This book introduces social manufacturing, the next generation manufacturing paradigm that covers product life cycle activities that deal with Internet-based organizational and interactive mechanisms under the context of socio-technical systems in the fields of industrial and production engineering. Like its subject, the book's approach is multi-disciplinary, including manufacturing systems, operations management, computational social sciences and information systems applications. It reports on the latest research findings regarding the social manufacturing paradigm, the architecture, configuration and execution of social manufacturing systems and more. Further, it describes the individual technologies enabled by social manufacturing for each topic, supported by case studies. The technologies discussed include manufacturing resource minimalization and their socialized reorganizations, blockchain models in cybersecurity, computing and decision-making, social business relationships and organizational networks, open product design, social sensors and extended cyber-physical systems, and social factory and inter-connections. This book helps engineers and managers in industry to practice social manufacturing, as well as offering a systematic reference resource for researchers in manufacturing. Students also benefit from the detailed discussions of the latest research and technologies that will have been put into practice by the time they graduate.

This book presents the proceedings of the 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2018), held in Belgrade, Serbia, on 5-7 June 2018, the latest in a series of high-level conferences that brings together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including, for example, design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and recent advances in manufacturing engineering and technologies, it aids the transfer of vital knowledge to the next generation of academics and practitioners. It appeals to anyone working or conducting research in this rapidly evolving field.

The proceedings brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11-12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

The aim of the book is to provide engineers with a practical guide to Finite Element Modelling (FEM) in Abaqus CAE software. The guide is in the form of step-by-step procedures concerning yarns, woven fabric and knitted fabrics modelling, as well as their contact with skin so that the simulation of haptic perception between textiles and skin can be provided. The specific modelling procedure will be proceeded by a theoretical background concerning mechanical characteristics of the modelled elements or phenomena. Models will be validated and discussed. In addition, virtual object tests results will be presented and compared to the outcome of the modelling process.

This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.

Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.

Featuring selected contributions from the 2nd International Conference on Mechatronics and Robotics Engineering, held in Nice, France, February 18-19, 2016, this book introduces recent advances and state-of-the-art technologies in the field of advanced intelligent manufacturing. This systematic and carefully detailed collection provides a valuable reference source for mechanical engineering researchers who want to learn about the latest developments in advanced manufacturing and automation, readers from industry seeking potential solutions for their own applications, and those involved in the robotics and mechatronics industry.

In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale. This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided tools, such as CADCAM, CAE, and ERP. This presented unified feature model can be applied to product and process representation, development, implementation and management. Practical case studies and test samples are provided to illustrate applications which can be implemented by the readers in real-world scenarios. By expanding on well-known feature-based design and manufacturing approach, Semantic Modeling and Interoperability in Product and Process Engineering provides a valuable reference for researchers, practitioners and students from both academia and engineering field.

Despite the numerous competitive advantages of one-of-a-kind production (OKP), the low efficiency and high costs associated with OKP companies threaten to push their business opportunities into the hands of cheaper overseas suppliers. One-of-a-Kind Production introduces a novel strategy and technology to help OKP companies to efficiently mass-produce customized products. In One-of-a-Kind Production, case studies from OKP companies are used to validate the feasibility and effectiveness of the OKP strategy and technology. These case studies include: a structural steel construction company, a manufacturer of specifically ordered compressors and refrigeration systems, a customized high pressure vessel manufacturing company, and a custom window and door manufacturer. To help readers understand OKP strategy and technology, the authors offer a year's free access to the OKP Management and Control Software System. This system is based on a new integrated production control and management concept, namely product production structure. It is a useful tool - and One-of-a-Kind Production is a valuable guide - for production engineers and managerial staff in manufacturing companies, as well as for university researchers and graduate students.

What are the design or selection criteria for robots that will be capable of carrying out particular functions? How can robots and machines be installed in work locations to obtain maximum effectiveness? How can their programming be made easier? How can a work location be arranged so as to accommodate successfully automatic machines? Traditionally, these questions have only been answered as a result of long and exhaustive study, involving complex calculations and the use of many sketches and plans. Computers and interactive computer graphics provide the possibility of automation for this type of analysis, thus making the task of robot designers and users easier. This volume is concerned with mathematical modelling and graphics representation of robot performance (eg their fields of action, their performance index) as a function of their structure, mechanical parts and memory systems. Used in conjunction with operating specifications, such as movement programs and computer-aided design (CAD) data bases that describe parts or tools, these perform ance models can allow the potential of different robots or different models of the same type of robot to be compared, workstations to be organized efficiently, responses to be optimized, errors to be minimized and can make off-line programming by computer a real possibility. In the future, it is certain that the appearance of robots designed to monitor their own performances will allow applications and safety conditions to be considerably improved."

