ARTÍCULO
TITULO

Decision-making models and algorithms for managing a pipeline of capital construction projects

A.A. Vagulina    
V.A. Vazhinsky    
A.S. Korolev    

Resumen

The object of research is the process of implementing a pipeline of investment and construction projects. The subject of the research are decision-making models and algorithms for managing a pipeline of capital construction projects. The purpose of the study is to improve the efficiency of the portfolio management process by developing and testing in practice a decision-making methodology for managing a pipeline of capital construction projects. A study of the problem of project and portfolio management in relation to the construction industry of the Russian Federation is being carried out, confirmed by official statistics; review of existing models and methods of decision-making in project management and portfolio management.A qualitative and mathematical description of the developed methodology and the general algorithm for its use, are presented and detailed by the description of the normalization algorithms of data regarding classifiers of key events and works, verification of compliance with the technological sequence of works, deadlines forecasting based on a simplified critical path method, calculation of project readiness based on the method of weight coefficients, aggregating performance data at the portfolio level.The results of the approbation of the developed methodology on the portfolio of the targeted investment program of the Sakhalin Region based on the existing software solution are presented. A qualitative and quantitative comparison of management processes in similar projects where the implementation of the methodology was not carried out is presented. In conclusion, the findings were drawn about the effectiveness of the methodology based on the results of its practical testing, and directions for further development and improvement of the methodology were identified.

 Artículos similares

       
 
Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima    
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t... ver más
Revista: Water

 
Nisa Boukichou-Abdelkader, Miguel Ángel Montero-Alonso and Alberto Muñoz-García    
Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality resul... ver más
Revista: Computation

 
Ivan S. Maksymov    
Ambiguous optical illusions have been a paradigmatic object of fascination, research and inspiration in arts, psychology and video games. However, accurate computational models of perception of ambiguous figures have been elusive. In this paper, we desig... ver más
Revista: Algorithms

 
Ivan S. Maksymov and Ganna Pogrebna    
We propose a quantum-mechanical model that represents a human system of beliefs as the quantised energy levels of a physical system. This model represents a novel perspective on opinion dynamics, recreating a broad range of experimental and real-world da... ver más
Revista: Information

 
Haibo Chu, Zhuoqi Wang and Chong Nie    
Accurate and reliable monthly streamflow prediction plays a crucial role in the scientific allocation and efficient utilization of water resources. In this paper, we proposed a prediction framework that integrates the input variable selection method and ... ver más
Revista: Water