This book presents a guide to digital twin technologies and their applications within manufacturing. It examines key technological advances in the area of Industry 4.0, including numerical and experimental models and the Internet of Things (IoT), and explores their potential technical benefits through real-world application examples. This book presents digital models of advanced manufacturing processes dynamics that enable to control the cutting processes including experimental and simulation studies for brittle-ductile transition of ultra-precision machining materials assuring product quality. Innovative electrical power harvesting solutions from tool vibrations and wireless data transmission from confined and heavily cooled environment are also included. It explains the benefits of virtual and physical twins adapted to real systems, including the ability to shorten the product's path to the market, and enabling the transition to higher value-added manufacturing processes. Including numerous illustrations and clear solved problems, this book will be of interest to researchers and industry professionals in the fields of mechatronics, manufacturing engineering, computational mechanics.

Lean is about building and improving stable and predictable systems and processes to deliver to customers high-quality products/services on time by engaging everyone in the organization. Combined with this, organizations need to create an environment of respect for people and continuous learning. It's all about people. People create the product or service, drive innovation, and create systems and processes, and with leadership buy-in and accountability to ensure sustainment with this philosophy, employees will be committed to the organization as they learn and grow personally and professionally. Lean is a term that describes a way of thinking about and managing companies as an enterprise. Becoming Lean requires the following: the continual pursuit to identify and eliminate waste; the establishment of efficient flow of both information and process; and an unwavering top-level commitment. The concept of continuous improvement applies to any process in any industry. Based on the contents of The Lean Practitioners Field Book, the purpose of this series is to show, in detail, how any process can be improved utilizing a combination of tasks and people tools and introduces the BASICS Lean (R) concept. The books are designed for all levels of Lean practitioners and introduces proven tools for analysis and implementation that go beyond the traditional point kaizen event. Each book can be used as a stand-alone volume or used in combination with other titles based on specific needs. Each book is chock-full of case studies and stories from the authors' own experiences in training organizations that have started or are continuing their Lean journey of continuous improvement. Contents include valuable lessons learned and each chapter concludes with questions pertaining to the focus of the chapter. Numerous photographs enrich and illustrate specific tools used in Lean methodology. Implementing Lean: Converting Waste to Profit explores implementation methods, line balancing methods, including baton zone or bumping, and implementing Lean in the office and machine shops. The goal of this book is to introduce the balance of the tools and how to proceed once the analysis is completed. There are many pieces to a Lean implementation and all of them are interconnected. This book walks through the relationships and how the data presented can be leveraged to prepare for the implementation. It also provides suggest solutions for improvements and making recommendations to management to secure their buy-in and approval.

The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly "customer-centric", from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation - called "exponential information system" to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software "micro-factories" that produce service platforms, which are called "Lean software factories." This "software factory" concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the "lean approach to digital transformation" because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation.

In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organisations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value. Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.

SCM is one of the hottest topics in manufacturing and distribution, and like JIT and TQC it requires a corporate commitment. This book provides both fundamental principles of SCM as well as a set of guidelines to assist in practical application of SCM. It will be one of the first books on the market that deals exclusively with SCM and its application. Readers in the academic, management sciences, sales, marketing and government environments will find this book of particular interest.

This research monograph presents an inter-disciplinary study of the impact, and current status, of applications of complexity-related concepts in the early stages of development of Agile Project Management (APM). The results serve as an introduction for exploring more profound relations between complexity-related ideas and APM in the future. The increasing complexity of software projects and their environment in the 1990s constituted the main determinants of the development of the family of methodological frameworks called Agile Project Management. Development of APM has been shaped by a broadly defined area of research called complexity science or complexity theory based on complex adaptive systems (CAS) and on their characteristics: Complexity, chaos, the edge of chaos, emerging properties, non-linearity, self-organization, etc. In the 21st century, due to the expansion of Agile beyond software development, the challenges deriving from the complexity of projects and the environment are even more urgent or compelling. Such phenomena demand more profound inter- and multi-disciplinary studies. This book examines the impact of applications of complexity-related ideas deriving from intuitive complexity and from complexity science in the early stages of development of the Agile methodological frameworks in project management and considers the current status of those applications. It questions the usefulness of those applications for the practice and theory of APM, and then proposes a conceptual framework for further theoretical studies and several ways of improvement and refinement of the Agile Project Management necessary to deal with broadly defined complexity in project management. Requiring a medium-level knowledge of complexity studies and knowledge of project management, this book is written for the research community studying the links between the various methodological frameworks included in APM and complexity-related ideas. It will also be interesting for studies of the impact of complexity on modern management, and for master's students on IT and management courses.