Design and manufacturing is the essential element in any product development lifecycle. Industry vendors and users have been seeking a common language to be used for the entire product development lifecycle that can describe design, manufacturing and other data pertaining to the product. Many solutions were proposed, the most successful being the Stadndard for Exchange of Product model (STEP). STEP provides a mechanism that is capable of describing product data, independent from any particular system. The nature of this description makes it suitable not only for neutral file exchange, but also as a basis for implementing, sharing and archiving product databases. ISO 10303-AP203 is the first and perhaps the most successful AP developed to exchange design data between different CAD systems. Going from geometric data (as in AP203) to features (as in AP224) represents an important step towards having the right type of data in a STEP-based CAD/CAM system. Of particular significance is the publication of STEP-NC, as an extension of STEP to NC, utilising feature-based concepts for CNC machining purposes. The aim of this book is to provide a snapshot of the recent research outcomes and implementation cases in the field of design and manufacturing where STEP is used as the primary data representation protocol. The 20 chapters are contributed by authors from most of the top research teams in the world. These research teams are based in national research institutes, industries as well as universities.

This book constitutes the refereed proceedings of the 6th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2012, held in Chamonix, France, in February 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized into the following topical sections: micro processes and systems; handling and manipulation in assembly; tolerance management and error compensation methods; metrology and quality control; intelligent control of assembly systems; and process selection and modelling techniques.

With the increasing complexity and dynamism in today's product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.

Despite the numerous competitive advantages of one-of-a-kind production (OKP), the low efficiency and high costs associated with OKP companies threaten to push their business opportunities into the hands of cheaper overseas suppliers.

"One-of-a-Kind Production" introduces a novel strategy and technology to help OKP companies to efficiently mass-produce customized products. In "One-of-a-Kind Production, " case studies from OKP companies are used to validate the feasibility and effectiveness of the OKP strategy and technology. These case studies include: a structural steel construction company, a manufacturer of specifically ordered compressors and refrigeration systems, a customized high pressure vessel manufacturing company, anda custom window and door manufacturer.

To help readers understand OKP strategy and technology, the authors offer a year s free access to the OKP Management and Control Software System. This system is based on a new integrated production control and management concept, namely product production structure. It is a useful tool and "One-of-a-Kind Production" is a valuable guide for production engineers and managerial staff in manufacturing companies, as well as for university researchers and graduate students.

Time compression technologies such as rapid prototyping and manufacturing offer enormous potential benefits. Where time can be saved in the development of new or modified products, expenditure can also be reduced. Swifter development can also give a competitive edge to those using these techniques.

However there are a number of different systems and processes that can be used. Ensuring that the most appropriate rapid prototyping and manufacturing technology is applied to a problem is vital to the success of a project. The case studies, compiled by the experienced team of the Warwick Manufacturing Group at the University of Warwick in the UK, represent
a range of different real experiences drawn from a variety of industries, using a range of materials and processes.

CONTENTS INCLUDE: Overview of product design and developmentComputer-aided design and rapid prototypingThe introduction of CAD/CAM in the ceramics industryProduct design and development - reverse engineeringReducing the risk of new product development by utilizing rapid prototyping technologiesStress analysis using rapid prototyping techniquesCase studies in rapid prototyping and manufacturing techniques-flow visualization using rapid prototype modelsOverview of utilizing bureau facilitiesUsing bureau servicesRunning an internal rapid prototyping bureauOverview of rapid casting techniquesAn alternative route to metal components for prototype and low-volume productionRapid prototyping in pattern making and foundry applicationsRapid prototyping - enhancing product development
at Parker HannifinCast tooling with rapid prototype patternsOverview of rapid toolingThe role of rapid immediate production tooling (IPT) in new product developmentRapid tooling - cast resin and sprayed metal tooling.

Design and manufacturing is the essential element in any product development lifecycle. Industry vendors and users have been seeking a common language to be used for the entire product development lifecycle that can describe design, manufacturing and other data pertaining to the product. Many solutions were proposed, the most successful being the Stadndard for Exchange of Product model (STEP). STEP provides a mechanism that is capable of describing product data, independent from any particular system. The nature of this description makes it suitable not only for neutral file exchange, but also as a basis for implementing, sharing and archiving product databases. ISO 10303-AP203 is the first and perhaps the most successful AP developed to exchange design data between different CAD systems. Going from geometric data (as in AP203) to features (as in AP224) represents an important step towards having the right type of data in a STEP-based CAD/CAM system. Of particular significance is the publication of STEP-NC, as an extension of STEP to NC, utilising feature-based concepts for CNC machining purposes. The aim of this book is to provide a snapshot of the recent research outcomes and implementation cases in the field of design and manufacturing where STEP is used as the primary data representation protocol. The 20 chapters are contributed by authors from most of the top research teams in the world. These research teams are based in national research institutes, industries as well as universities.

ANEMONA is a multi-agent system (MAS) methodology for holonic manufacturing system (HMS) analysis and design. ANEMONA defines a mixed top-down and bottom-up development process, and provides HMS-specific guidelines to help designers identify and implement holons. The analysis phase is defined in two stages: System Requirements Analysis, and Holon Identification and Specification. This analysis provides high-level HMS specifications, adopting a top-down recursive approach which provides a set of elementary elements and assembling rules. The next stage is Holon Design, a bottom-up process to produce the system architecture from the analysis models. The Holons Implementation stage produces an Executable Code for the SetUp and Configuration stage. Finally, maintenances functions are executed in the Operation and Maintenance stage. The book will be of interest to researchers and students involved in artificial intelligence and software engineering, and manufacturing engineers in industry and academia.

