Presents a comparison between conventional and advanced manufacturing methods of FGM fabrication Discusses the fundamentals and advancements of FGMs Offers case studies from labs all over the world by key research groups Covers the entire concept of recent trends and advancements in the manufacturing of FGMs via different techniques Includes the principles and working details of various processing techniques and limitations

Discusses importance of data analytics in industrial operation for improving economy. Provides step-by-step implementation of operation management models for identifying best practices. Covers in-depth analysis using data-based operation management tools and techniques. Discusses mathematical modelling for novel operation management models for solving industrial problems.

Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control.

Focuses on the latest research in the field of differential equations in engineering applications Discusses the most recent research findings that are occurring across different institutions Identifies the gaps in the knowledge of differential equations Presents the most fruitful areas for further research in advanced processes Offers the most forthcoming studies in modeling and simulation along with real-world case studies

Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

Heavily integrates Microsoft Project into the chaptersOffers templates and examplesIncludes case studiesProvides lab assignments for hands-on-experiencePresents topics covered in the PMBOK that will prepare students for the Project Management Institute certification exams.

This book discusses risk management as it applies to problem-solving for simple, complex and wicked problems faced by policy creators and implementors, project managers and systems engineers in the context of policies, large engineering projects (LEPs), projects and systems. When applying systems thinking to risk management, it can be seen that risk management applies to almost every action taken in daily life. This book: Introduces the systems approach of integrating risk management into policy creation and implementation, project management and systems engineering, such as the risk framework and the Firm Fixed Price (FFP) contract with penalties and bonuses. Introduces a number of out-of-the box concepts building on the application of the systems thinking tools in the system thinker's toolbox. Points out that integrating risk management into policy and project management and systems engineering is just good management and engineering practice. Discusses the flow of risk in a policy from creation through implementation via LEPs and simpler projects, identifying where risks arise and where they should be dealt with. Presents the risks in the relationship between policy creation, implementation, project management and systems engineering. Discusses risks throughout the policy implementation process and shows how the nature of risks changes from political to financial to technological as implementation proceeds. Discusses managing complexity and specifies the minimum number of elements in a system for it to be defined as, and managed as, complex. Points out that in most instances the traditionally ignored major implementation risk is that of poor performance by personnel. Shows how to proactively incorporate prevention into planning in order to prevent risks, as well as how to mitigate them when they occur.

Highlights cultural differences in terms of Quality of Life Provides a guide to the current field of global well-being and to future research Suggests improvements in Quality of Life Recognizes the presence of cultural differences resulting from social status, age, gender, class, race, and ethnicity Offers background information for governments, professionals, and policy makers

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

This book explains the concept of wearable computing, need for wearable technology, its advantages, application areas, state of art developments in this area, required material and technology, possible future applications including cyborg developments and the need for this sphere of influence in the future. The scope encompasses three major components, wearable computing (next generation of conventional computing, ergonomics), wearable technology (medical support, rehabilitation engineering, assistive technology support devices, army/combat usage) and allied technologies (miniature components, reliability, high performance integration, cyber physical systems, robotics). Aids reader to recognize the need and functional operations of a wearable computing device Includes diversified examples and case studies from different domains Presents a hybrid concept relating medical care and augmented reality Illustrates product level description examples and research ideas for future development Introduces various wearable technologies and other related technologies for enabling wearable computing This book is aimed at senior undergraduate, graduate students and researchers in computer and biomedical engineering, bioinstrumentation, biosensors, and assistive technology.

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainability This book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.

