An Agile Project System Dynamics Simulation Model

Author(s):  
A. S. White

This paper compares established Systems Dynamics (SD) models of software projects with models of agile development. A new minimal SIMULINK™ agile project model was created and compared to a Waterfall model of a NASA project. Results are presented to enable project managers to predict the performance of future agile project processes. The model includes the time to generate the requirements and a function to provide requirements volatility. These models show that for the same productivity and fraction of errors that are satisfactory, the overall development staff costs are similar for agile and waterfall projects and the undiscovered rework is less for the agile project. This model generally supports empirical observations that shorter time-box iterations yield a shorter overall project completion.

2021 ◽  
Vol 6 (1) ◽  
pp. 134-141
Author(s):  
V. P. Munteanu ◽  
P. Dragos

Agile methodologies have emerged to challenge traditional ones and overcome their limitations. Increasingly, software development organizations are scaling agile practices in order to meet the requirements of the quickly changing and regularly developing business environment. The main objectives of this study are to investigate the main differences between the traditional project management methodologies and agile methodologies, as well as to identify some key advantages and challenges of applying agile development in a financial software environment. The findings clearly show that using Agile methodologies in a financial software development environment increases the efficiency and transparency of the development process, as well as the stakeholders’ satisfaction, but the project managers must know how to adapt different Agile frameworks to the given context of their organization.


Author(s):  
A. S. White

This paper looks at the established Systems Dynamics (SD) methods applied to Software projects in order to simplify them. These methods are highly non-linear and contain large numbers of variables and built in decisions. A SIMULINK version of an SD model is used here and conclusions are made with respect to the initial main controlling factors, compared to a NASA project. The eigenvalues of the linearised system indicate that the important factors are the hiring delay time, the assimilation time and the employment time. This illustrates how the initial state of the system is at best neutrally stable with control only being achieved with complex non-linear decisions. The purpose is to show the minimum level of complexity required for “good” simulation of project behaviour considering the Abdel-Hamid software project model and three simpler versions. These models give clues to the decision structures that are necessary for good agreement with reality.


Author(s):  
Liang Yuan ◽  
Weijun He ◽  
Dagmawi Mulugeta Degefu ◽  
Zhongchi Wan ◽  
Thomas Stephen Ramsey ◽  
...  

2013 ◽  
Vol 300-301 ◽  
pp. 32-35
Author(s):  
Xiao Wen Zeng ◽  
Cheng Zeng ◽  
Bing Han

In order to manage the complex simulation data management in the process of mechanical dynamics simulation, a new management model was presented which is Performance Simulation Model(PSM). The model was based on PDM product structure and the concepts and elements of PSM were defined in this paper. Furthermore, the functional framework of PSM was proposed which based on the hierarchical relationship of product structure and the data stream relationship of data structure matrix. Finally, PSM was applied on ship planetary reducer collaborative simulation platform. The result indicates that the simulation data in mechanical collaborative simulation are managed by PSM, and the problem of interaction between collaborative simulation and PDM is solved.


1999 ◽  
Vol 123 (2-3) ◽  
pp. 179-194 ◽  
Author(s):  
I.R Ball ◽  
D.B Lindenmayer ◽  
H.P Possingham

2017 ◽  
Vol 1 (1) ◽  
pp. 39-52
Author(s):  
Ibrahim Saidu ◽  
W Shakantu ◽  
A Adamu ◽  
I Anugwo

The problems of material waste and cost overruns are common in the construction industry. These problems occur at different stages of a construction project, from planning, design to project completion. The argument on how to eliminate cost overrun has been on-going for the past 70 years as on-site wastage of materials leads to increase in the final project cost. This paper examines the relationship between the causes of material waste and those of cost overrun at the pre-contract and post-contract stages of a project. The desktop methodological approach was firstly adopted in comparing the causes of material waste and those of cost overruns from the literature, in order to determine the possible relationship. Subsequently, interviews were purposively conducted with construction professionals within Abuja, Nigeria, in order to verify the literature based information. The result reveals that all the causes of material waste also cause cost overrun at the pre-contract and the post-contract stages of a project. 96.88% and 81.81% of the causes of cost overrun also cause material waste at the pre-contract and post-contract stages respectively. Other causes which are not related are mostly, the micro-economic and macro-economic factors. These results are not different from those of the interviews conducted with professionals and summarised in the tick box. It was also found that to achieve Effective Construction Material Waste Management (ECMWM) for any construction project, material waste must be controlled at its sources and causes, and at different stages of a project. Based on these findings, it can be concluded that effective management of material waste would translate into a reduction in the level of project cost overrun. The study recommends that construction-project managers, as well as the construction practitioners should encourage the management of material-waste causes, as it has the potential to minimise cost overrun for projects. 


Sign in / Sign up

Export Citation Format

Share Document