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Gesamtkatalog

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

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Operations Research (R0)

Indrajit Mukherjee

Raghu Nandan Sengupta

Bhaskar Basu

Jitendra Kumar Jha

Decision Sciences for Quality and Productivity Improvement

Towards Operational and Business Excellence

&lt;p class="MsoBodyText2" style="text-align: justify;"&gt;&lt;span style="font-size: 11.0pt; mso-ansi-language: EN-US; font-weight: normal;"&gt;Quality Management.- Chapter 1&lt;/span&gt;&lt;span style="font-size: 11.0pt; font-weight: normal; mso-bidi-font-weight: bold;"&gt; &lt;span lang="EN-GB"&gt;Conversational Chatbot for Enhancing Healthcare Services.- Chapter 2 Current and future trends in healthcare quality control and improvement.- Chapter 3 The adaptation of Industry 4.0 for Total Quality Management (TQM): Empirical observations from the banking service sector.- Chapter 4 Integrating decision science and fuzzy logic to evaluate and improve water quality: A pathway to operational excellence in environmental management.- Chapter 5 &lt;/span&gt;&lt;/span&gt;&lt;span lang="EN-AU" style="font-size: 11.0pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-AU; mso-fareast-language: EN-US; font-weight: normal; mso-bidi-font-weight: bold;"&gt;A Solution Framework to Address Model Parameter Uncertainties in ANN-based Response Surface Models for Multivariate Process Quality Control&lt;/span&gt;&lt;span lang="EN-GB" style="font-size: 11.0pt; font-weight: normal; mso-bidi-font-weight: bold;"&gt;.&lt;/span&gt;&lt;/p&gt;

Management for Professionals

This book studies military logistics focusing on the operational level of war. It covers the theoretical foundations of operational logistics (OpLog) and describes its applications. The text is divided into two parts: qualitative (“art”) and quantitative (“science”). The qualitative aspects of OpLog, which are contained in the first part of the book, include general principles, imperatives, and tenets that apply to regular and irregular military operations. The second part of the book is more formal and focuses on a network model that represents the structural and operational features of an OpLog system. This updated third edition also addresses the important topic of battlefield maintenance and includes new chapters covering contested logistics, and the effect of advanced information technologies, such as cyber operations, AI, and IoT, on OpLog.

This book studies military logistics focusing on the operational level of war. It covers the theoretical foundations of operational logistics (OpLog) and describes its applications. The text is divided into two parts: qualitative (“art”) and quantitative (“science”). The qualitative aspects of OpLog, which are contained in the first part of the book, include general principles, imperatives, and tenets that apply to regular and irregular military operations. The second part of the book is more formal and focuses on a network model that represents the structural and operational features of an OpLog system. This updated third edition also addresses the important topic of battlefield maintenance and includes new chapters covering contested logistics, and the effect of advanced information technologies, such as cyber operations, AI, and IoT, on OpLog.&nbsp;

The Art and Science of Sustaining Military Operations

Operational Logistics

Masterarbeit aus dem Jahr 2021 im Fachbereich BWL - Sonstiges, Note: 1.0, Fachhochschule Koblenz - Standort RheinAhrCampus Remagen, Sprache: Deutsch, Abstract: Die Bekämpfung der Geldwäsche stellt die Kreditinstitute vor große Herausforderungen. Kreditinstitute können derzeit neben den "klassischen" Verfahren wie der Implementierung von "unflexiblen" IT-basierten AML-Lösungen (Anti-Money-Laundering) nur mit immer größeren Personalressourcen auf die Herausforderungen reagieren. Das Forschungsziel der vorliegenden Arbeit ist es, zu untersuchen, ob der Einsatz der künstlichen Intelligenz (Artificial Intelligence) bei der Bekämpfung der Geldwäsche wirkungsvoll unterstützen kann. Dazu wird die folgende Forschungsfrage gestellt: "Inwieweit können Kreditinstitute durch den Einsatz von KI-Technologien auffällige Muster und Hinweise auf Geldwäsche effizienter als mit bestehenden IT-Systemen entdecken?" Um die Forschungsfrage zu beantworten, wird eine qualitative Forschungsmethode gewählt. Dabei wird die vorhandene akademische Literatur zum Einsatz künstlicher Intelligenz bei der Bekämpfung der Geldwäsche untersucht und werden qualitative Interviews mit Branchenexperten als Instrument zur Datenerhebung mit Branchenexperten durchgeführt. Als Resultat zeigt sich, dass die Lücke zwischen den aktuellen AML-Methoden und der hochmodernen künstlichen Intelligenz (KI) geschlossen werden kann. Durch die neuen Trends und Richtungen in der KI-Technologie ist es möglich, skalierbare AML-Lösungen zu entwickeln.

Qualitative Analyse und Betrachtung

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

How deep learning from Google Translate to driverless cars to personal cognitive assistants is changing our lives and transforming every sector of the economy.

