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Distribution management in a large company (warehouse)
MICHALOVÁ, Jana
Distribution management in a large company. This Master´s Thesis examines the company Fruko-Schulz, s. r. o. This company has been making spirits. The goal is to map out the information and material flows toward the warehouse and from the warehouse. Subsequently, to analyze the current state of the company. Based on the information propose measures for improvement. In own work is described in detail and enterprise activities in a company. After ideas are designed to change. These proposals relate to distribution to the end customer through the gastronomical exhibitions and fairs. Other proposals are aimed at end users in the Russian market. Ideas for packaging or new products are designed, but is backed that do not make sense. Company Fruko-Schulz, s. r. o. sas a long tradition and reputation. But that's not enough, the competition is great and it isalso at a high level. The idea to focus on the Russian market is very good and there is great potential.
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The Utilization of Soft Computing in Ordering Cycle Management
Šustrová, Tereza ; Fecenko, Josef (referee) ; Jurová, Marie (referee) ; Marček, Dušan (referee) ; Dostál, Petr (advisor)
This doctoral thesis deals with possibilities of using advanced methods of decision-making - Soft Computing, in company’s ordering cycle management. The main aim of the thesis is to propose an artificial neural network model with an optimal architecture for ordering cycle management within the supply chain management. The proposed model will be employed in an organization involved in retailing to ensure smooth material flow. A design and verification of artificial neural networks model for sales prediction is also part of this doctoral thesis as well as a comparison of results and usability with standard and commonly used statistical methods. Furthermore, the thesis deals with finding a suitable artificial neural network model with architecture capable of solving the lot-size problem according to specified inputs. Methods of statistical data processing, economical modelling and advanced decision-making (Soft Computing) were utilized during the model designing process.
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Development of MBI model in the implementation and management of electronic purchasing systems
Šušič, Luka ; Voříšek, Jiří (advisor) ; Soukupová, Vladimíra (referee)
This thesis covers an area of procurement of companies. It's specifically orientated on supporting the procurement processes by electronic purchasing system. In the first part there are by literature search, identified and analyzed key factors for successful realization of the implementation and management of electronic purchasing system. In the second part there is comparison of the case study in Unipetrol Services s.r.o. and the key factors of the first part, which is resulting in a deduction and generalization of best practices for implementation and management of electronic purchasing systems. The main benefit and also the outcome of this work is an extension of the reference model MBI, based on a facts and practical experience in procurement area.
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