Pregled bibliografske jedinice broj: 372029
Computer-Aided Simulation Model of Smoked Meat Inventory with Price Breaks
Computer-Aided Simulation Model of Smoked Meat Inventory with Price Breaks // Proceedings of the 19th Central European Conference on Information and Intelligent Systems (CECIIS 2008) / Aurer, Boris ; Bača, Miroslav ; Rabuzin, Kornelije (ur.).
Varaždin: Conference Proceedings, University of Zagreb - Faculty of Organization and Informatics, 2008. str. 375-380 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 372029 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Computer-Aided Simulation Model of Smoked Meat Inventory with Price Breaks
Autori
Dukić, Darko ; Dukić, Gordana ; 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 : Conference Proceedings, University of Zagreb - Faculty of Organization and Informatics, 2008, 375-380
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
smoked meat inventory model ; order quantity ; computer-aided model ; simulation ; LINGO's modelling language ; computer program
Sažetak
Computer systems provide indispensable support in constructing, solving and implementing simulation models. This paper discusses a smoked meat inventory model with simulated demand. In order to make a more precise estimate of the demand, the proposed model implies the use of the beta distribution. Simulated demand values, generated by means of a computer, represent the inputs in the inventory model with price breaks. This model is characterized by taking into account the possibility of decreasing the purchase price when the ordered quantity is increased. In addition, the management needs to consider the fact that unsold smoked meat products past use-by date directly increase the costs and thus reduce store operation efficiency. In this model, for each simulated demand rate the order quantity is determined which results in minimum overall costs. The optimum order is thought to be the one which has been determined most frequently within the conducted set of simulations. In order to increase the model's use value, the decision-making process based on its use has been shown in a flowchart. Furthermore, the paper proposes an adequate computer program for solving the model, written in LINGO’ s modelling language.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Filozofski fakultet, Osijek
