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.

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.

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

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.

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.

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.

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.

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

This book provides details on various micro and precision manufacturing and finishing operations performed by conventional and advanced processes, including micro-manufacturing of micro-tools and precision finishing of engineered components. It describes the process mechanism, principles and parameters while performing micro-fabrication and precision finishing operations. The text provides the readers with knowledge of micro and precision manufacturing and encourages them to explore the future venues in this field.

This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.

This book presents a number of approaches to Fine-Kinney-based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process. The book begins by giving a review of Fine-Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

This book presents the select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019. The book covers broad aspects of several topics involved in the metrology and measurement of engineering surfaces and their implementation in automotive, bio-manufacturing, chemicals, electronics, energy, construction materials, and other engineering applications. The contents focus on cutting-edge instruments, methods and standards in the field of metrology and mechanical properties of advanced materials. Given the scope of the topics, this book can be useful for students, researchers and professionals interested in the measurement of surfaces, and the applications thereof.

Reliability, Yield, and Stress Burn-In explains reliability issues in Microelectronics Systems Manufacturing and Software Development with an emphasis on evolving manufacturing technology for the semiconductor industry. Since most microelectronics components have an infant mortality period of about one year under ordinary operating conditions, and many modern systems, such as PCs, are heavily used in the first few years, the reliability problem in the infant mortality period becomes extremely important. Burn-in is an accelerated screening procedure that eliminates infant mortalities early on in the shop before shipping out the products to the customers. This book will also help readers to analyze systems that exhibit high failure rate during a long infant mortality period. Reliability, Yield, and Stress Burn-In presents ways to systematically analyze burn-in policy at the component, sub-system, and system levels. Various statistical methods are addressed including parametric, nonparametric, and Bayesian approaches. Many case studies are introduced in combination with the developed theories. Included in the book is an introduction to software reliability. Reliability, Yield, and Stress Burn-In will help manufacturers and system designers to understand and to design a more reliable product given constraints specified by the users and designers. An understanding of the infant mortality period will solve many reliability problems, including those faced in the semiconductor industry and software industry.

Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies.

Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios.

This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas.

This book is the first research collection by the Malaysian Society for Automatic Control Engineers (MACE). Numerous applications of control engineering, sensor, and instrumentation technology in robotics, industrial automation, and other mechatronic systems are presented in this book. The book begins by introducing control engineering in robotics and industrial automation. It progresses through a series of chapters, discussing the application of control engineering in various areas such as: brake-by-wire technology; web scrubber systems; robot localization; and, autonomous navigation systems. Coverage of swarm robotics behaviors and applications of sensor technology in the field of music, biomedical technology, and structural analysis takes the book beyond its core of mechatronic systems and demonstrates a more diverse application of the ideas it presents. Each chapter provides comprehensive and detailed coverage of the main ideas, design methods, and practical needs of its chosen topic, making this book accessible and useful to researchers, engineers, postgraduates, and undergraduate students.

This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.

Emphasises an introduction and explanation of the practical methods used in reliability, and risk studies with a discussion of their uses and limitations Offers basic and advanced methods in reliability analysis that are commonly used in daily practice Provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems Presents a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability Includes many ends of chapter problems, a tools website with computational codes, along with a solutions manual to support course adoptions

Research publications, projects, and teaching learning theories have become very important to universities, institutions, organizations, and industries. Many submissions are rejected due to author's lack of writing and research skills. This new book provides a quick, basic starting point to learning the needed skills. The book discusses the statistical methods involved, covers the development of academic writing skills for a higher impact, teaches learning theories, and uses a structured and holistic approach for educational research proposal development. This book will be used by research scholars, undergraduates, postgraduates, and anyone interested in engineering and learning the basic academic writing skills and scientific methods needed.

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.

This book contains the description of machines and systems as investments goods in production. These machines have a technological and economical life cycle over the time used. By explaining the paradigms of life cycle management, the book describes how the life cycle of such investment goods can be designed, operated and optimized to deliver maximum benefit in industrial environment. Additional examples from industry including case studies and calculations demonstrate practical applications and deliver benefit not only for academic or educational purpose but also for industrial practitioners.

This comprehensive and authoritative book aims to encompass the best and current practices in the field of contemporary food packaging. It covers various aspects of packaging, including challenges and their solutions, innovations, and environmental concerns. Written by experts working in the field, the content is supported by technical/statistical data, practical examples, case studies, and real-life experiences of academicians and professionals working in the area of food packaging. The book covers challenges in food packaging, systems and materials for packaging, packaging design requirements of the food industry, technology machinery and system, printing and graphics, testing and regulatory aspects, advanced and smart packaging, distribution and logistics in a globalized environment, and sustainable and green packaging. This book will be useful for Packaging Technologists, food scientists, material scientists, policy makers, students, and researchers.

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.