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This book introduces a'triple-bottom-line'approach to the concept and practice of family business sustainability. It is geared towards a broad audience covering social, economic, and environmental issues, to focus on implementation of sustainable practices. Having this in mind, this book provides possible ways of successfully managing family businesses in a sustainable manner, which should also lead to long-term business longevity. The social perspectives addressed by this book discuss the social responsibility of the family business, using a two-way approach contributing to the development of society. The economic outlook is introduced by aiming at a sustainable competitive advantage with an economic impact, and how a family business should adapt to changes and be proactive to gain economic sustainability. The environmental dimension is focused on actions against global warming and global agreements aimed at businesses to change their policies to prioritize the environment as part of their strategy. This book thus explores possibilities for family firms to add values along all chains in business activities and to contribute to introducing green environment products, or environmentally safe products. Each part of the book represents an important pillar of the family business unit that helps the firm to achieve and sustain its competitive advantage using the triple-bottom-line approach. Besides the objectives and the content, each chapter provides one short story applicable to a chapter's content and a case study for each chapter or topic. As learning tools besides case studies, the book provides key summaries, terminology, group assignments, and projects.

Combinatorial Optimization represents a major component of Operations Research, Mathematical Programming, and, in a broader sense, the development of digital intelligence (and society). It covers, in particular, such important areas as network design, location, routing, and scheduling, with major applications in transportation, logistics, health systems, production, communications, and energy.Starting from the exceptional contribution Professor Bernard Gendron made to combinatorial optimization and its applications in multiple areas, the book presents a state-of-the-art view on the field through a combination of surveys, expository articles, and focused methodological and applied research. The authors hail from various Operations Research areas and institutions around the world. Having collaborated closely with Professor Gendron, they drew on his foundational work to showcase a variety of models and algorithms that draw a living picture of the multifaceted word of applied combinatorial optimization.

Das Thema Mergers & Acquisitions ist für Wissenschaft und Praxis von hoher Relevanz. Die Herausforderung liegt insbesondere in interdisziplinären Fragestellungen, die sich im Rahmen solcher Transaktionen regelmäßig stellen. Der M&A Alumni Deutschland e.V. hat daher die Fachtagung „Mergers & Acquisitions im Spannungsfeld der Rechts- und Wirtschaftswissenschaften – Aktuelle Erkenntnisse aus Forschung und Praxis'ins Leben gerufen, um einen fachübergreifenden Diskurs anzustoßen. Im Rahmen der sechsten Tagung entstanden Beiträge, in denen sich Juristen und Wirtschaftswissenschaftler kritisch mit dem Thema auseinandersetzen.

This book lays out a foundation and taxonomy for Behavioral Decision Analysis, featuring representative work across various domains. Traditional research in the domain of Decision Analysis has focused on the design and application of logically consistent tools to support decision makers during the process of structuring problem complexity, modeling uncertainty, generating predictions, eliciting preferences, and, ultimately, making better decisions. Two commonly held assumptions are that the decision maker's cognitive belief system is fully accessible and that this system can be understood and formalized by trained analysts. However, in past years, an active line of research has emerged studying instances in which such assumptions may not hold. This book unites this community under the common theme of Behavioral Decision Analysis. The taxonomy used in this book categorizes research based on task focus (prediction or decision) and behavioral level (individual or group). Two theoretical lenses that lie at the interface between (1) normative and descriptive research, and (2) normative and prescriptive research are introduced. The book then proceeds to highlight representative works across the two lenses focused on individual and group-level decision making. Featuring various methodologies and applications, the book serves as a reference for researchers, students, and professionals across different disciplines with a common interest in Behavioral Decision Analysis.

'Sets the standard for excellence in the field and distinguishes itself as a truly vital and comprehensive book within its domain. The book is enriched by numerous real-world and up-to-date examples, along with insightful case studies, ensuring that the readers gain a holistic understanding of the subject.'Dr Arijit Bhattacharya, Associate Professor in Operations & Supply Chain Management, Norwich Business School, UEA The go-to resource on operations strategy, exploring key activities, processes and decisions adopted by a wide range of businesses Operations Strategy, 7th edition encourages a thorough understanding of the topic, building on concepts from strategic and operations management to marketing and HR management. The way an organisation manages their operations strategically can have a huge impact on its prospects – whether large or small, service or manufacturing, for-profit or not-for-profit, international or local. Operations strategy is fundamental to the success of any organisation and a major source of competitive advantage. The text encourages you to explore the key strategic decisions adopted by a wide range of organisations in different sectors, and is ideal for MBA students, upper-level undergraduates, postgraduates and executives.'Slack and Lewis have approached the ethical, societal, and environmental issues affecting business operations strategy in a post-pandemic world, with a blend of new chapters and contemporary case studies based on both external and internal contexts – an essential item for any serious Operations Strategy resource list.'Jamie Rundle, Senior Lecturer in Management, Nottingham Business School, UK New to this edition: More on responsible and sustainable operations brings the book up to date with recent developments, showing how operations impact social, ethical, and environmental issues. Increased emphasis on risk in operations strategy and the importance of external and internal context. Updated with several new examples throughout – now including an even wider range of different types of organisation. Four new case studies (bringing the total to 18) explore real-life practical applications to use in class or individually to ground theoretical concepts: House Partnerships at Concept Design Services, IKEA Looks to the Future, Kaston-Trenton Services, and computer game development at Widescale Studio.'To me, the textbook of Slack and Lewis is the best in the field of Operations Strategy.'Jan de Vries, Professor of Operations Management, University of Groningen, The Netherlands

