The MIIS Eprints Archive: No conditions. Results ordered -Date Deposited. 2019-02-20T18:10:07ZEPrintshttp://www.maths-in-industry.org/images/sitelogo.gifhttp://www.maths-in-industry.org/miis/2014-03-05T10:03:39Z2015-05-29T20:15:57Zhttp://www.maths-in-industry.org/miis/id/eprint/640This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6402014-03-05T10:03:39ZSynchronizing inventory and transport within supply chain managementThe problem considers synchronized optimization of inventory and transport, and focuses on producer-distributor relations. Particular attention is paid to developing a mathematical model and an optimization problem that can be used to minimize the overall distribution cost by an appropriate placement of warehouses and cross-docking points. Solutions to this problem are explored using genetic algorithms and ideas from graph/network theory.

Note: there are three separate reports contained within the uploaded .pdf file.T. DankaA. DénesG. MakayK. NahZ. ViziT. AleksićM. DražićS. GrohmannV. IlinM. IvanovićI. JovanovićM. VeličkovićV. BakoevZ. VarbanovV. MonevM. HristovaD. BikovA. Stojanova2014-03-05T01:06:06Z2015-05-29T20:15:51Zhttp://www.maths-in-industry.org/miis/id/eprint/639This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6392014-03-05T01:06:06ZCredit Scorecard for Corporate Clients based on IndustriesA mathematical model for an improved credit scorecard is developed. Ideally, this scorecard will not reject "good" clients nor will it approve a loan to "bad" clients.S. JanicijevicZ. LuzaninS. PereverzyevI. StojkovskaA. Tepavcevic2014-03-05T00:50:29Z2015-05-29T20:15:47Zhttp://www.maths-in-industry.org/miis/id/eprint/638This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6382014-03-05T00:50:29ZOptimization of commodity portfolio managementThe problem we consider is introduced by Uljarice Bačka, LLC. The core business activities of the company are trade of agriculture commodities, warehousing and distribution and crops production. The main traded goods are: corn, wheat, barely, sunflower, soybean, soybean meal and raw material for crops production: fertilizers, plant protection products, seeds and other. Since a large part of company’s activities relays on corn, predicting the price of that good is of the main interest. In order to make a reasonable predictions, models which incorporate the crucial factors influencing the corn prices are needed. Of course, the important issue is which data are available. Within the data that we obtained, a correlation analysis is performed to point out the relevant parameters. We introduce different methods for obtaining the predictions and provide some numerical results.Z. DesnicaN. KrejićN. Krklec JerinkićB. MarkovićM. NedeljkovZ. OvcinM. Pavić-ČolićK. PiwarskaK. Vla Panić2014-03-05T00:38:40Z2015-05-29T20:15:42Zhttp://www.maths-in-industry.org/miis/id/eprint/637This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6372014-03-05T00:38:40ZOptimization of Collateral Value DistributionLoan Loss Provisioning (LLP) is an amount of reserve that banks "put aside" to cover loss in case that loan goes in default, meaning that clients do not repay it. It is a safety buffer for preserving banks liquidity and capital adequacy. On the other hand, the Loan Loss Provisioning is a cost. In the Profit and Lost statement of banks, LLP decreases profit. It is a good tool/mechanism for risk management, but also expensive one, and that is why it is important for banks to optimize it in every possible way.

The aim of optimization is to distribute collateral value to the connected loans, in a way to minimize amount of LLP. It can be done easily on a one loan level, but creating a universal algorithm that is applicable to all loans and all collaterals on the Bank portfolio level, is the goal to be achieved.I. BošnjakN. KrejićM. MilanovićN. NikolićP. PetkovićD. Rakić2014-03-05T00:28:02Z2015-05-29T20:15:37Zhttp://www.maths-in-industry.org/miis/id/eprint/636This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6362014-03-05T00:28:02ZOptimization of ATM filling-in with cashThis report presents an approach for modeling daily cash demand for all ATMs in the Credit Agricole Bank network in Serbia. The approach is based on time series and regression methods for forecasting an optimal amount of money that should be placed daily in the ATMs in order to meet customers’ demands and mimimize costs of the bank. Three different types of costs were considered: cash freezing costs, transportation costs and insurance costs. The performance of the resulting forecasts were compared with results of the application that bank uses for prediciton of the time and the amount of filling-in for each ATM based on historical data.P. BrodaT. LevajkovićM. KresojaM. MarčetaH. MenaM. NikolićT. Stojančević2014-02-26T15:06:46Z2015-05-29T20:15:33Zhttp://www.maths-in-industry.org/miis/id/eprint/635This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6352014-02-26T15:06:46ZImproving defrosting prodecure for a frozen doughThis working group considered defrosting procedure since the quality of final products is mainly determined by it. Our main goal was to find time of defrosting at the room temperature for a group of frozen products depending on their shape, size and a presence of yeast. We modeled dough defrosting procedure using the heat equation and Stefan problem - a moving boundary problem. We carried out numerical simulations using Matlab.J. AleksićD. LučićM. NedeljkovL. NeumannI. VojnovićHelena Zarin