Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems; finite automata; labelled Petri nets; and cellular automata. The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology. Academic researchers with backgrounds in applied mathematics, engineering or computer science and practising engineers working with discrete-time and discrete-space systems will find this book a helpful source of new understanding for this increasingly important class of systems. The basic results to be found within are of fundamental importance for further study of related problems such as automated synthesis and safety control in cyber-physical systems using formal methods.

This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the twenty-first-century oil and gas industry. The use of digital or artificial intelligence methods in flow assurance has increased recently to achieve fast results without any thorough training effectively. Generally, flow assurance covers all risks associated with maintaining the flow of oil and gas during any stage in the petroleum industry. Flow assurance in the oil and gas industry covers the anticipation, limitation, and/or prevention of hydrates, wax, asphaltenes, scale, and corrosion during operation. Flow assurance challenges mostly lead to stoppage of production or plugs, damage to pipelines or production facilities, economic losses, and in severe cases blowouts and loss of human lives. A combination of several chemical and non-chemical techniques is mostly used to prevent flow assurance issues in the industry. However, the use of models to anticipate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance models on hydrates, wax, asphaltenes, scale, and corrosion management are challenged with accuracy and precision. They are not also limited by several parametric assumptions. Recently, machine learning methods have gained much attention as best practices for predicting flow assurance issues. Examples of these machine learning models include conventional approaches such as artificial neural network, support vector machine (SVM), least square support vector machine (LSSVM), random forest (RF), and hybrid models. The use of machine learning in flow assurance is growing, and thus, relevant knowledge and guidelines on their application methods and effectiveness are needed for academic, industrial, and research purposes. In this book, the authors focus on the use and abilities of various machine learning methods in flow assurance. Initially, basic definitions and use of machine learning in flow assurance are discussed in a broader scope within the oil and gas industry. The rest of the chapters discuss the use of machine learning in various flow assurance areas such as hydrates, wax, asphaltenes, scale, and corrosion. Also, the use of machine learning in practical field applications is discussed to understand the practical use of machine learning in flow assurance.

This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. Exercises are included in each chapter, while the answers to selected exercises help deepen readers' understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.

This edited volume reviews the current state of the art in the additive manufacturing of optical componentry, exploring key principles, materials, processes and applications. A short introduction lets readers familiarize themselves with the fundamental principles of the 3D printing method. This is followed by a chapter on commonly-used and emerging materials for printing of optical components, and subsequent chapters are dedicated to specific topics and case studies. The high potential of additive manufactured optical components is presented based on different manufacturing techniques and accompanied with extensive examples - from nanooptics to large scale optics - and taking research and industrial perspectives. Readers are provided with an extensive overview of the new possibilities brought about by this alternative method for optical components manufacture. Finally, the limitations of the method with respect to manufacturing techniques, materials and optical properties of the generated objects are discussed. With contributions from experts in academia and industry, this work will appeal to a wide readership, from undergraduate students through engineers to researchers interested in modern methods of manufacturing optical components.

Various Multiple Criteria Decision-Making (MCDM) techniques in one book: 13 MCDM techniques have been applied, namely, WSM, WPM, WASPAS, GRA, SMART, CRITIC, ENTROPY, EDAS, MOORA, AHP, TOPSIS, VIKOR, and new tools: MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. To date, no other book possesses this many tools. Various quantitative techniques: Different quantitative techniques have been applied, namely, Cronbach alpha, Chi-square and ANOVA (for demographic analysis), Percent Point Score and Central Tendency (response analysis), Factor Analysis, Correlation and Regression. To date, no other book possesses this many tools. Interpretive Structural Modelling: ISM has been applied for verifying MCDM results through MICMAC analysis and ISM model thus paving the way for model through SEM. Structural Equation Modelling: SEM using AMOS in PASW has been applied for model development. New MCDM techniques developed: In the process during qualitative analysis, new tools have been developed and their results have been compared with other existing MCDM tools and the results are encouraging. The new techniques are MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. Qualitative Model Developed: As the title says, Sustainable Green Development and Manufacturing Performance through Modern Production Techniques. It is a need-of-the-hour topic, as industries must maintain their performance (sustainable development) and, while sustaining, they have to keep in mind green issues (that is, environment-related issues, especially during the COVID-19 pandemic) and adopt advanced manufacturing and maintenance techniques. A model for this has been developed which will be helpful to both academicians and industrialists. Real-time Case Studies: Case studies in two industries of differing origins, different manufacturing sectors, different products, and comparing their units in the country of their origin and India. Dr. Chandan Deep Singh is an assistant professor in the Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India). He is a co-author of Adolescents, Family and Consumer Behaviour (Routledge, 2020) and of Manufacturing Competency and Strategic Success in the Automobile Industry (CRC Press, 2019). Dr. Harleen Kaur is a manager (HR) at DELBREC Industries, Pvt. Ltd., Chandigarh. She co-authored Adolescents, Family and Consumer Behaviour (Routledge, 2020).

This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and sustainability in operations and manufacturing are discussed in this book. The contents of this book will be useful to academics, researchers and practitioners working in the field of systems engineering and operations management.

