scholarly journals Sustainability in the Aerospace Sector, a Transition to Clean Energy: The E2-EVM Valuation Model

2021 ◽  
Vol 13 (12) ◽  
pp. 6717
Author(s):  
Salvador Cruz Rambaud ◽  
Joaquín López Pascual ◽  
Juan Carlos Meléndez Rodríguez

Civil aviation is one of biggest industrial contributors to CO2 emissions worldwide. One of the most urgent problems of this sector is providing new technologies to continue operating in a more sustainable environment through a transition to clean energy. The Earned Value Management (EVM) model, as a traditional project management tool, is continuously being revised with new releases and extensions (e.g., ESM, EDM, QEVM, E-EVM, and ZEVM), but to date none of them has applied an expert judgment criterion to be able to modify and anticipate the final result of the project. In such a way, this paper introduces a novel approach to the topic with the so-called Enhanced and Efficient Earned Value Management (denoted E2-EVM) model by including this new capability through the real options methodology, thus helping to support the sustainability of the aerospace sector. This research focuses on three main goals: the description of recent green initiatives in the aerospace sector by checking its contribution to reaching the well-known Sustainable Development Goals (SDGs), the development of a new version of the EVM model by applying the real options methodology, and, finally, the financial contribution to the aerospace industry by applying these initiatives and methodologies.

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 232
Author(s):  
Joaquín López Pascual ◽  
Juan Carlos Meléndez Rodríguez ◽  
Salvador Cruz Rambaud

The framework of this paper is the aerospace industry, which is one of the world’s leading sectors, thus playing a noteworthy role in current society. This makes it especially important to try to optimize the management of the aerospace sector. Therefore, the main objective of this paper is to propose the so-called Enhanced-Earned Value Management (hereinafter, E-EVM) model, able to explore the simultaneous evaluation of many projects, from which the management of the project can take advantage. Additionally, this model considers the possibility of forecasting pending tasks, measurable in time units or cost units, until the end of the project. The main contribution of E-EVM methodology is its capacity to detect both delayed and advanced projects by converting times (hours) into monetary units (EUR). Empirically, this enhanced model has been applied to a real case study in the aerospace industry composed of thousands of subprojects and the results provide the project manager with valuable information to make decisions in a short term. Through computer graphic representation techniques, the visualization of project deployment can be improved. Finally, the E-EVM model can be used even in big projects where a very large volume of information must be simultaneously treated and also, it will be suitable to apply pattern recognition concerning the project performance.


2021 ◽  
Vol 3 (163) ◽  
pp. 159-164
Author(s):  
D. Lysenko ◽  
Y. Fediai

According to the statistics, the majority of IT projects run 50–150 percent over budget, which indicates the importance of managing its cost. In agile methodologies which are widely used in software development, little attention is given to cost management. Lack of specialized cost management tools in agile practices raises the question of the feasibility of adapting traditional project management methods and techniques. The purpose of the research is to improve the quality of IT projects cost control processes by developing a project cost management model using the Agile Earned Value Management method. The paper discusses the EVM techniques which have been adopted to provide the benefits of traditional EVM in Agile projects. There are some misconceptions that EVM techniques are too difficult to perform effectively on projects implemented using agile approaches (i.e. Scrum framework). The challenges are primarily associated with the fact that the EVM method requires creating a complete description of project tasks and a detailed schedule of their execution at the initial stage allowing accurate estimates of the actual data and monitoring the project progress from start to completion. On the other hand, Scrum emphasizes the need for incremental, multi-level planning and discourages planning software projects down to the lowest level of decomposition in the early stages. The reason for this is the high degree of ambiguity inherent in complex software systems, and the high probability of changes that make fully defining the requirements up front nearly impossible. However, upon closer examination of Sprint attributes, such as fixed duration, fixed backlog, cost measurement of sprint tasks, the ultimate goal of delivering a minimum viable product – leads us to the conclusion that Sprint can be considered as a subproject to which the mechanism of the EVM method can be applied using the same metrics. The paper further summarizes the main provisions and guidelines of the AgileEVM method, based on which its process model is developed. The inputs of the model are initial release baseline parameters and data captured at the completion of each Sprint: Planned Sprints (PS); Planned Release Points (PRP); Budget at Complete (BAC); Points Completed (PC), Points Added (PA), and Sprint Cost (SC). The controls are the AgileEVM method guidelines. The mechanisms are project manager and necessary software (MS Excel, MS Project). At the output of the model we obtain forecast indicators: Estimate to Complete (ETC), Estimate at Complete (EAC), Number of Total Sprints (N), and Release Date (RD). The final conclusion of the conducted research is that the application of the Earned Value Management method to projects implemented with Scrum enables the project manager and the project team with a valuable tool to monitor the progress of their work and to take appropriate measures.


2018 ◽  
Vol 7 (3.10) ◽  
pp. 14
Author(s):  
T Subramani ◽  
Joe Cherian

EVM (Earned value management) is a undertaking management tool that uses records primarily based on value, agenda and work performance to outline the modern fame of the project. This facilitates the supervisor to extrapolate current developments to predict their probably very last impact. this approach is proved effective in fee manage. the primavera is project management software program which enables customers to track and analyze performance of task. The document wizard in primavera creates custom designed reviews that extract precise records from its database. The paper outlines the fundamental principles of the EVM & how it could be used effectively for unique challenge with assist of primavera. Additionally a few advantages and headaches of EVM as regards  to Indian creation area. Many construction tasks be afflicted by time and value overruns because of a multiplicity of things. This technique allows everything in evaluation of all budgeted value of work to real value. The existing have a look at deals with the scheduling and venture tracking manner alongside it also discusses principal parameter’s involving in the calculation of earned cost analysis in fee and time control of civil construction project. Using an example of real time venture, methodologies and analysis are demonstrated in this paper.       


2021 ◽  
pp. 1-14
Author(s):  
Seyed Taha Hossein Mortaji ◽  
Siamak Noori ◽  
Morteza Bagherpour

Earned value management is well-known as the most efficient method of project monitoring and control providing relatively reliable information about the project performance. However, this method requires accurate estimates of the progress of project activities, which are always associated with uncertainties that, if ignored or not addressed well, lead to incorrect results. To address this issue, the application of multi-valued logic, in particular fuzzy logic, in earned value management has recently attracted a lot of attention both in practice and research. This paper introduces directed earned value management (DEVM) in which ordered fuzzy numbers are used to express the so-called uncertainties as well as to capture more information about the trend of the project progress. To evaluate the performance of the proposed method, several numerical examples and a case study are presented. The results reveal that compared to the existing methods, DEVM has a lower computational complexity. Also, it doesn’t suffer from the overestimation effect and as a result, it has a higher ability to express project-specific dynamics. In sum, the proposed method allows project managers to make informed decisions that lead to taking preventive and corrective actions promptly and at a lower cost.


2014 ◽  
Vol 971-973 ◽  
pp. 2317-2320
Author(s):  
Xiang Jun Yu ◽  
Chao Xie ◽  
Tian Ming Huang

This paper briefly introduces the basic connotation of earned value management, determine, from the target variable management process design, system function design and system implementation four aspects that the management of defense scientific research project management system design and implementation process based on the earned value, and some reasonable countermeasures to promote the use of the system.


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