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.

Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.

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.

The paradox of enterprise management is the company must continually change in a dynamic and difficult-to-predict environment in order to achieve business continuity and profitability goals. The relatively low efficiency and awareness of the need for change at network organizations means the problems connecting with changes implementation, identification of conditions limiting their realizations and importance of final results are still significant. This article described this issue by the diagnosis of current state of the change management in various types of network organizations and showing how this state can be improved in the future. Assuming the organization will strive for conscious and organized change management.

This paper discusses the approaches of Polish construction managers in terms of their preferences for the use of the two most popular project management (PM) standards and methodologies, namely PMBoK and PRINCE2. Our empirical survey was carried out in a group of managers and construction experts and involved 192 Polish SME companies from the Polish construction sector. The answers to the questionnaire were carefully analysed and interpreted with the use of the Structural Equation Modeling (SEM) Method. The results show what can affect the choice of management methodology, with a particular focus on such latent variables as PM flexibility, rigidity, knowledge and control. Our study provides empirical evidence which contributes to more effective management of investment projects undertaken by construction companies. The most important conclusions from our study are that PMBoK is more likely tied to flexibility and knowledge and PRINCE2 to rigidity and control. However, it does not necessarily mean that PMBoK has an advantage over PRINCE2. Simply put, the choice of the right methodology may depend on a number of other additional factors, such as: project size, its specific environmental conditions, size of a company implementing specific project, etc. Therefore, under certain conditions (e.g. for larger and more complex projects, etc.) it may be advisable to rely on the PRINCE2 methodology.

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.

Agile Project Management is a topic that has become popular both in business and academia, since the publication of the Agile Manifesto – a historic landmark in this subject. In the next 20 years, there was a relevant scientific production that must be analyzed to provoke reflection about the knowledge built up in this period. In this sense, this study aims to analyze the relevant scientific literature on Agile Project Management through a systematic review and a bibliometric analysis of articles published in scientific journals with Digital Object Identifier, in English, from the Web of Science and Scopus databases, from 2001 to 2021. The research results enable us to gain insights into the characteristics of this knowledge domain, regarding its volume and evolutionary trend, main contributors (i.e. scientific journals, authors, and their affiliations), main studies, methods used, and its central thematic axes.

The methodology and research results presented in the article indicate the practical possibility of conducting optimization of construction project management course. The goal of the achievement leads to the rationalization of the management of investment tasks, in which there are a series of uncertain parameterized events. The goal was achieved through many years of the author’s own research, which was personally carried out on several hundred construction projects according to original methodology for assessing and forecasting the characteristic parameters of construction investments (cost and time) in conditions of uncertainty: from determinism, through probability and randomness, to fuzziness. The presented and documented achievement stands for accomplishment in project management of construction projects, where decision-making with an increasing degree of uncertainty takes place and requires the course of investment tasks that will be implemented in the future to be forecasted. In the conducted research and conclusions it was proven that construction processes should be considered as phenomena with random events and various degrees of uncertainty, to which methodology with developed modelling parameters should be used.

The REVM method is a modernized option of classical EVM method. The new method has been developed for applying in unstable condition of works implementation. When the works can be accidentally disturbed and the impact of random disruption factors on course and results of works must be taken into consideration. Next, Randomized Budgeted Duration to Completion and Randomized Budgeted Cost to Completion that is duration and cost of works remaining to execution after each inspection, as well as the Randomized Budgeted Duration at Completion and Randomized Budgeted Cost at Completion that is duration and cost of all works of the project completion after the site inspection. Moreover, the risk of durations and costs overrun of works are evaluated. It is important that input data required for the REVM method are the similar and are measured in the same way as in typical control of advancement works. But results of the application consist new decision information. Control of the investment under deterministic conditions, without taking into account the risk of disruptions, resulted in a final deviation from the planned budget of over 7%, and from the planned completion of the investment by almost 12%. Without analysing the factor related to disruptions at the investment implementation stage, the material and financial schedule was completely outdated. On the other hand, when controlling the investment under risk conditions and introducing organizational and technological changes adequate to the inspection reports, the final deviation from the planned budget was less than 2%, and slightly more than 2% from the planned completion date. Researches confirm that the results received by using the REVM method well reflect real situation of works implementation.

Complex construction projects require appropriate planning that allows for time and cost optimization, maximization of the use of available resources and appropriate investment control. Scheduling is a complicated process, due to the uncertainties and risks associated with construction works, the paper describes the development of the scheduling method traditionally used in Poland, based on data from KNR catalogs, by using the RiskyProject Professional program. In the RiskyProject Professional program, the risk and uncertainty with reference to a specific construction project were modeled, and the calculation results were compared with the real time of the project implementation. The conclusions from the work carried out confirm that the SRA (Schedule Risk Analysis) analysis of the base schedule allows for a more faithful representation of the actual conditions of a construction project. The probability of investment realization generated on the basis of the SRA analysis may be assumed at the level of 75÷90%.

Modeling and numerical analysis of the design of building structures, their technology, organization and management methods of construction processes are the subject of the work of many scientists in Poland. Schedule designers try to best reflect the reality of construction projects with the available methods, although this procedure is not always successful. One of the scheduling methods is the Time Coupling Methods (TCM), which can be refined using the predictive durations of the Multivariate Method of Statistical Models (MMSM) construction processes and standard deviations. A new scheduling method in the probabilistic approach was developed – Probabilistic Time Couplings Method I (PTCM I). At PTCM I, work is organized in such a way as to maintain the continuity of work of employees, as downtime of workers is disadvantageous and costly. The total duration of the new investment was forecasted and compared with the other methods of scheduling and with real time after its completion. The results clearly show that the developed methodology can be successfully used in scheduling construction works.