This guide complements traditional project management by focusing on the critical pre-project stage. It addresses a major challenge: only 12% of projects finish on time and within budget, often due to poor initial pre-project analysis. This leads to wasted resources. The content offers proven best practices for implementing ISO 56007 recommendations, enhancing project calibration, selection, and overall success rates. Liberating innovators from the constraints of traditional business plans, the guide suggests, along with ISO 56007, a'Concept/Opportunity Case'as an investor-friendly alternative. This template is rooted in the robust IpOp Decision Tree, an ISO 56007-recommended checklist of 11 fundamental questions to thoroughly address essential decision-makers'concerns. This rigorous method ensures reliable project selection and optimal resource allocation. The IpOp Model serves as a structured roadmap, enabling project managers and innovators to transform ideas into compelling projects. It provides clear guidance for making informed decisions, whether to pivot or abandon projects that aren't viable. By following ISO 56007 recommendations, the IpOp Model helps navigate uncertainties and manage critical project factors effectively. Ideal for decision-makers, project managers, executives, professionals, intrapreneurs, and entrepreneurs engaged in project management and innovation, this guide is an essential tool for any pre-project analysis and for turning innovative ideas into successful projects.

This book brings together a diverse range of findings on current and emerging business concerns when the authors were developing a series of 12 working Analytic Research Consortium (ARC) White Papers. It presents several, differently configured scenarios, drawing on cyber as an example; the use and further optimization of estimative/probabilistic language; communicating analytical insights and other findings concerning ‘(un)certainty'to decision-maker end-users; and mitigating risk. It also evaluates in detail today's rapidly evolving Gen-AI systems and technologies, e.g. those underlying OpenAI's ChatGPT and Google's Bard/Gemini. This includes their respective value concerning scenario development and other business-relevant methods, tools and techniques, e.g. ‘Red Teaming'. The topics discussed are assessed using the multi-methodologies of, firstly, ‘Intelligence Engineering'(IE) and, secondly, ‘Strategic Options Analysis'(SOA). The latter half of the book introduces an alternative scenario planning process, including use of new computer-software and AI tools. In addition to Gen-AI, we identify that the emerging discipline of Causal AI may work better for foresight and scenario activities. The book is a valuable read for a diverse readership from the public and private sectors, spanning government, the military, law enforcement, education, industry, commerce, retail, and enterprises of all sizes. Also, students at business schools and high-level decision-makers, including politicians, military commanders, and C-Suite leaders in various fields, will benefit from it.

As global supply chains become more complex, the need for expertise in their financial aspects grows. This book aims to equip students and professionals with the knowledge to navigate these complexities, ensuring efficient and resilient financial supply chain operations. It provides an in-depth exploration into the intricate and constantly evolving realm of supply chain finance. By merging key concepts, major mechanisms, hands-on risk analytics, and the latest technology trends, this book offers a seamless and comprehensive examination of the topic, grounded in the author's twenty years of academic research and hands-on experience. Students in supply chain management will gain a thorough understanding of the financial elements that are integral to modern supply chains, including the importance of liquidity, the role of financial institutions, and the optimization of cash flows within the supply chain ecosystem. Definitions will be used throughout the text to elucidate financial terminology that may be unfamiliar to management students. The instructor's manual will include PowerPoint slides, exercises, and quizzes to assess student comprehension and progress. This textbook will serve as the primary resource for understanding the financial dimensions of supply chains.

The International Data Corporation (IDC) has unveiled a series of transformative predictions to reshape operations and supply chain management, leading companies to re-assess their processes. Applications of New Technology in Operations and Supply Chain Management offers an in-depth exploration of how emerging technologies are positioned to revolutionize the way businesses execute and coordinate their operations. Technology emerges as the linchpin of success in a landscape marked by supply chain disruptions, escalating energy costs, talent scarcity, and growing pressure to bolster sustainability and competitive resilience. Core to this transformation is the concept of the data-driven enterprise. This book dissects each IDC prediction, providing detailed analyses tailored to G2000 companies. In 2023, talent shortages and the demand for enhanced operational performance are driving a rethinking of digital transformation. Digitalized operations, supercharged by 5G connectivity, promise improved worker safety. The book delves into the adoption of digital technologies, the shift to cloud technology, and the emergence of real-time operational insights that can be accessed from anywhere. For instance, 2026 ushers in integrating digital tools for measuring carbon footprints and the increased use of robots in unconventional domains, such as remote inspection and maintenance. By 2027, augmented reality technology will take center stage, reducing operator and field worker errors. Furthermore, remote operations embrace satellite-based artificial intelligence or machine learning technologies, revolutionizing data collection and analysis at the edge. At its core, this book is a resource for exploring innovative pathways to integrate these transformative technologies into operations and supply chain management. This book is ideal for practitioners, researchers, and government entities. Within its pages, readers will embark on a comprehensive journey encompassing many topics. These include the role of chatbots and emerging technologies in research and teaching operations, the profound impact of blockchain technology on operations and decentralized supply chains, innovations in platform operations fueled by emerging technologies, and the transformative potential of digital twin technology in supply chain and operations management.

This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8–11, 2024, at the University of Sharjah, UAE. The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics.

This book, for the first time, proposes the complex systems management theory based on the integration of complex systems theory and management science to solve the overall complexity problem that cannot be dealt with by the reductionism approach. This theory not only provides a new way of thinking, but also introduces a novel logic for cognition, which has significant academic novelty and practical implications. In particular, by illustrating many real cases, it explains how to apply the complex systems management theory and contribute to practice. This book aims to build complex system management as a new integrated and fundamental concept in the field of management science that has significant potential, which has clear and important academic connotations. It develops a big-data-driven modeling technique for complex system scenarios based on the latest information technology to improve the ability of complex systems management theory in coping with the complexity of real problems. This book provides a new paradigm of thinking, a body of knowledge, and management tools for scholars and practitioners to analyze and solve problems with complex integrity.

