This book describes a new control design technique called Coefficient Diagram Method (CDM), whereby practical control engineers without deep control theories and mathematics background can design a good controller for their specific plants. In addition, control experts can solve some complicated design problems. Since the CDM was first introduced in 1998, it reveals from the literature that CDM has provided successful controller designs for a variety of practical control problems. In the last two decades, a great deal of research has been done on CDM, while a growing number of researchers want to learn and utilize the method. However, there has been no textbook to learn it systematically so far. This book is motivated by such a need. It is also suitable as a textbook or reference book for master programs in control engineering.

This handbook provides an insight into the advancements in surface engineering methods, addressing the microstructural features, properties, mechanisms of surface degradation failures, and tribological performance of the components. Emphasis is on laser cladding methods because by using laser cladding a new class of materials like nano-composites, nano-tubes, and smart materials can be easily deposited. Handbook of Laser-Based Sustainable Surface Modification and Manufacturing Techniques discusses the main mechanism behind the surface degradation of structural components in strenuous environments. It highlights the capacity of laser cladding to operate on a wide range of substrate materials and shapes as well as presents how laser cladding can offer new possibilities in the reconditioning of components and how in many cases, these approaches are the only solution for economical efficiency. The handbook illustrates how if the type of power of the laser, laser optics, and the parameters of the process are efficiently selected, the number of applications of laser cladding can be large. The standard methods of testing used for various types of biomedical devices and tools, as well as the advantages of combining laser cladding with simultaneous induction heating, are described as well within this handbook. Features: Discusses the main mechanism behind the surface degradation of structural components in strenuous environments Highlights the capacity of laser cladding needed to operate on a wide range of substrate materials and shapes Presents how laser cladding can offer new possibilities in the reconditioning of components and how in many cases, these approaches are the only possible solution and are economically efficient Illustrates how if the type and power of the laser, laser optics, and the parameters of the process are efficiently selected, the number of applications of laser cladding can be large Offers the standard methods of testing used for various types of biomedical devices and tools Goes over the advantages of combining laser cladding with simultaneous induction heating The technical outcomes of these surface engineering methods are helpful for academics, students, and professionals who are working in this field as this enlightens their understanding of the performance of these latest processes. The audience is broad and multidisciplinary.

This textbook presents the principal methods of stress analysis for the design of frame structures, beginning with a description of the basic criteria for probabilistic safety verification used in modern codes. The Force Method and the Displacement Method are dealt with, together with their applications to more common structural situations. A special chapter is dedicated to the second order analysis required for slender structures and for the elaboration of instability problems. In turn, a thorough set of numerical examples rounds out the text. Given its scope, the book offers an ideal learning resource for students of Civil and Building Engineering and Architecture, and a valuable reference guide for practicing structural design professionals.

Originally published in the USSR, Handbook of Reliability Engineering set the standard for the reliability testing of technical systems for nearly three generations of applied scientists and engineers. Authored by a group of prominent Soviet specialists in reliability, it provided professionals and students with the first comprehensive reference covering mathematical formulas and techniques for incorporating reliability into engineering designs and testing procedures for nearly three decades. Now, the Handbook's Russian editor, an internationally recognized reliability expert in his own right, has joined forces with a prominent American engineering professional to bring this indispensable resource to English-speaking audiences. Divided into three major parts, the Handbook details reliability fundamentals, examines common reliability problems and solutions, provides a collection of computation formulas and illustrates practical applications of the methods discussed in twenty-four self-contained chapters. Part One, Probabilistic Reliability, discusses equipment, renewable systems, repairable dual systems, asymptotic methods for very reliable repairable systems, systems with network structures, evaluation of system effectiveness, systems with time redundancy, queuing systems with unreliable service channels, and mechanical equipment. In Part Two, Statistical Reliability, the authors discuss estimation of equipment reliability from tests, acceptance-rejection tests, system confidence limits based on unit tests, acceptance-rejection test plans for complex systems, Bayesian reliability estimation, accelerated tests, reliability growth and Monte Carlo simulations. Part Three, Optimization, offers detailed coverage of optimal redundancy, optimal supply of spare parts, optimal control of inventories of spare parts, optimal maintenance, and optimal technical diagnosis. Each topic is introduced using simple, numerical examples readers can follow step-by-step. Appendices offer a review of probability, stochastic processes and mathematical statistics, standard mathematical formulas used in reliability, useful numerical tables as well as information about where readers can purchase reliability software to apply to their own work in engineering design, life prediction, and more. As reliability theory strengthens its already strong position in modern engineering, the Handbook of Reliability Engineering will continue to provide engineers, statisticians, operations research professionals, and students with one of the most comprehensive treatments of reliability topics in print.

