Pregled bibliografske jedinice broj: 355735
Simulation Model of Flour Inventory in Bakery Production
Simulation Model of Flour Inventory in Bakery Production // Abstract Book of the 4th International Congress "Flour-Bread '07" / Ugarčić-Hardi, Žaneta (ur.).
Osijek: Prehrambeno-biotehnološki fakultet Sveučilišta u Zagrebu, 2007. str. 78-78 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 355735 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Simulation Model of Flour Inventory in Bakery Production
Autori
Dukić, Darko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Abstract Book of the 4th International Congress "Flour-Bread '07"
/ Ugarčić-Hardi, Žaneta - Osijek : Prehrambeno-biotehnološki fakultet Sveučilišta u Zagrebu, 2007, 78-78
ISBN
978-953-7005-13-9
Skup
4th International Congress "Flour-Bread '07"
Mjesto i datum
Opatija, Hrvatska, 24.10.2007. - 27.10.2007
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
simulation model ; flour inventory ; computer-generated random numbers ; normal distribution ; optimum order quantity
Sažetak
In order to achieve a smooth production flow in a bakery plant it is necessary to establish and maintain optimal inventory levels of different raw materials. Because of their importance in production, specific way of storage and the size of required storage space, different kinds and types of flour have to be given particular attention. Purchasing excessive quantities of this raw material provides certain security in operations, however, in this way a company's funds are tied up in the inventory ; warehousing costs are increasing, as well as the possibility of spoilage. In contrast, insufficient inventory may cause a production halt and an increase of opportunity costs. A number of models have been developed to overcome such problems and improve decision-making in the area of stock management. This paper presents a flour inventory model with simulated demand, whose values are computer-generated from the normal distribution. The necessary parameters are calculated on the basis of empirical data. In the proposed model, for each simulated demand level an optimum order quantity is determined, as well as the pertinent total inventory costs. The frequency distributions obtained in this way are used to establish appropriate confidence intervals, which are the basis for determining optimal flour inventories.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
