Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management. this area.

This book investigates the microstructural and mechanical properties of titanium-tantalum (TiTa) alloy formed using selective laser melting (SLM). TiTa has potential orthopaedic biomedical applications thanks to its high strength to modulus ratio. However, because it is difficult to obtain, it is still not widely used. The book describes how SLM is utilized to form this alloy, and provides a better understanding of the SLM process in porous lattice structure fabrication and its control through statistical modelling.

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It's also useful for those who use Six Sigma techniques to improve the quality of products in such areas.

In recent years the situation of production enterprises has been aggravated by the change from a vendors' market to a buyers' market, the globaHsation of competition, a severe market segmentation and rapid progress in product and process technologies. Beside cost and quality, time has taken on an increasingly important role, forcing enterprises to become ever more dynamic and versatile. Therefore, in all areas of production management, novel, effective concepts, procedures and tools have been developed in order to meet these new requirements. But beyond these more technical, organisational and information technology related aspects there is certainly another one which has to be considered more closely than ever before, namely that of human resources. Is not group technology also related to group work? Do partners in a global network only operate according to predefined process schemes with no personal contact? Are the mental process models of the programmers of ERP-systems the same as those of the users? What is the impact of human behaviour and what consequences are to be expected if organisational and individual objectives are separated? And finally, how do necessary technological changes affect the workforce and the individual needs and wishes of the employees.

Low-volume high-variety products like personalized cars or customized engines will be the key issues for manufacturing in the 21st century. The necessary control technology is based on the concept of holons, which are the units of production and behave as autonomous and cooperative agents, providing flexibility, adaptability, agility, and dynamic reconfigurability. This book presents the latest research results in agent-based manufacturing as carried out by researchers in academia and industry within the international "Holonic Manufacturing Systems" project. As this project was driven by industry, the results presented here are of vital interest not just to researchers in agent technologies or distributed artificial intelligence, but also to engineers and professionals in industry who have to respond to rapid changes and new demands in production.

Warranty Data Collection and Analysis deals with warranty data collection and analysis and the problems associated with these activities. The book is a both a research monograph and a handbook for practitioners. As a research monograph, it unifies the literature on warranty data collection and analysis, and presents the important results in an integrated manner. In the process, it highlights topics that require further research. As a handbook, it provides the essential methodology needed by practitioners involved with warranty data collection and analysis, along with extensive references to further results. Models and techniques needed for proper and effective analysis of data are included, together with guidelines for their use in warranty management, product improvement, and new product development. Warranty Data Collection and Analysis will be of interest to researchers (engineers and statisticians) and practitioners (engineers, applied statisticians, and managers) involved with product warranty and reliability. It is also suitable for use as a reference text for graduate-level reliability programs in engineering, applied statistics, operations research, and management.

There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have been developed recently that link the discrete universe to the continuous universe through geomet ric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. As a result new ap proximate algorithms have been discovered and many new computational approaches have been developed. Similarly, for many continuous nonconvex optimization prob lems, new approximate algorithms have been developed based on semidefinite pro gramming and new randomization techniques. On the other hand, computational complexity, originating from the interactions between computer science and numeri cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable. The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions. A conference on Approximation and Complexity in Numerical Optimization: Con tinuous and Discrete Problems was held during February 28 to March 2, 1999 at the Center for Applied Optimization of the University of Florida."

The global crisis the automotive industry has slipped into over the second half of 2008 has set a fierce spotlight not only on which cars are the right ones to bring to the market but also on how these cars are developed. Be it OEMs developing new models, suppliers integerating themselves deeper into the development processes of different OEMs, analysts estimating economical risks and opportunities of automotive investments, or even governments creating and evaluating scenarios for financial aid for suffering automotive companies: At the end of the day, it is absolutely indispensable to comprehensively understand the processes of auto- tive development - the core subject of this book. Let's face it: More than a century after Carl Benz, Wilhelm Maybach and Gottlieb Daimler developed and produced their first motor vehicles, the overall concept of passenger cars has not changed much. Even though components have been considerably optimized since then, motor cars in the 21st century are still driven by combustion engines that transmit their propulsive power to the road s- face via gearboxes, transmission shafts and wheels, which together with spri- damper units allow driving stability and ride comfort. Vehicles are still navigated by means of a steering wheel that turns the front wheels, and the required control elements are still located on a dashboard in front of the driver who operates the car sitting in a seat.

