This book highlights topics ranging from green chemistry and engineering to bioremediation, smart technologies, and sustainable business practices. The common threads running through this volume are the need for urgent action, a vision for a sustainable future, and the awareness that solutions must be widely accessible and advance the welfare of all nations, especially in the face of climate change. The authors delineate how we can protect and restore natural ecosystem potential to achieve environmental sustainability. They provide a clear idea of today's environmental challenges and solutions, focus on energy use patterns and the reduction of energy consumption, advocate for increased environmental awareness, and discuss environmental monitoring systems. The book contains many domestic and international case studies and showcases visionary ideas in action to illustrate sustainability principles. This volume provides an in-depth reference for stakeholders from academia, government, and industry on the latest research in environmental sustainability solutions. Inspired by the common wisdom that we do not inherit this Earth from our ancestors but instead borrow it from our children, the authors offer solutions to emergent problems. This research comprises an important contribution to the global effort to build a more sustainable tomorrow.

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.

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

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

For readers with no background in acoustics Takes a unique problem based learning approach, reinforcing basic material with progressively complex example problems with solutions. Carefully up-dates and extended from the first edition Solutions to these additional problems available to instructors on request. Suits practising engineers with no acoustics background addressing noise problems in the workplace.

For readers with no background in acoustics Takes a unique problem based learning approach, reinforcing basic material with progressively complex example problems with solutions. Carefully up-dates and extended from the first edition Solutions to these additional problems available to instructors on request. Suits practising engineers with no acoustics background addressing noise problems in the workplace.

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

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.

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.

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

The story of two legendary designers who made "modern America" From the 1920s through the 1950s, two individuals, Joseph Urban and Norman Bel Geddes, did more, by far, to create the image of "America" and make it synonymous with modernity than any of their contemporaries. Urban and Bel Geddes were leading Broadway stage designers and directors who turned their prodigious talents to other projects, becoming mavericks first in industrial design and then in commercial design, fashion, architecture, and more. The two men gave shape to the most quintessential symbols of the modern American lifestyle, including movies, cars, department stores, and nightclubs, along with private homes, kitchens, stoves, fridges, magazines, and numerous household furnishings. Illustrated with more than 130 photographs of their influential designs, this book tells the engrossing story of Urban and Bel Geddes. Christopher Innes shows how these two men with a background in theater lent dramatic flair to everything they designed and how this theatricality gave the distinctive modernity they created such wide appeal. If the American lifestyle has been much imitated across the globe over the past fifty years, says Innes, it is due in large measure to the designs of Urban and Bel Geddes. Together they were responsible for creating what has been called the "Golden Age" of American culture.

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.

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.

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.

Sustainable Production and Logistics: Modeling and Analysis Subject Guide: Engineering - Industrial & Manufacturing This book presents issues faced by planners of production and distribution operations in terms of smart manufacturing and sustainability, using efficient quantitative techniques in a variety of decision-making situations. Addressing the state-of-the-art of the smart and sustainable sides of production and distribution planning operations, it highlights how a current issue can be effectively approached and what particular quantitative technique can be used. The book goes on to provide a foundation in the new and fast-growing digital journey, and includes logistics 4.0 inside Industry 4.0, along with case studies. The information in this book is useful worldwide, especially in the Americas, Europe, Turkey, and Japan. It is written for academicians, researchers, practitioners, and students.

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.

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

This book is about how to be a design academic. In another words, how to manage the various challenges, requirements, and processes that come with both the everyday and extra-ordinary parts of an academic role in design fields (from architecture, urban design, interior design and landscape architecture, to fashion, industrial, interaction and graphic design). The book is organised in two parts - Part 1, Starting out and Part 2, Becoming a Leader. It includes real-life experiences of actual academics and offers a wide range of experiences of authors from early career researchers to full professors and heads of schools. It contains all aspects of academic life, including the highs and lows of teaching, research, leadership, and managing your working life and your career. This book is perfect for academics, aspiring academics, and research students in a wide range of design fields.

Closed loop supply chains and their management have become mandatory for firms to stay competitive and profitable. This book provides insights into designing supply chain networks by understanding and incorporating key return parameters into the network design, which will affect profitability. The book discusses how customer categories and their acceptance behavior are incorporated into the network design. It also shows how to analyze the interaction of parameters on supply chain network design and profitability, offers modeling framework for incorporating uncertainties in the return product parameters, and shows how to design a robust network. Invaluable for managers in designing a sustainable, robust, and profitable supply chain network and ideal for managers, practitioners, and researchers in the area of supply chain network design and optimization.

Offering a step-by-step approach for applying the Nonparametric Method with the Bayesian Approach to model complex relationships occurring in Reliability Engineering, Quality Management, and Operations Research, it also discusses survival and censored data, accelerated lifetime tests (issues in reliability data analysis), and R codes. This book uses the Nonparametric Bayesian approach in the fields of quality management and operations research. It presents a step-by-step approach for understanding and implementing these models, as well as includes R codes which can be used in any dataset. The book helps the readers to use statistical models in studying complex concepts and applying them to Operations Research, Industrial Engineering, Manufacturing Engineering, Computer Science, Quality and Reliability, Maintenance Planning and Operations Management. This book helps researchers, analysts, investigators, designers, producers, industrialists, entrepreneurs, and financial market decision makers, with finding the lifetime model of products, and for crucial decision-making in other markets.

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

Designing new products and improving existing ones is a continual process. Industrial design engineering is an industrial engineering process applied to product designs that are to be manufactured through techniques of production operations. Excellent industrial design engineering programs are essential for the nation's industry to succeed in selling useful and ecologically justifiable and usable products on a market flooded with goods and services. This unique text on industrial design engineering integrates basic knowledge, insight, and working methods from industrial engineering and product design subjects. Industrial Design Engineering: Inventive Problem Solving provides a combination of engineering thinking and design skills that give the researchers, practitioners, and students an excellent foundation for participation in product development projects and techniques for establishing and managing such projects. The design principles are presented around examples related to the designing of products, goods, and services. Case studies are developed around real problems and are based on the customer's needs.

Chinese manufacturing industries continue to impact the world economy. It is important to understand what is happening in China and the uniqueness of Chinese manufacturing industries. Manufacturing Productivity in China brings together a group of authors from academia and industry to give an industrial engineering micro viewpoint instead of an economical macro viewpoint to this subject. It includes first-hand case studies to better understand the competitiveness of Chinese manufacturing industries. Although many researchers attribute China's manufacturing success to the competitiveness of low labor and materials cost, in reality, many other factors are at play. Investment in manufacturing engineering education and innovation also plays a role. With twelve case studies written by foremost authorities from Tsinghua University, this book covers a broad range of manufacturing industries-transitional, state-owned, and private enterprises. However, each case study highlights the innovation of Chinese manufacturing and enhancement of production efficiency, with concepts bolstered by a significant number of figures and tables. The book explores the history of China's success, beginning with the planned economy from 1949-1977, to the reforms of the latter part of the twentieth century, to the emergence of industrial engineering and innovation. An inside look at the stories behind the successful manufacturing processes, this book provides an unbiased view of the success of "Made in China".