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Adaptive order creation in an engineering company
Kučerová, Veronika ; Knoflíček, Radek (referee) ; Marek, Jiří (advisor)
The diploma thesis deals with the influences on business planning, to which companies adapt in effort to succeed in a dynamic production and market environment. The influencing effect causing changes in the production company and the ability to react flexibly can eliminate possible losses or outages in production. However, adaptation leads to significant interventions throughout the company's value chain. The theoretical part presents the possibilities of business planning, which can have a significantly useful impact on management of the order across the pre-production and production stages. In the practical part, simulation models are demonstrated proofing nagative influencing effects. Then the methodology is compiled, witch leads the future user, how to limit or eliminate both internal and external disturbing effects.
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Business planning in the AI era: a study of ChatGPT's capabilities and limitations
Fiala, Martin
Business planning plays an important role in ensuring the success and growth of a company. Artificial intelligence (AI) systems have the potential to revolutionize business planning, offering benefits such as enhanced decision-making, reliable insights, and improved collaboration between AI and human expertise. This study aims to explore the potential of ChatGPT in business planning and shed light on its strengths and weaknesses, ultimately helping organizations make informed decisions about incorporating AI into their planning processes. The primary objective of this thesis is to investigate the capabilities and limitations of ChatGPT, in the context of business planning of food truck business in Czech Republic, using a single-case study approach. The findings from the literature review and case study are synthesized to provide a comprehensive understanding of the topic. The results from the qualitative and quantitative analyses are used to assess the effectiveness of ChatGPT in executing various tasks related to the business planning scenario. In addition, recommendations for future research and practical applications of ChatGPT are provided. The implications of AI advancements for businesses and practitioners are both promising and challenging. By improving interpretability and explainability, addressing data quality issues, fostering collaboration between artificial intelligence and human experts, and considering ethical implications, we can pave the way for more effective and responsible use of AI systems for business planning.
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Adaptive order creation in an engineering company
Kučerová, Veronika ; Knoflíček, Radek (referee) ; Marek, Jiří (advisor)
The diploma thesis deals with the influences on business planning, to which companies adapt in effort to succeed in a dynamic production and market environment. The influencing effect causing changes in the production company and the ability to react flexibly can eliminate possible losses or outages in production. However, adaptation leads to significant interventions throughout the company's value chain. The theoretical part presents the possibilities of business planning, which can have a significantly useful impact on management of the order across the pre-production and production stages. In the practical part, simulation models are demonstrated proofing nagative influencing effects. Then the methodology is compiled, witch leads the future user, how to limit or eliminate both internal and external disturbing effects.
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Analysis of factors critical to the success of a company
Němeček, Přemysl ; Neumaierová, Inka (advisor) ; Beran, Jiří (referee)
Growing competitiveness in energy sector, uncertainty about economic growth and increasing regulation all lead to diminishing growing potential for a energy company. It is a challenge for business management and business planning to search, create and explore company's potential. Therefore planning process in the studied energy company E.ON is analysed as a management tool for implementation of company strategy. The strategy itself is analysed in order to evaluate mid-term planning in E.ON. The subplans, financial indicators and key performance indicators are evaluated. New system of key performance indicators is designed.
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Planning as a part of CPM concept and its practical implementation
Staněk, Pavel ; Novotný, Ota (advisor) ; Uličník, Zbyněk (referee)
Diploma thesis is focused on enterprise planning. The main part of the thesis is dedicated to the design of the planning model in the SW company, which comes from real condition of big SW company. The first chapter introduces the world of enterprise planning to the reader. There are clarified reasons of current rise of demand in this area of planning and the advantages of its use. The following chapter explains the essential theory related to enterprise planning area. It also mentions other system approaches to enterprise planning. In the end of the chapter there are described main principles of the CPM concept and its relation to enterprise planning. The fourth chapter is aimed at the current state, requirements and the issues of the planning processes in companies. The outcome of this chapter is set of recommendations for company planning process and company plans itself. The next chapter familiarizes the reader with the current market situation of the planning suites. There are described main players on this market (and their products), acquisitions proceeded in last time and awaited evolution in future. The sixth chapter is focused on the real planning project itself. It introduces the used product -- Cognos Planning. It follows with description of the main principles of model building -- the essential terminology, key plan objects on which basis is the model built and the process of the model development. At the end of chapter is the summary of the project and its contribution to company. The end of thesis depicts expected progress in this sphere of planning and evaluates the fulfillment of thesis targets and its contribution to this area.
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