Almost every construction investment should contain elements of risk forecasting, whose validity depends, among other things, on the correct assessment of potential threats. These risks were defined by the Authors as risk factors that were characterized and then grouped on the basis of performed research in the scope of their identification. Due to lack of method of scheduling railway investments on the construction market, including risk assessment, a research effort was undertaken [14-17], the result of which is the proposed method. The article presents the main assumptions of the original method of rail investment planning, which on the one hand, will take into account the impact of potential threats identified previously by the Authors, and, on the other, will allow project managers to refer to the conditions in which the implementation of a specific facility is planned. The assumption was made that the method, relatively easy to implement, supported by an appropriate computational program, will encourage teams planning the implementation of railway undertakings to its application and will improve the reliability of the schedules they develop.
The article highlights the fact that numerous key decisions in temporary construction organisations are made as a result of informal, non-contractual relationships between organisation members that are not a result of formal organisational structures. These hidden relationships can be visualised in the form of social networks and Social Network Analysis methods (SNA) can be used to perform their structural analysis. In latest studies on self-organising networks in the construction sector, researchers have mostly focused on the design phase of large construction projects, e.g. infrastructural ones. Meanwhile, there exists a need for similar research to focus on temporary organisations created for the purpose of performing construction work. The authors took up this subject and examined a self-organising network of communication between the participants of the construction of a multi-family residential complex located in Katowice, Poland. The structural analysis of this network facilitated its in-depth understanding and identifying certain flaws and dysfunctions concerning individual participants of this project, which became a basis for further discussion. At the same time, the authors highlighted the benefits of managing such a self-organising network in the context of the effective achievement of project goals.
The paper presents the problem of building disturbances, which are usually an inseparable element during the implementation of construction projects. They were classified, their causes and sides of the construction process responsible for their creation were identified on the basis of the analyzed construction investment. In addition, using the Earned Value Management method, the scale of delays arising in construction works and the related effects were determined. The important role of close cooperation and good communication between all participants of the construction process was emphasized, which would reduce the phenomenon of building disturbances, but also mitigate the negative effects of delays that have already occurred.
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