This book contains the latest research on intelligent holonic execution. It presents a conceptual model for Holonic Manufacturing Execution that draws together research threads from both holonics and multi-agent systems. The book presents the model by mapping it onto two current BDI programming frameworks, and uses this for two separate implementations of an execution system for an industrial strength robotic assembly cell. This work also introduces the Team Programming paradigm.

Model-based fault detection and isolation requires a mathematical model of the system behaviour. Modelling is important and can be difficult because of the complexity of the monitored system and its control architecture. The authors use bond-graph modelling, a unified multi-energy domain modelling method, to build dynamic models of process engineering systems by composing hierarchically arranged sub-models of various commonly encountered process engineering devices. The structural and causal properties of bond-graph models are exploited for supervisory systems design.

The structural properties of a system, necessary for process control, are elegantly derived from bond-graph models by following the simple algorithms presented here. Additionally, structural analysis of the model augmented with available instrumentation indicates directly whether it is possible to detect and/or isolate faults in some specific sub-space of the process. Such analysis aids in the design and resource optimization of new supervision platforms.

Static and dynamic constraints, which link the time evolution of the known variables under normal operation, are evaluated in real time to determine faults in the system. Various decision or post-processing steps integral to the supervisory environment are discussed in this monograph; they are required to extract meaningful data from process state knowledge because of unavoidable process uncertainties. Process state knowledge has been further used to take active and passive fault accommodation measures.

Several applications to academic and small-scale-industrial processes are interwoven throughout. Finally, an application concerning development of asupervision platform for an industrial plant is presented with experimental validation.

Model-based Process Supervision provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data.

Information systems for manufacturing often follow a three-layer architecture based on an enterprise resource planning (ERP) layer (for order planning), a manufacturing execution system (MES) layer (for factory control), and a shop floor layer (for machine control). Future requirements on flexibility and adaptability require a much closer integration of ERP systems with the manufacturing floor. To achieve this integration, an MES often pushes customer orders to the manufacturing floor in a flexible manner. Moreover, a large amount of shop floor data needs to be filtered and fed into business planning applications such as production planning or supply chain management. Radio Frequency Identification (RFID) chips can play an important role in the collection and management of such data.

Gunther, Kletti, and Kubach explain the potential advantages of using RFID technology in a modern manufacturing and supply chain context. Areas of emphasis include integration of RFID data into legacy IT architectures, RFID-MES-ERP integration, and cost-benefit considerations. Their presentation is not restricted to intra-company production planning, but also emphasizes the benefits of inter-company collaboration. Six case studies based on SAP s ERP systems and MPDV s MES solution show how to successfully implement cross-company supply chain integration using RFID technology."

With increasingly complex manufacturing systems and processes, more intelligent and unique devices and machines are needed to support manufacturing operations. Smart Devices and Machines for Advanced Manufacturing presents a focused collection of quality chapters on the state of the art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The book can be viewed as consisting of two major sections, with the first section presenting a broad-based review of several key areas of research in smart devices and machines, whereas the second section is focused on presenting an in-depth treatment of a particular device or machine, from parallel kinematic mechanism to conventional robotic attachment. Smart Devices and Machines for Advanced Manufacturing will be of interest to a broad readership, from manufacturing and industrial engineers to researchers and postgraduates in computer-integrated manufacturing and computer-aided design and manufacturing.

Computer Aided Innovation (CAI) is a young domain, the goal of which is to support enterprises throughout the complete innovation process. This comprehensive book presents the most up-to-date research on CAI. It addresses the main motivations of the industrial sector regarding the engineering innovation activity with computer tools and methods. The book also discusses organizational, technological and cognitive aspects of the application of CAI methods and tools.

In todaya (TM)s competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service. As ERP and other information management systems have been widely implemented, information growth poses new challenges to decision makers in areas ranging from shop floor control to supply chain management and design.

Frontiers in Computing Technologies for Manufacturing Applications presents an overview of the state-of-the-art intelligent computing in manufacturing. Modelling, data processing, algorithms and computational analysis of difficult problems found in advanced manufacturing are discussed. It is the first book to bring together combinatorial optimization, information systems and fault diagnosis and monitoring in a consistent manner. Techniques are presented in order to aid decision makers needing to consider multiple, conflicting objectives in their decision processes. In particular, the use of metaheuristic optimization techniques for multi-objective problems is discussed. Readers will learn about computational technologies that can improve the performance of manufacturing systems ranging from manufacturing equipment to supply chains.

Frontiers in Computing Technologies for Manufacturing Applications will be of interest to students in industrial and mechanical engineering as well as information engineers needing practical examples for the successful integration of information in manufacturing applications. The book will also appeal to technical decision makers involved in production planning, logistics, supply chain, industrial ecology, manufacturing information systems, faultdiagnosis and monitoring.

One of the great challenges in flexible production and supply chains is the availability of necessary information at any time and place. Autonomous logistics processes can bring about fast and flexible adaptations to change. This book identifies autonomous logistics processes and details how they differ from conventionally managed processes. Coverage also describes the changes that autonomy will cause in order processing.