Group Technology and Cellular Manufacturing (GT/CM) have been widely-researched areas in the past 15 years and much progress has been made in all branches of GT/CM. Resulting from this research activity has been a proliferation of techniques for part-machine grouping, engineering data bases, expert system-based design methods for identifying part families, new analytical and simulation tools for evaluating performance of cells, new types of cell incorporating robotics and flexible automation, team-based approaches for organizing the work force and much more; however, the field lacks a careful compilation of this research and its outcomes. The editors of this book have commissioned leading researchers and implementers to prepare specific treatments of topics for their special areas of expertise in this broad-based philosophy of manufacturing. The editors have sought to be global both in coverage of topic matters and contributors. Group Technology and Cellular Manufacturing addresses the needs and interests of three groups of individuals in the manufacturing field: academic researchers, industry practitioners, and students. (1) The book provides an up-to-date perspective, incorporating the advances made in GT/CM during the past 15 years. As a natural extension to this research, it synthesizes the latest industry practices and outcomes to guide research to greater real-world relevance. (2) The book makes clear the foundations of GT/CM from the core elements of new developments which are aimed at reducing developmental and manufacturing lead times, costs, and at improving business quality and performance. (3) Finally, the book can be used as a textbook for graduate students in engineering and management for studying the field of Group Technology and Cellular Manufacturing.

Search Theory is one of the original disciplines within the field of Operations Research. It deals with the problem faced by a Searcher who wishes to minimize the time required to find a hidden object, or "target. " The Searcher chooses a path in the "search space" and finds the target when he is sufficiently close to it. Traditionally, the target is assumed to have no motives of its own regarding when it is found; it is simply stationary and hidden according to a known distribution (e. g. , oil), or its motion is determined stochastically by known rules (e. g. , a fox in a forest). The problems dealt with in this book assume, on the contrary, that the "target" is an independent player of equal status to the Searcher, who cares about when he is found. We consider two possible motives of the target, and divide the book accordingly. Book I considers the zero-sum game that results when the target (here called the Hider) does not want to be found. Such problems have been called Search Games (with the "ze- sum" qualifier understood). Book II considers the opposite motive of the target, namely, that he wants to be found. In this case the Searcher and the Hider can be thought of as a team of agents (simply called Player I and Player II) with identical aims, and the coordination problem they jointly face is called the Rendezvous Search Problem.

While books on the medical applications of x-ray imaging exist, there is not one currently available that focuses on industrial applications. Full of color images that show clear spectrometry and rich with applications, X-Ray Imaging fills the need for a comprehensive work on modern industrial x-ray imaging. It reviews the fundamental science of x-ray imaging and addresses equipment and system configuration. Useful to a broad range of radiation imaging practitioners, the book looks at the rapid development and deployment of digital x-ray imaging system.

Petri Net Synthesis for Discrete Event Control of Manufacturing Systems develops two essential resource-sharing concepts: parallel and sequential mutual exclusions and theoretical results in Petri synthesis. A parallel mutual exclusion (PME) is defined to model a resource shared by independent distributed processes, and a sequential mutual exclusion is a sequential composition of PMEs, modeling a resource shared by sequentially-related processes. A hybrid synthesis methodology for Petri net models and controllers is proposed using top-down, modular, and bottom-up design ideas and the mutual exclusion theory. An aggregate Petri net model is refined by replacing places and /or transitions with basic design modules which are mathematically and graphically described. Petri net design methods are presented for such buffers as automatic storage and retrieval systems. Using the proposed method synthesizes both Petri net structure and feasible initial markings, guaranteeing that resulting Petri nets have desirable system properties such as freedom from deadlock and cyclic behavior. A Petri net controller is extended to error recovery for automated manufacturing systems. The theory can guarantee that the desired system properties achieved by the original design will be preserved when the controller is augmented to deal with an error in the prescribed methods. Control code has been directly generated from Petri net definitions. The algorithm and implementation details are given for a flexible manufacturing system. Using the approach presented in Petri Net Synthesis for Discrete Event Control of Manufacturing Systems, engineers and research workers can develop their own discrete event control applications and experiments.

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.