Dieses Buch knüpft an die erfolgreiche Entwicklung des Drei-Säulen-Modells (3-P-Modell) der Autoren für die Organisation und Führung in disruptiven Zeiten an. Der Schwerpunkt liegt darauf, dem Leser bei der Umsetzung des Modells zu helfen und eine Vielzahl von Anwendungsfällen für diese VUCA-Zeiten (Volatilität, Ungewissheit, Komplexität und Mehrdeutigkeit), einschließlich globaler Krisen wie der COVID-19-Pandemie, zu liefern. Das Buch deckt ein breites Spektrum von Organisationen ab: privater und öffentlicher Sektor, Nichtregierungsorganisationen, lokale und globale Regierungsinstitutionen, globale Organisationen wie die UNO usw. Darüber hinaus wird aufgezeigt, wie das 3-P-Modell auf Herausforderungen bei der Organisationsgestaltung, dem Management und der Führung angewendet werden kann.

Based on the shared journey of two researchers, this book explores enhancing algorithms for the resource-constrained project scheduling problem. It examines the search for and significance of project data from multiple, distinct perspectives. In the first part, the quest for project data is presented as a continuous exploration of the complexity of the resource-constrained project scheduling problem. This quest is pursued by solving this challenging problem with the aid of state-of-the-art algorithms from the literature, each time gaining a deeper understanding of its challenging nature. To provide insights into the problem's complexity, project data is created, manipulated, and analyzed in depth to make current projects easier or harder to schedule. This challenging quest for project data has resulted in new project databases for academic research, new ways of testing future algorithms, and insights into how to improve future algorithms to solve this project scheduling problem with limited resources. In turn, the second part discusses the relevance of project data, demonstrating to the reader the importance of the academic research presented in the first part for the professional world. It shows how project data can be used to calibrate real project data, leading to improved decision-making, e.g. for project scheduling, forecasting, and risk analysis. The book extends a warm invitation to academics and practitioners alike, as fellow seekers of knowledge, to enhance their project management skills.

A new approach to improving the production of goods and services, Constraints Management (CM), recognizes the powerful role of the constraint (the limiting resource) in determining the output of the entire production system. By learning about and mastering CM concepts, managers can improve their companies'present output and plan for future growth as well.

Die Informationsökonomik bietet schon lange Instrumente zur Analyse der wirtschaftlichen Fragen des Informationsaustausches. Wenig untersucht ist aber bislang das Kommunikationsverhalten. Das vorliegende Buch setzt genau daran an. Anstatt einseitig das Kommunikationsverhalten der beschaffenden Organisation oder das Kommunikationsverhalten der Lieferanten zu untersuchen, steht tatsächlich wechselseitige Kommunikation im Vordergrund. Dazu entwickelt die Verfasserin theoriegestützt ein Untersuchungsmodell für die Wirkungszusammenhänge – hat (verbesserte) Lieferantenkommunikation Auswirkungen auf den Beschaffungserfolg?

Het basiswerk operations management Technische bedrijfsvoering of operations management is verantwoordelijk voor het efficiënt verloop van operaties in een bedrijf, en bepaalt daarom het organisatorisch kader waarbinnen kaderleden moeten opereren. Een basiskennis in de technische bedrijfsvoering is daarom een absolute meerwaarde. Dit handboek focust op de belangrijkste componenten van operations management. De aandacht gaat naar een aantal belangrijke technische en functionele probleemgebieden en de bijhorende beheertechnieken, waaronder logistieke processen en productiestructuren. Daarnaast gaat het boek dieper in op Integrale Kwaliteitszorg, een concept dat binnen elke bedrijfscontext niet meer weg te denken is. Met deze beknopte, maar toch diepgaande thematiek, is Technische bedrijfsvoering een grondslag voor studenten en professionals die zich in operations management willen bekwamen. Dit werk sluit aan bij het handboek Bedrijfskunde en ondernemen waarin een aantal basisbegrippen van ondernemerschap en bedrijfskunde belicht worden.

This book brings together original, peer-reviewed research papers from the 2024 10th International Conference on E-Business and Applications, held in Singapore from February 26 to 28, 2024. The papers delve into AI-enabled business innovation, data-driven value creation, and the emerging IoT landscape, providing in-depth insights into these rapidly evolving fields. The book bridges the gap between business intelligence, artificial intelligence, and e-commerce trading technologies, offering a holistic perspective on the intersection of these disciplines. Readers can gain valuable knowledge through real-world examples, data visualization techniques, and business analytics applications, enhancing their understanding of how these concepts translate into tangible business outcomes.

Digital supply chains increase companies'competitiveness. A systematic approach describes the development of strategies to achieve challenging corporate goals with the supply chain and its digitalisation. These include better fulfilling customer requirements, increasing sales, and simultaneously reducing costs. Strategy patterns are presented, and their implementation in companies is described. Entrepreneurs, supply chain, and operations managers receive a practice-oriented guide on how to align their company for the future. The tried-and-tested methods and approaches accelerate and facilitate strategy development, implementation, and support through digital solutions. The focus is on making/buying decisions, finding solutions for skills, digital solutions in production technology (3D printing), and the impact of Industry 4.0 and environmental aspects on the supply chain. Practical examples will show how new solution concepts support the design of future-oriented supply chains. The trigger points that could jeopardise a successful supply chain will also be presented, as well as the design for time and cost optimisation in the overall chain. How must a company fundamentally question the historically grown supply chain? What is essential in supply chain optimisation? The strategies presented define the processes, architectures, the use of digital technologies and the deployment of resources - considering the overarching corporate strategy, which calls for shorter delivery times and lower costs to remain competitive.