This book includes a selection of peer-reviewed papers presented at the 10th China Academic Conference on Printing and Packaging, which was held in Xi'an, China, on November 14-17, 2019. The conference was jointly organized by the China Academy of Printing Technology, Beijing Institute of Graphic Communication, and Shaanxi University of Science and Technology. With 9 keynote talks and 118 papers on graphic communication and packaging technologies, the conference attracted more than 300 scientists. The proceedings cover the latest findings in a broad range of areas, including color science and technology, image processing technology, digital media technology, mechanical and electronic engineering, Information Engineering and Artificial Intelligence Technology, materials and detection, digital process management technology in printing and packaging, and other technologies. As such, the book appeals to university researchers, R&D engineers and graduate students in the graphic arts, packaging, color science, image science, material science, computer science, digital media, and network technology.

Resilience engineering has since 2004 attracted widespread interest from industry as well as academia. Practitioners from various fields, such as aviation and air traffic management, patient safety, off-shore exploration and production, have quickly realised the potential of resilience engineering and have became early adopters. The continued development of resilience engineering has focused on four abilities that are essential for resilience. These are the ability a) to respond to what happens, b) to monitor critical developments, c) to anticipate future threats and opportunities, and d) to learn from past experience - successes as well as failures. Working with the four abilities provides a structured way of analysing problems and issues, as well as of proposing practical solutions (concepts, tools, and methods). This book is divided into four main sections which describe issues relating to each of the four abilities. The chapters in each section emphasise practical ways of engineering resilience and feature case studies and real applications. The text is written to be easily accessible for readers who are more interested in solutions than in research, but will also be of interest to the latter group.

These proceedings showcase the best papers selected from more than 500 submissions, and introduce readers to the hottest research topics and the latest developmental trends in the theory and application of MMESE. The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Long from October 22nd, 1993, Qian wrote: "You have created a very important modern science and technology in China!" MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, "Man" refers to working people as the subject in the workplace (e.g. operators, decision-makers); "Machine" is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and "Environment" describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three main goals of optimizing man-machine-environment systems are to ensure safety, efficiency and economy. These proceedings present interdisciplinary studies on essential concepts and methods from physiology, psychology, system engineering, computer science, environmental science, management, education, and other related disciplines. As such, they offer a valuable resource for all researchers and professionals whose work involves interdisciplinary areas touching on MMESE subjects.

Focusses on model based systems engineering and describes the architecture of the systems design models Uses real-world examples to corroborate different and disparate systems engineering activities Describes and applies the Vee systems engineering design methodology, with cohesive examples and application of designing systems Discusses culture change and the skills people need to design and integrate systems Shows detailed and cohesive examples of the systems engineering tools throughout the systems engineering lifecycle

With a bias for action, this book offers valuable insight into the origins of the much-celebrated Danish design tradition and how it can be employed to create design solutions to address today's environmental crisis using the planetary boundaries as positive creative constraints. Danish design has long been revered for its high-quality aesthetics, materials and craftmanship, encouraging sustainability without compromise. This book explores the lessons to be learnt from Scandinavian design ideals, introduces the philosophy and principles of circular economy, and showcases the potential power of combining circular economy and design in helping to mitigate the effects of climate change. It presents a range of case study examples across multiple sectors and includes interviews with Danish designers in architecture, furniture, fashion, digital design and industrial design, providing unique insights from some of the world's leading contemporary designers. Bridging theory and real-world insights and experiences, the book builds on the framework of the 4R’s The Circular Way: Reduce, Reuse, Recycle and Replace to encourage innovation through the replacement of environmentally damaging materials and business models. A must-read for product designers, industrial designers, consultants, business developers, sustainability professionals and students interested in learning how to design and implement circular, sustainable models into practice.

This book highlights the models developed to create a sustainable framework suitable for luxury in the textile sector and the innovative attempts in the luxury fashion and fabrics industry. The three chapters in this book discuss these issues by means of case studies and the future of such models.

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.

This book reviews the active faults around nuclear power plants in Japan and recommends an optimal method of nuclear power regulation controlled by the Nuclear Regulation Authority of Japan. The active faults around nuclear power plants have been underestimated in Japan since the latter half of the 20th century. However, based on the lessons learned from the Fukushima nuclear power plant accident, the book sheds light on why the risks of active faults were underestimated, and discusses the optimal scientific method of assessing those risks. Further, the author shares his experiences in the new standard for nuclear regulation creation team and in the active fault survey at the Nuclear Regulation Authority of Japan. This book is a valuable resource for students, researchers, academic and policy-makers, as well as non-experts interested in nuclear safety.

Reflecting more than 30 years of teaching experience in the field, this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications, including both chemical engineering and semiconductors. Among the topics featured are: quality assurance and statistics, continuous variables, hypothesis testing, comparative experiments, acceptance sampling, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work.

