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Stochastic Programming Model in Agricultural Production Decision Support System


Dukić, Gordana; Tolušić, Zdravko; Sesar, Mate
Stochastic Programming Model in Agricultural Production Decision Support System // Proceedings of the 19th Central European Conference on Information and Intelligent Systems (CECIIS 2008) / Aurer, Boris ; Bača, Miroslav ; Rabuzin, Kornelije (ur.).
Varaždin: University of Zagreb - Faculty of Organization and Informatics, 2008. str. 353-357 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Stochastic Programming Model in Agricultural Production Decision Support System

Autori
Dukić, Gordana ; Tolušić, Zdravko ; Sesar, Mate

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 19th Central European Conference on Information and Intelligent Systems (CECIIS 2008) / Aurer, Boris ; Bača, Miroslav ; Rabuzin, Kornelije - Varaždin : University of Zagreb - Faculty of Organization and Informatics, 2008, 353-357

ISBN
978-953-6071-04-3

Skup
19th Central European Conference on Information and Intelligent Systems (CECIIS 2008)

Mjesto i datum
Varaždin, 24-26.09.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Agricultural production planning; stochastic programming model; decision support system; computer optimization

Sažetak
Agricultural production depends on various factors which are frequently impossible to control to a sufficient degree. Consequently, it is not possible to determine precisely parameter values, which is a major problem for decision-makers when putting up a plan for the type and quantity of agricultural output that should be produced and offered on the market. Since applying deterministic models cannot yield satisfactory results in such circumstances, it is necessary to improve the decision support system by implementing stochastic programming. Its basic feature is defining parameters of the model as random variables. In order to establish solutions to the problem set in this way, the stochastic programming model has to be transformed into a deterministic form, which then results in one or more constraints of non-linear character. Given that this form of mathematical optimization is very complex to solve, it requires managers to use computers and adequate software in order to carry it out. In this paper, the proposed model of decision-making in agricultural production, based on computer optimization, is first considered from a theoretical viewpoint. After that, the procedure of its construction and solution is illustrated on a hypothetical example.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Filozofski fakultet, Osijek