This expanded and revised version of the best-selling Universal Methods of Design is a comprehensive reference that provides a thorough and critical presentation of 125 research methods, synthesis/analysis techniques, and research deliverables for human-centered design. The text and accompanying photos and graphics of this classic resource are delivered in a concise and accessible format perfect for designers, educators, and students. This new, expanded edition includes updated information on scenarios, secondary research, territory maps, and other chapters. The addition of 25 new chapters brings fresh relevance to the text with innovative design methods that have emerged since the first edition, such as backcasting, behavioral design, horizon scanning, and transition design. Universal Methods of Design, Expanded and Revised distills each method down to its essence, in a format that helps design teams select and implement the most credible research methods suited to their design culture. Each method is presented in a two-page format. The left-hand page contains a concise description of the method, accompanied by references to further reading. On the right-hand page, images and case studies for each method are presented visually. The relevant phases for design application are highlighted as numbered icons along the right side of the page, from phases 1 (planning, scoping, and definition) through 5 (launch and monitor). Build more meaningful products with these methods and more: Affinity Diagramming, Behavioral Mapping, Bodystorming, Contextual Design, Critical Incident Design, Directed Storytelling, Empathy Maps, Graffiti Walls, Image Boards, Parallel Prototyping, Simulation Exercises, Touchstone Tours, and Weighted Matrix. This essential guide: Dismantles the myth that user research methods are complicated, expensive, and time-consuming Creates a shared meaning for cross-disciplinary teams Illustrates methods with compelling visualizations and case studies Characterizes each method at a glance Indicates when methods are best employed to help prioritize appropriate design research strategies Universal Methods of Design, Expanded and Revised is an essential resource for designers of all levels and specializations.

This guide explores ways in which graphic designers can successfully collaborate with other creative professionals and sectors, whether it be a more sophisticated logo for a product, a better-designed lookbook for a fashion brand, or a more intuitive wayfinding system for a museum. The book features exceptionally conceived design solutions across a variety of industries-from architecture and product design to art, fashion, and film. Through dynamic spreads, readers will discover the Berlin-based studio Hort's transformative campaign for Nike; Base's responsive, flexible logo for Munich's Haus der Kunst museum; how design agency Bond worked with ArtRabbit, a website and app that catalogs contemporary art exhibitions, on a clever identity rollout; and how John Haslam, managing director of bespoke paper company G.F Smith, feels about the process of working with designers. Each example illustrates the significance of the graphic designer's role in making a campaign marketable and successful. Insights from clients and the designers themselves reveal the inner workings of the design process. An indispensable reference for the graphic design industry, this visually arresting and informative volume shows how excellence can be achieved when creative minds work together.

Mathematical models are used to convert real-life problems using mathematical concepts and language. These models are governed by differential equations whose solutions make it easy to understand real-life problems and can be applied to engineering and science disciplines. This book presents numerical methods for solving various mathematical models. This book offers real-life applications, includes research problems on numerical treatment, and shows how to develop the numerical methods for solving problems. The book also covers theory and applications in engineering and science. Engineers, mathematicians, scientists, and researchers working on real-life mathematical problems will find this book useful.

Presents an elucidative discussion about productivity and efficiency, illustrating its potentials of use and conceptual differencesCovers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations Explains didactically and in detail how to use DEA for analysis of productivity and efficiency Provides an innovative method for using DEA Offers a free online computer tool to operationalize the concepts and method proposed in the book

Global competition and other factors are forcing manufacturers to produce highly safe engineering systems and products. This book meets the needs for product designers, systems engineers, and safety engineers that work together and need a single resource which considers all three areas when designing new products and systems that they can refer to. Applied Safety for Engineers: Systems and Products serves as a comprehensive resource offering a wide range of safety topics when involved with product design, engineering system analysis, and engineering maintenance. Examples along with their solutions are placed at the end of each chapter to test reader comprehension. The book facilitates the importance for product designers, safety, and systems engineering professionals to work closely during the product design phase so they can understand each other's discipline. Written in a manner that readers do not need any previous knowledge on the subject, the book offers many sources for further reading at the end of each chapter. This book will be useful to product designers, system engineers, safety specialists, graduate and senior undergraduate students, researchers and manufacturers, industrial engineers, safety engineers, and engineers-at-large.

