Blockchain has potential to revolutionize how manufacturers design, engineer, make and scale their products. Blockchain is gradually proving to be an effective "middleware" solution for enabling seamless interoperability within complex supply chains. Due to its technological nature, blockchain enables secure, transparent and fast data exchanges as well as allowing for the creation of immutable records databases The main advantage of Blockchain in Manufacturing Industries is product traceability, supply chain transparency, compliance monitoring, and auditability. Moreover, leveraging blockchain technology into a manufacturing enterprise can enhance its security and reduce the rates of systematic failures. So, blockchain is now used in various sectors of the manufacturing industry, such as automotive, aerospace, defense, pharmaceutical, consumer electronics, textile, food and beverages, and more. Hence, Blockchain should be seen as an investment in future-readiness and customer-centricity, not as an experimental technology - because, the evidence is overwhelming. This book will explore the strengths of Blockchain adaptation in Manufacturing Industries and Logistics Management, cover different use cases of Blockchain Technology for Manufacturing Industries and Logistics Management, and will discuss the role, impact and challenges of adopting Blockchain in Manufacturing industries and Logistics Management. The chapters will also provide the current open issues and future research trends of Blockchain, especially for Manufacturing Industries and Logistics, and will encapsulate quantitative and qualitative research for a wide spectrum of readers of the book.

As technology advances, it is imperative to stay current in the newest developments made within the engineering industry and within material sciences. Trends in manufacturing such as 3D printing, casting, welding, surface modification, computer numerical control (CNC), non-traditional, Industry 4.0 ergonomics, and hybrid machining methods must be closely examined to utilize these important resources for the betterment of society. Advanced Manufacturing Techniques for Engineering and Engineered Materials provides a unified and complete overview about the recent and emerging trends, developments, and associated technology with scope for the commercialization of techniques specific to manufacturing materials. This book also reviews the various machining methods for difficult-to-cut materials and novel materials including matrix composites. Covering topics such as agro-waste, conventional machining, and material performance, this book is an essential resource for researchers, engineers, technologists, students and professors of higher education, industry workers, entrepreneurs, researchers, and academicians.

In this technology-driven era, conventional manufacturing is increasingly at risk of reaching its limit, and a more design-driven manufacturing process, additive manufacturing, might just hold the key to innovation. Offering a higher degree of design freedom, the optimization and integration of functional features, and the manufacturing of small batch sizes, additive manufacturing is changing industry as we know it. Additive Manufacturing Technologies From an Optimization Perspective is a critical reference source that provides a unified platform for the dissemination of basic and applied knowledge about additive manufacturing. It carefully examines how additive manufacturing is increasingly being used in series production, giving those in the most varied sectors of industry the opportunity to create a distinctive profile for themselves based on new customer benefits, cost-saving potential, and the ability to meet sustainability goals. Highlighting topics such as bio-printing, tensile strength, and cell printing, this book is ideally designed for academicians, students, engineers, scientists, software developers, architects, entrepreneurs, and medical professionals interested in advancements in next-generation manufacturing.

Additive manufacturing (AM) of metals and composites using laser energy, direct energy deposition, electron beam methods, and wire arc melting have recently gained importance due to their advantages in fabricating the complex structure. Today, it has become possible to reliably manufacture dense parts with certain AM processes for many materials, including steels, aluminum and titanium alloys, superalloys, metal-based composites, and ceramic matrix composites. In the near future, the AM material variety will most likely grow further, with high-performance materials such as intermetallic compounds and high entropy alloys already under investigation. Additive Manufacturing Applications for Metals and Composites is a pivotal reference source that provides vital research on advancing methods and technological developments within additive manufacturing practices. Special attention is paid to the material design of additive manufacturing of parts, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the manufacturing process, and the resulted microstructures and properties, as well as the relationship between these factors. While highlighting topics such as numerical modeling, intermetallic compounds, and statistical techniques, this publication is ideally designed for students, engineers, researchers, manufacturers, technologists, academicians, practitioners, scholars, and educators.

3D printed electronics have captured much attention in recent years, owing to their success in allowing on-demand fabrication of highly-customisable electronics on a wide variety of substrates and conformal surfaces. This textbook helps readers understand and gain valuable insights into 3D printed electronics. It does not require readers to have any prior knowledge on the subject.3D Printing and Additive Manufacturing of Electronics: Principles and Applications provides a comprehensive overview of the recent progress and discusses the fundamentals of the 3D printed electronics technologies, their respective advantages, shortcomings and potential applications. The book covers conventional contact printing techniques for printed electronics, 3D electronics printing techniques, materials and inks inks for 3D-printed electronics, substrates and processing for 3D-printed electronics, sintering techniques for metallic nanoparticle inks, designs and simulations, applications of 3D-printed electronics, and future trends. The book includes several related problems for the reader to test his or her understanding of the topics.This book is a good guide for anyone who is interested in the 3D printing of electronics. The book is also an effective textbook for undergraduate and graduate courses that aim to arm their students with a thorough understanding of the fundamentals of 3D printed electronics.Related Link(s)

