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Gesamtkatalog

Catalogue complet

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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Computer Science (R0)

Bassem Jarboui

Said Toumi

Patrick Siarry

Data-Driven Waste Revolution

&lt;p&gt;Chapter 1 A Decision-making approaches for deconstruction operations&amp;nbsp;optimization: a literature review.- Chapter 2 A Novel Optimization Model for Sustainable Life Cycle Design:&amp;nbsp;Circular Economy Case Study in the Automotive Industry.- Chapter 3 Exploring Options for Designing an Optimal Circular Spent Coffee&amp;nbsp;Grounds Reverse Logistics Network: An Optimization-based&amp;nbsp;Approach.- Chapter 4 Optimizing Circular Economy: Simulation and optimisation in&amp;nbsp;stochastic inventory control of perishable dairy products.- Chapter 5 Sustainability with 4R principle on multi-objective waste&amp;nbsp;management under Fermatean fuzzy environment.- Chapter 6 Optimizing the MunicipalWaste Management to Support Circular&amp;nbsp;Economy Program at Regency Level in Indonesia: Case Study in&amp;nbsp;Banyumas Regency.- Chapter 7 The price and attitude to recycling: manufacturers and consumers&amp;nbsp;points of view.- Chapter 8 Transition Pathway from Linear to Circular Economy in Waste&amp;nbsp;Management in Indonesia: A study of two cities.- Chapter 9 Multicriteria Sustainability Index (MSI) in the Chico Mendes&amp;nbsp;Extractive Reserve, in the state of Acre, Brazil.- Chapter 10 Plastics recycling dilemma: A value chain perspective on integrating&amp;nbsp;mechanical and chemical recycling for closing the plastic loop.- Chapter 11 BCpbP - Blue Circular PostBranding Project, a local Portuguese&lt;br&gt;case study for a Blue Circular Economy.&lt;/p&gt;

Theoretical and Applied Mathematics in Supply Chain Management

How optimizing your supply chain can save you millions

The Leaky Pipe

Waste Management in the Circular Economy Context explores sustainable waste management within the context of a circular economy through a comprehensive exploration of policies, innovative technologies, and case studies aimed at fostering a greener future. This practical reference book dissects the critical interplay between energy waste management and economic considerations, offering invaluable insights into circular economy frameworks, waste management challenges, regulatory policies, circular business models, consumer behavior transformations, and the design and development of waste heat recovery technologies. Starting with an in-depth examination of energy waste management in the circular economy context, the book takes readers through key chapters discussing waste management challenges, policy frameworks, circular business models, consumer behavior shifts, and the development of waste heat recovery technologies. Further, it digs into practical applications contexts such as municipal waste management, e-waste management, wastewater management, and integrated waste management, culminating in a forward-looking conclusion and future outlook on sustainable waste practices. Waste Management in the Circular Economy Context offers interdisciplinary perspectives on circular solutions, equips and educates diverse readers with knowledge and tools needed to integrate the complexities of waste management in a sustainable manner. With a focus on promoting responsible consumption and harnessing innovative technologies like heat pipe heat exchangers, this book serves as a valuable resource for consultants, policymakers, and organizations striving to advance circular economy principles in waste management practices.

Waste Management in the Circular Economy Context

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions. A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering. 
In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.


You Will Learn:

The foundational concepts of data engineering and practical experience in solving real-world data engineering problems

How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino

10 hands-on data engineering projects

Troubleshoot common challenges in data engineering projects





Who is this book for: Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Practical Data Engineering with Apache Projects

Essentials

Die Globalisierung der Märkte ist ein ausschlaggebender Faktor für die hohe Bedeutung der Luftfracht in den Logistikstrategien international tätiger Unternehmen. Vor allem bei der Fertigstellung von Endprodukten sind oft große Distanzen zu überbrücken, bei denen unterschiedliche Anforderungen an die eingesetzten Transportmittel bestehen.
Das essential beschreibt die rapide zunehmenden Transportmengen von Air Cargo und damit die steigende Bedeutung der Luftfracht für die Expansion der Weltwirtschaft mit Asien als Zentrum der Konsumgüterproduktion. Anschaulich beschrieben werden die Themen General Cargo, Expressfracht, Fast Moving Consumer Goods und Perishables sowie die Rolle der Airports beim Umschlag von Air Cargo, u.a. auch während der Covid-Krise.
&nbsp;

Luftfracht in globalen Netzwerken

International Series in Operations Research & Management Science

This book serves as a concise and reader-friendly, yet rigorous and thought-provoking introduction to the field of statistical inference. As opposed to classical books on mathematical statistics, where there is a strong emphasis on proofs, this book focuses on developing statistical thinking, intuitive understandings of the subject, and specific applications of statistical inference in data science. As a corollary, though also covered, proofs will not be of paramount importance in the book. Their main role will be to provide the intuition and rationale behind the corresponding methods. The focus is on methods of statistical inference and their scope and limitations for real-world applications. On the other hand, statistical inference is not simply a toolbox that contains ready-made answers to all data-related questions. Almost always, as in solving engineering problems, statistical inference and analysis of new data require adjustment of existing tools or even developing completely new methods. To enable readers to modify existing methods and develop new ones, the book not only explains how the standard methods work, but also why, when, and under what assumptions. All chapters include end-of-chapter problems, with solutions provided at the end of the book. 
One of the goals of the book is to serve as an introductory text on statistical inference that can be used for teaching a semester-long course. The book is suitable for future and junior data scientists, data analysts, and industry researchers, as well as graduate and upper undergraduate students in computing and mathematical sciences, and master's and Ph.D. students in non-mathematical sciences and engineering. While familiarity with probability is assumed, readers need no prior knowledge of statistics.

