Production rates for various activities and overall construction project duration are significantly influenced by crew formation. Crews are composed of available renewable resources. Construction companies tend to reduce the number of permanent employees, which reduces fixed costs, but at the same time limits production capacity. Therefore, construction project planning must be carried out by means of scheduling methods which allow for resource constrains. Authors create a mathematical model for optimized scheduling of linear construction projects with consideration of resources and work continuity constraints. Proposed approach enables user to select optimal crew formation under limited resource supply. This minimizes project duration and improves renewable resource utilization in construction linear projects. This paper presents mixed integer linear programming to model this problem and uses a case study to illustrate it.
Underground spaces having features such as stability, resistance, and being undetected can play a key role in reducing vulnerability by relocating infrastructures and manpower. In recent years, the competitive business environment and limited resources have mostly focused on the importance of project management in order to achieve its objectives. In this research, in order to find the best balance among cost, time, and quality related to construction projects using reinforced concrete in underground structures, a multi-objective mathematical model is proposed. Several executive approaches have been considered for project activities and these approaches are analyzed via several factors. It is assumed that cost, time, and quality of activities in every defined approach can vary between compact and normal values, and the goal is to find the best execution for activities, achieving minimum cost and the maximum quality for the project. To solve the proposed multi-objective model, the genetic algorithm NSGA-II is used.
We investigate the problem of setting revenue sharing rules in a team production environment with a principal and two agents. We assume that the project output is binary and that the principal can observe the level of agents’ actual eort, but does not know the production function. Identifying conditions that ensure the eciency of the revenue sharing rule, we show that the rule of equal percentage markups can lead to ination of project costs. This result provides an explanation for project cost overruns other than untruthful cost reporting.
This paper focuses on the analysis of selected risks as part of investments in the power
engineering at the initial (tender) stage of the life cycle in the context of the method of
project management by the Contractor. The study was carried out on the basis of an
analysis of over 500 tenders in the power engineering, from the last 5 years, taking into
account future forecast data. The analysis carried out in this article was aimed at achieving
specific and unique goals and results aimed at creating a useful product, which is the
Contractor’s offer in the power engineering, taking into account the most significant risks.
The result of this article is to support the project team in implementing risk management
in the project at the tender stage. For this purpose, the risks with their basic parameters
were defined, which allowed for the development of a risk matrix taking into account the
data obtained in the tender procedures of leading electric power distributors. Based on
the proposed risk quantification criteria, a list of remedial actions was prepared for all risk
types listed in this article. In addition, the aspects of possible elimination/reduction of the
impact of the most significant risks that occur at the analyzed stage of the investment life
cycle were developed.
At present, it is said that Industry 4.0 is the fourth industrial revolution. Like the previous ones, it also has the ability to transform economies, jobs and societies. Our expectations are changing to the speed of obtaining answers to the questions asked. This is done by introducing new technologies and processes. This is an opportunity for Polish participants of local heat markets, or participants of the power or energy market. who are currently facing profound changes and investments forced, among others, by BAT conclusions. Such mega-processes as digitization, automation, artificial intelligence, IoT, machine learning are increasingly penetrating the world and business. More than 200 years have passed since the first industrial revolution, which was the use of the steam engine, and the requirements for testing the efficiency of enterprises have changed, which themselves are changing very quickly. The basic efficiency measures used in a given sector often result from the specifics of the sector and its degree of development on a macroeconomic scale. Therefore, it is worth placing the energy company in this environment and presenting its role to better match the instruments used. The above is also associated with increased reporting and the need to use additional evaluation measures, e.g. effectiveness of individual projects. It is therefore worth analyzing the available literature in this area, and the performance measures available and used in it, which will help in assessing the effectiveness of management, despite political and regulatory turmoil, and help us use the opportunities brought by the fourth industrial revolution.
For a long time creativity, innovativeness and entrepreneurship have been at the heart of studies on economic growth of regions and cities. In the paper the three notions are scrutinised together to propose conceptual approach to establishing research and development pathways, based upon three-stage identification of: research problems, project patterns and relational mechanisms. The paper is concluded with a 63 Box – the approach helping to navigate throughout project preparation phase.