This book consists of peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM 2021). Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies and at the same time improve its sustainability by reducing its environmental impact. Relevant themes and topics include sustainable design, innovation and services; sustainable manufacturing processes and technology; sustainable manufacturing systems and enterprises; and decision support for sustainability. Application areas are wide and varied. The book will provide an excellent overview of the latest developments in the sustainable design and manufacturing area.

This book focuses on open issues of new intelligent control paradigms and their usage. Industry 4.0 requires new approaches in the context of secure connection, control, and maintenance of robotic systems, as well as enhancing their interaction with humans. The book presents recent advances in industrial robotics, and robotic design and modeling for various domains, and discusses the methodological foundations of the collaborative robotics concept as a breakthrough in modern industrial technologies. It also describes the implementation of multi-agent models, programs and methods that could be used in future processes for control, condition assessment, diagnostics, prognostication, and proactive maintenance. Further, the book addresses the issue of ensuring the space robotics systems and proposes reliable novel solutions. The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges. The book is intended for practitioners and enterprise representatives, as well as scientists and Ph.D. and Master's students pursuing research in the area of cyber-physical system development and implementation in various domains.

This book gathers the peer-reviewed papers presented at the seventh edition of the international workshop "Service Orientation in Holonic and Multi-Agent Manufacturing - SOHOMA'17", held on October 19-20, 2017 and organized by the University of Nantes, France in collaboration with the CIMR Research Centre in Computer Integrated Manufacturing and Robotics at the University Politehnica of Bucharest, Romania, the LAMIH Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science at the University of Valenciennes and Hainaut-Cambresis, France and the CRAN Research Centre for Automatic Control, Nancy at the University of Lorraine, France. The main objective of SOHOMA'17 was to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions addressing trends in service orientation of agent-based control technologies with distributed intelligence. The book is organized in eight parts, each with a number of chapters describing research in current domains of the digital transformation in manufacturing and trends in future service and computing oriented manufacturing control: Part 1: Advanced Manufacturing Control, Part 2: Big Data Management, Part 3: Cyber-Physical Production Systems, Part 4: Cloud- and Cyber-Physical Systems for Smart and Sustainable Manufacturing, Part 5: Simulation for Physical Internet and Intelligent & Sustainable Logistics Systems, Part 6: Formal Methods and Advanced Scheduling for Future Industrial Systems, Part 7: Applications and Demonstrators, Part 8: Production and Logistic Control Systems. The contributions focus on how the digital transformation, such as the one advocated by "Industry 4.0" or "Industry of the future" concepts, can improve the maintainability and the sustainability of manufacturing processes, products, and logistics. Digital transformation relates to the interaction between the physical and informational worlds and is realized by virtualization of products, processes and resources managed as services.

This book examines the problem of managing the flow of materials into, through, and out of a system in order to improve the efficiency and effectiveness of materials management. The subject is crucial for global competitive advantage, as materials constitute the largest single cost factor in manufacturing and service, and their effective management enhances value for money. In this context, inventory is a barometer of materials management effectiveness, along with wastage of materials.
The book adopts a comprehensive, integrated systems approach and covers almost all aspects of materials, considering the specification, procurement, storage, handling, issue, use and accounting of materials to get the most out of every dollar invested. Combining conceptual clarity and quantitative rigor, it will be a highly useful guide for practicing managers, academics and researchers in this vital functional area.

With coverage of a broad range of key engineering materials, this book provides a single, comprehensive book summarizing all aspects involved in the functional materials production chain. It introduces state-of-the-art technology in key engineering materials, emphasizing the rapidly growing technologies. It takes a unique approach by presenting specific materials, then progresses into a discussion of the ways in which these novel materials and processes are integrated into today's functioning manufacturing industry. The book follows a more quantitative and design-oriented approach than other texts in the market, helping readers gain a better understanding of important concepts. They'll also discover how material properties relate to the process variables in a given process as well as how to perform quantitative engineering analysis of manufacturing processes.

