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141	Návrh systému pravidelného monitoringu indexů způsobilosti procesu dodavatelů / The proposal of the system of regular monitoring of the suppliers’ process capability indices Kubica, Ondřej January 2007 (has links) This diploma thesis named “The Proposal of the System of Regular Monitoring of the Suppliers’ Process Capability Indices” is divided into two sections. There is a theory about statistical process control with emphasized process capability analysis in the first section. The content of the second section is starting point, procedure and the outcome of the project I worked on in Robert Bosch Company, České Budějovice. The aim of the project is the improvement of input quality via the evaluation of suppliers based on their outcomes of SPC.
142	Applying Large Language Models in Business Processes : A contribution to Management Innovation / Tillämpning av stora språkmodeller i affärsprocesser : Ett bidrag till Management Innovation Bergman Larsson, Niklas, Talåsen, Jonatan January 2024 (has links) This master thesis explores the transformative potential of Large Language Models (LLMs) in enhancing business processes across various industries, with a specific focus on Management Innovation. As organizations face the pressures of digitalization, LLMs emerge as powerful tools that can revolutionize traditional business workflows through enhanced decision-making, automation of routine tasks, and improved operational efficiency. The research investigates the integration of LLMs within four key business domains: Human Resources, Tender Management, Consultancy, and Compliance. It highlights how LLMs facilitate Management Innovation by enabling new forms of workflow automation, data analysis, and compliance management, thus driving substantial improvements in efficiency and innovation. Employing a mixed-method approach, the study combines an extensive literature review with surveys and interviews with industry professionals to evaluate the impact and practical applications of LLMs. The findings reveal that LLMs not only offer significant operational benefits but also pose challenges related to data security, integration complexities, and privacy concerns. This thesis significantly contributes to the academic and practical understanding of LLMs, proposing a framework for their strategic adoption to foster Management Innovation. It underscores the need for businesses to align LLM integration with both technological capabilities and strategic business objectives, paving the way for a new era of management practices shaped by advanced technologies. / Denna masteruppsats utforskar den transformativa potentialen hos Stora Språkmodeller (LLMs) i att förbättra affärsprocesser över olika industrier, med särskilt fokus på Management Innovation. När organisationer möter digitaliseringens press, framträder LLMs som kraftfulla verktyg som kan revolutionera traditionella affärsarbetsflöden genom förbättrat beslutsfattande, automatisering av rutinuppgifter och förbättrad operationell effektivitet. Forskningen undersöker integrationen av LLMs inom fyra centrala affärsområden: Human Resources, Anbudshantering, Konsultverksamhet och Regelefterlevnad. Den belyser hur LLMs underlättar Management Innovation genom att möjliggöra nya former av arbetsflödesautomatisering, dataanalys och efterlevnadshantering, vilket driver påtagliga förbättringar i effektivitet och innovation. Genom att använda en blandad metodansats kombinerar studien en omfattande litteraturöversikt med enkäter och intervjuer med branschproffs för att utvärdera påverkan och praktiska tillämpningar av LLMs. Resultaten visar att LLMs inte bara erbjuder betydande operationella fördelar utan även medför utmaningar relaterade till datasäkerhet, integrationskomplexitet och integritetsfrågor. Denna uppsats bidrar avsevärt till den akademiska och praktiska förståelsen av LLMs, och föreslår en ram för deras strategiska antagande för att främja Management Innovation. Den understryker behovet för företag att anpassa LLM-integrationen med både teknologiska kapabiliteter och strategiska affärsmål, vilket banar väg för en ny era av ledningspraxis formad av avancerade teknologier. Large Language Models (LLMs) Business Processes Artificial Intelligence Natural Language Processing (NLP) Automation Machine Learning Business Intelligence Data Analytics Process Optimization Digital Transformation Stora språkmodeller (LLM) Affärsprocesser Artificiell intelligens Naturlig språkbehandling (NLP) Automation Maskininlärning Business Intelligence Dataanalys Processoptimering Digital transformation Economics and Business Ekonomi och näringsliv Other Engineering and Technologies Annan teknik
143	Investigation of VR as Visualization and Assembly-Simulation Tool Götherström, Richard January 2024 (has links) Across industries, Computer-aided design (CAD) programs are used to create vehicle parts. Simultaneously, virtual reality (VR) has become more common. Can these two co-existing technologies benefit one another? This thesis investigates how CAD modeling can be enhanced with the help of VR. Specifically, it focuses on importing CAD models during the runtime of a VR application, visualizing those models in real size. An additional feature includes the ability to interact with the imported CAD models, enabling assembly simulations. This thesis specifically explores how parts of electric autonomous trucks can be assembled in VR. The results are moderately satisfying, with users expressing both satisfaction and dissatisfaction with certain aspects of VR as a tool in this context. However, only two users evaluated the application, indicating the need for a more extensive evaluation. / I flera industrier är CAD-program vanliga för att modellera delar till fordon. Samtidigt växer virtual reality (VR) fram och blir allt vanligare. Kan dessa två teknologier samexistera och dra nytta av varandra? Det här arbetet undersöker om CAD-modellering kan dra fördel av VR som ett verktyg för visualisering. En av de mer unika aspekterna av detta arbete är hur import av CAD-modeller under körtid hanteras. En annan funktionalitet som undersöks är möjligheten att interagera med de importerade CAD-modellerna, vilket också öppnar för möjligheter att simulera monteringsprocesser. Resultatet var någorlunda tillfredsställande enligt intressenterna som utvärderade den slutgiltiga VR-applikationen. Det fanns aspekter som inte var helt tillfredsställande samtidigt som det fanns delar som var bra. Det ska beaktas att det endast var två intressenter som utvärderade den slutgiltiga applikationen, vilket indikerar att det behövs mer utvärdering för att fastställa ett gediget resultat. VR Virtual Reality 3D environmnets Computer-Aided Design Systems Computer-Aided Design Prototyping VR Prototyping Virtual Reality Prototyping CAD Visualization Assembly Simulation Runtime Importation Unreal Engine Interaction Simulation Manufacturing Process Optimization Prototype Visualization CAD Model Interaction Assembly Process Simulation CAD Runtime Importation CAD Assembly Simulation CAD VR Visualization Interactive Prototyping VR Technology in Manufacturing Real-Size Model Visualization Computer and Information Sciences Data- och informationsvetenskap
144	Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries / Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries Teng, Sin Yong January 2020 (has links) 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.
