UDC 004.02: 338.2
Authors
L. S. ZVYAGIN
PhD, associate Professor of the Department «System analysis in economics»,
Financial University under the Government of the Russian Federation, Moscow, Russia
Abstract
Due to the increasing complexity, objects are currently considered as complex systems, and both researchers and practitioners have begun to apply complexity theory also in the field of project management. Complex adaptive systems are characterized by a large number of objects with a high level of nonlinear interactivity; they exhibit some different characteristics and various types of systematicity, such as hierarchy, interconnectedness, control, communication, emergence, adaptability. Complex adaptive systems learn and develop through adaptation and thereby survive by processing information and constructing diagrams based on experience. A very relevant issue in the management of complex objects is the handling of uncertainty. General uncertainty management is a prerequisite for effective project management, but this requires more attention along with the use of more complex methods and techniques than those used in current general practice. In order to effectively cope with complex projects, managers must adopt a pluralistic approach to practice. They should be able to use a wide range of tools and ways of thinking to develop their own methods, their own models of practice, freely, in accordance with the needs of a particular project. If projects become more complex for a number of reasons, ranging from the size of technical complexity, or environmental conflicts or political constraints, then the usual project management methodologies should be adapted, and managers should be able to analyze situations from different points of view and work using more models. Thus, the uncertainty of planning implies a willingness to revise the project plan when the situation requires it.
Keywords
analysis, investment risks, complex systems, fuzzy logic methods.
