In the paper an approach to modeling of requirements management process associated with IT projects is considered. The requirements management model includes three stages. The first stage is related with the choice of business requirements, which are described in the project solution and define the project scope. The second stage includes development of a model that is associated with accepting, rejecting, clarification or classification as ‘additional task’ for every of incoming user requirements. On the third stage for all the accepted user requirements priorities of system requirements are formulated; these priorities are subsequently used for project planning. The decision making models are based on the methods of analytic hierarchy process (AHP) and analytic network process (ANP), as well as on SuperDecisions decision support system.
The Modeling of problem situations is a very important issue in decision-making theory. Actually, there are no decision support systems which include decision making methods under risk and uncertainty. The main advantage of proposed approach is ability to process dependences and feedbacks which may exist between conditions, sub-conditions and their realizations.
A new hierarchical model of decision making under multiple criteria that form a multilevel system is proposed. With this model, one can use approaches and methods of the criteria importance theory to collect information about the importance of criteria and use it to analyze practical multicriterial decision making problems in a correct way.
The increase of supply chains efficiency requires optimization of all types of logistic operations and functions. One of such functions is a choice of intermediaries (carriers, freight forwarders, suppliers, service enterprises etc.). The article discusses the analytical and expert approaches which serve as a basis to choose the intermediaries; along with it, in the article a comparative evaluation of choice expert methods is done: point-rating assessment, analytic hierarchy process and the general algorithm for selecting; the conclusions have been drawn about the applicability of each method