Development of a Decision Support System in Project Management

Abstract

In a number of scientific works, the authors consider the problems of development of the various sectors of the industry and suggests methods of solution in the framework of the theory of managing projects and portfolios of projects. It should be noted that in the project management process many different solutions are adopted. All of these solutions can be divided into two groups. The first group is solutions that are associated with current issues and not related to the implementation of the project (for example, with the personal interests of staff of the project). The second group of decisions influences significantly the effective implementation of the project. These decisions are made by the head of projects, and they directly affect the achievement of the goals of the project. Moreover, the project manager has to make decisions constantly, at every phase of the life cycle of the project requires the adoption of certain man-agerial decisions. Decision-making is practically difficult because of the diversity and complexity which requires the consideration of the business processes of investment, production, financial, managerial, as well as numerous characteristics of external and internal market environment of a business project. It is incumbent on decision-makers to face complex problems, an effective solution of which is impossible without the use of a systematic approach. The paper identifies the levels in the system of support of decision-making. The analysis of the solution process of the activities of the project tasks is carried out to develop a conceptual model of information support of decision-making. The simulation system is for decision support and shows how information is stored in the internal database. The features of the ar-chitectural approach to implementing a decision support software product are demonstrated, as well as testing such a system is illustrated by examples. Using this information system provides the advantages as e.g. are receiving different types of messages quickly; increasing the speed of decision-making; rapid detection of trends using predictive methods.