classic problems of Project Management (PM). It plays the typical task board where workers are assigned to complete a task backlog in project performance. Workers could delay or advance in the task execution, and we calculate the performance using the PMI-recommended Earned Value.
Release Notes
Release Netlogo Earned Value Management Model v1.0.0 introduces a task board and Earned Value Management metrics to assess employee agent performance.
Cite this Model
Manuel Castañón-Puga, Ricardo Fernando Rosales–Cisneros, Julio César Acosta–Prado, Alfredo Tirado–Ramos, Camilo Khatchikian, Elías Aburto–Camacllanqui (2022, November 24). “Netlogo Earned Value Management Model” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/4effb542-f69f-464d-9f96-69f19d36ae8a/releases/1.0.0/
Associated Publication(s)
Castañón-Puga, M.; Rosales-Cisneros, R.F.; Acosta-Prado, J.C.; Tirado-Ramos, A.; Khatchikian, C.; Aburto-Camacllanqui, E. Earned Value Management Agent-Based Simulation Model. Systems 2023, 11, 86. https://doi.org/10.3390/systems11020086
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