Global ETD Search

141	Organizační struktura a systém řízení kvality ve vybraném podniku ve vazbě na procesy nákupu / The organisation structure and quality management system in selected company in relation to purchase KLÍMA, Vilém January 2011 (has links) This work is focusing on the issues of the organisation structure and the quality management in the area of purchasing in the selected company MOTOR JIKOV Strojírenská a. s. The goal of this work was to analyze the current state and to find opportunities (recommendations) for the improvement in the given area based on the knowledge gained by previous studies of special literature and commonly used methods of prestigious companies.
142	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.
143	<b>An Integrated Physics-Based Multiscale Modeling Framework for Advancing Thermoset Composites Manufacturing Processes</b> Ryan Scott Enos (20449379) 19 December 2024 (has links) <p dir="ltr">The manufacturing of composite materials presents numerous opportunities due to their superior properties, including high strength-to-weight ratios and excellent fatigue resistance, which make them ideal for advanced engineering applications. However, realizing these advantages is challenging due to complexities in manufacturing processes, which can introduce defects, residual stress, and variability. This study aims to address these challenges through the development of integrated, physics-based processing models that are capable of predicting and mitigating manufacturing defects in advanced composites. The research focuses on the integration of these physics-based models with data-driven methods such as statistical analysis, uncertainty quantification, and optimization. A significant emphasis is placed on modeling the thermo-viscoelastic (TVE) behavior of curing composites, which is often simplified in processing simulations due to computational costs, by approximating to elastic responses according to the Cure Hardening Instantaneously Linear Elastic (CHILE) model. Results show that cure-dependent TVE process simulations implemented through Finite Element Analysis (FEA) can be efficiently integrated with optimization algorithms. 570 simulations completed in 109 min on a local desktop computer. Building on these advancements, this work further investigates Automated Fiber Placement (AFP) under the context of Integrated Computational Materials Engineering (ICME), and establishes the groundwork and serves as roadmap for AFP research at Purdue University with a focus on process modeling and integration.</p> Aerospace materials Aerospace structures Composite and hybrid materials Process modeling Manufacturing Composites Thermo-viscoelasticity Multi-scale modeling Multi-physics modeling ICME PSPP Thermoset Automated Fiber Placement AFP Optimization Finite Element Analysis FEA Abaqus User-material UMAT Genetic algorithm Process optimization Liquid composites molding Autoclave RTM VARTM LCM Permeability Infusion STAR-CCM+ CFD PAM-RTM Parametric modeling CVM
144	<b>EXPLORING REGIME MAPPING IN TOROIDAL FLUID BED GRANULATION: TOWARDS OPTIMIZED PROCESS CONTROL</b> Line Koleilat (20376486) 10 December 2024 (has links) <p dir="ltr">Flow patterns in a toroidal-fluidized bed granulator were analyzed using the effects of wall friction on the bed pressure drop. Toroidal flows were generated by directionally inclined jets from a radially-slotted distributor plate. The relatively small open area of the slotted distributor provides significant jet velocities, inducing toroidal flow even at relatively low superficial airflows. In this aspect, the process is of interest to fluidized bed granulation wherein the toroidal flow can assist spray flux without excessive elutriation. The current dissertation explores the effect of toroidal multiphase flow on wall friction and pressure drop. Relevant process parameters include particle size, airflow, temperature, and bed inventory. Particle size growth is especially important in fluidized bed granulation; airflow and temperature parameters must balance with the binder spray enthalpy; and the bed inventory is relevant to capacity and throughput analyses. An empirical process model was developed to guide fluidized bed granulation with a consistent pressure-drop balance across the distributor plate and product bed during the granulation process.</p><p dir="ltr">Fluidized bed granulation integrates several process transformations into a single unit operation. Transformations include powder fluidization, atomization of binder solution and wetting of the fluidized powder, growth and consolidation of granules, drying, and discharge of the fluidized product. The balance of the binder addition and drying rates is used in combination with fluidization (i.e., flow field) parameters to control the process. Balanced control of fluidization can be challenging in the context of micronized powders, prone to elutriation, for example as required in some pharmaceutical formulations. This manuscript explores the effects of thermodynamic and flow field parameters on the size and shape distributions of a challenging pharmaceutical formulation. Pre-wetting the powder mixture prior to fluidization effectively reduces elutriation, stabilizes the fluidization process, and results in narrower granule size distributions. Optimizing blowback pressure can further stabilize the process. These strategies contribute to improved control of fluidized bed granulation, particularly for challenging pharmaceutical formulations, enhancing both product quality and process efficiency.</p><p dir="ltr">A regime map for a challenging pharmaceutical formulation was developed to link operational parameters to granule characteristics, establishing a stable processing space that connects moisture gain with particle size and shape distributions and uniformity. This comprehensive framework supports scale-up and reliable application of fluid bed granulation in pharmaceutical and related industries, contributing to improved process efficiency and product quality. The findings presented here advance the scientific understanding of toroidal fluid bed granulation and offer practical and actionable strategies for controlling this process.</p> Pharmaceutical sciences Powder and particle technology Granular mechanics fluid bed processing wet granulation method Powder processing size and shape distribution powder flow characteristics mass and energy balance analysis process optimization Powder flux pressure drop analysis pre-wetting regime map atomization pressure moisture gain micronization micronized powders process parameters control powder characterization flow fields toroidal flow
145	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
146	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
147	Совершенствование алгоритма обмена данными с ИС маркетплейса на примере торгового предприятия : магистерская диссертация / Improvement of the algorithm of data exchange with IS marketplace on the example of a trading enterprise Карсканов, И. А., Karskanov, I. January 2024 (has links) This thesis is dedicated to the development and optimization of algorithms for automating data exchange between trading enterprises and marketplaces. It proposes new methods of automation aimed at enhancing operational efficiency and accuracy of data processing. The developed solutions were tested in practice, which helped reduce the processing time of requests and increase customer satisfaction. The scientific novelty lies in the integration of modern technologies into data management processes, while the practical significance is in increasing the competitiveness and sales of trading companies through the optimization of information flows. / Диссертация посвящена разработке и усовершенствовании алгоритмов автоматизации обмена данными между торговыми предприятиями и маркетплейсами. В работе предложены новые, доступные методы автоматизации, направленные на улучшение операционной эффективности и точности обработки данных. Разработанные решения апробированы на практике, что позволило сократить время обработки запросов и повысить удовлетворенность клиентов. Научная новизна заключается в интеграции современных технологий в процессы управления данными, а практическая значимость в повышении конкурентоспособности и продаж торговых компаний за счет оптимизации информационных потоков. MASTER'S THESIS DATA EXCHANGE AUTOMATION MARKETPLACES E-COMMERCE OPERATIONAL EFFICIENCY INFORMATION SYSTEMS PROCESS OPTIMIZATION DATA MANAGEMENT TECHNOLOGY INTEGRATION COMPETITIVE ENHANCEMENT CUSTOMER SATISFACTION МАРКЕТПЛЕЙСЫ УПРАВЛЕНИЕ ДАННЫМИ
148	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.
149	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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