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EN
Probabilistic critical path method PERT assumes beta distribution as probability distribution of task duration. PERT assumes that experts estimate parameters of task duration ("most likely time", "optimistic time", and "pessimistic time" for each activity) according to beta distribution nature. It's not always true. In the paper we assume that the durations of tasks are fuzzy sets. On the base of expert data we construct membership function of task duration. These fuzzy sets are used for project scheduling and for buffer size calculation. The illustrative example is presented
PL
Celem artykułu jest prezentacja sposobów pomiaru efektów projektów innowacyjnych. Aby potwierdzić skuteczność działań prowadzonych na rzecz zwiększenia innowacyjności konieczne jest wprowadzenie systemów pozwalających na pomiar ich efektów. W pierwszej części artykułu zostały przedstawione teoretyczne zagadnienia związane z innowacyjnością, pomiarem efektów projektów oraz pomiarem poziomu innowacyjności. Złożony charakter innowacyjności powoduje, że jej kompleksowy pomiar wymaga zastosowania kompozycji wielu mierników. W drugiej części opracowania zostały przedstawione wyniki studium przypadku - analiza mierników służących do oceny efektów międzynarodowych projektów innowacyjnych realizowanych w ramach wspólnej inicjatywy o nazwie KIC Innoenergy.
EN
The aim of the article is to present ways to measure the effects of innovation projects. To confirm the effectiveness of the work being done to increase the innovation necessary to introduce systems to measure their effects. The first part of the article presents theoretical issues related to innovation, project outcomes measurement and the measurement of the level of innovation. The complex nature of innovation makes its comprehensive measurement requires the use of a composition of many meters. The second part of the study presents results of a case study - an analysis of indicators used to assess the effects of international innovative projects realized under the initiative KIC Innoenergy.
EN
Planning is one of the most important aspects of project management. A project plan defines objectives, activities and timeframe for project realization. To be able to define the required timeframe for project realization it is important to prepare its schedule. The purpose of this paper is to present the project scheduling problem as a multiple criteria decision making problem and to solve it using two evolutionary algorithms: SPEA2 and an evolutionary algorithm driven by the fuzzification of Pareto dominance. A comparison of these two approaches is conducted to investigate if it is reasonable to use the fuzzification of the Pareto dominance relation in evolutionary algorithms for the multiple criteria project scheduling problem
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