The Deep Learning Revolution

Edition Politik

Is shrimp becoming Ecuador's new oil&nbsp;– and at what cost? Valerie Lenikus uncovers the political-economic drivers and the socio-ecological implications of extractivism: how export-led aquaculture has razed mangroves, displaced coastal livelihoods, and sharpened struggles over land and natural resources. Based on the Latin American debate on extractivism, historical conditions and inequalities, and the controversial constitution of 2008, the complex power relations on different spatial levels are depicted, linking the central role of the state and its policies with concrete struggles of communities.

Conflicts and Power Relations in Ecuador's Shrimp Sector

Tides of Extraction

A NEW SCIENTIST BEST NEW SCIENCE BOOK MAY 2026 'This view from the other side of the search box is both charming and insightful, tapping into a deep well of curiosity.' Tim Harford, author of How to Make the World Add Up Ever wondered what goes through other people's minds - our silly questions, inner anxieties, hopes and dreams? In this hopeful and insightful book, Google Data Editor Simon Rogers explores insights from the world's biggest dataset: an epic snapshot, two decades long and counting, of our collective brain. What it reveals about us might surprise you.<ul><li>In June the UK sees a spike in searches for 'how to help a bee'</li><li>London is the top place on earth searching for 'tell the time drunk'</li><li>Around the world, it's 2am when parents want to know how to get their baby to sleep</li><li>Searches for 'how to help' are at an all-time high</li></ul> Brimming with insights that vary from the playful to the profound, What We Ask Google delves into the momentous and the mundane secrets of what we ask when we get the chance to ask anything, offering a surprisingly hopeful picture of humankind. 'In a time when the news is so relentlessly gloomy, this book provides a ray of hope.' Daily Mail 'Deserves a place on any bathroom bookshelf' Guardian

A surprisingly hopeful picture of humankind

What We Ask Google

An authoritative textbook based on the legendary economics course taught at the University of Chicago—now fully updated and expanded Price theory is a powerful analytical tool kit for measuring, explaining, and predicting market outcomes. This expanded second edition of Chicago Price Theory offers a unique approach to the subject, emphasizing hands-on, practical applications that can help students adeptly integrate economic theory with real-world forces. A key distinction is its focus on market equilibrium and gains from trade. Unlike many microeconomics texts, this book emphasizes how, through markets, households and businesses adapt to conditions like price controls and externalities. It modernizes the Marshallian idea of forward-falling supply, especially for analyzing human capital, and makes use of the cost function and Hicks-Marshall laws to analyze a variety of economic phenomena. Rooted in Chicago’s price theory tradition, this textbook enables students to understand human behavior through the lens of price theory, showing how a small set of well-mastered tools makes it possible to analyze a remarkably wide range of economic questions. <ul><li>Now includes a full chapter closely integrating economic reasoning with the treatment-control paradigm</li><li>Covers topics such as occupational choice, the evolution of inequality, the value of a statistical life, prohibition, and competition</li><li>Uses the economics of “nudges” to understand business contracts and the organization of civil society</li><li>Features analysis of business-to-business transactions</li><li>Discusses the future implications of artificial intelligence</li><li>Comes with lesson plans for minicourses in industrial organization, health economics, macroeconomics, labor, public finance, and urban economics</li><li>Accompanied by video lectures taught by Kevin M. Murphy, Gary Becker, Casey B. Mulligan, and Robert Minton</li></ul>

Chicago Price Theory, Second Edition

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Kritische Landforschung. Umkämpfte Ressourcen, Transformationen des Ländlichen und politische Alternativen

Kleine Kommunen in ländlichen Räumen leiden zunehmend unter klammen Kassen. Die Beiträger*innen versammeln Perspektiven aus der Geographie, Finanz- und Politikwissenschaft, Soziologie sowie Sozialer Arbeit und fragen, was die Ursachen und Folgen der Austeritätspolitik sind und welche Visionen es für eine Verbesserung gibt. Dabei kommen neben Wissenschaftler*innen auch Praktiker*innen, etwa aus dem kommunalen Spitzenverband und dem Sachverständigenrat für Wirtschaft der Bundesregierung, zu Wort. Sie argumentieren, dass auskömmliche Kommunalfinanzen zentral sind - nicht nur für eine gut ausgestattete öffentliche Daseinsvorsorge, sondern auch gegen die aktuelle rechte Landnahme.