Foundations of Data Analysis

Fundamentals of Statistical Inference

Springer Climate

This book explores the impact of our consumption habits on the planet and how global crises can transform them. Connecting climate policy, sustainable development, and consumer behavior, it offers a clear framework for understanding responsible consumption. Additionally, the book examines EU climate targets, circular economy principles, and the role of digital commerce in shaping environmental outcomes. 
&nbsp;
Through an analysis of five major global crises ranging from the 1973 oil shock to the current climate emergency, the book illustrates how recent disruptions, such as the pandemic and the Russo-Ukrainian War, can prompt more conscientious choices while revealing the obstacles to lasting change. With real-world case studies and evidence-based policy insights, the book provides researchers, policymakers, and individuals interested in climate action with theoretical insights and practical tools.

From Crisis to Conscious Consumer Choices

Climate Change and Responsible Consumption

SIDREA Series in Accounting and Business Administration

This book explores how sustainability and accountability are reshaping the way companies assess and manage performance across global supply chains. Faced with growing stakeholder and regulatory pressure, organizations are called to integrate non-financial metrics into strategic decision-making and to report transparently on their social and environmental impacts.
Grounded in a systematic literature review, the volume offers a comprehensive analysis of the intersection between sustainability, accountability, and supply chain management. It develops a conceptual framework for understanding how corporate performance evaluation can evolve to include broader dimensions of responsibility, aligning with emerging standards and institutional expectations.
Aimed at scholars, practitioners, and policy-makers, this work provides both an overview of current debates and a structured research agenda for future inquiry. It stands as a timely contribution to advancing sustainable and accountable business practices in an increasingly interconnected economy.

Research Avenues on the Interplay Between Regulations, Standards and Emerging Practices

Sustainability and Accountability of Supply Chains

This book serves as a comprehensive resource, offering valuable insights into the application of Digital Twins in supply chain management. It covers foundational concepts of supply chain optimization and delves into the technological frameworks that enable the integration of Digital Twins. Contributions from leading academics, industry experts, and researchers provide a multi-dimensional perspective on this transformative approach. Real-world case studies are included to showcase the practical benefits and challenges of implementing Digital Twins in various segments of modern supply chains, from manufacturing and distribution to inventory management. A set of practical guidelines and best practices for implementing Digital Twins in supply chain management round out the content. 
The book offers a roadmap for organizations looking to adopt this technology for enhanced operational efficiency. To deepen the reader’s understanding, it also features specialized sections on data security and ethical considerations when implementing Digital Twins in supply chains. By covering these aspects, it offers the "go-to" resource for a wide range of professionals including supply chain managers, data scientists, and IT specialists, as well as academics, researchers and students in related fields, who are looking to understand or implement Digital Twins in the context of supply chain optimization.

Navigating the Modern Landscape

Optimizing Supply Chains Through Digital Twins

Copernicus Books

This book offers an updated version of Garbology (Archaeology of Garbage), a subfield of archaeology that critically examines modern waste and consumerism. It weaves academic rigor with the author’s personal narratives and experiences in the field. The work contains facts and evidence from multiple communities and considers the author’s journey from being a politically marginalized professor in Iran to co-founding a garbology-centered startup in Sweden.
This perspective offers a compelling narrative, accessible not just to scholars but to anyone seeking a new way to explore and discuss modern civilization's wicked problems. What distinguishes this work is its practical approach: it not only critiques consumer behaviors but also offers actionable solutions through an archaeological lens. With detailed case studies, the author positions garbology as a transformative tool for grassroots activism and social change. Ultimately, A New Garbology Manifesto serves as a powerful call to action, highlighting the deep connections between waste, socio-economic inequality, and environmental justice. It equips scholars, policymakers, and NGOs with practical strategies to tackle hyperconsumerism and climate challenges across both the Global South and North.

A New Garbology Manifesto

Identify 7 Costly Errors & Build 3 step Profit Engine

Burning Cash in the Warehouse

Intelligent Data-Driven Systems and Artificial Intelligence

This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation operators and their role in data fusion, risk analysis, and expert opinion aggregation.<ul> <li>New aggregation operators, entropy measures, t-norm, and t-conorm structures are developed across multiple fuzzy set extensions to better model uncertainty and hesitation in decision-making.</li> <li>A wide range of real-world applications, including, tourism planning, smart cities, urban mobility, water security, smart campus automation, energy facility siting, and firefighting helicopter selection, are addressed using advanced multi-criteria decision making methods.</li> <li>The chapters collectively emphasize sustainable, data-driven, and uncertainty-aware decision support, contributing solutions in areas such as environmental protection, resource optimization, public services, and technological infrastructure.</li> <li>Innovative techniques, such as Lambert W-based aggregation operators, Choquet integral-based entropy, confidence-level aggregation, and fuzzy-machine learning hybrid models, improve the representation of interaction, ambiguity, and complexity in multi-criteria decision problems.</li> </ul>The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including mathematics, industrial engineering, supply chain management, operations research, manufacturing engineering, production engineering, and applied mathematics.

Aggregation in Decision-Aided Intelligent Systems

Fuzzy Sets and Triangular Norms

Data-Driven Waste Revolution

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