Pregled bibliografske jedinice broj: 372028
Stochastic Programming Model in Agricultural Production Decision Support System
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: Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2008. str. 353-357 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 372028 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 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, Hrvatska, 24.09.2008. - 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