3D printed electronics have captured much attention in recent years, owing to their success in allowing on-demand fabrication of highly-customisable electronics on a wide variety of substrates and conformal surfaces. This textbook helps readers understand and gain valuable insights into 3D printed electronics. It does not require readers to have any prior knowledge on the subject.3D Printing and Additive Manufacturing of Electronics: Principles and Applications provides a comprehensive overview of the recent progress and discusses the fundamentals of the 3D printed electronics technologies, their respective advantages, shortcomings and potential applications. The book covers conventional contact printing techniques for printed electronics, 3D electronics printing techniques, materials and inks inks for 3D-printed electronics, substrates and processing for 3D-printed electronics, sintering techniques for metallic nanoparticle inks, designs and simulations, applications of 3D-printed electronics, and future trends. The book includes several related problems for the reader to test his or her understanding of the topics.This book is a good guide for anyone who is interested in the 3D printing of electronics. The book is also an effective textbook for undergraduate and graduate courses that aim to arm their students with a thorough understanding of the fundamentals of 3D printed electronics.Related Link(s)

On the manufacturing shop floor, the principle of "value comes from the production of parts rather than charts" crucially applies when using practical statistical process control (SPC). The production worker should need to enter only a sample's measurements to get immediately actionable information as to whether corrective action (e.g., as defined by a control plan's reaction plan) is necessary for an out-of-control situation, and should not have to perform any calculations, draw control charts, or use sophisticated statistical software. This book's key benefit for readers consists of spreadsheet-deployable solutions with all the mathematical precision of a vernier along with the simplicity of a stone ax. Traditional SPC relies on the assumption that sufficient data are available with which to estimate the process parameters and set suitable control limits. Many practical applications involve, however, short production runs for which no process history is available. There are nonetheless tested and practical control methods such as PRE-Control and short-run SPC that use the product specifications to set appropriate limits. PRE-Control relies solely on the specification limits while short-run SPC starts with the assumption that the process is capable-that is, at least a 4-sigma process, and works from there to set control limits. Cumulative Sum (CUSUM) and exponentially weighted moving average (EWMA) charts also can be used for this purpose. Specialized charts can also track multiple part characteristics, and parts with different specifications, simultaneously. This is often useful, for example, where the same tool is engaged in mixed-model production. Readers will be able to deploy practical and simple control charts for production runs for which no prior history is available and control the processes until enough data accumulate to enable the traditional methods (assuming it ever does). They will be able to track multiple product features with different specifications and also control mixed-model applications in which a tool generates very short runs of parts with different specifications. The methods will not require software beyond readily available spreadsheets, nor will they require specialized tables that are not widely available. Process owners and quality engineers will be able to perform all supporting calculations in Microsoft Excel, and without the need for advanced software.

Techniques for Adaptive Control compiles chapters from a team of expert contributors that allow readers to gain a perspective into a number of different approaches to adaptive control. In order to do this, each contributor provides an overview of a particular product, how it works, and reasons why a user would want it as well as an in depth explanation of their particular method.
This is one of the latest technologies to emerge in the instrumentation and control field. These latest control methodologies offer a means to revolutionize plant and process efficiency, response time and profitability by allowing a process to be regulated by a form of rule-based AI, without human intervention.
Rather than the common academic-based approach that books on this subject generally take, the contributions here outline practical applications of adaptive control technology allowing for a real look inside the industry and the new technologies available.
* Written by a team of contributors from the industry's best-known product manufacturers and software developers
* Provides real insight into new technologies available in the industry
* Outlines practical applications of adaptive control technology

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology. Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation focuses on the latest innovations for developing, describing, integrating, sharing, and processing intelligent activities in the process of manufacturing in engineering. Containing research from leading international experts, this publication provides readers with scientific foundations, theories, and key technologies of manufacturing intelligence.

Recent improvements in business process strategies have allowed more opportunities to attain greater developmental performances. This has led to higher success in day-to-day production and overall competitive advantage. The Handbook of Research on Manufacturing Process Modeling and Optimization Strategies is a pivotal reference source for the latest research on the various manufacturing methodologies and highlights the best optimization approaches to achieve boosted process performance. Featuring extensive coverage on relevant areas such as genetic algorithms, fuzzy set theory, and soft computing techniques, this publication is an ideal resource for researchers, practitioners, academicians, designers, manufacturing engineers, and institutions involved in design and manufacturing projects.

