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Industrial Applications of Machine Learning (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Pedro Larrañaga David Atienza Javier Diaz-Rozo Alberto Ogbechie Concha Bielza Carlos Esteban Puerto-SantanaIndustrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. <P><P>Features <li>Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution <li>Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors <li>Includes four case studies addressing real-world industrial problems solved with machine learning techniques <li>A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving <li>Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka
Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modelling Approach
by Yong Chen Shiyu ZhouDiscover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.
Industrial Deployment of System Engineering Methods
by Martyn Thomas Alexander RomanovskyA formal method is not the main engine of a development process, its contribution is to improve system dependability by motivating formalisation where useful. This book summarizes the results of the DEPLOY research project on engineering methods for dependable systems through the industrial deployment of formal methods in software development. The applications considered were in automotive, aerospace, railway, and enterprise information systems, and microprocessor design. The project introduced a formal method, Event-B, into several industrial organisations and built on the lessons learned to provide an ecosystem of better tools, documentation and support to help others to select and introduce rigorous systems engineering methods. The contributing authors report on these projects and the lessons learned. For the academic and research partners and the tool vendors, the project identified improvements required in the methods and supporting tools, while the industrial partners learned about the value of formal methods in general. A particular feature of the book is the frank assessment of the managerial and organisational challenges, the weaknesses in some current methods and supporting tools, and the ways in which they can be successfully overcome. The book will be of value to academic researchers, systems and software engineers developing critical systems, industrial managers, policymakers, and regulators.
Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization
by Sammy ShinaThis textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE.
Industrial Engineering and Industrial Management: 5th International Conference, IEIM 2024, Nice, France, January 10–12, 2024, Proceedings (Communications in Computer and Information Science #2070)
by Shey-Huei SheuThis CCIS post conference volume constitutes the proceedings of the 5th International Conference, IEIM 2024, in Nice, France, in January 2024. The 18 full papers together with 3 short papers in this volume were carefully reviewed and selected from 71 submissions. The were organized in 5 tracks as follows: five topics of IEIM were classified as follows: “Data Analysis and Demand Calculation in Industrial Production”, “Process Optimization and Intelligence in Green Manufacturing Systems”, “Lean Manufacturing and Process Optimization”, “Enterprise Digital Transformation and Business Management” and “Modern Logistics Information Systems and Distribution Services”.
Industrial Engineering and Operations Management: XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023 (Springer Proceedings in Mathematics & Statistics #431)
by Milton Vieira Junior João Carlos Gonçalves dos Reis Francisco Gaudêncio Mendonça FreiresThis proceedings volume gathers selected, blinded peer-reviewed contributions presented at the XXIX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held in Lisbon, Portugal, from June 28th to 30th, 2023. This volume focuses especially on the applications of Industrial Engineering and Operations Management for research and practice. It includes relevant information for academics since most of the chapters focus on real-world case studies and systematic reviews. It also provides valuable insights for professionals in the industrial sector by presenting solutions to complex industrial challenges. The 2023 iteration of the IJCIEOM conference had the theme "Developing resilience in Industrial Engineering and Operations Management" and aimed to analyze the resilience of supply chains in the post-COVID-19 era. The works published in this volume focus on how Digital Transformation (DX) and Artificial Intelligence (AI) have made the manufacturing and service industry more resistant to VUCA elements (i.e., volatile, uncertain, complex, and ambiguous). Regarding DX and AI, the research specifically focused on supply chain management, project management, and Industry 4.0. Other studies explore how industrial engineering incorporated innovative and technological concepts into service and product operations. Overall, this volume provides a valuable resource for researchers and practitioners alike as it presents numerous relevant contributions in identifying new challenges and opportunities for industrial engineering and operations management. This conference was sponsored by renowned international industry engineering associations, particularly the American Society for Engineering Management (ASEM), the Institute of Industrial & Systems Engineers (IISE), and the Asociación para el Desarrollo de la Ingeniería de Organización (ADINGOR).
