Decisional Models and Aspects for Optimal Manage of Some Production Processes

Keywords

models, decisions, generalized gradient, stochastic

Abstract

Decisions about supplied goods depend of used technologies, of possibilities to acquire necessary factors, of quality of products, of demand level etc. Usually, firms cannot get a 100% level of qualitative goods, dividing them in some groups or categories. We research three generalizations of the classical model, where expected profit depends of quantity of good of first quality, of prices for each category, of demand level. We propose to solve described models using method of projection of generalized gradient. There are present some experimental results for different demand behavior.

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