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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Multicriteria and robust extension of news-boy problem
 Šedina, Jaroslav ; Kopa, Miloš (advisor) ; Kaňková, Vlasta (referee)
This thesis studies a classic single-period stochastic optimization problem called the newsvendor problem. A news-boy must decide how many items to order un- der the random demand. The simple model is extended in the following ways: endogenous demand in the additive and multiplicative manner, objective func- tion composed of the expected value and Conditional Value at Risk (CVaR) of profit, multicriteria objective with price-dependent demand, multiproduct exten- sion under dependent and independent demands, distributional robustness. In most cases, the optimal solution is provided. The thesis concludes with the nu- merical study that compares results of two models after applying the Sample Average Approximation (SAA) method. This study is conducted on the real data. 1
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Market of newsboys
 Bureček, Tomáš ; Lachout, Petr (advisor) ; Kopa, Miloš (referee)
This thesis solves the task of a newspaper vendor, which fits into the classical tasks of stochastic programming. The work includes an extension to the market of newsboys and also considers various influences that vendors may suffer. A continuous version of the problem is considered. The task is to find the optimal amount of product the buyer can buy to maximize his yield. The thesis discusses the issue of solving this problem. First, the problem is demonstrated in a easier version, and later this problem is developed. Finally, we find an iterative algorithm that calculates the approximate solution and demonstrates its functionality on an example. 1
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