Abstract. Calendar planning is a key tool for efficient management applied in many industries: power, oil & gas, metallurgy, and construction. As a result of the growing complexity of projects and arising need for improvement of their efficiency, a large number of software tools for highquality calendar planning appear. Construction companies are facing the challenge of optimum selection of such tools (programs) for distribution of limited resources in time.The article provides analysis of the main software packages and their capabilities enabling improvement of project implementation efficiency.
In the last few decades, the Russian construction market has seen competition grow fierce among contractors. All of the market players strive to surpass their competitors, while the clients face a serious task of organizing the bidding procedures in keeping with internal regulations and in line with the federal law on procurement. This paper suggests a mathematical model which uses the systemic integrated approach to evaluate the resource potential of a construction company participating in the procurement process. To this effect, research of international procurement experience has been conducted and its findings have enabled the authors to outline and assess the key factors shaping the behavior of the suggested model. As a result of the research, recommendations have been developed for an efficient systemic integrated evaluation of the resource potential of a construction company in order to improve the quality of procurement processes in the construction sector.
Abstract. To streamline construction planning, one needs to assess and perform trial modeling of organizational and process-related factors impacting the final planned performance indicators. A proper calendar plan, one that would take due account of said factors, has a substantial impact on the efficiency and, sometimes, even the feasibility of a construction project as a whole. Therefore, the purpose of this paper's research is to develop a method for determining optimum technical and economic parameters. A method should be considered legitimate which, given the labour intensity of the jobs assigned to a crew and the list of such jobs, makes it possible to determine the time said jobs will take to perform depending on the variation of the following factors: crew/unit numbers, job synchronization degree, job performance sequence, number of shifts and unit productivity. The authors have studied the algorithm and the method for the trial modeling of organizational and process-related factors when developing a calendar plan in order to identify qualitative time-specific and feasibility parameters. The paper reviews the example of how the optimum performance timelines for each crew can be determined.
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