A Statistical Algorithm of Disaggregating the Industrial Enterprise Restructuring Strategy
Journal Title: Проблеми економіки - Year 2016, Vol 2016, Issue 1
Abstract
The aim of the article is to develop and test an algorithm of disaggregating the strategy plan for restructuring industrial enterprises within the concept of optimal planning based on the mathematical formulation of the problem of coordinating the strategy plan and strategic plan as well as statistical methods for solving complex in terms of their structure optimization problems of a combinatorial type. It is shown that in contrast to hierarchical systems of production and calendar planning characterized by a high level of certainty of procedures for aggregation and disaggregation of plan components of various hierarchical levels, the problem of disaggregating the strategy into more detailed strategic plans should be viewed as a problem of making decisions under conditions of uncertainty. There have been implemented a mathematical formulation of the problem of developing an optimal strategic plan based on the known strategy in an extended statement providing a possibility to correct the strategy parameters and other conditions of the strategic plan implementation to ensure the problem solvability. In order to demonstrate the feasibility of such a formulation, a statistical optimization algorithm, which allows obtaining economically meaningful approximate solutions, was developed and tested on a conditional numerical model.
Authors and Affiliations
Mariia Kozyr-Chepurna, Alexey Alyokhin
Keywords
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