The master’s thesis deals with the processing of business plan for the foundation of the shop with healthy nutrition and raw confectioner’s in Šumperk. On the basis of the theoretical knowledge and processed analyzes of external and internal environment of the company is created a particular business plan, including financial and marketing plan.

In today´s high competitor´s environment is necessary to pay increased attention of the process of strategic management for indemnity success of the company. This thesis deals with analysis and application of partial components and methods of process strategic management. By those are first of all - analysis environs, competition and crucial inside factors, which affect in various measure are on entrepreneurial subjekt. On the basis of ascertained informations and evaluation of the contemporary state of company is determined the proposal of possible directions of development of company, with a view to innovation her position in the marketplace and suppression of weak pages of company.

The subject of this thesis is to design a multifunctional building. The building object is located on the southeast outskirts of Brno, in the city of Slatina. The land chosen for the building is situated in the cadastral area of Slatina. The building has five floors without basement. Multifunctional house is suitable for housing and for commercial purposes. The house is projected with 13 apartments, with café – opening hours to 10 PM, healthy food store and drugstore. There are apartments with 1 bedroom, 2 bedrooms and 3 bedrooms. Each apartment is complemented by a balcony and a cellar. The main facade is located on the west side of the property where it is allowed access to the shops and cafe. Entry into the living area is on the eastern side of the property. Perimeter walls of the building will be made of sand-lime bricks KM Beta SENDWIX 5DF-LP. The ceilings are designed as monolithic. The house is covered by a flat single-roof, part of the roof over the 4th floor will be designed as a vegetation roof.

This master's thesis addresses the processing of project documentation for construction of three storey, multifunctional house in Velké Opatovice. The building is designed on flat terrain, it is terrace graded to the east and south and has a warm flat roof. On the first floor there is a pharmacy, travel agency, textile shop and technical facilities of the building. On the second floor there is an office space for advertising and graphics company. The third floor is designed as a large-area apartment for a family of four.

As manufacturing is creating welfare and prosperity, it is important for humankind. Nevertheless, manufacturing is causing the depletion of natural resources, environmental burdens affecting the health of animals, humans and eco-systems, and social conflicts. Thus, it is essential to implement sustainability into manufacturing. Paint shops are however known for being liable for a big part of the large energy consumptions within manufacturing. Therefore, it is necessary to investigate what cost-effective solutions can be implemented in paint shops in order to reduce the energy consumption in a sustainable manner. Hence, the aim of this study was to, from a manufacturing perspective identify possible cost-effective solutions for lowering energy consumption within paint shops. The aim was further divided into two research questions: • RQ1: What are the enablers for energy efficient paint shops? • RQ2: What are the challenges for energy efficient paint shops? The research approach used to answer the aim and research questions were a literature review and a case study. The literature review was performed to get a deeper understanding of the subject and was then complimented with the findings from the case study. The case study was performed at the paint shop of a global automotive manufacturing company in Sweden, which currently have a high energy consumption. The enablers identified were (1) implementation of solar photovoltaic, and an energy storage system, which enables an environmentally friendly way of generating energy on-site and store excess energy for later use. The energy storage system can also be used to save money by utilizing the fluctuating electricity market prices, charging the battery when the energy price is at its lowest. (2) Implementation of an UV-curing system and paint, which is an environmentally harmless method of curing paint. (3) Reducing or disabling the heating, ventilation and air conditioning system of a building when it is not a necessity. (4) Workers commitment and motivation towards sustainability, to ensure everyone’s participation. The challenges identified were (1) the expensiveness of sustainability, allocating and prioritizing it in budgets is challenging for a company since profitability is always a major concern that often overshadows sustainability. (2) The risk of modifying the processes within the paint shop, as the consequences are unexplored. (3) In its current state, the energy consumption of the paint shop is very high, it is hence difficult to provide the whole paint shop with solely solar photovoltaic. (4) An energy storage system requires space and freeing up that space is a challenge without reconstructing existing facilities. (5) With implementation of UV- curing, the paint used must be curable with UV-light. Additionally, complex three-dimensional shapes make it challenging to properly cure evenly with UV-curing. (6) It is not guaranteed whether it is possible to completely shut down heating, ventilation and air conditioning since industrial equipment in general is designed to always run. (7) Sustainability is not a focus and even if it is increasingly requested by society, the commitment of companies is experienced as low. It is challenging to motivate all the employees to work towards sustainability and find ways to always keep sustainability in mind and to prioritize it over other alternatives.

