EconPapers    
Economics at your fingertips  
 

The Model of Stochastic Optimization of Production under Uncertainty and Risk

Alex Borodin and Nataliya Shash

Asian Social Science, 2018, vol. 14, issue 5, 33

Abstract: The article describes possibilities of application of models of stochastic optimization of output. The features of the application of various problems of stochastic optimization. The expediency of application of methods of network planning method, PERT, and in the process create the network model of production. It is shown that in conditions of uncertainty and risk when it is difficult to accurately determine the values of the parameters of the problem the use of stochastic models in the planning process of production allows to achieve higher profitability. The authors propose a stochastic model of optimal output and practical recommendations for its application in the activities of industrial enterprises is concluded that to improve the efficiency of planning processes of production it is advantageous to combine the proposed stochastic optimization model with the method of analysis and evaluation of programs.

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/ass/article/download/72551/41243 (application/pdf)
https://ccsenet.org/journal/index.php/ass/article/view/72551 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:assjnl:v:14:y:2018:i:5:p:33

Access Statistics for this article

More articles in Asian Social Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

 
Page updated 2025-03-22
Handle: RePEc:ibn:assjnl:v:14:y:2018:i:5:p:33