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Books > Professional & Technical > Mechanical engineering & materials > Production engineering
Engineering systems are an important element of world economy. Each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of engineering systems about the globe. The reliability and usability of these systems have become important because of their increasing complexity, sophistication, and non-specialist users. Global competition and other factors are forcing manufacturers to produce highly reliable and usable engineering systems. Along with examples and solutions, this book integrates engineering systems reliability and usability into a single volume for those individuals that directly or indirectly are concerned with these areas.
There are some very good books available that explain the Lean Manufacturing theory and touch on implementing its techniques. However, you cannot learn "how to be" lean from merely reading the theory. And to be successful in the real-work environment you need a clear comprehension of how lean techniques work, rather than just a remote understanding of what they are. You need to know what does and does not work in different situations. And you need the benefit of practical experience in their implementation.
Serving to unify the existing literature on extended warranties, maintenance service contracts and lease contracts, this book also presents a unique perspective on the topic focussed on cost analysis and decision-making from the perspectives of the parties involved. Using a game theoretic approach together with mathematical modelling, results are presented in an integrated manner with key topics that require further research highlighted in order to serve as a starting point for researchers (engineers and statisticians) who are interested in doing further work in these areas. Designed to assist practitioners (managers, engineers, applied statisticians) who are involved with extended warranties, maintenance service contracts and lease contracts, the book provides them with the models and techniques needed for proper cost analysis and effective decision-making, The book is also suitable for use as a reference text in industrial engineering, applied statistics, operations research and management.
This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2016, held on September 12 - 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.
Learn the project management skills you need to survive as an EH&S professional. This book presents a simple-to-use 18-step approach for effective project management. Each of the three phases are explained in detail, using case studies to illustrate the best tools to use and pitfalls to avoid. You'll learn how to identify project objectives and constraints, establish elements and resource needs, create project schedules, find ways to make up for lost time, monitor and measure progress, document the project, and more.
Thinking: A Guide to Systems Engineering Problem-Solving focuses upon articulating ways of thinking in today's world of systems and systems engineering. It also explores how the old masters made the advances they made, hundreds of years ago. Taken together, these considerations represent new ways of problem solving and new pathways to answers for modern times. Special areas of interest include types of intelligence, attributes of superior thinkers, systems architecting, corporate standouts, barriers to thinking, and innovative companies and universities. This book provides an overview of more than a dozen ways of thinking, to include: Inductive Thinking, Deductive Thinking, Reductionist Thinking, Out-of-the-Box Thinking, Systems Thinking, Design Thinking, Disruptive Thinking, Lateral Thinking, Critical Thinking, Fast and Slow Thinking, and Breakthrough Thinking. With these thinking skills, the reader is better able to tackle and solve new and varied types of problems. Features Proposes new approaches to problem solving for the systems engineer Compares as well as contrasts various types of Systems Thinking Articulates thinking attributes of the great masters as well as selected modern systems engineers Offers chapter by chapter thinking exercises for consideration and testing Suggests a "top dozen" for today's systems engineers
This volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil. The respective chapters address a range of timely topics in industrial engineering, including operations and process management, global operations, managerial economics, data science and stochastic optimization, logistics and supply chain management, quality management, product development, strategy and organizational engineering, knowledge and information management, work and human factors, sustainability, production engineering education, healthcare operations management, disaster management, and more. These topics broadly involve fields like operations, manufacturing, industrial and production engineering, and management. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike.
This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help readers grasp the concepts, and the solutions to the exercises and problems. Further, a table format is also used where relevant for better comparison of the ideas and formulae. The first part of the book introduces readers to the essentials of probability, including combinatorial analysis, conditional probability, and discrete and continuous random variable. The second part then covers fundamental stochastic processes, including point, counting, renewal and regenerative processes, the Poisson process, Markov chains, queuing models and reliability theory. Primarily intended for undergraduate engineering students, it is also useful for graduate-level students wanting to refresh their knowledge of the basics of probability and stochastic processes.