This book presents a selection of papers from the industrial track of ISMIS 2020. The selection emphasizes broad applicability of artificial intelligence (AI) technologies in various industrial fields. The aim of the book is to fertilize preliminary ideas of readers on the application of AI by means of already successfully implemented application examples. Furthermore, the development of new ideas and concepts shall be motivated by the variety of different application examples. The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings. This broad spectrum gives readers working in the industrial as well as the academic field a good overview of the state of the art in the field of methodologies for intelligent systems.

This book offers an in-depth and systematic introduction to improved failure mode and effects analysis (FMEA) methods for proactive healthcare risk analysis. Healthcare risk management has become an increasingly important issue for hospitals and managers. As a prospective reliability analysis technique, FMEA has been widely used for identifying and eliminating known and potential failures in systems, designs, products or services. However, the traditional FMEA has a number of weaknesses when applied to healthcare risk management. This book provides valuable insights into useful FMEA methods and practical examples that can be considered when applying FMEA to enhance the reliability and safety of the healthcare system. This book is very interesting for practitioners and academics working in the fields of healthcare risk management, quality management, operational research, and management science and engineerin. It can be considered as the guiding document for how a healthcare organization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students.

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

This book sheds light on the development of the cold spray process in applications of additive manufacturing (AM) and repair/remanufacturing engineering. It covers the process fundamentals of different cold spray techniques, namely low pressure cold spray and high pressure cold spray process. Bonding mechanism and powder substrate interface are an important part of the book. The chapters present the recent developments in materials used in cold spraying for AM and various coating applications. The latest research in this area as well as possible avenues of future research are also highlighted as a way to encourage the researchers.

This book presents the proceedings of the International Conference on Health, Safety, Fire, Environment, and Allied Sciences. It highlights latest developments in the field of science and technology aimed at improving health and safety in the workplace. The volume comprises content from leading scientists, engineers, and policy makers discussing issues relating to industrial safety, fire hazards and their management in industry, forests and other settings. Also dealt with are issues of occupational health in engineering, process and agricultural industry and protection against incidents of arson and terror attacks. The contents of this volume will be of interest to researchers, practitioners, and policy makers alike.

This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.

Covers experiment planning, execution, analysis, and reporting This single-source resource guides readers in planning and conducting credible experiments for engineering, science, industrial processes, agriculture, and business. The text takes experimenters all the way through conducting a high-impact experiment, from initial conception, through execution of the experiment, to a defensible final report. It prepares the reader to anticipate the choices faced during each stage. Filled with real-world examples from engineering science and industry, Planning and Executing Credible Experiments: A Guidebook for Engineering, Science, Industrial Processes, Agriculture, and Business offers chapters that challenge experimenters at each stage of planning and execution and emphasizes uncertainty analysis as a design tool in addition to its role for reporting results. Tested over decades at Stanford University and internationally, the text employs two powerful, free, open-source software tools: GOSSET to optimize experiment design, and R for statistical computing and graphics. A website accompanies the text, providing additional resources and software downloads. A comprehensive guide to experiment planning, execution, and analysis Leads from initial conception, through the experiment's launch, to final report Prepares the reader to anticipate the choices faced throughout an experiment Hones the motivating question Employs principles and techniques from Design of Experiments (DoE) Selects experiment designs to obtain the most information from fewer experimental runs Offers chapters that propose questions that an experimenter will need to ask and answer during each stage of planning and execution Demonstrates how uncertainty analysis guides and strengthens each stage Includes examples from real-life industrial experiments Accompanied by a website hosting open-source software Planning and Executing Credible Experiments is an excellent resource for graduates and senior undergraduates--as well as professionals--across a wide variety of engineering disciplines.

This book addresses the vital importance of reshoring US manufacturing capability to ensure economic and military security and then discusses the proven methods that the United States used to gain manufacturing supremacy in the first place. The vital takeaway is: If the job can be made sufficiently productive, the per-unit labor cost ceases to be relevant which means a business can pay high wages, realize high profits, and deliver low prices simultaneously. The contest is then not between high wages and cheap labor, but between efficiency and inefficiency and, when automation is involved, machine against machine. Readers will be able to put these principles to work very quickly to achieve tangible results. The relatively low Federal minimum wage has meanwhile become a major issue, but inflation skyrocketed in the second quarter of 2022 when higher wages, and higher demand for goods and services, were not matched with higher productivity. The book addresses the relationship between the money supply and the velocity of money to prices, wages, and productivity. A manufacturing resurgence in the United States will not only increase our standard of living enormously but generate taxable economic activity that will help pay down rather than increase the Federal debt. Higher productivity also delivers a greater supply of goods to accompany higher wages, and thus works against inflation. This can prevent looming recessions and disruptions.