Today s automotive industry places high demands on the performance and flexibility of development strategies and tools. With constant need for reduction in cost and time for engineering-based development new engineering methods have to support a smart link between the working fields of project engineers, designers, simulation engineers, ergonomic specialists, stylists and all other involved parties. Currently, automotive development is driven by the interaction of virtual design and simulation methods in combination with physical development and testing procedures. The trend is definitely moving towards integrated virtual development which leads to intensified implementation and enhancement of integrated computer-aided design. The book starts with an overview of automotive development processes including a discussion of the manifold past and future requirements. Focusing on computer-aided design, a comprehensive overview of fundamentals in geometry representation gives keen insight into mathematical description and modeling techniques of geometrical elements. The generation and structuring of virtual product models within 3D-CAD environment by use of curve, surface and solid modeling is explained in detail and illustrated by various examples. On the basis of parametric geometry generation different methods and tools which are able to increase efficiency in automotive development are explained and compared. Complex assembling, as usual in automotive development, requires the composition and organization of multifarious product structures. This way, knowledge and engineering data management play an important role within the field. Combining the demands of integrated design processes and efficient data management, the application of knowledge based engineering data management is introduced and discussed. A selection of representative applications give insights into the complex interactions of computer-aided design, knowledge based engineering and data management. It is up to the engineers to tap the full potential of virtual product development, whereas the applied methods and strategies represent a key factor on the way to successful creation of new products. The book is directed, but not restricted, to professional project and design engineers as well as to students of the respective disciplines in mechanical engineering. At the same time it caters to whoever is interested in interactions of state of the art computer-aided development. It is up to the engineers to tap the full potential of virtual product development, whereas the applied methods and strategies represent a key factor on the way to successful creation of new products. The book is directed, but not restricted, to professional project and design engineers as well as to students of the respective disciplines in mechanical engineering. At the same time it caters to whoever is interested in interactions of state of the art computer-aided development.

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

This book discusses the latest developments in narrow fabrics from research institutions, machinery building companies and producers of such products, presented during the International Week of Narrow Fabrics in March 2016 in Moenchengladbach, Germany. It also demonstrates different applications of braided and woven fabrics. Braided and woven narrow products are produced using completely different techniques, but have a lot of similarities in their applications - they are used as belts, ropes and tubes in areas ranging from medical textiles, cables, technical and home applications to large-scale transport belts and long tubes for transporting oil from the bottom of the ocean.

Experts from academia and government who are actively engaged in research in the area of risk communication present a compendium of cases that give information and allow the development of strategies to improve the communication of scientific information to the public. The cases span Western, Central and Eastern Europe, covering such areas as nuclear waste, heavy metal contamination, landfill siting, risk perception, global warming, international health for all, and more. The conclusions and recommendations presented here are being used to develop future activities to further explore this area of risk communication as an international study. Audience: Scientists, risk communicators, psychologists, toxicologists, health professionals, and anyone who has an interest in public communication on scientific uncertainty.

This book deals with Web applications in product design and manufacture, thus filling an information gap in digital manufacturing in the Internet era. It helps both developers and users to appreciate the potentials, as well as difficulties, in developing and adopting Web applications. The objective is to equip potential users and practitioners of Web applications with a better appreciation of the technology. In addition, Web application developers and new researchers in this field will gain a clearer understanding of the selection of system architecture and design, development and implementation techniques, and deployment strategies. The book is divided into two main parts. The first part gives an overview of Web and Internet and the second explains eight typical Web applications.

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."

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.

This volume presents selected papers from the 7th International Congress on Computational Mechanics and Simulation held at IIT Mandi, India. The papers discuss the development of mathematical models representing physical phenomena and applying modern computing methods and simulations to analyse them. The studies cover recent advances in the fields of nano mechanics and biomechanics, simulations of multiscale and multiphysics problems, developments in solid mechanics and finite element method, advancements in computational fluid dynamics and transport phenomena, and applications of computational mechanics and techniques in emerging areas. The volume will be of interest to researchers and academics from civil engineering, mechanical engineering, aerospace engineering, materials engineering/science, physics, mathematics and other disciplines.

Industrial development is essential to improvement of the standard of living in all countries. People's health and the environment can be affected, directly or indirectly by routine waste discharges or by accidents. A series of recent major industrial accidents and the effect of pollution highlighted, once again, the need for better management of routine and accidental risks. Moreover, the existence of natural hazards complicate even more the situation in any given region. In the past effort to cope with these risks, if made at all, have been largely on a plant by plant basis; some plants are well equipped to manage environmental and health hazards, while others are not. Managing the hazards of modern technological systems has become a key activity in highly industrialised countries. Decision makers are often confronted with complex issues concerning economic and social development, industrialisation and associated infrastructure needs, population and land use planning. Such issues have to be addressed in such a way that ensures that public health will not be disrupted or substantially degraded. Due to the increasing complexity of technological systems and the higher geographical density of punctual hazard sources, new methodologies and a novel approach to these problems are challenging risk managers and regional planers. Risks from these new complex technological systems are inherently different form those addressed by the risk managers for decades ago.

The first volume of this handbook explores different aspects of sustainable luxury textiles and fashion, broadly based on the following topics: Sustainability and business management, Value chain management, Use of materials and Sustainable production processes.