This proceedings volume contains papers that have been selected after review for oral presentation at ROMANSY 2018, the 22nd CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators. These papers cover advances on several aspects of the wide field of Robotics as concerning Theory and Practice of Robots and Manipulators. ROMANSY 2018 is the 22nd event in a series that started in 1973 as one of the first conference activities in the world on Robotics. The first event was held at CISM (International Centre for Mechanical Science) in Udine, Italy on 5-8 September 1973. It was also the first topic conference of IFToMM (International Federation for the Promotion of Mechanism and Machine Science) and it was directed not only to the IFToMM community.

This book presents the proceedings of the first INCASE conference, organised by ARTC at A*STAR, Singapore. It provides a comprehensive review of recent advances in surface enhancement processes and strategies employed to assess their impact on materials properties and performance. As cyber-physical systems are becoming more and more relevant in manufacturing, it focuses on assessing the readiness of current technologies for future transformations, such as Industry 4.0, identifying the opportunities and challenges, and exploring ways to address them. Written by researchers, practising engineering and industry experts, the book bridges the gap between research and manufacturing, promoting technology adoption in industry and innovative ideas to prepare it for the future.

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders' attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system's ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.

This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on 7-8 November 2019 at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies.

This book covers a wide range of conventional and non-conventional machining processes of various composite materials, including polymer and metallic-based composites, nanostructured composites and green/natural composites. It presents state-of-the-art academic work and industrial developments in material fabrication, machining, modelling and applications, together with current practices and requirements for producing high-quality composite components. There are also dedicated chapters on physical properties and fabrication techniques of different composite material groups. The book also has chapters on health and safety considerations when machining composite materials and recycling composite materials. The contributors present machining composite materials in terms of operating conditions; cutting tools; appropriate machines; and typical damage patterns following machining operations. This book serves as a useful reference for manufacturing engineers, production supervisors, tooling engineers, planning and application engineers, and machine tool designers. It can also benefit final-year undergraduate and postgraduate students, as it provides comprehensive information on the machining of composite materials to produce high-quality final components. The book chapters were authored by experienced academics and researchers from four continents and nine countries including Canada, China, Egypt, India, Malaysia, Portugal, Singapore, United Kingdom and the USA.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

Process Plant Layout, Second Edition, explains the methodologies used by professional designers to layout process equipment and pipework, plots, plants, sites, and their corresponding environmental features in a safe, economical way. It is supported with tables of separation distances, rules of thumb, and codes of practice and standards. The book includes more than seventy-five case studies on what can go wrong when layout is not properly considered. Sean Moran has thoroughly rewritten and re-illustrated this book to reflect advances in technology and best practices, for example, changes in how designers balance layout density with cost, operability, and safety considerations. The content covers the 'why' underlying process design company guidelines, providing a firm foundation for career growth for process design engineers. It is ideal for process plant designers in contracting, consultancy, and for operating companies at all stages of their careers, and is also of importance for operations and maintenance staff involved with a new build, guiding them through plot plan reviews.

This book offers a systematic literature review and a set of empirical studies on supply chain integration. Supply chain management is recognized as an essential means for firms to achieve competitive advantages, in which supply chain integration is regarded as the core for operational excellence: shorter lead time, lower inventory, faster delivery, and higher product and service quality. Using data from an international survey of manufacturing firms, an interrelated set of studies that investigate supply chain integration from different perspectives at multiple levels are conducted. Intra-organizational factors such as products, production systems, and socio-technical systems are examined to understand their effects on supply chain integration, indicating that firms need to implement different types of supply chain integration for specific competitive priorities. Then, the outcomes of supply chain integration, including its impact on risk management and sustainability management, are investigated from an inter-organizational perspective. The firm is embedded in a manufacturing network, a global supply chain, or both, and it can use supply chain integration as a strategic action for risks. Sustainability has been a vital issue for manufacturers, and supply chain integration can enhance its success. This book makes significant contributions to the relevant literature on supply chain integration and offers insights to supply chain managers in manufacturing industries.

Features Includes insight questions to support class discussion Written in broadly non-mathematical terms, designed to be accessible to any level of student or practicing AP to read, understand, and implement the concepts Each section introduces the ideas through real-life case studies

"Electrical Machines "primarily covers the basic functionality and the role of electrical machines in their typical applications. The effort of applying coordinate transforms is justified by obtaining a more intuitive, concise and easy-to-use model.

In this textbook, mathematics is reducedto a necessary minimum, and priority is given to bringing up the system view and explaining the use and external characteristics of machines on their electrical and mechanical ports. Covering the most relevant concepts relating to machine size, torque and power, the author explains the losses and secondary effects, outlining cases and conditions in which some secondary phenomena are neglected.

