The paper discusses a number of construction project logistics problems, with focus on supply systems, and presents the results of recent survey of Polish contractors’ supply routines. On the basis of the survey, patterns of development of logistic systems have been described. The enclosed results of cost simulations indicate that outsourcing supply logistic processes, considering the current state of Polish construction market, may reduce costs. The paper emphasises that creating logistic guidelines of a project at its early stages of planning and then a design of integrated logistic service to the project may help find ways of making a construction project more effective.

Earned Value is a well-known project management tool that uses information on cost, schedule and work performance to establish the current status of the project. By means of a few simple rates, it allows the manager to extrapolate current trends to predict their likely final effect. The method is based on a simpli-fied model of a project, but proved to be useful in practice of cost control. It is being developed to account better for schedule and time aspects. The paper outlines the basic principles of the method and its recent extension, the Earned Schedule method, and, with help of a few examples, investigates into assumptions that affect their diagnostic and predictive accuracy.

Estimates of the construction time are of key importance in the early phases of the projectthey serve as a basis for the decision whether to commence with planning or not, and are used as input for budgets and programmes. Usually, such estimates base on experience with similar projects completed in the past. This experience may be recorded in the form of mathematical models that relate project characteristics to construction time. The aim of the research was, basing on real-life cases, to develop a model of public road building projects duration. The research comprised collection of input for the analyses, preselection of project features correlated with duration, and construction of three models: a simple statistical regression, a multifactor regression and a regression tree. The models were then compared to each other and to the models presented in the literature with respect to their predictive ability. With the assumed set of potential predictors of construction duration, the regression models were found statistically correct, though not precise enough be used as decision-support tools.