(in English): The main goal of diploma thesis is to describe the internet business specifics with focus of identifying the causes of success or failure of companies on the Internet. At the theoretical level in context of thesis is to characterize the influence of the Internet on business principles and give to the reader a complete picture of its impact on current business. Following the main aim of the theses will need a virtually explore the possibilities which offer 21st century in the integration of modern business tools that allows smoother access to corporate infomation and knowledge and If their effective optimatization is the key to a uccessful business on the internet. The contribution of this thesis is to evaluate the practical challenges for companies which brings continual development of information and communication technologies that can be used for support of decision making in selecting an appropriate combination of business tools.

The subject of the diploma thesis was the elaboration of an architectural study of a new synagogue in Opava, which, with other necessary objects, will create a complex used by the jewish community and its members. The result of the design is a new community center. This has the task of restoring existence and supporting the development of the jewish community, which has not found its way back to Opava since world war II. Three separate objects cover the needs of this community for everyday and spiritual life. This includes education taking place in the library, the seat of the jewish community and its leaders, ritual cleansing areas of the mikveh and the commercial space of the kosher food or products store. It is necessary to have a kosher restaurant providing proper eating. An important part is also the space of cultural activities in the form of artistic or other exhibitions and events. The main area of the complex is a synagogue where prayers, festivities and meetings are held.

The aim of the diploma thesis was to create project documentation the new construction of a multifunctional building in the village of Dýšina. The architecture of the building is determined by the usage purpose. The administrative and residential part is designed as a three-level building and the warehouse part as a single-level one. It is a non-basement construction without a residential attic, a rectangular floor plan with maximum dimension of 63.4 x 26.26 m. The roofing is solved by a gabled roof. The layout and operational solution of the administrative part of the building is primarily focused on the offer of exhibited goods and their sale on the 1st floor. On this floor, there are offices, a shop with exhibited goods, a technical room and sanitary facilities, including toilets for people with reduced mobility. On the 2nd floor, there are commercial and manager offices. There is also a meeting room and a showroom. The residential part on the 3rd floor above the administrative part is divided into 4 residential units. The apartments are accessible from the central corridor. The entrance to the central corridor is secured with an external steel staircase on the north side of the building. The space of the storage hall is not divided to maximize usage of storage area. There is one office (26.95 m2) and storage space (973.65 m2) with a test elevator shaft. The entrance to this part is ensured by three gates and a gate with a ramp for tracks. The storage part is directly connected to the administrative part with a door.

No description available.