145	Development of High-throughput Membrane Filtration Techniques for Biological and Environmental Applications / Development of High-throughput Membrane Filtration Techniques Kazemi, Amir Sadegh 11 1900 (has links) Membrane filtration processes are widely utilized across different industrial sectors for biological and environmental separations. Examples of the former are sterile filtration and protein fractionation via microfiltration (MF) and ultrafiltration (UF) while drinking water treatment, tertiary treatment of wastewater, water reuse and desalination via MF, UF, nanofiltration (NF) and reverse-osmosis (RO) are examples of the latter. A common misconception is that the performance of membrane separation is solely dependent on the membrane pore size, whereas a multitude of parameters including solution conditions, solute concentration, presence of specific ions, hydrodynamic conditions, membrane structure and surface properties can significantly influence the separation performance and the membrane’s fouling propensity. The conventional approach for studying filtration performance is to use a single lab- or pilot-scale module and perform numerous experiments in a sequential manner which is both time-consuming and requires large amounts of material. Alternatively, high-throughput (HT) techniques, defined as the miniaturized version of conventional unit operations which allow for multiple experiments to be run in parallel and require a small amount of sample, can be employed. There is a growing interest in the use of HT techniques to speed up the testing and optimization of membrane-based separations. In this work, different HT screening approaches are developed and utilized for the evaluation and optimization of filtration performance using flat-sheet and hollow-fiber (HF) membranes used in biological and environmental separations. The effects of various process factors were evaluated on the separation of different biomolecules by combining a HT filtration method using flat-sheet UF membranes and design-of-experiments methods. Additionally, a novel HT platform was introduced for multi-modal (constant transmembrane pressure vs. constant flux) testing of flat-sheet membranes used in bio-separations. Furthermore, the first-ever HT modules for parallel testing of HF membranes were developed for rapid fouling tests as well as extended filtration evaluation experiments. The usefulness of the modules was demonstrated by evaluating the filtration performance of different foulants under various operating conditions as well as running surface modification experiments. The techniques described herein can be employed for rapid determination of the optimal combination of conditions that result in the best filtration performance for different membrane separation applications and thus eliminate the need to perform numerous conventional lab-scale tests. Overall, more than 250 filtration tests and 350 hydraulic permeability measurements were performed and analyzed using the HT platforms developed in this thesis. / Thesis / Doctor of Philosophy (PhD) / Membrane filtration is widely used as a key separation process in different industries. For example, microfiltration (MF) and ultrafiltration (UF) are used for sterilization and purification of bio-products. Furthermore, MF, UF and reverse-osmosis (RO) are used for drinking water and wastewater treatment. A common misconception is that membrane filtration is a process solely based on the pore size of the membrane whereas numerous factors can significantly affect the performance. Conventionally, a large number of lab- or full-scale experiments are performed to find the optimum operating conditions for each filtration process. High-throughput (HT) techniques are powerful methods to accelerate the pace of process optimization—they allow for multiple experiments to be run in parallel and require smaller amounts of sample. This thesis focuses on the development of different HT techniques that require a minimal amount of sample for parallel testing and optimization of membrane filtration processes with applications in environmental and biological separations. The introduced techniques can reduce the amount of sample used in each test between 10-50 times and accelerate process development and optimization by running parallel tests. Membrane filtration Ultrafiltration Downstream bio-processing High-throughput (HT) testing Wastewater treatment Hollow-fiber membranes Humic acids High-throughput filtration Design-of-experiments (DOE) Process optimization Microscale filtration Microfluidic flow control system Stirred well filtration SWF High-throughput hollow-fiber module HT-HF Constant TMP Constant flux Multi-modal filtration Bioseparation MMFC MS-PS-CFF PEG Dextran FITC-Dextran BSA DNA IgG α-lactalbumin Biomolecule separation Module hydrodynamics Concentration polarization Membrane fouling Micromixing Omega™ membrane Microscale processing Fouling test PVDF membrane Surface modification Polydopamine Membrane cleaning Membrane backwashing Sodium alginate Polyethersulfone PES Hydraulic permeability Membrane permeability ZeeWeed® membrane Filtration ionic strength Filtration pH Solution conditions Water treatment Environmental separations Biological separations

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