In this paper authors present the set of data on the factors affecting the implementation of construction projects in Poland. To develop that data, surveys were conducted among companies and engineers working in construction industry. The result of the paper is classification of the factors affecting the implementation of construction projects, due to the degree of significance. Elements of the fuzzy sets theory were applied, to order those factors, and to develop their formal description. Authors also describe possibility of using ordered factors, to determine the potential risk of variability of the implementation factors. This could be the basis for the design of construction projects in Polish conditions
The paper presents fourth version of specialist useful software in scheduling KASS v.2.2 (Algorithm Scheduling Krzeminski System). KASS software is designed for construction scheduling, specially form flow shop models. The program is being dedicated closely for the purposes of the construction. In distinguishing to other used programs in tasks of this type operational research criteria were designed closely with the thought about construction works and about the specificity of the building production. The minimal time, the minimal slack of brigades, the minimal slacks of the chosen working brigade and costs of the transfer operation of working fronts are included in operational research criteria between work centers. It is possible to enter data into the program both by hand as well as to load the Excel from files, similarly is with results, they are presented on-screen as well as a possibility of enrolling them in the existing file Excel. An element is very valid for it since allows for further simple processing of received results. In providing software for performing operational research calculations a technique of the complete review and simulation technology are being exploited. A program describing algorithms is used which will stay in the article as well as shown computational examples will remain.
Multiple-criteria analysis methods are a useful tool for decision making support in everyday engineering practice. They turn out to be especially helpful when one considers numerous variants described by many parameters, such as commercially available drywall systems -plasterboard partition walls, claddings and suspended ceilings. In this study four methods of multiple-criteria analysis are investigated (weighted sum, weighted product, ideal point and PROMETHEE II) and 7 normalization algorithms (vector, Manhattan, maximum, Weitendorf linear, Jüttler-Korth linear, Peldschus nonlinear, Zavadskas and Turskis logarithmic) and their influence on the rankings obtained for 5 groups of products: plasterboard partition walls without fire resistance, EI30 partition walls, hard partition walls, suspended ceilings and ceiling claddings. The study shows high sensitivity of the commonly used methods to input data normalization algorithms and indicates the need for a cautious approach to the results obtained by them.
Abstract.One of the most expensive projects in the construction industry are railway projects. High costs and specificity of implementation involve high risks throughout the investment and construction process. Over the years, project management methodologies have been developed that facilitate, among other things, the management of risk factors This article reviews the recommendations for risk management in each methodology. In addition, their usefulness have been evaluated in railway construction. Risk issue in railway projectsOne of the most expensive projects in the construction industry are railway projects [1,2,3]. The reason for this is primarily from the very wide range of works being carried out [4]. It also causes a long investment period [5,6,7]. These values, i.e. cost, range and time [8,9] are, according to many recognized methodologies(for example: PRINCE2, PMBOK, AGILE, IPMA, ITIL, SCRUM or JASPERS) three basic parameters of the project. Moreover, they are closely related, so that modifying the value of one parameter results in at least one of the other two. These three methodologies supplement the basic parameters with additional parameters. The parameters differ depending on the methodology, but each of them takes into account the issues related to the management of risk factors. In the article, the authors attempt to compare the ways of managing the risk factors represented by the individual methodologies, and also assess which of them would be most appropriate for the implementation into railway contracts. Methodologies used in project managementThe year of the first project management methodology is considered to be 1942, when relevant studies were prepared for the Manhattan Engineering District Project. With the passing of time, new methodologies have appeared while the existing ones have been developing.. As a result of this process, there are a whole array of different methodologies today. What is the reason for such a large development of the area of project management knowledge? The reasons are mainly three. The first one is the geographic cause. In different
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