In this book, readers will be exposed to the Data and Decision Analytics Framework which helps a business analyst to first identify the root cause of business problems by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions should be developed to solve the problems. To guide the reader through the learning and application of this framework, several cases are included in the book to illustrate the typical operations management problems faced by businesses. These cases are based on experiences in business domains such as retail, healthcare, transportation and logistics operations, and banking, and they are related to demand forecasting, inventory management, distribution management, capacity planning, resource allocation, workforce scheduling, and service system management. For each case, a complete mapping of the case into the Data and Decision Analytics Framework was done to explain how the framework was applied to derive the data insights from data analytics, to define the business objectives, make the necessary assumptions, and then develop the solution to the business problem. This book aims at senior-year undergraduate or graduate students studying industrial engineering, business management with a focus on operations, or data science. They will learn how to use data analytics to first analyze problems to identify the root cause of problems, before developing the solutions supported by decision analytics.

Production and logistics companies can achieve significant competitive advantage with their supply chain and production processes. This book provides managers, practitioners, consultants and students with a comprehensive understanding of process optimisation. It covers a wide range of tools, methods and tried-and-tested procedures for improving performance in these areas. The methodological toolbox from the various optimisation philosophies - Lean Production, Supply Chain, Six Sigma, Continuous Improvement Processes and Theory of Constraints - is presented and evaluated. Digital tools for process analysis, such as process mining, are described. Procedures and approaches are described for the individual steps of comprehensive process optimisation. These include process analysis methods such as ARIS, value stream mapping, the supply chain operations reference model (SCOR), and numerous process evaluation methods. One focus of the book is the presentation of pragmatic implementation approaches and procedures, including agile project management methods. Three project examples from the author's consulting practice are used to describe the results of complex changes. The book contains many hints and tips for extensive process improvements. The author has many years of industry experience and has been advising leading companies in various sectors for over 25 years. It presents end-to-end improvement approaches for systematically increasing supply chain and production performance. Using tried-and-tested tools and examples, the reader learns how to successfully handle supply chain projects from the initial idea to implementation. Based on the author's implementation experience, a set of methods covers all aspects of production and supply chain process optimisation. With the detailed procedures, the book offers recommendations on running supply chain projects efficiently and successfully and which tools effectively support the work in the individual project phases.

In today's global market, supply chain management has become more critical than ever. This book delves into the strategic, operational, and technological aspects of supply chains, offering insights and practical solutions to create a seamless and resilient supply network. The main topics covered are production planning and inventory control, logistics and distribution, sustainability, risk management and future trends. Companies are facing unprecedented challenges, from geopolitical uncertainties and trade wars to natural disasters and global pandemics. These disruptions can have significant impacts on the supply chain, leading to delays, increased costs, and loss of customer trust. By addressing these critical areas, this book aims to equip you with the knowledge and tools needed to optimize your supply chains, drive innovation, and achieve sustainable success in a dynamic and challenging environment. Whether you are a seasoned supply chain professional or a newcomer to the field, From Source to Shelf provides valuable insights and practical guidance to help you master the art of supply chain management. What You Will Learn Understand the fundamental components and functions of supply chain management. Develop and implement effective supply chain strategies that align with overall business objectives. Navigate the complexities of modern supply chain management. Leverage cutting-edge technologies and implement sustainable and resilient practices. Who This Book is For Supply Chain professionals, managers, and consultants.

This book presents a systematic framework for Service 4.0, including service digitization, digitalization, and digital transformation, which is an integral part of Supply Chain 4.0 in coping with complex, dynamic, and interdependent systems. It provides a comprehensive state-of-the-art review of digital technologies to support Service 4.0 and Supply Chain 4.0, and discusses important pillars of customer-centric supply chain models. It then explains the role of big data in customer-centric service-based supply chains and links the different types of data needed to promote end-to-end transparency and value co-creation activities to promote these key pillars. Moreover, the book introduces practical models to support analytics for customer-centric supply chains and sheds light on how the industry practically uses existing models to promote service co-creation. A chapter of a case study on women's clothing e-commerce reviews and demonstrates how various data visualization and text mining methods can be used to uncover meaningful insights within the review data. The book is intended to help students and researchers quickly navigate through various technologies and future research directions in the areas of Service 4.0 and Supply Chain 4.0. It is also a valuable read for practitioners in this field.

This contributed volume guides researchers and practitioners on resource collaborative management of supply chains and manufacturing enterprises within an industrial internet technological environment. The book comprises 10 chapters that cover two major topics in the subject of logistics 4.0, namely the utilization of both disruptive technologies and optimization techniques in smart logistic management. With global research on the book's topic expanding rapidly across various directions and disciplines, it provides a structured framework for international experts to showcase outstanding work and unique approaches. Researchers and students will find the comprehensive outline on collaborative optimization and management of smart manufacturing and production, warehousing, inventory, logistics, transportation, integrated supply chain, and supply network within the industrial internet platform a beneficial guide to understanding current and future practical problems that arise in manufacturing and supply chain management.

As public awareness of social and environmental issues grew, more consumers began to support firms committed to developing and operating environmentally sustainable and socially responsible supply chains. Consumers, investors, and regulators began demanding transparency and accountability, pushing companies to address the environmental footprint of their products and operations. The book addresses essential questions, such as how a firm shifts its focus from being profit-focused to being triple-bottom-line driven and how a firm develops its supply chain with a conscience. Written by practice leaders and leading scholars, it sheds light on different paths a firm can take to embrace its role as a sustainability champion, paving the way for a future where profit and the planet coexist. The book is intended as a tribute to Professor Hau Lee's seminal contributions, elevating the triple bottom line to the forefront of the Operations Management (OM) research agenda. It stimulates practitioners and researchers to engage in deeper and broader discussions about ways to strike a better balance among profit, people, and the planet.