The goal of this book is to crystallize the emerging mobile computing technologies and trends into positive efforts to focus on the most promising solutions in services computing. Many toys built today are increasingly using these technologies together and it is important to understand the various research and practical issues. The book will provide clear proof that mobile technologies are playing an ever increasing important and critical role in supporting toy computing, which is a new research discipline in computer science. It is also expected that the book will further research new best practices and directions in toy computing. The goal of this book is to bring together academics and practitioners to describe the use and synergy between the above-mentioned technologies. This book is mainly intended for researchers and students working in computer science and engineering, and for toy industry technology providers, having particular interests in mobile services. The wide range of authors of this book will help the various communities understand both specific and common problems. This book facilities software developers and researchers to become more aware of this challenging research opportunity. As well, the book is soliciting shall provide valuable strategic outlook on the emerging toy industry.

This thesis studies the general heat conduction law, irreversible thermodynamics and the size effect of thermal conductivity exhibited in nanosystems from the perspective of recently developed thermomass theory. The derivation bridges the microscopic phonon Boltzmann equation and macroscopic continuum mechanics. Key concepts such as entropy production, temperature and the Onsager reciprocal relation are revisited in the case of non-Fourier heat conduction. Lastly, useful expressions are extracted from the picture of phonon gas dynamics and are used to successfully predict effective thermal conductivity in nanosystems.

Having a team that knows how to adapt and innovate quickly can make all the difference in these challenging and competitive times -- for your organization and you personally as a leader. Leaders as coaches are crucial for a true learning organization, and high-performance teams need and want their leader to coach -- not tell. But not just any kind of coaching! Coaching that is enabling and inspiring because it increases adaptiveness and creativity -- with each individual and the whole team -- so they achieve important goals together. That's what the Coaching Kata helps leaders to learn. Take a fresh look at this five-phase, dual-purpose coaching model, become the leader you always wanted to be, and your team needs you to be. This business novel will transform the way you see and lead your team.

Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.

The demand and supply chain planning process for manufacturers, distributors, and retailers has evolved over the years. It has gone from a disjointed, unconnected, slow, inaccurate, fairly manual set of processes to an integrated, timely process enabled by the use and coordination of highly trained people, lean, agile processes, and cutting-edge technology. To make this set of processes work effectively, one has to fully understand and appreciate that there is an "art and science" aspect to the process which can take years of education and experience to fully understand. Essentially, this book will offer the reader a chance to fully understand the interconnected set of processes in a "best-practice" application. Furthermore, examples and cases will be used to illustrate its practical application in today's complex global supply chain. In addition, readers will understand and be able to apply and articulate the concepts, tools, and techniques used in the efficient supply of goods and services in today's changing global economy. It will help them to learn how businesses, through their supply chain, work both internally and with their trading partners - both upstream and downstream - to build strong relationships and integrate demand and supply planning activities across the supply chain to deliver customer value efficiently and effectively. They will learn about the tools and technologies enabling integration, and the critical drivers and key metrics of supply chain performance.

This book covers 3D printing activities by fused deposition modeling process. The two introductory chapters discuss the principle, types of machines and raw materials, process parameters, defects, design variations and simulation methods. Six chapters are devoted to experimental work related to process improvement, mechanical testing and characterization of the process, followed by three chapters on post-processing of 3D printed components and two chapters addressing sustainability concerns. Seven chapters discuss various applications including composites, external medical devices, drug delivery system, orthotic inserts, watertight components and 4D printing using FDM process. Finally, six chapters are dedicated to the study on modeling and optimization of FDM process using computational models, evolutionary algorithms, machine learning, metaheuristic approaches and optimization of layout and tool path.

Digital factory is a comprehensive approach providing methodologies, models and tools that support manufacturing enterprises in the rearrangement of their organizational structures to deal with expected changes in manufacturing processes and markets. Digital Factory for Human-oriented Production Systems investigates the impact of the digital factory through a consideration of the entire product/process lifecycle, and the broad network of product engineering, material and component suppliers, manufacturing equipment suppliers, and customers involved in current and next generation manufacturing. It covers the utilization and integration of: human body ergonomics models; production system discrete event simulation; 3D/virtual and augmented reality visualization; collaborative design tools; automatic data capture; and knowledge management systems based on semantic web ontologies integrated by a continuous data management. The coverage of various types of factory and manufacturing phases, representations and simulations allows researchers in academia and industry to perform a dynamic analysis and up-to-date modeling of the processes involved. Digital Factory for Human-oriented Production Systems describes the tools that allow a move towards the integrated digital factory and underlines the business impact that companies can obtain by adopting these tools. As well as benefiting international organizations, the proposed methodologies and technologies have also been developed in order to facilitate their adoption by small or medium-sized businesses, making them relevant to all product engineers and managers who want improve the efficiency and effectiveness of their enterprises.

