DefinePK

Abstract

Existing R & D advancements are accompanied by increase in complexity of developed engineering systems and facilities, involved in major critical industries, such as nuclear plant industry, oil and gas production, aircraft and defense industry, transport, and so on. At current stage the development of complex engineering systems (CES) is a labor consuming process, since it is related with significant expenditures of material and financial resources under risks stipulated by uncertainty of internal and external factors of project environment, it involves scientific researches, designing and experimental activities, field tests, and development of documentation. Increase in CES complexity results in increased designing times, decreased quality of CES, violation of CES designing terms, or just in project failure. Thus, high quality designing of CES under conditions of uncertainty is an urgent and significant problem for numerous modern enterprises. This work, aiming at elimination of risks, decrease in managerial errors adopted by project directors under conditions of interval uncertainty of initial data, proposes to apply estimation of time and cost of CES designing on the basis of genetic algorithm comprised of analysis of possible designing alternatives.