Handbook of Production Scheduling concentrates on real-world production scheduling in factories and industrial settings. It includes industry case studies that use innovative techniques, as well as academic research results that can be used to improve real-world production scheduling. Its purpose is to present scheduling principles, advanced tools, and examples of innovative scheduling systems to persons who could use this information to improve production scheduling in their own organization. The intended audience includes: production and plant managers, industrial engineers, operations research practitioners, advanced undergraduate/graduate students and faculty studying and doing research in operations research and industrial engineering.

The spread of the Internet into all areas of business activities has put a particular focus on business models. The digitalization of business processes is the driver of changes in company strategies and management practices alike. This textbook provides a structured and conceptual approach, allowing students and other readers to understand the commonalities and specifics of the respective business models. The book begins with an overview of the business model concept in general by presenting the development of business models, analyzing definitions of business models and discussing the significance of the success of business model management. In turn, Chapter 2 offers insights into and explanations of the business model concept and provides the underlying approaches and ideas behind business models. Building on these foundations, Chapter 3 outlines the fundamental aspects of the digital economy. In the following chapters the book examines various core models in the business to consumer (B2C) context. The chapters follow a 4-C approach that divides the digital B2C businesses into models focusing on content, commerce, context and connection. Each chapter describes one of the four models and provides information on the respective business model types, the value chain, core assets and competencies as well as a case study. Based on the example of Google, Chapter 8 merges these approaches and describes the development of a hybrid digital business model. Chapter 9 is dedicated to business-to-business (B2B) digital business models. It shows how companies focus on business solutions such as online provision of sourcing, sales, supportive collaboration and broker services. Chapter 10 shares insight into the innovation aspect of digital business models, presenting structures and processes of digital business model innovation. The book is rounded out by a comprehensive case study on Google/Alphabet that combines all aspects of digital business models. Conceived as a textbook for students in advanced undergraduate courses, the book will also be useful for professionals and practitioners involved in business model innovation, and applied researchers.

Focuses on leader standard work and standard work Demonstrates the use of Lean tools including visual controls, Gemba walks, kanban, 5S and more Discusses why a Lean philosophy is so important in conjunction with using Lean tools Outlines the need for whiteboards vs. computers Includes real-life implementaitons and results

The focus of Supply Chain Engineering is the engineering design and planning of supply chain systems. There exists a very large variety of supply chain system types, all with different goals, constraints, and decisions, but a systematic approach for the design and planning of any supply chain can be based on the principles and methods of system engineering. In this book, author Marc Goetschalckx presents material developed at the Georgia Tech Supply Chain and Logistics Institute, the largest supply chain and logistics research and education program in the world. The book can be roughly divided into four sections. The first section focuses on data management. Since most of planning and design requires making decisions today so that supply chain functions can be executed efficiently in the future, this section introduces forecasting principles and techniques. The second section of the book focuses on transportation systems. First, the characteristics of transportation assets and infrastructure are shown. Then four chapters focus on the planning of transportation activities depending on who controls the transportation assets. The third section of the book is focused on storing goods, and the last section of the book is focused on supply chain systems that consider simultaneously procurement, production, and transportation and inventory as well as the design of the supply chain infrastructure or network design. In each chapter, first a model of the process being studied is developed followed by a description of practical solution algorithms. More advanced material is typically described in appendices. This makes it possible to use an integrated, breath-first treatment of supply chain systems by using the initial material in each chapter. A more in depth treatment of a specific topic or process can be found towards the end of each chapter. End-of-chapter exercises are included throughout. This text is suitable for several target audiences. The first target is a course for upper-level undergraduate students on supply chains. The second target is the use in a capstone senior design project in the supply chain area. The third target is an introductory course on supply chains either in a master of engineering or a master of business administration program, and the final audience consists of students attending logistics or supply chain post-graduate or continuing education courses.

This book is a novel contribution to a field dominated by conventional approaches to project management, it is about narratives in megaprojects. Some of the questions examined in this original new book include: * What are narratives? * Why are they important in megaprojects? * How are they formed and used in megaprojects? * How do promotors of and protestors against megaprojects craft narratives to their advantage? * What strategies can project managers employ to effectively use narratives in megaprojects? Built from longitudinal research studies in combination with internationally recognised teaching materials, this book will provide readers with a theoretical understanding of narratives and projects, as well as practical international case studies, including HS2, the Eden Project, the Sochi Olympics, Hyderabad and Chennai Metros, Westconnex and Tideway, to support their understanding. The authors explain the different types of narrative, how and why they are important in general and in relation to a megaproject and its life-cycle, but also how to craft narratives in different situations, and how they are changed and maintained over a project life-cycle. Narratives in Megaprojects doubles as a text supporting more advanced courses on project management or aspects thereof, and as a reflection of the state of the art in this particular perspective on megaprojects. It is essential reading for all students and professionals in Project Management, Construction, Infrastructure and Executive Leaders involved in megaprojects and infrastructure delivery.

Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor's manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.

Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterprise Systems presents innovative methods to address these needs. With a focus on engineering management, the book explains how to represent, model, and measure risk in large-scale, complex systems that are engineered to function in enterprise-wide environments. Along with an analytical framework and computational model, the authors introduce new protocols: the risk co-relationship (RCR) index and the functional dependency network analysis (FDNA) approach. These protocols capture dependency risks and risk co-relationships that may exist in an enterprise. Moving on to extreme and rare event risks, the text discusses how uncertainties in system behavior are intensified in highly networked, globally connected environments. It also describes how the risk of extreme latencies in delivering time-critical data, applications, or services can have catastrophic consequences and explains how to avoid these events. With more and more communication, transportation, and financial systems connected across domains and interfaced with an infinite number of users, information repositories, applications, and services, there has never been a greater need for analyzing risk in engineering enterprise systems. This book gives you advanced methods for tackling risk problems at the enterprise level.

This book is based on the presentations at the Third Workshop on Games in Production Management, The Effects of Games on Developing Production Management, held in Espoo, Finland, June 27-29, 1997. The workshop was organized by the Special Interest Group on Games of IFIP Working Group 5.7, which is coordinated by Professor Jens Riis. The Special Interest Group aims to enhance learning in production management in academia and in industry, through the development, application and research of simulation games. Currently, the Special Interest Group is developing a catalogue of games in production management, which will be available on the Internet. The two previous workshops of the Special Interest Group were held in Aalborg and in Sf/lnderborg, and a workshop and exhibition of simulation games was arranged in connection with the APMS '96 Conference in Kyoto in November 1996. In these workshops, various simulation games have been presented, experimented, and discussed, and experiences exchanged. As a result, a network of researchers and teachers interested in games has been created. The third workshop with participants from ten countries further expanded and strengthened the network, and created ideas for potential joint research projects in simulation for learning in production management. The workshop was sponsored by the IFIP Working Group 5.7 on Computer Aided Production Management Systems, Helsinki University of Technology, the Finnish Graduate School of Industrial Management, and the City of Espoo, which we gratefully acknowledge.

If one accepts the premise that there is no wealth without production, whether at the individual or national level, one is immediately led to the conclusion that the study of productive systems lies at the forefront of subjects that should be intensively, as well as rationally and extensively, studied to achieve the desired 'sustainable growth' of society, where the latter is defined as growth in the quality of life that does not waste the available resources in the long run. Since the end of World War II there has been a remarkable evolution in thinking about production, abetted to a large measure by the nascent field of informatics: the computer technology and the edifices that have been built around it, such as information gathering and dissemination worldwide through communication networks, software products, peripheral interfaces, etc. Additionally, the very thought processes that guide and motivate studies in production have undergone fundamental changes which verge on being revolutionary, thanks to developments in operations research and cybernetics.

Both academia and the real world are showing a vastly increased interest in international logistics. Although this book covers the entire topic, it may not contain sufficient detail to answer all questions. The topic-and the challenge is much larger than any single book can cover! A number of people helped us, and their assistance should be recognized. They include Robert L. Argentieri, Eunice Coleman, Patricia J. Daugherty, Robert Derbin, Robert Hannus, Ken Knox, Douglas Long, Eugene L. Magad, Dale S. Rogers, Robert Rouse, John Silvey, and Clyde Kenneth Walter. This book is designed for both the business world and the classroom. A separate Instructor's Manual has been prepared and may be requested on school letterhead from Chapman & Hall. International Logistics 1 Introduction This book is about international logistics and the international logistics system. International means that it will deal with transactions involving indi viduals or firms in more than one nation. Logistics means the organized movement of goods, ser vices, and, sometimes, people. Logistics was originally a military term. For exam ple, in author Tom Clancy's novel, Red Storm Rising, Russian General Alekseyev thought to himself about a battlefield situation: "The tactics ... no, amateurs dis cuss tactics. Professional soldiers study logistics. ,,1 When one speaks of the intema tionallogistics system, he means that huge array of carriers, forwarders, bankers, traders, and so on that facilitate international transactions, trades, and movements of goods and services. Communications are important, and a logistics system in cludes whatever communication capability it needs.

To succeed, an organization must cultivate management systems that effectively align their work and behaviors with principles and direction. These systems should be simple, comprehensible, actionable, and standardized. Establishing alignment in every value stream of an organization will ultimately create value for their customers and produce the desired results. This alignment stems from an understanding of why an organization exists, where it is going, and how it will get there. Enterprise Alignment and Results guides readers to their goal of enterprise-wide alignment by providing a deeper look at the Shingo Model. This book builds upon the previous books in the Shingo Model Series by continuing to define ideal behaviors and the systems that drive them and increasing understanding of fundamental beliefs and how to use behavioral benchmarks. As readers examine the principles of "Create Constancy of Purpose," "Think Systemically," and "Create Value for the Customer," they will gain a deeper knowledge of the relationship between behaviors, systems, and principles. This knowledge will foster an understanding of how to create alignment within their organizations, thereby increasing the consistency of delivering ideal results.