This volume presents the proceedings of the 20th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal on May 8-10, 2024. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

This proceedings volume provides in-depth research in the fields of quality innovation, sustainability, and operations management. It features contributions from the 4th International Conference on Quality Innovation and Sustainability (ICQIS) that explore how research in quality and innovation boost sustainability and includes solutions to complex industrial problems presented by researchers, professionals, and managers in the field. It also examines the drivers of quality management and sustainability in VUCA environments, with a special focus on supply chain management and innovation. Featuring real business cases on quality and sustainability, this book is useful for researchers, scholars, students, and academics interested in quality management, supply chain management, circular economy, and sustainability.

This book describes cutting-edge research and technologies aimed at increasing the efficiency of production processes and supporting the implementation of Industry 4.0 and Industry 5.0 solutions in production. Gathering peer-review contributions to the 8th International Scientific-Technical Conference MANUFACTURING 2024, held on May 14–16, 2024, in Poznan, Poland, it reports on research on and applications of artificial intelligence and digital technologies to improve the production process. It also presents augmented/virtual and mixed reality tools that can be used or have been tested in the manufacturing industry and for education and training purposes. Last but not least, it highlights cutting-edge solutions for green and sustainable production. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to bridge the gap between university and industry, fostering a closer communication and cooperation between them

The reference text discusses fundamental principles, planning, sourcing, demand forecasting, and supply forecasting in the field of supply chain management. It further highlights the important aspects of supply chain management such as resource planning, inventory management, quality tools, and documentation in logistics. It demonstrates the issues, barriers, emerging trends, and technological advances in supply chain management.This book: Discusses the principles of resource planning and inventory management in supply chain management Covers aspects of competing strategies and networking management Presents case studies highlighting ongoing practices and real-time issues in supply chain management Highlights the importance of demand and supply forecasting in the field of supply chain management Explains quality tools, emerging trends, challenges, and barriers in supply chain management It is written primarily for senior undergraduate and graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, management, supply chain management, and manufacturing engineering.

This book presents the state of the art of learning factories. It outlines the motivations, historic background, and the didactic foundations of learning factories. Definitions of the term learning factory and an updated morphological model are provided as well as a detailed overview of existing learning factory approaches in industry and academia, showing the broad range of different applications and varying contents in all continents. International learning factory best-practice examples are presented in detailed and structured manner. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Further research priorities and innovative learning factory concepts to overcome current barriers are offered. While today numerous learning factories have been built in industry (big automotive companies, pharma companies, etc.) and academia in the last decades, a comprehensive handbook forthe scientific community and practitioners alike is still missing. The book addresses therefore both researchers in production-related areas that want to conduct industry-relevant research and education, as well as managers and engineers in industry, who are searching for an effective way to train their employees. In addition to this, the learning factory concept is also regarded as an innovative learning concept in the field of didactics.

In the conditions of the modern market economy, in which globalization and competition are rife, quality is of great importance for determining a company's position in the market. The changing and complex economic reality is shaping new market patterns while modern technologies influence purchasing decisions. This book presents an effective and novel framework for creating value in Industry 4.0 conditions by building a smart enterprise model using quality management theories. The book explores tools and platforms that can be utilized to contribute to the creation of the ideal quality for demanding customers, using case studies from international contributors. It proposes novel architectures that drive economically viable production and services businesses, addressing unique Industry 4.0 and 5.0 solutions in Internet of Things (IoT) that involve the entire spectrum of analysis, with a special focus on lean methodologies and cybersecurity. This original book will be valuable reading for researchers and scholars in the areas of quality management, manufacturing, production, and operations management.

Mit der Neuauflage des erfolgreichen Werkes wird die Geschichte der vierten industriellen Revolution fortgeschrieben und der Dynamik Rechnung getragen, mit der die Vision in den vergangenen zwei bis drei Jahren weiterentwickelt und verwirklicht wurde.Experten aus Wissenschaft und Technik beleuchten verschiedene Facetten der Industrie 4.0 sowohl aus akademischer als auch aus praktischer Sicht und schaffen gleichermaßen einen Überblick über den Stand der Technik und die Vision selbst. Dies gelingt nicht zuletzt dank einer ausgewogenen Mischung aus wissenschaftlichen Erkenntnissen, Praxisbeispielen und Übersichtsbeiträgen. Die Themen der Beiträge reichen von Basistechnologien (bspw. cyber-physische Systeme) über Integrations- und Migrationsansätze bis hin zu Geschäftsmodellen und Dienstleitungen für die Industrie 4.0. Zudem werden die Datensicherheit und auch rechtliche Aspekte behandelt. In der 3. Auflage werden die Themenfelder um Künstliche Intelligenz, aktuelle Mobilfunkstandards und den daraus resultierenden Potentialen für eine zukünftige Plattformökonomie erweitert. Die dritte Auflage wurde bearbeitet und erweitert, erscheint nun in 3 Bänden. Dieser zweite Band beinhaltet neue und bearbeitet Beiträge zur Automatisierung. Online ist dieses Nachschlagewerk auch über Springer Reference verfügbar.

This graduate textbook is focused on digital transformation. It answers key questions regarding: which technologies can be used to transform an organisation, which activities within an organisation can be transformed, and what the aim of digital transformation should be. Now fully updated and expanded in this second edition, the content is divided into three main parts, the first of which offers an introduction to the topic, highlights fundamental examples of digital transformation, defines the terminology, and enables readers to quickly understand the main components of digital transformation. The second part of the book addresses examples of digital transformation from several industries, including: government; finance; health; manufacturing; and education. The third and final section of the book describes the activities and processes within a typical digital transformation programme. The pedagogical approach to the process makes the book beneficial to both students who have never been involved in such a programme and practitioners who plan to implement digital transformation in their organisation.

