this paper presents the formulation and solution of the combinatorial multi-mode resource constrained multi-project scheduling problem. the focus of the proposed method is not on finding a single optimal solution, instead on presenting multiple feasible solutions, with cost and duration information to the project manager. the motivation for developing such an approach is due in part to practica...

Lufthansa Technical Training GmbH (LTT) runs training courses for Lufthansa Technik AG and for several other international airlines. It offers about 670 types of courses of which several hundred take place each year. The course-scheduling problem LTT faces is to develop a schedule for the year that maximizes its profit while meeting complex precedence, temporal , and resource-related constraint...

In modern business world group decision-making is becoming an extremely important activity. Recent research on computerized group decision support has focused extensively on supporting people co-located in place and time. There is a need, however, for more research focused on asynchronous group decision support systems (GDSS). Multicriteria decision-making (MCDM) theory has produced a wide rang...

Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a new interdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing ...

We propose modeling Group Support System (GSS) search tasks with Genetic Algorithms. Using explicit mathematical models for Genetic Algorithms, (GAs), we show how to estimate the underlying GA parameters from an observed GSS solution path. Once these parameters are estimated, they may be related to GSS variables such as group composition and membership, leadership presence, the specific GSS too...

Introduction Pragmatic trials of treatment pathways can require patient awareness of treatment allocation in order to better represent clinical reality, for example when concordance with a treatment has an important effect on outcome. Conversely, masking of treating clinicians to allocation group can be impossible when full clinical assessment requires knowledge of the current treatments, resou...

Recent alliance use a come to of types of decision support systems to make feasible decision support. In lots of gear OLAP based tools are used in the industry area enabling quite a few views on data and all the way on or after side to side that a deductive go forward to data analysis. Data mining make bigger the credible for decision support by discover pattern and relatives unseen in data and...