Complex construction projects are developed in a dynamic environment, where uncertainty conditions have a great potential to affect project deliverables. In an attempt to efficiently deal with the negative impacts of uncertainty, resilient baseline schedules are produced to improve the probability of reaching project goals, such as respecting the due date and reaching the expected profit. Prior to introducing the resilient scheduling procedure, a taxonomy model was built to account for uncertainty sources in construction projects. Thence, a multi-objective optimization model is presented to manage the impact of uncertainty. This approach can be described as a complex trade-off analysis between three important features of a construction project: duration, stability, and profit. The result of the suggested procedure is presented in a form of a resilient baseline schedule, so the ability of a schedule to absorb uncertain perturbations is improved. The proposed optimization problem is illustrated on the example project network, along which the probabilistic simulation method was used to validate the results of the scheduling process in uncertain conditions. The proposed resilient scheduling approach leads to more accurate forecasting, so the project planning calculations are accepted with increased confidence levels.

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This article presents an approach to problems of emergency management on motorways using a Decision Support System (DSS). The advantages of this approach in comparison with conventional operational methods are acceptable data management costs provided by spatial data already stored in a Geographical Information System (GIS), generation of new data using various spatial functions as well as transparency for all emergency services. DSS deploys GIS in conjunction with other decision models thus becoming a powerful tool for the coordination of all participants in a decision-making process during emergency situations giving them a more cooperative surrounding. For the purpose of more efficient emergency management on motorways, the main idea is to provide an organisational support by combining GIS with decision models in order to provide an effective spatial DSS concept.

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