Tesis por compendio / [ES] El paradigma de la Industria 4.0 (I4.0) gravita en gran medida sobre el potencial de las tecnologías de la información y la comunicación (TIC) para mejorar la competitividad y sostenibilidad de las industrias. El concepto de Smart Manufacturing Scheduling (SMS) surge y se inspira de ese potencial. SMS, como estrategia de transformación digital, aspira a optimizar los procesos industriales mediante la aplicación de tecnologías como el gemelo digital o digital twin (DT), el modelo de gestión zero-defect manufacturing (ZDM), y el aprendizaje por refuerzo profundo o deep reinforcement learning (DRL), con el propósito final de orientar los procesos de programación de operaciones hacia una automatización adaptativa en tiempo real y una reducción de las perturbaciones en los sistemas de producción. SMS se basa en cuatro principios de diseño del espectro I4.0: automatización, autonomía, capacidad de acción en tiempo real e interoperabilidad. A partir de estos principios clave, SMS combina las capacidades de la tecnología DT para simular, analizar y predecir; la del modelo ZDM para prevenir perturbaciones en los sistemas de planificación y control de la producción; y la del enfoque de modelado DRL para mejorar la toma de decisiones en tiempo real. Este enfoque conjunto orienta los procesos de programación de operaciones hacia una mayor eficiencia y, con ello, hacia un mayor rendimiento y resiliencia del sistema productivo. Esta investigación emprende, en primer lugar, una revisión exhaustiva del estado del arte sobre SMS. Con la revisión efectuada como referencia, la investigación plantea un modelo conceptual de SMS como estrategia de transformación digital en el contexto del proceso de programación del taller de trabajos o job shop. Finalmente, la investigación propone un modelo basado en DRL para abordar la implementación de los elementos clave del modelo conceptual: el DT del taller de trabajos y el agente programador. Los algoritmos que integran este modelo se han programado en Python y han sido validados contra varias de las más conocidas reglas heurísticas de prioridad. El desarrollo del modelo y los algoritmos supone una contribución académica y gerencial en el área de la planificación y control de la producción. / [CA] El paradigma de la Indústria 4.0 (I4.0) gravita en gran mesura sobre el potencial de les tecnologies de la informació i la comunicació (TIC) per millorar la competitivitat i la sostenibilitat de les indústries. El concepte d'smart manufacturing scheduling (SMS) sorgeix i inspira a partir d'aquest potencial. SMS, com a estratègia de transformació digital, aspira a optimitzar els processos industrials mitjançant l'aplicació de tecnologies com el bessó digital o digital twin (DT), el model de gestió zero-defect manufacturing (ZDM), i l'aprenentatge per reforçament profund o deep reinforcement learning (DRL), amb el propòsit final dorientar els processos de programació doperacions cap a una automatització adaptativa en temps real i una reducció de les pertorbacions en els sistemes de producció. SMS es basa en quatre principis de disseny de l'espectre I4.0: automatització, autonomia, capacitat d¿acció en temps real i interoperabilitat. A partir d'aquests principis clau, SMS combina les capacitats de la tecnologia DT per simular, analitzar i predir; la del model ZDM per prevenir pertorbacions en els sistemes de planificació i control de la producció; i la de de l'enfocament de modelatge DRL per millorar la presa de decisions en temps real. Aquest enfocament conjunt orienta els processos de programació d'operacions cap a una eficiència més gran i, amb això, cap a un major rendiment i resiliència del sistema productiu. Aquesta investigació emprèn, en primer lloc, una exhaustiva revisió de l'estat de l'art sobre SMS. Amb la revisió efectuada com a referència, la investigació planteja un model conceptual de SMS com a estratègia de transformació digital en el context del procés de programació del taller de treballs o job shop. Finalment, la investigació proposa un model basat en DRL per abordar la implementació dels elements claus del model conceptual: el DT del taller de treballs i l'agent programador. Els algorismes que integren aquest model s'han programat a Python i han estat validats contra diverses de les més conegudes regles heurístiques de prioritat. El desenvolupament del model i els algorismes suposa una contribució a nivell acadèmic i gerencial a l'àrea de la planificació i control de la producció. / [EN] The Industry 4.0 (I4.0) paradigm relies, to a large extent, on the potential of information and communication technologies (ICT) to improve the competitiveness and sustainability of industries. The smart manufacturing scheduling (SMS) concept arises and draws inspiration from this potential. As a digital transformation strategy, SMS aims to optimise industrial processes through the application of technologies, such as the digital twin (DT), the zero-defect manufacturing (ZDM) management model and deep reinforcement learning (DRL), for the ultimate purpose of guiding operations scheduling processes towards real-time adaptive automation and to reduce disturbances in production systems. SMS is based on four design principles of the I4.0 spectrum: automation, autonomy, real-time capability and interoperability. Based on these key principles, SMS combines the capabilities of the DT technology to simulate, analyse and predict; with the ZDM model, to prevent disturbances in production planning and control systems; by the DRL modelling approach, to improve real-time decision making. This joint approach orients operations scheduling processes towards greater efficiency and, with it, a better performing and more resilient production system. This research firstly undertakes a comprehensive review of the state of the art on SMS. By taking the review as a reference, the research proposes a conceptual model of SMS as a digital transformation strategy in the job shop scheduling process context. Finally, it proposes a DRL-based model to address the implementation of the key elements of the conceptual model: the job shop DT and the scheduling agent. The algorithms that integrate this model have been programmed in Python and validated against several of the most well-known heuristic priority rules. The development of the model and algorithms is an academic and managerial contribution in the production planning and control area. / This thesis was developed with the support of the Research Centre on Production Management and Engineering (CIGIP) of the Universitat Politècnica de València and received funding from: the European Union H2020 programme under grant agreement No. 825631, “Zero Defect Manufacturing Platform (ZDMP)”; the European Union H2020 programme under grant agreement No. 872548, "Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs (DIH4CPS)"; the European Union H2020 programme under grant agreement No. 958205, “Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)”; the European Union Horizon Europe programme under grant agreement No. 101057294, “AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience” (AIDEAS); the Spanish Ministry of Science, Innovation and Universities under grant agreement RTI2018-101344-B-I00, "Optimisation of zero-defects production technologies enabling supply chains 4.0 (CADS4.0)"; the Valencian Regional Government, in turn funded from grant RTI2018- 101344-B-I00 by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, "Industrial Production and Logistics optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065); and the grant PDC2022-133957- I00, “Validation of transferable results of optimisation of zero-defect enabling production technologies for supply chain 4.0” (CADS4.0-II) funded by MCIN/AEI/10.13039/501100011033 and by European Union Next GenerationEU/PRTR. / Serrano Ruiz, JC. (2024). Job shop smart manufacturing scheduling by deep reinforcement learning for Industry 4.0 [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/202871 / Compendio