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The Use of Statistical Methods in Inventory Management
Šuľan, Matej ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis is focused on the use of stathistical methods in inventory management in the specific company. The thesis is divided into three main parts. The first part is focused on a summary of essential knowledge of regression analysis, time series and inventory management. This knowledge is applied on the real data of inventory of the company in the second part of the thesis. The third part is focused on the suggestions that will help optimize stock policy of the company.
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Supply Chain optimization in the selected object
Trinh, Hoang Phong ; Mervart, Michal (advisor) ; Kratinová, Alžběta (referee)
For my bachelor thesis, I have chosen the topic of Supply Chain Optimization in the selected object. I will run the project at one branch of the Vietnamese restaurant chain. Firstly, I will outline how logistics processes work in the enterprise and the problems of the business, and then try to improve the existing system. To do this, I will use AnyLogistix to perform the necessary analysis, optimization and simulation.
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The Use of Statistical Methods in Inventory Management
Šuľan, Matej ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis is focused on the use of stathistical methods in inventory management in the specific company. The thesis is divided into three main parts. The first part is focused on a summary of essential knowledge of regression analysis, time series and inventory management. This knowledge is applied on the real data of inventory of the company in the second part of the thesis. The third part is focused on the suggestions that will help optimize stock policy of the company.
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Quantitative analysis of demand forecasting
Urbanec, Matěj ; Jirsák, Petr (advisor) ; Kučera, Jan (referee)
This thesis deals with the prediction demand forecasting in a company, focusing especially on quantitative methods of prediction. The theoretical part presents the predictions of demand, its place and importance in a company. Secondly, it presents various methods of qualitative and quantitative demand forecasting and the methods for measuring prediction accuracy. The practical part applies several methods on a real data of the company. These are the methods of moving averages, exponential smoothing, Holt and Holt-Winters method and the simple linear regression. The accuracy of each method are compared with each other and most accurate method is then used to predict demand for the year 2015.
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The application of Logistics in The Peugeot Czech Republic
Suchá, Alena ; Pernica, Petr (advisor) ; Zelený, Lubomír (referee)
The diploma thesis deals with the increasing of elasticity level in supply chain in automotive industry, especially with the import of new cars Peugeot for Czech customers. It solves discrepancy between production and consumption from point of capacity, sentimental, position and time view. It uses a method for demand forecasting by multiple temporal regression and method Vendor Managed Inventory.
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