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.

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.

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.

Workshop Machining is a comprehensive textbook that explains the fundamental principles of manually operating machinery to form shapes in a variety of materials. It bridges the gap between people who have traditional toolmaking skills and those who have been trained in programming and operation of CNC machines in a focused production environment, rather than general machine shop. Using a subject-based approach, David Harrison intuitively guides readers and supplies practical skills. The chapters cover everything from the basic machine controls to advanced cutting operations using a wide range of tooling and work-holding devices. Theory and practice are shown via a mixture of diagrams, text and illustrated worked examples, as well as through exercises. The book is ideal for students and lecturing staff who participate in, or lead, practical machining sessions, and for those who wish to further develop their machining skills. It also serves as an excellent reference to understand the principles and limitations of producing shapes with cutters that move in a limited combination of linear and radial paths.

This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.

This book combines the topics of Root Cause Analysis (RCA) and Lubrication Degradation Mechanisms (LDM) with the goal of allowing the reader to develop the disciplined thought process for getting to the root causes of each of the degradation mechanisms. This new way of thinking can be applied to other areas within their facility to mitigate or eliminate any future recurrence. Lubrication Degradation: Getting into the Root Causes strives to break down the complex topic of Lubrication Degradation into its six most common failure mechanisms. It presents the mechanisms as manageable components and then teaches the reader how to identify the typical root causes associated with each failure mechanism. The main aim of this book is to get the audience to look past the physical root causes and really unearth the underlying human and/or systemic roots to prevent recurrence of these types of failures. The book offers a field-proven and practical root cause analysis approach. An ideal practical book for industry professionals involved with Plant Operations, Engineering, Management, Maintenance, Reliability, Quality, and also useful for Technicians.

Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.

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.

Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.

Design is about the creation of meaningful connections to solve problems and advance human wellbeing; the discipline has always explored the beneficial links between form and function, technology and meaning, beauty and utility, people and artefacts and problems and solutions, among others. This book focuses on the crucial connection between design research and design education. Contemporary society grows increasingly hyper-complex and globally competitive. This state of affairs raises fundamental questions for both Design Education and Design Research: Should research skills be integrated into undergraduate courses? How can we modify design courses without compromising the positive aspects of the educational studio experience? Can the three cycles of higher education in design be combined into a creative and inquisitive educational continuum? To examine the relationship between research and education in Design we must address the topic of knowledge, keeping in mind that the development and dissemination of new and useful knowledge is the core purpose of a University. If we agree that design has its own things to know and ways to find out about them, then design knowledge resides in people, processes, products, and philosophy. This book explores the intersection of these four areas with the aim of uncovering insights to advance the current state of the design discipline.

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.

Critical Steps happen every day at work and at home, purposefully. Work does not happen otherwise. If an operation has the capacity to do work, then it has the capacity to do harm. Work is energy directed by human beings to create value. But people are imperfect-we make mistakes, and sometimes we lose control of the work. Therefore, work is the use of force under conditions of uncertainty. A Critical Step is a human action that will trigger immediate, irreversible, and intolerable harm to an asset, if that action or a preceding action is performed improperly. Whether the human action involves clicking on a link attached to an e-mail message, walking down a flight of stairs with a newborn baby in arms, engaging the clutch on a gasoline-driven chain saw, or administering a medication to a patient in a hospital, these all satisfy the definition of what constitutes critical risks in our daily lives, professionally or personally. The overarching goal of managing Critical Steps is to maximize the success (safety, reliability, productivity, quality, profitability, etc.) of people's performance in the workplace, to create value for the organization without losing control of built-in hazards necessary to create that value.

Critical Steps happen every day at work and at home, purposefully. Work does not happen otherwise. If an operation has the capacity to do work, then it has the capacity to do harm. Work is energy directed by human beings to create value. But people are imperfect-we make mistakes, and sometimes we lose control of the work. Therefore, work is the use of force under conditions of uncertainty. A Critical Step is a human action that will trigger immediate, irreversible, and intolerable harm to an asset, if that action or a preceding action is performed improperly. Whether the human action involves clicking on a link attached to an e-mail message, walking down a flight of stairs with a newborn baby in arms, engaging the clutch on a gasoline-driven chain saw, or administering a medication to a patient in a hospital, these all satisfy the definition of what constitutes critical risks in our daily lives, professionally or personally. The overarching goal of managing Critical Steps is to maximize the success (safety, reliability, productivity, quality, profitability, etc.) of people's performance in the workplace, to create value for the organization without losing control of built-in hazards necessary to create that value.

The author has spent approximately 50 years in the field of systems engineering. This Focus book provides a "looking back" at his 50-year run and the lessons he learned and would like to share with other engineers, so they can use these lessons in their day-to-day work in systems engineering and related fields. The book is written from a systems engineering perspective. It offers 50 lessons learned working for a variety of different companies, which can be used across many other engineering fields. The book will be of interested to students and engineers across many fields, as well as students and engineers working in business and management fields.

Provides detailed models/analysis pertaining to various cases which are useful for material requirements planning and supply chain environment. Elaborates manufacturing rate flexibility, demand variation, and production rate variation. Discusses multi-item manufacturing environment and presents models with backorders as well as fractional backlogging. Analyzes flexible production rate along with upward and downward variations.

Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.

Meets the need for Engineers to have a single volume that considers Reliability, Maintainability, and Safety Offers examples along with their solutions at the end of each chapter to test reader comprehension Discusses the importance of how these 3 topics need to work hand in hand for today's world economy Written in such a manner that the reader will not need previous knowledge to understand it Provides many sources for further reading

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.

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

Discusses extensive use of Microsoft Excel spreadsheet and formulas in solving operations research problems. Provides case studies and unsolved exercises at the end of each chapter. Covers industrial applications of various operations research techniques in a comprehensive manner. Discusses creating spreadsheets and using different Excel formulas are illustrated in easy to understand manner. Covers problem-solving procedures for techniques including linear programming, transportation model, and game theory.

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.

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.

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.