This book provides innovative chapters on the growth of educational, scientific, and industrial research activities among chemists, biologists, and polymer and chemical engineers and provides a medium for mutual communication between international academia and the industry. It presents significant research and reviews reporting new methodologies and important applications in the fields of industrial chemistry, industrial polymers and biotechnology as well as includes the latest coverage of chemical databases and the development of new computational methods and efficient algorithms for chemical software and polymer engineering.

This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector.

On the one side, Industrial competitiveness today means shorter product lifecycles, increased product variety, and shorter times to market and customized tangible products and services. To face these challenges, the manufacturing industry is forced to move from traditional management, control, and automation approaches towards industrial cyber-physical systems. On the other side, several emergent engineering approaches and related Information-Communication-Control-Technologies, such as Multi-Agent-Systems, Service-Oriented Architecture, Plug-and-Produce Systems, Cloud and Fog Technologies, Big Data and Analytics, among others, have been researched during the last years. The confluence of those results with the latest developments in Industrial Digitalization, Systems-of-Cyber-Physical-Systems Engineering, Internet-of-Things, Internet-of-Services, and Industry 4.0 is opening a new broad spectrum of innovation possibilities. The PERFoRM (Production-harmonizEd-Reconfiguration of Flexible Robots and Machinery) approach is one of them. It teaches the reader what it means when production machines and systems are digitalized and migrated into Industrial Cyber-Physical Systems and what happens when they are networked and start collaborating with each other and with the human, using the internet. After a Technology Trend Screening and beyond a comprehensive state-of-the-art analysis about Industrial Digitalization and Industry 4.0-compliant solutions, the book introduces methods, architectures, and technologies applicable in real industrial use cases, explained for a broad audience of researchers, practitioners, and industrialists.

This book summarizes the results of experimental work on the development of technologies for the manufacture of sour service line pipe steels. It presents the latest theories on the mechanisms of cracking and factors affecting fracture resistance in H2S-containing media of low-alloy pipe steels. The authors propose methods for improving the quality of continuously cast slabs and show the effect of the chemical composition on the microstructure and properties of rolled plates for pipes. Considerable attention is paid to the metallurgical aspects of microstructure formation and its mechanical properties, as well as the enhancement and cracking resistance of sour service sheets under thermomechanical rolling with accelerated cooling. In brief, the book presents a cutting-edge overview of sour service sheet and pipe production.

This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.

Presents Total Manufacturing Assurance (TMA) as a holistic approach to manufacturing operations Focuses on analytics and performance assessment, along with Industry 4.0 and its role in advanced manufacturing, strategic planning, Innovation and engineering economics, as well as manufacturing processes, materials, and operations. It also covers product and manufacturing system reliability, maintainability, availability, quality, and safety, financial issues in decision making and engineering analysis Offers a case study for each chapter highlighting key TMA connections all with the same structure of overview, issue, objective, approach, results, and conclusion Discusses management and engineering techniques and tools, and their practical implementation, required to achieve TMA Expands on integrating fundamental manufacturing, engineering, and management topics, which are key in achieving TMA PowerPoint slides and a solutions manual are available to instructors for course adoptions.

This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.

To understand what we know and be aware of what is to be known is a necessary approach to treating CAD/CAM issues. The challenge for all of us interested in CAD/CAM and engineering data handling is to under stand what we know and what we need to know about today's and tomorrow's technology, to track the explosive development of our field and its broadening range of applications, to sort through the details which compete for our attention, and to perceive underlying trends. A key development in the past year was the rapid and widespread acceptance by all user segments of personal computer-based CAD/CAM workstations, coupled with widespread use of software packages, both those developed for PC-based workstations and others converted from main frame and mini systems for use on PC-based or 32-bit workstations. If this trend continues for a few more years, as much as 900/0 of all design work may be accomplished on advanced versions of PC-based workstations. Many software systems vendors unknown until recently to the PC-based CAD/CAM community have now come to dominate the market-companies such as Autodesk, Chessell-Robocom, Future Net, T&W Systems, P-CAD, Cascade, 4-D Graphics, CADAM, Wang & Hornbuckle, and more than 20 other companies who sell PC-based CAD/CAM software."