While the goal of developing and using machine mathematical models, equivalent circuits and mechanical characteristics persists through the book, the focus is kept on physical insight of electromechanical conversion process. Details such as the slot shape and the disposition of permanent magnets and their effects on the machine parameters and performance are also covered."

The subject for this book is my life work on the enterprise modeling and integration by a stochastic/queuing form, and the book plan was conceived before my stay in the USA in 1996-97 as a visiting scholar. The rst title was "Stochastic Management and Design of Manufacturing Systems." The rst version was attempted in 2001; however, this version was inappropriate and was not revised till now. It is 40 years since I attempted a stochastic approach to manufacturing and management due to the limitations of statistical approaches. The century in which industrial engineering and management rose to the forefront was one in which a static/statistical approach was applied to the development of classical models and general/average theory. This book presents a stochastic management approach to the manufacturing and service enterprise with risks by a game/strategic view, and is based on many papers in production/queueing studies that have appeared in famous journals. The book's objective is to discuss and show the goals and constraints on manufacturing and service enterprises, and to provide a strategic/collaborative solution for management with risks in heterogeneity. This book mainly focuses on the three manufacturing classes: continuous, poi- wise, and exible stream types under risks. These manufacturing streams are rst studied using the respective stochastic processes, and are characterized and dev- oped as a queueing/strategic control problem of look-ahead/buffer, selection/swit- over, and arrangement/routings. Moreover, the behaviors of some design/control variables are shown and useful theories for design are established.

Advances in Design examines recent advances and innovations in product design paradigms, methods, tools and applications. It presents fifty-two selected papers which were presented at the 14th CIRP International Design Seminar held in May 2004 as well as the invited keynote papers. Dr. Waguih ElMaraghy was the conference Chair and Dr. Hoda ElMaraghy was on the program committee. The International Institution for Production Research (CIRP), founded in 1951, is the top production engineering research college worldwide. The CIRP is subdivided into Scientific and Technical Committees (STCs) which are responsible for coordinating cutting-edge research as well as holding highly regarded annual international seminars to disseminate the results. The CIRP Design STC meeting is the forum in which the latest developments in the design field are presented and discussed.

The book gives a broad overview of the Internet of Things (IoT) concept from various angles. The book provides rationale for: the concept development; its regulatory and technical background associated aspects such as the ambient and edge intelligence; fog computing; capillary networks and machine-type communications; etc. Each of these items is then extended in further respective chapters that deal with technicalities behind them. Chapters: 2-5, 8, 10-11 are addressed to those who seek expository IoT-related information on aspects such as the pathloss calculation, narrowband radio interfaces, radiation masks, spectrum matters, medium access control, and a transmission frame construction. That section ends with an exhaustive description of the six most popular IoT systems: LoRa, Weightless, SigFox, NB-IoT, LTE-M(TC) and EC-GSM IoT. Specialists and network designers may find chapters 6 and 7 interesting where a novel methodology is proposed for testing narrowband IoT systems performance for immunity to electromagnetic interference (EMI) and multipath propagation, both emulated in artificial conditions of the anechoic and the reverberation chamber.

Striking a balance between state-of-the-art research and practical applications, this book provides a forum for contributions that cover the main research challenges in the cyclic modeling, development, and validation of concurrently acting distributed production systems: systems that employ multi-assortment production in large quantities, are characterized by gradual changes in their product mix, and exclusively manufacture products in a cyclic manner. Similar issues also arise in computer systems, e.g., embedded systems. Cyclic optimization problems that occur in them are unique and under-researched, but are attracting new interest primarily due to their great practical importance and the difficulty involved in obtaining efficient algorithms for solving specific cases with real constraints arising from manufacturing practice. Addressing these and other topics, the book will be of great interest to researchers in computer science, operations management, and production control, as well as practicing managers and engineers.

This book presents new findings in industrial cyber-physical system design and control for various domains, as well as their social and economic impacts on society. Industry 4.0 requires new approaches in the context of secure connections, control, and maintenance of cyber-physical systems as well as enhancing their interaction with humans. The book focuses on open issues of cyber-physical system control and its usage, discussing implemented breakthrough systems, models, programs, and methods that could be used in industrial processes for the control, condition assessment, diagnostics, prognostication, and proactive maintenance of cyber-physical systems. Further, it addresses the topic of ensuring the cybersecurity of industrial cyber-physical systems and proposes new, reliable solutions. The authors also examine the impact of university courses on the performance of industrial complexes, and the organization of education for the development of cyber-physical systems. The book is intended for practitioners, enterprise representatives, scientists, students, and Ph.D. and master's students conducting research in the area of cyber-physical system development and implementation in various domains.

