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Evaluation and Design of Managerial Performance Reporting Using Business Intelligence Tools
Rajský, Marek ; Koch, Miloš (referee) ; Novák, Lukáš (advisor)
This diploma thesis focuses on the design and implementation of a new performance reporting system, which will serve as a key tool for supporting decision-making in the company. The work deals with the identification of management needs and requirements, which will be included in the analysis of the company and then, with their help, the creation of a solution proposal, which includes the creation of specialized dashboards, key performance indicators (KPI) and interactive reports, in order to provide accurate and relevant information for company managers. of this work is a new reporting system that has the potential to improve decision-making and support business performance and competitiveness.
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The Press Line Optimization Design
Tokoš, Juraj ; Bartošek, Vladimír (referee) ; Videcká, Zdeňka (advisor)
This bachelor thesis focuses on analyzing the current state of the press line and proposing its optimization using simulation. The theoretical part is dedicated to production processes and lean manufacturing methods. In the analytical part, the company in question is introduced. This is followed by an analysis of the current state of the production line. The design section describes variants of simulation models of both the current and optimized process forms and evaluates the benefits of the proposed solution.
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The processes of the contract by the company
Koryčánek, Martin ; Milichovský, František (referee) ; Juřica, Pavel (advisor)
This master thesis deals with the processes of the order process in the selected company Alcadrain s.r.o., which operates on the market as a manufacturer of sanitary equipment. The master thesis is divided into three parts, where the first part defines the partial theoretical background within the chosen topic, the second part is devoted to the analysis of the current state of the selected company and last but not least the suggestions for improvement in the problematic segments are completely described.
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Process Optimization in the Company
Hraško, Filip ; Gruševoj, Nikolaj (referee) ; Videcká, Zdeňka (advisor)
The bachelor thesis deals with process improvement at the final assembly workplace of ABB, an electrical engineering company engaged in the production of instrument transformers. The first part of the thesis presents the methods and theoretical foundations that are used in the later parts of the thesis. In the analytical part, the company ABB is first introduced and then the production process is analysed, followed by a detailed analysis of the processes at the final assembly workplace. The design part focuses on the elimination of waste in the final assembly workplace using lean manufacturing and Lean Six Sigma methods. The aim of the proposals is to reduce waste and thus achieve savings.
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Process Optimization in the Company
Sojka, Jozef ; Bartošek, Vladimír (referee) ; Videcká, Zdeňka (advisor)
This thesis addresses the implementation of an e-shop platform for locksmith company XYZ with the aim of optimizing its processes and enhancing its market competitiveness. The current processes are analyzed, technical and functional aspects of the e-shop platform are proposed, and the financial viability of the project is assessed, including the return on investment. The work highlights how the digitalization of processes through an e-shop platform can improve efficiency, customer experience, and overall economic performance.
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IT/IS support of internal processes of the Faculty of Science
PEVNÁ, Daniela
In this thesis, an analysis was conducted to identify faculty business processes that should be supported by IT resources. Three key areas of the Faculty of Science were selected. The first area is the request process for the maintenance department. To support the process, an application was created in the Microsoft Power Platform environment to enter, delegate and manage requests for the maintenance department. The second area is the process of creating the thesis assignment reports. The implementation of the application also created in Power Platform has significantly reduced the time for approval of the assignment report by all involved by making the approval electronic. The application included the assignment form, data imported from the STAG API, a comprehensive approval flow and a script to export the data to PDF. The proposed solution for the central document sharing repository area was only partially implemented because, even after several modifications to the proposed solution, a match could not be found with the Microsoft 365 administrator within the university, from whom interaction was required. The optimization in the maintenance department resulted in easing the administrative burden on the maintenance members, improving the maintenance members' overview of the repairs performed and tasks reassigned. It has also brought better information on the progress of repairs for the repair contractors. The digitisation of the assignment logs is now in Beta testing due to several changes to the assignment and no conclusions can be drawn regarding efficiency gains.
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Optimizing the Delivery Process at the E-shop Branch
Illek, Adam ; Juřica, Pavel (referee) ; Videcká, Zdeňka (advisor)
The subject of the thesis is to find a way to optimize the checkout process at a branch of an online store. By means of process analysis, graphic design of the branch and warehouse layout and analysis of primary and secondary data, a proposal was developed after their subsequent evaluation, which should streamline the checkout process and thus reduce the values of the monitored process metrics.
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Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries
Teng, Sin Yong ; Professor, Ponnambalam Sivalinga Govindarajan, (referee) ; Pavlas, Martin (referee) ; Máša, Vítězslav (advisor)
S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a provozní heuristiky. Tyto přístupy slouží jako základ pro zlepšování procesů. Avšak, jejich výkon lze dále zlepšit pomocí moderní výpočtové inteligence. Účelem této práce je tudíž aplikace pokročilých technik umělé inteligence a strojového učení za účelem zlepšování procesů v energeticky náročných průmyslových procesech. V této práci je využit přístup, který řeší tento problém simulací průmyslových systémů a přispívá následujícím: (i)Aplikace techniky strojového učení, která zahrnuje jednorázové učení a neuro-evoluci pro modelování a optimalizaci jednotlivých jednotek na základě dat. (ii) Aplikace redukce dimenze (např. Analýza hlavních komponent, autoendkodér) pro vícekriteriální optimalizaci procesu s více jednotkami. (iii) Návrh nového nástroje pro analýzu problematických částí systému za účelem jejich odstranění (bottleneck tree analysis – BOTA). Bylo také navrženo rozšíření nástroje, které umožňuje řešit vícerozměrné problémy pomocí přístupu založeného na datech. (iv) Prokázání účinnosti simulací Monte-Carlo, neuronové sítě a rozhodovacích stromů pro rozhodování při integraci nové technologie procesu do stávajících procesů. (v) Porovnání techniky HTM (Hierarchical Temporal Memory) a duální optimalizace s několika prediktivními nástroji pro podporu managementu provozu v reálném čase. (vi) Implementace umělé neuronové sítě v rámci rozhraní pro konvenční procesní graf (P-graf). (vii) Zdůraznění budoucnosti umělé inteligence a procesního inženýrství v biosystémech prostřednictvím komerčně založeného paradigmatu multi-omics.
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