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.

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

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.

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 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.

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

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

This is a practical guide for those who do the work of maintaining and improving the reliability of mechanical machinery. It is for engineers and skilled trades personnel who want to understand how failures happen and how the physical causes of the great majority can be readily diagnosed in the field. It explains the four major failure mechanisms, wear, corrosion, overload, and fatigue and, using easy-to-read charts, how they can be diagnosed at the site of the failure. Then, knowing the physical failure mechanics involved, the reader can accurately solve the human causes. To improve the reader's understanding, all the diagrams and most of the tables have been redrawn. The number of actual failure examples has been increased, plus the last chapter on miscellaneous machine elements includes new material on couplings, universal joints, and plain bearings. Features A practical field guide showing how to recognize how failures occur that can be used to solve more than 85% of mechanical machinery failures Incorporates multiple easy-to-follow logic trees to help the reader diagnose the physical causes of the failure without needing detailed laboratory analysis Explains how the mechanics, corrosion, materials science, and tribology of components can fit together to improve machinery reliability Includes more than 150 completely redrawn charts and tables, plus almost 250 actual failure photographs to help guide the reader to an accurate analysis Contains clear and detailed explanations of how lubricants function and the critical roles of corrosion and lubrication play in causing mechanical failures

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

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

Sustainable procurement is the pursuit of sustainable development objectives through the purchasing and supply process, while balancing environmental, social, and economic objectives. This book will help readers develop new contemporary knowledge about frameworks, innovative tools and techniques to achieve sustainability in public as well as private procurement practices. The book will enable scholars and practitioners working in the domain of sustainable procurement to improve the overall performance of the supply chain and further achieve UN SDGs, by making various decisions at the planning and strategic phase of the business. Features Discusses theoretical, decision making and related business management models Assists to achieve Sustainable Development Goals (SDGs) Provides qualitative/quantitative frameworks Covers quality innovations sustainability in sourcing Examines measurement drivers, indicators and metrics

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

The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies. Features Presents capacity building in machine tool development Discusses engineering design for machine tools Covers prototyping of strategic and non-strategic machine tools Illustrates augmented reality for machine tools Includes Internet of Things (IoT) for machine tools

In today's extremely competitive manufacturing market, effective production planning and scheduling processes are critical to streamlining production and increasing profits. Success in these areas means increased efficiency, capacity utilization, and reduced time required to complete jobs. From the initial stages of plant location and capacity determination to plant operations and manpower scheduling, Production Planning and Industrial Scheduling, Second Edition presents a cohesive outlook on optimization and planning. The author provides a focus on practical applications and integrates logistics and planning in the areas of production and scheduling. Critical Techniques for Optimizing Operational Productivity Starting with the strategic development of plant locations and capacities, the book lays out a clear process for creating an effective production plan with considerations for existing production facilities. It discusses forecasting and aggregate planning, which can predict demands under scenarios. In addition, the book introduces techniques to improve plant efficiencies in various areas, as well as material requirement and inventory and capacity planning. This expanded second edition features new information on safety stock determination, uncertainty in demand, and resource center capacity planning. The problem-specific case studies illustrate the effect of different procedures on the entire system and stress coordination between independent techniques to help achieve optimal efficiency. With the aid of this reference and the proper application of its concepts, industrial managers and engineers can reduce their manufacturing cost, succeed in fulfilling their customers' demands in a timely manner, and attain superior planning and overall control of manufacturing operations.

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.

A large and growing number of manufacturers are realizing the substantial financial and environmental benefits of sustainable business practices. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic, and social challenges and transform industrial behavior. The objective of this book is to provide the required knowledge and accelerate the transition towards a sustainable industrial system. The book will help industries to enhance operational efficiency by reducing costs and waste. It will help them increase customer response, reach new customers, and gain competitive advantage. It offers innovation, scenario planning, and strategic analysis that goes beyond compliance, as well as case studies and remedies to the industry 4.0 challenges. Professionals, as well as students, can refer to this book to add to their knowledge on Industry 4.0 and develop new ideas and solutions to the existing and future problems.