This book focuses on and promotes the applications of the diverse tools and techniques of industrial engineering to the design and operation of systems in industry, business, the government, and the military. Industrial engineering is growing rapidly as an educational option and is a practice favorite in Asia, South America, and many parts of Europe. This book will meet the needs of those growth markets. Industrial Engineering in Systems Design: Guidelines, Practical Examples, Tools, and Techniques offers a wide range of engineering tools from checklists to in-depth analysis guidelines for systems design and operation. The book discusses the integration of industrial and systems engineering from both qualitative and quantitative techniques for systems design. In addition, guidelines for operational resiliency for industry in the case of disruptions, such as a pandemic are covered, and the book provides case examples for industries in developing and under-developed nations. The inclusion of practical examples of where industrial engineering has contributed to the advancement and survival of industries makes this book a very interesting and useful resource. This is a practical guide for professional engineers and consultants involved in the design and operation of systems, particularly manufacturing, production, and supply chain systems, and can also be used as a reference for students.

Special functions play a very important role in solving various families of ordinary and partial differential equations as well as their fractional-order analogs which model real-life situations. Due to the non-local nature and memory effect, fractional calculus is capable of modeling many situations which arise in engineering. This book includes a collection of related topics associated with such equations and their relevance and significance in engineering. Special Functions in Fractional Calculus and Engineering highlights the significance and applicability of special functions in solving fractional-order differential equations with engineering applications. The book focuses on the non-local nature and memory effect of fractional calculus in modeling relevant to engineering science and covers a variety of important and useful methods using special functions for solving various types of fractional-order models relevant to engineering science. The book goes on to illustrate the applicability and usefulness of special functions by justifying their numerous and widespread occurrences in the solution of fractional-order differential, integral, and integrodifferential equations. The book holds a wide variety of interconnected fundamental and advanced topics with interdisciplinary applications that combine applied mathematics and engineering sciences. useful to graduate students, Ph.D. scholars, researchers, and educators interested in special functions, fractional calculus, mathematical modeling, and engineering. .

This book includes a selection of reviewed papers presented at the 9th China Academic Conference on Printing and Packaging, which was held in November 2018 in Shandong, China. The conference was jointly organized by the China Academy of Printing Technology and Qilu University of Technology (Shandong Academy of Sciences). With 8 keynote talks and over 200 presented papers on graphic communication and packaging technologies, the conference attracted more than 300 scientists.The proceedings cover the recent findings in color science and technology, image processing technology, digital media technology, mechanical engineering and numerical control, materials and detection, digital process management technology in printing and packaging, and other technologies. As such, the book is of interest to university researchers, R&D engineers and graduate students in the field of graphic arts, packaging, color science, image science, material science, computer science, digital media, and network technology.

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.

The book presents the proceedings of the 5th EAI International Conference on Management of Manufacturing Systems (MMS 2020), which took place online on October 27-29, 2020. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart Logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering.

This book addresses the vital importance of reshoring US manufacturing capability to ensure economic and military security and then discusses the proven methods that the United States used to gain manufacturing supremacy in the first place. The vital takeaway is: If the job can be made sufficiently productive, the per-unit labor cost ceases to be relevant which means a business can pay high wages, realize high profits, and deliver low prices simultaneously. The contest is then not between high wages and cheap labor, but between efficiency and inefficiency and, when automation is involved, machine against machine. Readers will be able to put these principles to work very quickly to achieve tangible results. The relatively low Federal minimum wage has meanwhile become a major issue, but inflation skyrocketed in the second quarter of 2022 when higher wages, and higher demand for goods and services, were not matched with higher productivity. The book addresses the relationship between the money supply and the velocity of money to prices, wages, and productivity. A manufacturing resurgence in the United States will not only increase our standard of living enormously but generate taxable economic activity that will help pay down rather than increase the Federal debt. Higher productivity also delivers a greater supply of goods to accompany higher wages, and thus works against inflation. This can prevent looming recessions and disruptions.