This book is a compilation of the papers presented at the COPERMAN 2023 conference, a meeting that bridges the gap between academia and industry in the field of performance management. This international conference brought together scientists and engineers from around the world to discuss and address many themes related to performance management, including the development of new methods and systems for performance measurement and management, the evaluation of human performance in various industrial contexts (including modern Industry 4.0 factory environments), and methodologies for business deployment. The book is for academics, graduate students, researchers, and industrial practitioners working in performance management. Its comprehensive coverage of diverse topics and cutting-edge research will provide readers with insights and knowledge that can be applied in their daily work, as well as inspire new research directions and interdisciplinary collaboration.

Dieses Buch erklärt, wie man mithilfe des Hoshin-Kanri-Prozesses effiziente und robuste Unternehmensstrategien entwickelt.Die Fähigkeit, eine Strategie zu entwerfen und umzusetzen, die es ermöglicht, die anspruchsvollsten und nachhaltigsten Ziele zu erreichen, ist das Herzstück der Entwicklung eines jeden Unternehmens. In diesem Buch zeigt die Autorin, die sich dieser Herausforderung gestellt hat, Schritt für Schritt auf, wie man es schaffen kann, welche Fallstricke zu vermeiden sind und welche Bedingungen für den Erfolg erfüllt sein müssen. Das Buch stützt sich auf ihre Erfahrungen und enthält die Aussagen anderer talentierter CEOs und leitender Angestellter. sowie letzte wissenschaftliche Referenzen. Im gesamten Buch werden konkrete Lösungen, Tipps und Ratschläge vorgeschlagen. Mit diesem Buch werden drei Ziele verfolgt:- Die Praktiken der Strategieentwicklung für Führungskräfte auf den neuesten Stand zu bringen;- denjenigen, die sich bei der Umsetzung ihrer Strategie wohler fühlen wollen, zu helfen, verschiedene Wege und Dokumente zu verstehen und zu testen; und- denjenigen, die ihre Strategie effizienter umsetzen wollen, neue Modelle und Anregungen zu bieten.Die deutsche Version dieses Buches wurde mithilfe von Werkzeugen der künstlichen Intelligenz und unter der wohlwollenden Überprüfung von Dr. Michael Gerstle erstellt.

This book provides a broad picture of solution concepts that are highly applicable to operations and supply chain settings and to explicate these concepts with some of the relevant problems in operations management in multi-agent settings. It discusses different strategic situations like games in normal form, games in extensive form, games of incomplete information, mechanism design, and cooperative games, to solve operations problems of supply chain coordination, capacity planning, revenue and pricing management, and other complex problems of matching supply with demand. The recognition and adoption of game-theoretic modeling for operations and supply chain management problems in multi-agent settings have been a hallmark of operations and supply chain literature research during the last few years. Despite research in operations and supply chain management having embraced both non-cooperative and cooperative game-theoretic solution concepts, there is still an abundance of underutilized concepts and tools in game theory that could strongly influence operations management problems. Additionally, with the increasing digitization of operations and supply chain management, the narrative of problems in these areas focuses on blockchain and smart contracts, platforms, and shared economy. The book profits from these new issues being predominantly multi-agent settings and lending themselves to game-theoretical solution concepts. The book's intended audience is the advanced undergraduate and graduate student community of operations and supply chain management, economics, mathematics, computer science, and industrial engineering. It is also relevant for the research community and industry practitioners who use multi-agent architecture in business problems.

Dieses bewährte Handbuch zeigt das Integrale Logistikmanagement als das Management des Güter-, Daten- und Steuerungsflusses auf der umfassenden Supply Chain, also entlang des gesamten Lebenszyklus von Produkten materieller oder immaterieller Natur (Industrie oder Dienstleistung). Für die neunte Auflage wurden alle Kapitel überarbeitet, gestrafft und die Abbildungsfarben systematisch zugeordnet. Lernziele wurden zu jedem Teilkapitel hinzugefügt und die folgenden Themen neu aufgenommen: Steigende Transaktionskosten beim OutsourcingKreislaufwirtschaft Darüberhinaus wurden die Schlüsselbegriffe der ASCM/APICS CPIM (Certified in Production and Inventory) Module sowie des ASCM/APICS CSCP (Certified Supply Chain Professional) Programms aktualisiert.

This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modelingand optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods tofacilitate collaboration and support shop floor workers.

Dieses umfassende und systematisch aufgebaute Handbuch befasst sich mit der ganzheitlichen Projektierung der Produktion in Fabriken. Es behandelt sowohl die Systeme der Produktion für die Teilefertigung und Erzeugnismontage, der Ver- und Entsorgung sowie des Fabrikbetriebes als auch die Erhaltungs- und Materialflusssysteme.Ausgehend vom Produktionsprogramm beschreiben die Autoren, wie die Systeme der Fabrik unter Beachtung praktischer Aspekte durch Funktionsbestimmung, Dimensionierung und Strukturierung entwickelt, optimiert und realisierungsgerecht gestaltet werden. In den Projektierungsmethoden kommen Prinzipien, Grundsätze, Berechnungsvorschriften und Algorithmen zur Anwendung. Dabei steht die Technologische Projektierung im Vordergrund, deren einzelne Phasen, Stufen und Schritte für alle Systeme der Fabrik exakt und reproduzierbar abgearbeitet und durch Beispiele unterstützt werden.Neu in der 3. Auflage (noch zu ergänzen)Die ZielgruppenDieses Buch wendet sich an Technologische Projektanten, Fabrikplaner, Architekten, Investitionsbewerter, Technologen, Werkplaner u.ä. Berufsgruppen, die in der Forschung, in der Lehre oder in der Praxis tätig sind. Angesprochen sind auch Studenten der betreffenden Studien- und Vertiefungsrichtungen.