Provides an insight to safety managers in analyzing bad events and the ways to deal with them. Covers randomness, uncertainty, and predictability in detail. Explains concepts including reverse stress testing, real-time monitoring, and predictive maintenance in a comprehensive manner. Presents mathematical analysis of incidents and accidents using statistics and probabilities theories.

Throughout the management literat ure , as elegantly trumpeted by management consultants and gurus, there seems to be a common message: tor a firm to be competitive it must produce quality goods or services. This means that firms, to remain competitive, must at the same time produce at the least cost possible to be price competitive and deli ver high quality products and services. As a result, quality has become strategie overnight, involving all, both in and out of the firm, in the management of its interfaces with clients and the environment. To give quality, suppliers, buyers, operations and marketing managers, as weIl as corporate management must become aware of the mutual relationships and inter-dependencies to which they are subjected, so that they will be able to function as a coherent whole. This involves human relations and people problems, organizational design issues, engineering design options, monitoring and control approaches and, most of all , a managerial philosophy that can integrate, monitor and eontrol the multiple elements which render the firm a viable quality producing and profitable whole. To realize the benefits of quality it is imperative that we design products to be compatible with market needs, market structure, eompetition and, of course, that we are constantly aware and abreast of consumers' tastes and the manufacturing technologies that are continuously emerging.

Risk management has become an essential issue in supply chain management, from the modeling of the decision maker's risk preference, and the studies on uncertain elements such as demand, supply, price, lead time, etc., to the consideration of more practical background including cash flow constraints, inventory financing and delayed cash payment. In this new volume, the authors provide a framework to study the interaction of various factors related to risk and their influence on supply chain management. The scope of areas covered includes operations management, decision analysis, and business administration. This book focuses on several key issues of risk management in supply chains. Specifically, an analysis framework is presented for studying the supplier selection problem and identifying the optimal sourcing strategy in a one-retailer two-suppliers supply chain with random yields. The optimal sourcing strategy of a retailer and the pricing strategies of two suppliers under an environment of supply disruption are investigated. Besides, the authors study the dynamic inventory control problems with cash flow constraints, financing decisions as well as delayed cash payment. In addition, originating from the annual international iron ore price negotiation, the authors model the bargaining process to deal with the risk of wholesale price in the game analysis context. Within the three perspectives of risk management in supply chains, the modeling of decision maker's risk preference has been extensively studied and many results have been obtained to guide the practice. However, the analysis on the other two kinds of topics is still in its infancy, and needs more efforts from academia. It is thus the ambition and innovation for this book to contribute on risk management in supply chains in the following ways: (1) characterizing the explicit sourcing strategy (i.e., single sourcing or dual sourcing) to deal with supply disruption risk; (2) introducing the concepts of financial risk measurement by incorporating cash flow constraints, inventory financing and delayed cash payment into inventory management models; and (3) providing insights for the iron ore price negotiation to help steel manufacturers handle the risk of price increase.

This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.

ERP Systems for Manufacturing Supply Chains: Applications, Configuration, and Performance provides insight into the core architecture, modules, and process support of ERP systems used in a manufacturing supply chain. This book explains the building blocks of an ERP system and how they can be used to increase performance of manufacturing supply chains. Starting with an overview of basic concepts of supply chain and ERP systems, the book delves into the core ERP modules that support manufacturing facilities and organizations. It examines each module's structure and functionality as well as the process support the module provides. Cases illustrate how the modules can be applied in manufacturing environments. Also covered is how the ERP modules can be configured to support manufacturing supply chains. Setting up an ERP system to support the supply chain within single manufacturing facility provides insight into how an ERP system is used in the smallest of manufacturing enterprises, as well as lays the foundation for ERP systems in manufacturing organizations. The book then supplies strategies for larger manufacturing enterprises and discusses how ERP systems can be used to support a complete manufacturing supply chain across different facilities and companies. The ERP systems on the market today tend to use common terminology and naming for describing specific functions and data units in the software. However, there are differences among packages. The book discusses various data and functionalities found in different ERP-software packages and uses generic and descriptive terms as often as possible to make these valid for as many ERP systems as possible. Filled with insight into ERP system's core modules and functions, this book shows how ERP systems can be applied to support a supply chain in the smallest of manufacturing organizations that only consist of a single manufacturing facility, as well as large enterprises where the manufacturing supply chain crosses multiple facilities and companies.