This introductory book describes the initial (first) level of studying the theory of inventive problem solving (TRIZ) from the series "TRIZ from A to Z," and presents the most general methods for solving inventive problems and generating new ideas. Chapter 1 examines traditional technologies for problem solving, based on trial and error. Chapter 2 describes the general concept of TRIZ, while Chapter 3 explains the main notions of "system" approaches, like system thinking, system and its hierarchy, system effect, emergency, synergetic effect and systematicity. In turn, Chapter 4 describes the notion of "ideality" and Chapter 5 addresses the notion of resources, their types, and methods for using them. Chapter 6 acquaints readers with one of the most important aspects of TRIZ: contradiction. Chapter 7 describes the inventive principles, while Chapter 8 includes descriptions of the systems of trends proposed by G. Altshuller and the author. In closing, the author makes recommendations on how to most effectively use TRIZ tools, on how readers can improve their knowledge, skills and habits concerning the use of TRIZ, and on how they can hone their inventive thinking skills. The book also features Appendices that include analyses of selected problems, a list of the main websites related to TRIZ, and lists of examples, problems, illustrations, tables and formulae.

This book constitutes the refereed proceedings of the 7th European Lean Educator Conference ELEC 2021, hosted in Trondheim, Norway, in October 2021 and sponsored by IFIP WG 5.7. The conference was held virtually. The 42 full papers presented were carefully reviewed and selected from 82 submissions. They are organized in the following thematic sections: Learning Lean; Teaching Lean in the Digital Era; Lean and Digital; Lean 4.0; Lean Management; Lean Coaching and Mentoring; Skills and Knowledge Management; Productivity and Performance Improvement; New Perspectives of Lean.

This book presents the proceedings of the 4th International Manufacturing Engineering Conference and 5th Asia Pacific Conference on Manufacturing Systems (iMEC-APCOMS 2019), held in Putrajaya, Malaysia, on 21-22 August 2019. Covering scientific research in the field of manufacturing engineering, with focuses on industrial engineering, materials, processes, the book appeals to researchers, academics, scientists, students, engineers and practitioners who are interested in the latest developments and applications related to manufacturing engineering.

The current perspectives of smart and sustainable manufacturing systems hold important implications for current practices and understanding these concepts for further implications. This comprehensive reference text discusses both centralized and decentralized production systems, using variety of new cutting-edge approaches to solve the problem. The text covers simulation-based approaches including social network-based approaches, discrete event-based approaches, and knowledge based for smart and sustainable systems. It further covers mathematical models such as single-objective, multi-objective, and many-objective. The text discusses important topics including energy efficiency, transportation constrains for efficient and effective production, meta-heuristic and hybrid algorithms, and real-time monitoring and analysis for smart and sustainable production. This book- * Presents approaches to improve the objectives of sustain-ability and smart production systems. * Discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT) concepts and its implementation for production systems. * Covers social network analysis method in distributed manufacturing systems. * Examines reckoning prognostics and diagnostics to monitor the health of the systems in perspective of distributed manufacturing. * Discusses aspects of Industry 4.0 in specific production systems. The text will be useful for graduate students and professional in the fields of mechanical engineering, production engineering, industrial engineering, and manufacturing.

This book deals with critical infrastructure safety analysis based on reliability modelling of multistate ageing system. It shows how changes of the operation process as well as climate-weather changes in the operating area of the critical infrastructure do influence the safety parameters of its assets. Building upon previous authors' research, the book formulates an integrated modeling approach where the multistate critical infrastructure safety model is combined with semi-Markov models for its operation process and for the climate-weather change process. This approach is shown to be successful in determining basic critical infrastructure safety, risk and resilience indicators, regardless of the number of assets and the number of their safety states. Besides the theory, the book reports on a successful application to the safety analysis of a real critical infrastructure, such as a port oil terminal. All in all, this book proposes a comprehensive and timely review of cutting-edge mathematical methods for safety identification, prediction and evaluation of critical infrastructures. It demonstrates that these methods can be applied in practice for analyzing safety of critical infrastructure under time-varying operation and climate-weather change processes.

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 provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision-making in the IIoT enterprise. The book starts by defining an IIoT enterprise and the framework used to efficiently operate. A description of the concepts of industrial analytics, which is a major engine for decision making in the IIoT enterprise, is provided. It then discusses how data and machine learning (ML) play an important role in increasing the competitiveness of industrial enterprises that operate using the IIoT technology and business concepts. Real world examples of data driven IIoT enterprises and various business models are presented and a discussion on how the use of ML and data science help address complex decision-making problems and generate new job opportunities. The book presents in an easy-to-understand manner how ML algorithms work and operate on data generated in the IIoT enterprise. Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects.

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.

The inspection process is one of the most important steps in manufacturing industries because it safeguards high quality products and customer satisfaction. Manual inspection may not provide the desired accuracy. This book introduces and implements a new methodology and develops the supporting technologies for automated inspection planning based on Computer Aided Design (CAD) models. It also provides and implements an efficient link for automated operation based on Coordinate Measuring Machine (CMM). The link's output is a DMIS code programming file based on the inspection planning table that is executed on CMM.