In diesem essential wird anhand von praktischen Beispielen erläutert, wie die Anlagenproduktivität von produzierenden Unternehmen durch Einführung des OEE-Managements gesteigert werden kann. Es bietet eine leicht verständliche und in allen Branchen anwendbare Definition der Overall Equipment Effectiveness (OEE). Die Autoren geben umsetzungsorientierte Vorgehensvorschläge für die Einführung des OEE-Managements in Unternehmen sowie konkrete Hinweise zur Erfassung der Kennzahl, den Verlustursachen der Anlagenproduktivität sowie den Möglichkeiten zur Senkung der Verluste. Dabei gehen sie auch auf die steigende Wichtigkeit automatisierter Anlagendatenerfassung und digitaler Auswertung ein. Das Buch schließt mit einem Vorgehen zur finanziellen Bewertung erzielter OEE-Steigerungen.

This book introduces the grey prediction model methodology and its applications as a professional book. It involves the key concepts, data characteristics of modelling objects and the latest research achievements in grey system. The grey prediction models for homogeneous and non-homogeneous exponential sequences, saturated S-shaped sequences and special sequences have been introduced. This book combines the classical models and the latest models, case studies and model applications, modelling methods, and MATLAB programs in grey system. It is a guidebook for both new learners and professionals of grey prediction models.

17th WCEAM Proceedings provides a record of some of the intellectual discussions (including keynote addresses, research paper presentations, panel debates and practical workshops) that took place among the attendees and participants of the 17th World Congress on Engineering Asset Management (WCEAM), held from 18 - 20 October 2023 at the Sheraton Saigon Hotel and Towers, Ho Chi Minh City, Vietnam. The events were organized by the International Society for Engineering Asset Management (ISEAM) and hosted by RMIT University Vietnam LLC (RMIT VN), Ho Chi Ming City. The content of the book includes topics listed below under a general theme of Sustainable Management of Engineered Assets in a Post-Covid World: Industry 4.0, Digital Transformation, Society 5.0 and beyond Sustainable asset investment, acquisition, operations, maintenance, and retirement strategies Production-service transformation and product-service systems Sustainable asset acquisition, operations, maintenance, and retirement processes Modeling and simulation of acquisition, operations, maintenance, and retirement processes Reliability and resilience engineering Applications of the Fourth Industrial Revolution (4IR) technologies in EAM, e.g., Digital Twins Cybersecurity issues in asset management Asset condition, risk, resilience, and vulnerability assessments Asset management and decision support systems Applications of international and logical guidelines and standards in EAM Human dimensions and asset management performance Case studies of asset management in various industries and sectors This proceedings is an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students.

This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering. Smart manufacturing relies on predictive maintenance (PdM) to ensure sustainable production systems, and the integration of AI has become increasingly prevalent in this field. This book serves as a valuable resource for researchers, practitioners, and decision-makers in manufacturing. By combining theoretical research, practical applications, and case studies, it equips readers with the necessary knowledge and tools to implement AI for safety and reliability engineering effectively in smart manufacturing contexts.

Im Rahmen einer Podcast-Reihe im Jahr 2021 wurde die Entstehung eines Brettspiels - Von der Idee zum fertigen Produkt betrachtet. Im Rahmen dieses Herausgeberbandes erfolgt nun eine schriftliche Dokumentation durch Expertinnen und Experten aus der Brettspielbranche. Einleitend erfolgt eine Darstellung der Branche und der Branchenstrukturen orientiert an den Netzwerkstrukturen moderner Wertschöpfung. Bekannte Autorinnen und Autoren erläutern Ihre Vorgehensweisen zur Entwicklung von Brettspiel-Ideen und deren Weiterleitung an die Redaktionen in Verlagen. Führende Experten aus verschiedensten Aufgabengebieten in Verlagen stellen Ihre Aufgabenbereiche vor und erläutern die Prozesse in der Entstehung von Brettspielen (Redaktion, Illustration, Grafik, Lokalisierung, Lizenzierung). Der Produktionsprozess wird ausgehend von der Kalkulation, über den Einkauf, unterschiedliche Materialkomponenten, die Produktionsstätten bis zu Qualitätssicherung und Produktsicherheit. Unterschiedliche Vertriebswege für Brettspiele werden ebenso betrachtet wie die Medien- und Kommunikationsarbeit in Verlagen. Es erfolgt eine Betrachtung der verschiedenen Mediensegmente, über die Inhalte mit Brettspiel-Bezug rezipiert werden, sowie eine Betrachtung der für die Branche relevanten Auszeichnungen. Der Betrachtung des Kulturguts Brettspiel aus verschiedenen Blickwinkeln ist die abschließende Sektion dieses Buches gewidmet. Das Handbuch ist nicht nur für Brancheninsider von Interesse, sondern auch für Brettspielfans, die einen tieferen Einblick in das Hobby gewinnen möchten.

The proceeding volume focuses on the “AI and data driven technical and management innovation in logistics, informatics and services”. In detail the included scientific papers analyze the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The proceedings volume is documentation of LISS 2023 at Beijing and Hong Kong in July 26-28, 2023. It is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University.