Industrial Engineering and Operations Management: XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020 (Springer Proceedings in Mathematics & Statistics #337)
by Antônio Márcio Tavares Thomé Rafael Garcia Barbastefano Luiz Felipe Scavarda João Carlos Gonçalves dos Reis Marlene Paula Castro AmorimThis volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil. The respective chapters address a range of timely topics in industrial engineering, including operations and process management, global operations, managerial economics, data science and stochastic optimization, logistics and supply chain management, quality management, product development, strategy and organizational engineering, knowledge and information management, work and human factors, sustainability, production engineering education, healthcare operations management, disaster management, and more. These topics broadly involve fields like operations, manufacturing, industrial and production engineering, and management. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike.
Industrial Engineering and Operations Management: XXX IJCIEOM, Salvador, Brazil, June 26–28, 2024 (Springer Proceedings in Mathematics & Statistics #483)
by Milton Vieira Junior Rafael Garcia Barbastefano João Carlos Gonçalves dos Reis Francisco Gaudêncio Mendonça Freires Ângelo Márcio Oliveira Sant’AnnaThis proceedings gathers selected, peer-reviewed papers presented at the XXX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held from June 26 to 28, 2024, in Salvador, Brazil. The works in this volume explores critical areas such as Supply Chain risk models, last-mile delivery optimization, stochastic inventory models, and human development focusing on digital training for operations management in emergencies. Tailored to benefit academics, the volume comprises studies predominantly rooted in real-world case studies, systematic, and meta-reviews, offering valuable insights also for professionals within the industrial sector by presenting solutions to intricate industrial challenges.
Industrial Organization: Practice Exercises with Answer Keys (Springer Texts in Business and Economics)
by Pak-Sing Choi Eric Dunaway Felix Muñoz-GarciaRevised and updated for the second edition, this textbook presents over 100 exercises on industrial organization with detailed answer keys. While most textbooks on industrial organization focus on theory and empirical findings, this textbook offers practical examples and exercises helping predict firm behavior in different industries. The book emphasizes the game-theoretic tools used in each type of exercise, so students can systematically apply them to other markets, forms of competition, or information environments where firms, consumers, and regulating agencies interact. The book begins with examples that analyze different models of firm behavior and interaction; starting with monopoly and moving through the Cournot model of simultaneous quantity competition, the Bertrand model simultaneous price competition, and sequential competition. The following chapters apply game-theoretic tools to situations of increasing complexity: regulation; R&D incentives; mergers and collusion; bundling incentives; incomplete information, signaling, and competition; networks and switching costs. In addition to providing algebraic simplifications, some chapters also offer the unique feature of worked exercises based on published journal articles by leading scholars in the field. Finally, exercises are ranked according to their difficulty, with a letter (A-C) next to the exercise number, which allows students to pace their studies and instructors to structure their classes accordingly. The second edition contains additional exercises optimized for study at the upper undergraduate level. Providing a rigorous, yet practical introduction to the field of industrial organization, this textbook is appropriate for advanced undergraduate and graduate students in economics and finance.
Industrial Recommender System: Principles, Technologies and Enterprise Applications
by Lantao Hu Yueting Li Guangfan Cui Kexin YiRecommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises. The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference. Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Industrial Statistics with Minitab
by Pere Grima Cintas Lluis Marco Almagro Xavier Tort-Martorell LlabresIndustrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB: Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.
Industrial Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)
by Shelemyahu Zacks Ron S. Kenett Peter GedeckThis innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others.The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cybermanufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning.Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions, and supervised and unsupervised learning. These texts can be used independently or for consecutive courses.This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and “hot topics” like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applicationsProfessor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)
Industrialization and Under-developed Countries (Routledge Revivals)
by Alan B MountjoyFirst published in 1966, Industrialization and Under-Developed Countries traces the distribution, causes and problems of under-development and, from the point of view of the economic geographer, goes on to examine the difficulties and possibilities of industrialization as a remedy. Particular emphasis is laid upon the demographic factor both in the world situation and as affecting the way of life of individual countries. This book will be of interest to students of economics and geography.
Industry 4.0 Technologies: Volume 1—Theory, Challenges, and Opportunity (Environmental Footprints and Eco-design of Products and Processes)
by Vikas Kumar Rahul S. Mor Sonu Rajak Almoayied Assayed K E K VimalThis book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.
Industry 4.0 Technologies: Volume II - Methods for transition and trends (Environmental Footprints and Eco-design of Products and Processes)
by Vikas Kumar K. E. K. Vimal Rahul S. Mor Sonu Rajak Almoayied AssayedThis book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.