China's Belt and Road Initiatives (BRI) is an ambitious infrastructure project conceived in 2013 by President Xi Jinping with development and investment initiatives stretching from Asia and Europe that reflect the original Silk Road with business networks through countries such as Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, as well as India and Pakistan, spanning a route of more than four thousand miles and history that can be dated back more than 2200 years. Given the background of China's unique approach in fighting the COVID-19, and against the backdrop of sluggish economic growth, innovation and management within the sustainable development of BRI will be the key and the driving force for the post-pandemic economic recovery for many countries, especially when BRI countries now accounts for nearly 30% of China's foreign trade and 15% of outward direct investment. The vision to create a vast network of railways, energy pipelines, highways, and streamlined border crossings to expand the international use of Chinese currency and improve connectivity to China is good foresight and fortuitous with COVID-19 pandemic came to plague the world, and amid in the conflicts between US and China as well as a War between Russia and Ukraine. Since the inception of BRI many books are written to cover topics ranging from globalization to detailing how China's business and politics as a major motivation for China's overseas economic activities with case studies and practices, yet seldom of these books provide structured approach to the sustainable management of BRI projects. This book is about how to manage innovation, sustainability, and business necessary to make BRI works, and how to handle the issues, problems and crisis that may arise thereof. Participants of BRI projects can take many different roles but ultimately it is team effort and leadership for each project. Here the readers will find guidelines and insights to survive and prosper in a myriad of BRI opportunities and risks. Most important of all, this book provides a glimpse of different approach for success in BRI projects, including sustainability, environmental issues, social and political aspects, technological, choice of industry, project management, education and training, governance and many more.

This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.

Effective Maintenance The Key to Profitability Paul D. Tomlingson Plant maintenance represents a high percentage of operating costs in many industries—and as global competition increases, so does the need for reduced downtime and cost-effective maintenance. Effective Maintenance is geared toward helping managers develop, measure, and enhance the maintenance organization. Every aspect of this multi-faceted topic is explored and explained—with an emphasis on practical, use-it-today advice. This comprehensive, results-oriented resource will help you to:

• Establish what maintenance should be doing in your plant environment
• Determine whether maintenance is organized correctly
• Find out whether maintenance is performing effectively
• Implement an improvement program, if needed
• Ensure continuous improvement and effective performance

Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classifi- tion the parameters specifying the partition hyperplane are searched by learning, and more examples may be added to this list. All these parameter estimation problems can be transformed to a root-seeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, for example, may serve as such a function.

Manufacturing Data Structures "Comprehensive yet easy-to-read…Manufacturing Data Structures is filled with anecdotes, yet stresses the importance of maintaining data accuracy. It is valuable reading for all manufacturing managers." Jim Carnall Manufacturing Manager, Eastman Kodak "An entertaining and informative look at an important aspect of day to day business in the MRP II environment. It clearly shows how data structuring methodology can be directly applied to process industries such as the Personal Products/Health and Beauty business." Jeff L. Stevens Manager, Packaging Sciences, Chesebrough-Ponds Canada "Manufacturing Data Structures shows, in a very practical way, how manufacturing data can be used as a competitive weapon. It’s a comprehensive guide, filled with solutions to everyday problems." Jim Hendrickson Plant Manager, Reckitt & Colman "An excellent book…Very useful on the subject of data foundations for manufacturing. It has suggested further opportunities for improvement in my own organisation." R.A. Watson Rolls-Royce Motor Cars "Manufacturing Data Structures will be of immense value to the practitioner…" Chris Cage ICI Pharmaceuticals

Gain the competitive advantage with innovative management strategies for the new millennium!

Business survival in today's global competitive economy requires companies to adapt quickly to rapidly changing markets, tighter schedules, diverse teams, and frequent technological advances. Change today is so pervasive that it has, paradoxically, become a constant.

Based on their extensive and diverse project management experience within Fortune 500 companies and U.S. government agencies, the authors provide a practical and highly informative guide that can be applied easily to a variety of technical projects, regardless of industry! Revised and updated to reflect today's revolutionary changes and extraordinary business challenges, The New Dynamic Project Management: Winning Through the Competitive Advantage provides proven, practical management strategies to give your projects and your teams the competitive advantage.

The first complete guide to using the Stochastic Finite Element Method for reliability assessment

Unlike other analytical reliability estimation techniques, the Stochastic Finite Element Method (SFEM) can be used for both implicit and explicit performance functions, making it a particularly powerful and robust tool for today's engineer. This book, written by two pioneers in SFEM-based methodologies, shows how to use SFEM for the reliability analysis of a wide range of structures.

It begins by reviewing essential risk concepts, currently available risk evaluation procedures, and the use of analytical and sampling methods in estimating risk. Next, it introduces SFEM evaluation procedures, with detailed coverage of displacement-based and stress-based deterministic finite element approaches. Linear, nonlinear, static, and dynamic problems are considered separately to demonstrate the robustness of the methods. The risk or reliability estimation procedure for each case is presented in different chapters, with theory complemented by a useful series of examples.

Integrating advanced concepts in risk-based design, finite elements, and mechanics, Reliability Assessment Using Stochastic Finite Element Analysis is vital reading for engineering professionals and students in all areas of the field.