The proceedings volume is the documentary of IEIS 2023, held online on 26-28 July 2023. IEIS 2023 (International Conference on Industrial Economics System and Industrial Security Engineering), which is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University, is a prime international forum for people involved in the conference in the world to discuss the problems in industrial economics and industrial security theories and practices. It aims to provide insights in solving the problems in national economy, social development and economic security. The conference theme is “Industrial development, industrial security and national economic security under the background of globalization”.

Manufacturing companies face challenges in managing increasing process complexity while meeting demands for on-time delivery, particularly evident during critical processes like assembly. The early identification of potential missing parts at the beginning assembly emerges as a crucial strategy to uphold delivery commitments. This book embarks on developing machine learning-based prediction models to tackle this challenge. Through a systemic literature review, deficiencies in current predictive methodologies are highlighted, notably the underutilization of material data and a late prediction capability within the procurement process. Through case studies within the machine industry a significant influence of material data on the quality of models predicting missing parts from in-house production was verified. Further, a model for predicting delivery delays in the purchasing process was implemented, which makes it possible to predict potential missing parts from suppliers at the time of ordering. These advancements serve as indispensable tools for production planners and procurement professionals, empowering them to proactively address material availability challenges for assembly operations.

This book is about the relationship between Product Lifecycle Management (PLM) and new technologies that have emerged in the early years of the twenty-first century. The technologies addressed include the Internet of Things (IoT), Artificial Intelligence (AI), Digital Thread, Digital Twins, Big Data, digital transformation, sustainable products, and Systems Engineering.Product Lifecycle Management is the business activity of managing, in the most effective way, a company's products all the way across their lifecycles—from the very first idea for a product all the way through until it is retired and disposed of. PLM is a key technology for all manufacturing and engineering companies as it manages their products from Ideation, through Definition, Realisation, and Use to Retirement. The basics of PLM have been addressed in previous volumes in this series. Due to its wide span across a company, PLM has many interactions with other key technologies and systems. This Volume 6 of Product Lifecycle Management looks at the relationship of PLM to other technologies and strategies that have emerged in the twenty-first century and are used by manufacturing companies. The book also includes chapters addressing PLM education in different industry sectors such as mechanical engineering and electronic engineering.

This book explores how transformative changes driven by the new-age economy can bring about improvements in a company's engineering and manufacturing capabilities. The new-age economy is driven by advanced engineering and manufacturing practices, processes, and technologies, including the Internet of Things (IoT), Cloud Computing, Blockchain, Artificial Intelligence, Robotics, Cyber-Physical Systems (CPS), and Internet-enabled systems to automate industrial processes. Today's business dynamics are governed by uncertainties, disruptions, complexities, and ambiguities that demand quicker and more intelligent decisions. These changes could relate a renaissance in the company's engineering and manufacturing capabilities. To sustain these volatile and ever-changing business dynamics, Industry 4.0 and 5.0 have revolutionized how organizations operate and make intelligent business decisions. Moreover, the extensive role of business analytics has overcome the limitations ofclassical computing through new technologies and intelligent computing methodologies. Over the past few years, much emphasis has been given to investing in developing hardware and programming frameworks for achieving computational intelligence using fuzzy logic, evolutionary computation, neural networks, probabilistic methods, and learning theory. Within this frame of reference, the reliability, quality, and maintenance of complex industrial and manufacturing systems are essential for organizations to utilize them successfully for informed decisions. This book focuses on studies that provide new solutions for system reliability, quality, security, and maintainability using quantitative and qualitative research. It emphasizes developments and problems in systems engineering management, systems integration, software and hardware engineering, and the development process.

This book examines multiple criteria decision making (MCDM) and presents the Sequential Iterative Modelling for Urban Systems (SIMUS) as a method to be used for strategic decision making. It emphasizes the necessity to take into account aspects related to real world scenarios and incorporating possible real-life aspects for modelling. The book also highlights the use of sensitivity analysis and presents a method for using criteria marginal values instead of weights, which permits the drawing of curves that depicts the variations of the objective function due to increments/decrements of criteria values. In this way, it also gives quantitative values of the objective function allowing stakeholders to perform a comprehensive risk analysis for a solution when it is affected by exogenous variables. Strategic Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into four parts. Part 1 is devoted to exploring the history and development of the discipline and the way it is currently used. It highlights drawbacks and problems that scholars have identified in different MCDM methods and techniques. Part 2 refers to what can be done using the MCDM process. Part 3 proposes the SIMUS method as a strategic procedure to deal with MCDM problems, and addressing how to approach complicate scenarios. Part 4 is entirely devoted to support practitioners through more than 100 questions a user may ask, and their corresponding answers, as well as a collection of solved six complex real-life scenarios. The decision-making process can be a complex task, especially with multi-criteria problems. With large amounts of information, it can be an extremely difficult to make a rational decision, due to the number of intervening variables, their interrelationships, potential solutions that might exist, diverse objectives envisioned for a project, etc. The SIMUS method has been designed to offer a strategy to help organize, classify, and evaluate this information effectively.

Der New-Work-Trend beherrscht seit einigen Jahren die Strategiediskussionen zahlreicher Unternehmen. Die Mehrheit der Unternehmen nimmt an, dass New-Work-Maßnahmen einen Wandel der Kultur von konventionell und traditionsreich zu flexibel und innovativ mit sich bringen. Trotz der Verankerung in Strategie und Unternehmensvisionen gibt es bisher wenig empirische Forschung, die den Zusammenhang von Unternehmenskultur und New Work behandelt. Das Ziel des Buches ist es daher, diese Forschungslücke mit dem Fokus auf Kreativität als Vorläufer für Innovation und Fortschritt zu schließen, um Handlungsempfehlungen für Unternehmen zu entwickeln, die einen Kulturwandel anstreben und die Kreativität ihrer Mitarbeiter anregen wollen.