Industry 4.0: Technologies, Applications, and Challenges (Emerging Trends in Mechatronics)
by Aydin Azizi Reza Vatankhah BarenjiThis book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applications in the context of manufacturing. The book elucidates innovative thematic concepts of Industry 4.0 and its perspectives. It establishes routes to empirically utilize Industry 4.0 standards for manufacturing companies. The book can be used as a reference for professionals/engineers, researchers, and students.
Industry and Innovation: Textile Industry (SDGs and Textiles)
by José Moleiro MartinsThe primary objective of this book is to offer readers an insightful exploration into the realms of innovation and sustainability within the textile industry. As global competition intensifies, organizations are increasingly compelled to revisit and refine their business strategies, emphasizing the imperative for continuous innovation and adaptability. This shift towards innovation-centric strategies is driven by the pursuit of sustainability and a competitive advantage, underscoring innovation as the cornerstone for business growth and market expansion. Innovation not only opens avenues for companies to overhaul their business models and enhance process technologies but also enables them to achieve optimal productivity and minimize waste. In an era characterized by swift technological advancements, the demand for rapid information flow, and evolving consumer preferences, a firm’s capability to innovate emerges as a critical determinant of its growth, sustainability, and competitive positioning in the textile sector. Process innovation, which entails the adoption of novel or significantly improved manufacturing or delivery methodologies, plays a pivotal role. This could involve substantial modifications in techniques, equipment, and/or software, aimed at bolstering production efficiency, augmenting quality, or facilitating the creation and delivery of significantly improved or new products. Manufacturing firms, through their marketing departments, are in a constant quest for opportunities to develop new products to maintain their competitive edge. Organizations that lag in embracing innovation risk losing their market share and profitability as competitors seize the opportunity to outperform them. A firm’s innovative capabilities are instrumental in fostering long-term market sustainability and business growth by delivering unparalleled value to customers. Consequently, innovation is integral to corporate strategies for a myriad of reasons – from achieving more efficient production processes and enhancing market performance to cultivating a forward-thinking brand image and securing a sustainable competitive advantage.
Inequalities
by Leonid P. Lebedev Michael J. Cloud Byron C. DrachmanThis book offers a concise introduction to mathematical inequalities for graduate students and researchers in the fields of engineering and applied mathematics. It begins by reviewing essential facts from algebra and calculus and proceeds with a presentation of the central inequalities of applied analysis, illustrating a wide variety of practical applications. The text provides a gentle introduction to abstract spaces, such as metric, normed and inner product spaces. It also provides full coverage of the central inequalities of applied analysis, such as Young's inequality, the inequality of the means, Hölder's inequality, Minkowski's inequality, the Cauchy-Schwarz inequality, Chebyshev's inequality, Jensen's inequality and the triangle inequality. The second edition features extended coverage of applications, including continuum mechanics and interval analysis. It also includes many additional examples and exercises with hints and full solutions that may appeal to upper-level undergraduate and graduate students, as well as researchers in engineering, mathematics, physics, chemistry or any other quantitative science.
Inequalities
by G. H. Hardy J. E. Littlewood G. PólyaThis classic of the mathematical literature forms a comprehensive study of the inequalities used throughout mathematics. First published in 1934, it presents clearly and exhaustively both the statement and proof of all the standard inequalities of analysis. The authors were well known for their powers of exposition and were able here to make the subject accessible to a wide audience of mathematicians.
Inequalities
by Zdravko CvetkovskiThis work is about inequalities which play an important role in mathematical Olympiads. It contains 175 solved problems in the form of exercises and, in addition, 310 solved problems. The book also covers the theoretical background of the most important theorems and techniques required for solving inequalities. It is written for all middle and high-school students, as well as for graduate and undergraduate students. School teachers and trainers for mathematical competitions will also gain benefit from this book.