This book gathers papers presented at the 11th international scientific conference "Transbaltica: Transportation Science and Technology", held on May 2-3, 2019 at Vilnius Gediminas Technical University, Lithuania. It covers cutting-edge issues concerning research and development of modern transport systems. The chapters, written by an international group of experts, discuss novel and smart solutions in the area of vehicle engineering, including environmentally friendly technologies, topics relating to traffic safety, modeling and control, and solutions and challenges in modern logistics. Further topics include multimodal transport and vehicle automation. Providing comprehensive information and ideas concerning innovative transportation technologies and challenges, this book offers a valuable resource for transportation researchers and practitioners, including engineers, managers and decision-makers in the field.

This book comprises select papers presented at the Conference on Innovative Product Design and Intelligent Manufacturing System (IPDIMS 2020). The book discusses the latest methods and advanced tools from different areas of design and manufacturing technology. The main topics covered include design methodologies, industry 4.0, smart manufacturing, and advances in robotics among others. The contents of this book are useful for academics as well as professionals working in the areas of industrial design, mechatronics, robotics, and automation.

This book describes the operations and industrial processes related to the production of advanced materials including ingot and powder metallurgy processing routes.

It outlines the deformation processing mechanisms inducing failure at both ambient and high temperatures. Further, it embodies practical knowledge and engineering mechanisms of traditional and unorthodox material disposal approaches, concurrently with gear cutting/ manufacturing and computer numerically controlled machining. The surface fusion of metals in the production of coatings via the process of laser cladding is also covered.

Features:

• Covers novel and multi-variety techniques of materials processing and manufacturing.
• Reports on the significant variables of the processes and basic operations of advanced materials.
• Discusses fundamental and engineering machining analysis.
• Includes novel fabrication of TiAl alloys using both powder and ingot metallurgy routes.
• Enables critical thinking through technical problem solving of local service manufacturers.

This book is aimed at researchers and graduate students in materials and manufacturing engineering.

This book discusses and exchanges information on principles, strategies, models, techniques, methodologies and applications of technological challenges in a digital era. It helps the reader to develop the skills required in the digital age and to acquire the knowledge and know-how necessary to drive their organizations to success. This book presents contributions that are exceptional in terms of theory and/or practice in the area of human resources management, technological management, digital age, creativity, technological innovation, organizational innovation, business analytics and flexibility.

This book presents the proceedings of CIDIN and COPINAVAL. The papers present the development of the navy, maritime and riverine industry, contributing to the scientific and technological progress and development in the sector. In 2019 the congresses occurred in Cartagena, Colombia, a reference for science and technology innovation for Latin-American naval industry.

This book presents a systematic approach to the management of physical assets from concept to disposal, building upon the previous editions and brought up-to-date with the new international standards ISO55002 and ISO/TS50010. It introduces the general principles of physical asset management and covers all stages of the asset management process, including initial business appraisal, identification of physical asset needs, capability gap analysis, financial evaluation, logistic support analysis, life cycle costing, strategic asset management planning, maintenance strategy, outsourcing, cost-benefit analysis, disposal and renewal. Features include: providing a textbook for asset management courses to university level; relating closely to the ISO55000 international asset management standard series; providing a basis for the establishment of physical asset management as a professional discipline; and presenting case studies, analytical techniques and numerical examples with solutions. Written for practitioners and students in asset management, this book provides an essential foundation to the topic. It is suitable for an advanced undergraduate or postgraduate course in asset management and also offers an ideal reference text for engineers and managers specializing in asset management, reliability, maintenance, logistics or systems engineering.

This book addresses Integrated Design Engineering (IDE), which represents a further development of Integrated Product Development (IPD) into an interdisciplinary model for both a human-centred and holistic product development. The book covers the systematic use of integrated, interdisciplinary, holistic and computer-aided strategies, methods and tools for the development of products and services, taking into account the entire product lifecycle. Being applicable to various kinds of products (manufactured, software, services, etc.), it helps readers to approach product development in a synthesised and integrated way. The book explains the basic principles of IDE and its practical application. IDE's usefulness has been demonstrated in case studies on actual industrial projects carried out by all book authors. A neutral methodology is supplied that allows the reader to choose the appropriate working practices and performance assessment techniques to develop their product quickly and efficiently. Given its manifold topics, the book offers a valuable reference guide for students in engineering, industrial design, economics and computer science, product developers and managers in industry, as well as industrial engineers and technicians.

This book includes the introduction of emerging manufacturing technologies and planning cases with established technologies. The planning of eco-efficient process chains is crucial for manufacturing companies. However, in the state-of-the-art planning, various barriers exist towards the integration of the environmental dimension. Against this background, a concept for the integration of classic lean and environmental criteria into the three planning phases of process chains is presented. During concept planning, the Technology Assessment Tool supports planners in the identification of eco-efficient technologies. During rough planning, the Value Stream Design Tool enables the derivation of a production line based on workpiece characteristics. For detailed planning, tools for eco-efficient machine and process chain configuration are provided. Three case studies from large-scale automotive component manufacturing with established and emerging technologies demonstrate the tool applicability.

Focuses on the latest research in the field of differential equations in engineering applications Discusses the most recent research findings that are occurring across different institutions Identifies the gaps in the knowledge of differential equations Presents the most fruitful areas for further research in advanced processes Offers the most forthcoming studies in modeling and simulation along with real-world case studies

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.