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In conditions of global economic instability the success of electromechanical enterprises depends on their ability to react quickly to challenges of external environment. In order to create background and conditions for this ability the given enterprises refer to manufacturing activity planning, using a probabilistic approach based on forecasts that may not be true. The question of provision of more complete consideration of various internal and external factors and acceleration of decision making process and reaction to changing business environment arises before the organizations that concern more effective scheduling policy. International practice of solving such problems generally leads to qualitative discussion, whereas quantitative assessment of impact of control parameters of enterprise is not practically used, because there is no one systematic approach to manufacturing activity planning. On the basis of studying of international practices methodical guidelines of scenario approach to manufacturing activity planning with mathematical modeling of economics of producer price on electromechanical enterprises have been developed, which reasonably could be used with reference to and interaction with enterprise manufacturing program. The described approach allows solving planning problems iteratively in real-time mode concerning profit maximization, to form producer prices, to divide overhead costs according to the type of products and carry out cost accounting according to the type of a product, and it will provide functional interaction between factors and performance indicators.
economic impact, TK1001-1841, TJ807-830, enterprise, forecasting, economic-mathematical modeling, sustainability, Renewable energy sources, TK1-9971, scenario, production activity, Production of electric energy or power. Powerplants. Central stations, a, production program, Electrical engineering. Electronics. Nuclear engineering, planning, uncertainty
economic impact, TK1001-1841, TJ807-830, enterprise, forecasting, economic-mathematical modeling, sustainability, Renewable energy sources, TK1-9971, scenario, production activity, Production of electric energy or power. Powerplants. Central stations, a, production program, Electrical engineering. Electronics. Nuclear engineering, planning, uncertainty
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