Companies all over the world try their best to improve their business by implementing efforts such as Six Sigma, Lean Manufacturing, or a combination of the two methodologies. Logic would tell you that these two methods would be the right approach because you would have an improvement method that, through Lean, reduces waste and make value flow, while Six Sigma reduces and controls variation. If this were true, then why is it that many of these initiatives simply aren't delivering quantifiable bottom-line results? After having studied many of these on-going improvement efforts, the author believes that these efforts are missing an important focusing mechanism. That is, most of these improvement efforts attempt to improve "everything" rather than finding that key part of the system that should be assessed and improved, the constraining factor, and then focusing the improvement efforts there and only there. The hallmark of this book is how to first locate this constraining factor and then determine the best way to exploit it to generate extreme profits, radically improve on-time delivery of products or services and increase market share by outperforming your competition at rates you never expected possible. How do we do this? By combining Lean and Six Sigma with the Theory of Constraints. This book demonstrates both the basics of improvement (i.e. results) with the "how to" (i.e. the methodology) in a very simple format that everyone within your organization will understand.
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."
This volume comprises select peer-reviewed contributions from the International Conference on Production and Industrial Engineering (CPIE) 2019. The contents focus on latest research in production and manufacturing engineering including case studies with analytical models and latest numerical approaches. The topics covered include micro, nano, and non-conventional machining, additive manufacturing, casting and forming, joining processes, vibrations and acoustics, materials and processing, product design and development, industrial automation, CAD/CAM and robotics, and sustainability in manufacturing. The book can be useful for students, researchers, and professionals working in manufacturing and production engineering, and other allied fields.
This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations. Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book. Features: Creates understanding of the costs associated with complex systems Covers reliability measurement of engineering systems Incorporates an efficient effort-based expenditure policy incorporating cost and reliability criteria Provides information for optimal testing stop and release time of software system Presents software performance and security layout Addresses reliability prediction and its maintenance through advanced analytics techniques Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.
This new volume explores recent research on advanced technologies and methods in production engineering, emphasizing effective overall process control and enhanced optimization. The authors include real-life case studies on advanced machining methods, traditional manufacturing technologies, advanced composite materials, processing with hybrid manufacturing techniques, various joining processes and their applications, micro-structure analysis, and more.
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.
"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.
This book presents the select proceedings of the International Conference on Recent Advances in Manufacturing (RAM 2020). This volume, in particular, provides insights into current research trends and opportunities within the manufacturing processes domain such as conventional and unconventional manufacturing, micro and nano manufacturing, chemical and biochemical manufacturing, and computer-integrated manufacturing (CIM). The topics covered include emerging areas of the fourth industrial revolution such as additive manufacturing, sustainable and energy-efficient manufacturing, smart manufacturing, artificial intelligence in manufacturing application, and computer-integrated manufacturing. This book will be useful for to researchers and practitioners alike.
This book serves a unique purpose within the world of engineering. It covers the economics of modern manufacturing and focuses on examining the techniques and methods from a cost perspective. It can be used by both students and professionals alike. The book is useful to students in industrial engineering and mechanical engineering programs as a primary textbook for engineering economy, production costing, and related courses. It can also be used by MBA students specializing in production management and finance. Specific topics of coverage include the computation of direct and indirect cost for manufacturing operations, including a variety of overhead operations in such an environment. Costing of manufacturing methods such as casting, forging, turning, milling, and welding is addressed along with inventory analysis. The book also includes fundamental concepts such as cash flow analysis, present and future worth analysis, and rate of return analysis. Related topics such as equipment replacement, comparison of alternatives, depreciation, buy versus make decisions, interest factors, and equivalence are covered in detail as well. Key Features: Addresses the costing of manufacturing operations through a step-by-step problem solving approach. Includes traditional engineering topics such as cash flow analysis, present worth, future worth analysis, replacement analysis, equivalence, and depreciation are addressed in depth as well. Offers a variety of solved examples that can be used to develop a thorough understanding of the underlying concept. Provides a number of practice problems at the end of each chapter. Presents a large number of figures and tables in almost every chapter, to assist in visualizing the concept and apply it successfully. Production Economics: Evaluating Costs of Operations in Manufacturing and Service Industries focuses on rigorous problem solving. Each topic is presented succinctly along with numerous solved examples, along with a large number of end-of-chapter practice problems where applicable.
Cold formed structural members are being used more widely in
routine structural design as the world steel industry moves from
the production of hot-rolled section and plate to coil and strip,
often with galvanised and/or painted coatings. Steel in this form
is more easily delivered from the steel mill to the manufacturing
plant where it is usually cold-rolled into open and closed section
members.
Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets specifically related to problems encountered in manufacturing -Discussing the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification -Showing how to custom design wavelets for improved performance in signal analysis Focusing on wavelet transform as a tool specifically applied and designed for applications in manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.