This is a comprehensive book on how to make complex decisions on energy systems problems involving different technologies, environmental effects, costs, benefits, risks, and safety issues. Using Industrial and Systems Engineering techniques for decision-making in Energy Systems, the book provides the background knowledge and methods to incorporate multiple criteria involved in solving energy system problems. It offers methods, examples, and case studies illustrating applications. Decision-Making in Energy Systems discusses subjective as well as objective methods, approaches, and techniques taken from the systems and industrial engineering domain and puts them to use in solving energy systems problems. It uses an integrated approach by including effects of all technical, economic, environmental, and safety considerations as well as costs and risks. The book is specially designed for practicing engineers from industrial/systems engineering who work in energy systems engineering industries. Aimed at graduate students, researchers, and managers involved in various energy generating, distributing, and consuming companies, the book helps the reader to understand, evaluate, and decide on solutions to their energy-related problems.

Provides an overview and background of cost-effectiveness analysis and how it's used Discusses cost-effective in relation to systems engineering Links cost-effectiveness with military issues and problems Explores the usage of cost-effectiveness as it relates to systems architecting and the re-engineering of office systems Compares cost-effective analysis to everyday life when dealing with purchasing small home devices such as phones, and large devices such as automobiles.

Both process planning and scheduling are very important functions of manufacturing, which affect together the cost to manufacture a product and the time to deliver it. This book contains various approaches proposed by researchers to integrate the process planning and scheduling functions of manufacturing under varying configurations of shops. It is useful for both beginners and advanced researchers to understand and formulate the Integration Process Planning and Scheduling (IPPS) problem effectively. Features Covers the basics of both process planning and scheduling Presents nonlinear approaches, closed-loop approaches, as well as distributed approaches Discuss the outfit of IPPS in Industry 4.0 paradigm Includes the benchmarking problems on IPPS Contains nature-algorithms and metaheuristics for performance measurements in IPPS Presents analysis of energy-efficient objective for sustainable manufacturing in IPPS

Includes practical organizational and economical methodologies Offers concepts of marketing and its role in business and public organization Presents marketing decisions and the need for scientific marketing analysis Provides mathematical models in marketing Illustrates sales response to advertising in presence of competition

It is a systems world. This concise book uses a systems-based approach to show how innovation is ubiquitous in all facets of endeavors, including business, industry, government, and academia. The systems approach facilitates process design, evaluation, justification, and integration. This book explicitly highlights the crucial role of integration in any innovation project. It presents conceptual and operational definitions of innovation. Emphasis is placed on the context related to the theme of systems thinking. Features Covers the intrinsic basis for innovation from a systems perspective Describes the use of the DEJI systems model for actuating innovation Highlights the role of humans in the innovation loop Provides guidance for innovation project management Presents a case example of linking quality and innovation Introduces the Umbrella Theory of Innovation

In the current age of manufacturing revival in the U.S. and other developed countries, companies are looking for ways to maintain or gain advantage over competitors from low-cost countries. This book presents a firsthand account of actual projects in three different industries to help leaders and middle managers structure their own turnaround or improvement projects. The book uses a case-based approach for Lean implementation and presents a summary of lessons learned and insights on change management. It includes examples of Robotic Process Automation concepts used in manufacturing and offers several examples of analytical tools used to solve operations management problems. The first-person, story-based approach makes this book an engaging read for operations leaders and middle management in the areas of quality management, engineering management, business management, and manufacturing, as well as postgraduate students.

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

Talks about securing healthcare data using Blockchain and Cryptography Discusses challenges and solutions for Blockchain technology in the healthcare sector Presents digital transformation of the healthcare sector using different technologies Covers the handling of healthcare data/medical records using Blockchain technology Explores managing the medical supply chain using Blockchain technology

This book aims to justify the use of fuzzy logic as a logic and as an uncertainty theory in the decision-making context. It also discusses the development of the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) with related examples and MATLAB codes. This is the first book devoted to TOPSIS and its fuzzy versions. It presents the use of fuzzy logic as a logic and as an uncertainty theory in the decision-making content and discusses the development of the TOPSIS method in classical and fuzzy context. The book justifies the use of fuzzy logic as an uncertainty theory and provides illustrative examples for each fuzzy TOPSIS extension, along with related MATLAB codes and case studies. This book is for industrial engineers, operations research engineers, systems engineers, and production engineers working in the areas of decision analysis, multi-criteria decision making, and multiple objective optimization.