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A Decision Model for Bakery Production Using a Monte Carlo Approach (CROSBI ID 589303)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Dukić, Gordana A Decision Model for Bakery Production Using a Monte Carlo Approach // Proceedings of the 6th International Congress “ Flour - Bread '11” / Koceva Komlenić, Daliborka (ur.). Osijek: Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2012. str. 556-562

Podaci o odgovornosti

Dukić, Gordana

engleski

A Decision Model for Bakery Production Using a Monte Carlo Approach

A daily question faced by bakery managers concerns how to determine the optimal quantity of output. Because their products are perishable, this is one of the most important issues for bakeries. Excessive production results in losses due to unsold products, whereas insufficient production carries along opportunity costs. Making correct estimates of demand is therefore one of the major tasks for any bakery manager. In a decision making process on daily output managers can be supported by several methods and models. The decision-making model for bakery production presented in this paper is based on Monte Carlo approach. According to this approach, for each production quantity a large number of iterations of demand for the analyzed bakery product should be simulated. Average profit is then calculated for each production quantity. The decision on the quantity the bakery should produce is finally made on the basis of confidence interval for the expected profit. The presented model can be improved by repeating the procedure in a larger number of sets.

decision model ; manager ; quantity of output ; Monte Carlo approach ; simulation ; confidence interval for the expected profit

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Podaci o prilogu

556-562.

2012.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 6th International Congress “ Flour - Bread '11”

Koceva Komlenić, Daliborka

Osijek: Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku

1848-2562

Podaci o skupu

Nepoznat skup

predavanje

29.02.1904-29.02.2096

Povezanost rada

Ekonomija

Indeksiranost