Inequalities and Applications 2010: Dedicated To The Memory Of Wolfgang Walter (International Series Of Numerical Mathematics Series #161)
by Michael Plum Catherine Bandle Attila Gilányi László LosoncziInequalities arise as an essential component in various mathematical areas. Besides forming a highly important collection of tools, e.g. for proving analytic or stochastic theorems or for deriving error estimates in numerical mathematics, they constitute a challenging research field of their own. Inequalities also appear directly in mathematical models for applications in science, engineering, and economics. This edited volume covers divers aspects of this fascinating field. It addresses classical inequalities related to means or to convexity as well as inequalities arising in the field of ordinary and partial differential equations, like Sobolev or Hardy-type inequalities, and inequalities occurring in geometrical contexts. Within the last five decades, the late Wolfgang Walter has made great contributions to the field of inequalities. His book on differential and integral inequalities was a real breakthrough in the 1970’s and has generated a vast variety of further research in this field. He also organized six of the seven “General Inequalities” Conferences held at Oberwolfach between 1976 and 1995, and co-edited their proceedings. He participated as an honorary member of the Scientific Committee in the “General Inequalities 8” conference in Hungary. As a recognition of his great achievements, this volume is dedicated to Wolfgang Walter’s memory. The “General Inequalities” meetings found their continuation in the “Conferences on Inequalities and Applications” which, so far, have been held twice in Hungary. This volume contains selected contributions of participants of the second conference which took place in Hajdúszoboszló in September 2010, as well as additional articles written upon invitation. These contributions reflect many theoretical and practical aspects in the field of inequalities, and will be useful for researchers and lecturers, as well as for students who want to familiarize themselves with the area.
Inequalities for Finite Difference Equations (Chapman & Hall/CRC Pure and Applied Mathematics)
by B.G. Pachpatte"A treatise on finite difference ineuqalities that have important applications to theories of various classes of finite difference and sum-difference equations, including several linear and nonlinear finite difference inequalities appearing for the first time in book form."
Inequalities for Graph Eigenvalues
by Zoran StaniWritten for mathematicians working with the theory of graph spectra, this book explores more than 400 inequalities for eigenvalues of the six matrices associated with finite simple graphs: the adjacency matrix, Laplacian matrix, signless Laplacian matrix, normalized Laplacian matrix, Seidel matrix, and distance matrix. The book begins with a brief survey of the main results and selected applications to related topics, including chemistry, physics, biology, computer science, and control theory. The author then proceeds to detail proofs, discussions, comparisons, examples, and exercises. Each chapter ends with a brief survey of further results. The author also points to open problems and gives ideas for further reading.
Inequalities for the Numerical Radius of Linear Operators in Hilbert Spaces
by Silvestru Sever DragomirAimed toward researchers, postgraduate students, and scientists in linear operator theory and mathematical inequalities, this self-contained monograph focuses on numerical radius inequalities for bounded linear operators on complex Hilbert spaces for the case of one and two operators. Students at the graduate level will learn some essentials that may be useful for reference in courses in functional analysis, operator theory, differential equations, and quantum computation, to name several. Chapter 1 presents fundamental facts about the numerical range and the numerical radius of bounded linear operators in Hilbert spaces. Chapter 2 illustrates recent results obtained concerning numerical radius and norm inequalities for one operator on a complex Hilbert space, as well as some special vector inequalities in inner product spaces due to Buzano, Goldstein, Ryff and Clarke as well as some reverse Schwarz inequalities and Grüss type inequalities obtained by the author. Chapter 3 presents recent results regarding the norms and the numerical radii of two bounded linear operators. The techniques shown in this chapter are elementary but elegant and may be accessible to undergraduate students with a working knowledge of operator theory A number of vector inequalities in inner product spaces as well as inequalities for means of nonnegative real numbers are also employed in this chapter. All the results presented are completely proved and the original references are mentioned.
Inequalities in Geographical Space
by Clementine Cottineau Julie ValleeInequalities are central to the public debate and social science research. They are inextricably linked to geographical space, shaping human mobility and migration patterns, creating diverse living environments and changing individuals’ perceptions of the society they live in and the inequalities that endure within it. Geographical space contributes to the emergence and perpetuation of inequalities between individuals according to their socioeconomic position, gender, ethno-racial origin or even their age. <p><p> Inequalities in Geographical Space examines inequalities in education, in the workplace, in public and private spaces and those related to migration. Written by geographers, sociologists and economists, this book draws on a variety of theoretical and methodological approaches and compares different spatial and temporal scales. It highlights the importance of geographical space as a vehicle for the expression, creation and reproduction of social, racial, economic and gender inequalities.