The foundations of modeling management processes for innovation projects in production-economics systems

Abstract

The article describes a criteria-based approach to calculate the total risk obtained by the use of forecasts in prognostic models in order to solve tasks in production-and-economic systems; this chapter also outlines the difficulty of recording risks received by the use of prognostic functions and values in mathematical operations and by applying the set of prognostic functions and values with various risk values.

Planning and Management Tasks of Innovation Projects in Production and Economic Systems

“…[7] as crucial points in decision-making helps to avoid infinite-horizon problems [22] and exclude innovative regression in PES introduced by the corresponding member of RAS D.A. Novikov [23].…”

The Risk Assessment Method in Prognostic Models of Production Systems Management with Account of the Time Factor

“…We can estimate decision points if a set of controlled parameters is known (according to the stages and specifics of the characteristics change), and the additional information on the PS properties that we control (equipment maintenance periods, internal production cycles, etc.) (Faizrakhmanov and Mylnikov, 2016).…”

The Management of Innovation Projects' Implementation in Production-and-Economic Systems: The Use of Prognostic Models for the Risk Metrics of Obtained Decisions

“…These curves have progress phases; except that, production-and-economic systems also have internal cycles. Shift points from one phase to another phase together with the points that indicate the end and the start of internal cycles of production-and-economic system generate multiple points for decision making [6].…”

“…Such tasks comprise the tasks for volume scheduling in production planning of goods, procurement planning of components and parts, expected demand-based pricing etc. (depending on the applied methods and the phase of project or system implementation as well as parameters and indexes used to take managerial decisions) [6]). Such tasks particularly require the use of criteria-based methods and prognostic data with criteria functions and time parameter restrictions.…”