This book presents the first-ever comprehensive analysis of ASEAN space development programs. Written by prominent actors in the region, it goes beyond a mere expose of the history, current status and future plans of ASEAN space technology development and utilization programs, by analyzing the conditions in which a space program can be initiated in the region. It does so in two ways: on the one hand, it questions the relevance of and motivations behind the inception of space development programs in developing countries, and on the other hand, it focuses on the very specific context of ASEAN (a highly disaster-prone area shaped by unique political alliances with a distinctive geopolitical ecosystem and enormous economic potential, etc.). Last but not least, after having analyzed established and emerging space programs in the region, it provides concrete recommendations for any regional or extra-regional developing nation eager to gain a foothold in space. As such, this book offers a valuable resource for researchers and engineers in the field of space technology, as well as for space agencies and government policymakers.

Remanufacturing and Advanced Machining Processes for Materials and Components presents current and emerging techniques for machining of new materials and restoration of components, as well as surface engineering methods aimed at prolonging the life of industrial systems. It examines contemporary machining processes for new materials, methods of protection and restoration of components, and smart machining processes. * Details a variety of advanced machining processes, new materials joining techniques, and methods to increase machining accuracy * Presents innovative methods for protection and restoration of components primarily from the perspective of remanufacturing and protective surface engineering * Discusses smart machining processes, including computer-integrated manufacturing and rapid prototyping, and smart materials * Provides a comprehensive summary of state-of-the-art in every section and a description of manufacturing methods * Describes the applications in recovery and enhancing purposes and identifies contemporary trends in industrial practice, emphasizing resource savings and performance prolongation for components and engineering systems The book is aimed at a range of readers, including graduate-level students, researchers, and engineers in mechanical, materials, and manufacturing engineering, especially those focused on resource savings, renovation, and failure prevention of components in engineering systems.

This book focus on the product design process. It follows a holistic approach covering conceptual design, design methodologies, sustainability, manufacturing, product analysis, materials, design and manufacturing technologies. The reader can find interesting cases about industrial design, 3D printing and 4D printing for wearables. The axiomatic design methodology is presented together with applications in machine learning and knowledge-based systems. Research about personalized fashion and professional uniform evaluations methods are included. Finally, the digital transformation, aesthetic design and the use of materials in orthopedic design is present.

Addresses the complete functional framework workflow in IoT technology Explores basic and high level concepts Provides data based intelligent and automated systems through Industrial IoT and its implications to the real world Discusses the major applications Presents an interdisciplinary platform

Offers fundamental theories and practical and more sophisticated applications of Evolutionary Computation in varied industries Provides insight into various platforms, paradigms, techniques, and tools used in Evolutionary Computation for diverse fields Presents an understanding related to optimization, performance tuning, virtualization, deployment models, and their applications Covers a variety of applications for social and essential models and is based on real life examples Useful for decision making based on optimized data through Evolutionary Computation in multi-dimensions

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world. The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

This book gathers selected papers from the Chinese Materials Conference 2018 (CMC2018) held in Xiamen City, Fujian, China, on July 12-16, 2018. The Chinese Materials Conference (CMC) is the Chinese Materials Research Society's most important conference series and has been held annually since the early 1990s. The 2018 edition consisted of 32 domestic symposia, 2 international symposia and 1 international materials forum. This proceedings book covers the fields of powder metallurgy, advanced aluminum alloys, advanced magnesium alloys, superalloys, metal matrix composites, space materials science and technology, as well as nanoporous metal materials, and presents recent original research findings from more than 300 research groups at various universities and research institutes.

Provides the basic concepts of process mining techniques for pattern recognition for readers to analyze, predict, forecast, and enhance the workflow of processes Covers the entire spectrum of process mining from process discovery to operational support Discusses several process mining techniques in the context of data science and big data Contains real-life applications and case studies related to process mining theories and practices Includes detailed examples, figures, and tables for easy understanding of concepts discussed

This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.

Provides a comprehensive review on new swarm intelligence Offers practical implementation of PSO with MATLAB code Presents statistical analysis techniques so that researchers can analyze their own experiment design Discusses swarm intelligence algorithms in social sector and oil and gas industries Covers recent findings and the implementation techniques to Machine Learning