Ursachen und Folgen von Austeritätspolitik in Kommunen

Krisen ländlicher Räume

Why the consequences of a prolonged period of weaker economic growth will be more profound than anyone dares to predictIn the heady progress of the post-war era, our lifestyles changed, our political systems adapted, and rapid economic growth became the model of every developed economy. But this prevailing consensus is falling apart around us. Growth is now, at best, no more than anaemic. Policymakers dream about an AI revolution and tweak their fiscal rules to accommodate a newly-austere economic reality but, all the while, government debt soars, financial markets become increasingly jittery, and voters lose trust in their politicians.Celebrated economist Stephen D. King asks how our politics will adapt to such persistently low growth. While leaders make fiscal promises based on a future that is unlikely to materialise, nationalism thrives, battlelines are drawn between perceived winners and losers, and the rules-based international order crumbles. The absence of growth triggers invidious political wrangling over tax, welfare, defence and infrastructure, intensifies competition for resources, and leads to social instability.King shows how our new world is governed by them-and-us divisions over limited economic spoils. This is the political economy of plunder.&nbsp;

Winners and Losers in the Low Growth Era

The Age of Plunder

SpringerBriefs in Operations Management

This book outlines a practical framework for implementing a resilient circular economy principle across ten major industries in a developed country. It focuses on integrating circular thinking into supply chain management and applying digital transformation, blockchain technologies, and Industry 4.0 and 5.0 tools to improve sustainability and productivity.The book introduces a three-platform model that categorizes supply chain elements, aligns technologies with organizational goals, and supports lean and agile manufacturing practices. It also incorporates quantum economics to address uncertainty in economic modeling—an emerging approach that enhances the reliability of circular economy strategies.Expert evaluations are used to score performance matrices across industries, helping prioritize technologies and assess their impact. The book also applies quality engineering methods such as quality function deployment and value engineering to guide decision-making.Readers will gain a clear understanding of how circular supply chain components contribute to a resilient circular economy goal, how emerging technologies support these efforts, and how uncertainty modeling can improve real-world applications. This book would be a useful read for researchers, policymakers, and industry professionals seeking structured methods to support a large-scale resilient circular economy initiative.

Achieving a Resilient Circular Economy Through Emerging Technologies and Uncertainty Calculation

HBR's 10 Must Reads

How to stay ahead in a world transformed by AI.If you read nothing else on artificial intelligence, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change.This book will inspire you to: <ul><li>Help your people and technology work better together</li><li>Redesign roles, workflows, and capabilities</li><li>Keep your AI projects on track</li><li>Address gen AI's quality control and waste problems</li><li>Harness the potential of agentic AI</li><li>Embed AI in the core of your business</li></ul>This collection of articles includes "For Success with AI, Bring Everyone on Board," by David De Cremer; "Bring Human Values to AI," by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen; "From Prediction to Transformation," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "How AI Can Help Managers Think Through Problems," by Elisa Farri and Gabriele Rosani; "The Gen AI Playbook for Organizations," by Bharat N. Anand and Andy Wu; "Agentic AI Is Already Changing the Workforce," by Jen Stave, Ryan Kurt, and John Winsor; "Keep Your AI Projects on Track," by Iavor Bojinov; "How to Marry Process Management and AI," by Thomas H. Davenport and Thomas C. Redman; "The Hidden Penalty of Using AI at Work," by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou; "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman; "AI Is Changing the Structure of Consulting Firms," by David S. Duncan, Tyler Anderson, and Jeffrey Saviano; "Stop Running So Many AI Pilots," by Goutam Challagalla, Mahwesh Khan, and Fabrice Beaulieu; "Addressing Gen AI's Quality-Control Problem," by Stefan Thomke, Philipp Eisenhauer, and Puneet Sahni; "AI's Growing Waste Problem--and How to Solve It," by Samsurin Welch, Khaled Soufani, and Eva Morales; and "Don't Let an AI Failure Harm Your Brand," by Julian De Freitas.HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

HBR's 10 Must Reads on Artificial Intelligence

'Engaging, insightful, panoramic' Mustafa Suleyman, CEO of Microsoft AI &amp; Cofounder of DeepMind 'An eye-opening exploration of a revolution unfolding before our eyes' New York Journal of Books Stunning advances in digital technology have introduced a new wave of human-like AI systems. Chatbots like ChatGPT, Claude, and Gemini are already reshaping economies, challenge democracies, and reshaping society in unpredictable ways. And soon, these AI systems could make autonomous decisions on their users' behalf, transforming everything we do. Understanding how they work is crucial. Can AI systems think, know, and understand?Could they manipulate or deceive you, and if so, what might they make you do? Whose interests do they represent? When will they be able to move beyond words and take action in the real world? Neuroscientist and AI researcher Christopher Summerfield explores these questions, charting AI's evolution from early ideas in the seventeenth century to today's deep neural networks. His book is the most accessible, up-to-date, and authoritative exploration of this radical technology. With an understanding of AI's inner workings, we can address the existential question of our age: can we look forward to a technological utopia, or are we writing ourselves out of history? 'As a leading authority...Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like - and unlike - ourselves' Brian Christian, co-author of Algorithms to Live by 'You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris's book before you decide' Mike Woolridge, author of The Road to Conscious Machines

How AI Learned to Talk and What It Means

These Strange New Minds

Decision Sciences for Quality and Productivity Improvement

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