Many chemists - especially those most brilliant in their field - fail to appreciate the power of planned experimentation. They dislike the mathematical aspects of statistical analysis. In addition, these otherwise very capable chemists also dismissed predictive models based only on empirical data. Ironically, in the hands of subject matter experts like these elite chemists, the statistical methods of mixture design and analysis provide the means for rapidly converging on optimal compositions. What differentiates Formulation Simplified from the standard statistical texts on mixture design is that the authors make the topic relatively easy and fun to read. They provide a whole new collection of insighful original studies that illustrate the essentials of mixture design and analysis. Solid industrial examples are offered as problems at the end of many chapters for those who are serious about trying new tools on their own. Statistical software to do the computations can be freely accessed via a web site developed in support of this book.
This book focuses on structural characterisation techniques for porous materials. Covering a range of techniques, including gas sorption, mercury porosimetry, thermoporometry, NMR and imaging methods, this practical guide presents the basic theory behind each characterisation technique, and discusses the practicalities of the experimental and data analysis approaches needed for complex industrial samples. The book shows readers how to approach characterising a particular sort of material for the first time and then how to develop a strategy for more in-depth analysis. It also demonstrates how to determine the best techniques for solving particular problems, and describes methods of obtaining the required information, as well as the limitations of various methods. It particularly highlights a scientific approach involving parameter validation and simple acquisition. Featuring examples taken from case studies of real-world industrial materials, this book is intended for industrial practitioners and researchers. It provides a manual of potential techniques and answers questions concerning porous materials that arise in areas such as the catalyst industry, the oil and gas sector, batteries, fuel cells, tissue engineering scaffolds and drug delivery devices.
Achieving a long-term acceptable level of manufacturing profitability through productivity requires the total commitment of management teams and all staff in any manufacturing company and beyond. Awareness and continuous improvement of manufacturing costs behind losses and waste is the core goal of the Manufacturing Cost Policy Deployment (MCPD). Achieving this goal will continually uncover the hidden reserves of profitability through a harmonious transformation of the manufacturing flow, coordinated by the continuous need to improve manufacturing costs. Setting annual targets and means for manufacturing costs improvement (more exactly for costs of losses and waste, and the exact fulfillment of these) requires mobilization of all people in the company to carry out systematic improvement activities (kaizen) and systemic improvement actions (kaikaku) of the processes of each product family cost. The MCPD system was born out of careful observation of the challenges, principles, and phenomena of manufacturing companies and the profound discussions with the people in these companies at all levels. Manufacturing Cost Policy Deployment (MCPD) Transformation: Uncovering Hidden Reserves of Profitability is organized in three sections. The first section presents the concept and the need for an MCPD system from a managerial perspective. In the second section, the transformation of manufacturing companies through the MCPD system is presented, more precisely the details of the initial steps of the implementation of the MCPD, the three phases and the seven steps of the MCPD, and the elements necessary for a constant and consistent application of the MCPD. In the last section, there are two examples of the MCPD implementation in two different types of industries, namely, manufacturing and assembly industry and process industry, and two case studies for the improvement of manufacturing costs for each (cost of equipment setup loss, using kaizenshiro; replacement of bottleneck equipment and associated costs of losses, using kaikaku; cost of quality losses with improving operators' skills to sustain quality, using kaizen; and cost problem solving with the consumption of lubricants for one of the equipment, using A3).
This volume addresses a variety of issues on traffic safety policy, ranging from issues of climate change, urban equity, and transport safety, in a broad global and societal context, while retaining situation-specific details. Written by international experts on issues of transportation and traffic safety, it will be of special interest to advanced researchers in the engineering and planning disciplines working on these issues as well as policy makers concerned with setting up institutions and legislations for traffic safety.
The main purpose of this book is to present, in a unified approach, several algorithms for fixed point computation, convex feasibility and convex optimization in infinite dimensional Banach spaces, and for problems involving, eventually, infinitely many constraints. For instance, methods like the simultaneous projection algorithm for feasibility, the proximal point algorithm and the augmented Lagrangian algorithm are rigorously formulated and analyzed in this general setting and shown to be applicable to much wider classes of problems than previously known. For this purpose, a new basic concept, "total convexity", is introduced. Its properties are deeply explored, and a comprehensive theory is presented, bringing together previously unrelated ideas from Banach space geometry, finite dimensional convex optimization and functional analysis. For making a general approach possible the work aims to improve upon classical results like the Holder-Minkowsky inequality of p. This book should be of interest to both researchers in nonlinear analysis and to applied mathematicians dealing with numerical solution of integral equations, equilibrium problems, image reconstruction, and optimal control. |
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