-- Only book written addressing the role of a Lean CFO. -- Explains how a Lean Management System integrated with a Lean Business Strategy drives financial success. -- In clear concise terms explains how & why Lean makes money for companies. -- Gives readers the logical reasons why a Lean Management System must replace a Management Accounting System. -- Answers the question "why do we need a Lean Management System?"

"Surface Integrity in Machining" describes the fundamentals and recent advances in the study of surface integrity in machining processes.

"Surface Integrity in Machining" gathers together research from international experts in the field. Topics covered include: the definition of surface integrity and its importance in functional performance; surface topography characterization and evaluation; microstructure modification and the mechanical properties of subsurface layers; residual stresses; surface integrity characterization methods; and surface integrity aspects in machining processes.

A useful reference for researchers in tribology and materials, mechanical and materials engineers, and machining professionals, "Surface Integrity in Machining" can be also used as a textbook by advanced undergraduate and postgraduate students.

This authored monograph provides in-depth analysis and methods for aligning electricity demand of manufacturing systems to VRE supply. The book broaches both long-term system changes and real-time manufacturing execution and control, and the author presents a concept with different options for improved energy flexibility including battery, compressed air and embodied energy storage. The reader will also find a detailed application procedure as well as an implementation into a simulation prototype software. The book concludes with two case studies. The target audience primarily comprises research experts in the field of green manufacturing systems.

This book focuses on the emerging additive manufacturing technology and its applications beyond state-of-the-art, fibre-reinforced thermoplastics. It also discusses the development of a hybrid, integrated process that combines additive and subtractive operations in a single-step platform, allowing CAD-to-Part production with freeform shapes using long or continuous fibre-reinforced thermoplastics. The book covers the entire value chain of this next-generation technology, from part design and materials composition to transformation stages, product evaluation, and end-of-life studies. Moreover, it addresses the following engineering issues: * Design rules for hybrid additive manufacturing; * Thermoplastic compounds for high-temperature and -strength applications; * Advanced extrusion heads and process concepts; * Hybridisation strategies; * Software ecosystems for hAM design, pre-processing, process planning, emulating and multi-axis processing; * 3D path generators for hAM based on a multi-objective optimisation algorithm that matches the recent curved adaptive slicing method with a new transversal scheme; * hAM parameters, real-time monitoring and closed-loop control; * Multiparametric nondestructive testing (NDT) tools customised for FRTP AM parts; * Sustainable manufacturing processes validated by advanced LCA/LCC models.

Healthcare Kaizen focuses on the principles and methods of daily continuous improvement, or Kaizen, for healthcare professionals and organizations. Kaizen is a Japanese word that means "change for the better," as popularized by Masaaki Imai in his 1986 book Kaizen: The Key to Japan's Competitive Success and through the books of Norman Bodek, both of whom contributed introductory material for this book. Winner of a 2013 Shingo Research and Professional Publication Award! In 1989, Dr. Donald M. Berwick, founder of the Institute for Healthcare Improvement and former administrator of the Centers for Medicare and Medicaid Services, endorsed the principles of Kaizen in the New England Journal of Medicine, describing it as "the continuous search for opportunities for all processes to get better." This book shows how to make this goal a reality. Healthcare Kaizen shares some of the methods used by numerous hospitals around the world, including Franciscan St. Francis Health, where co-author Joe Swartz has led these efforts. Most importantly, the book covers the management mindsets and philosophies required to make Kaizen work effectively in a hospital department or as an organization-wide program. All of the examples in the book were shared by leading healthcare organizations, with over 200 full-color pictures and visual illustrations of Kaizen-based improvements that were initiated by nurses, physicians, housekeepers, senior executives and other staff members at all levels. Healthcare Kaizen will be helpful for organizations that have embraced weeklong improvement events, but now want to follow the lead of ThedaCare, Virginia Mason Medical Center, and others who have moved beyond just doing events into a more complete management system based on Lean or the Toyota Production System. It's often said, without much reflection, that people hate change. The experiences shared

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before. In this book, new estimates of the average response time in fork-join queues are proposed, which form the basis for new research opportunities. Analysis of Fork-Join Systems: Network of Queues with Precedence Constraints explores numerical approaches to estimate the average response time of fork-join queueing networks and offers never before published simple expressions for the mean response time as conjectures. Extensive experiments are included to demonstrate the remarkable accuracy of the conjectures and algorithms used in the estimation of the average response time. Graduate students, professors, and researchers in the fields of operations research, management science, industrial engineering, computer science, and electrical engineering will find this book very useful. Students, as well as researchers in both academia and industry, will also find this book of great help when looking for results related to fork-join queues