The exponential increase in the development of technology coupled with the customers' immense desire to possess the newest technological products makes for truncated product lifespans, which instigates a substantial upsurge in their rate of disposal. Attempts have been made to establish specialized product recovery facilities with the intention of diminishing the volume of accumulated waste delivered to landfills using product recovery procedure such as remanufacturing. The economic benefits produced by remanufacturing also portray the role of product recovery in a more attractive light. The quality of a remanufactured product is uncertain for some consumers. Therefore, these consumers possess insecurities in deciding whether or not the remanufactured products will render the same expected performance. This ambiguity regarding a remanufactured product could possibly result in the consumer deciding against its purchase. With such consumer apprehension, remanufacturers often seek market mechanisms that provide reassurance as to the stable durability that these products still maintain. One strategy that the remanufacturers often use is the utilization of the premise of offering product warranties with preventive maintenance on their products. This book is concerned with the practice and theory of warranty management and preventive maintenance, particularly in relation to remanufactured products' warranties. Models developed in this book can be used for making the right decisions in offering renewable, nonrenewable, one and two dimensional warranty policies, and for managerial decision in considering maintenance contracts or outsourcing maintenance for remanufactured components and products. Features Discusses a variety of warranty policies and preventive maintenance of remanufactured products (first book to do so) Presents mathematical models and applications for warranty policies using examples and simulation results Considers cost and optimization problems from the remanufacturer's and buyer's points of views Provides a foundation for academicians interested in building models in the area of warranty and preventive maintenance analysis of remanufactured products Offers the essential methodology needed by practitioners involved with warranty and preventive maintenance analysis, along with extensive references for further research

Systems Thinker's Toolbox: Tools for Managing Complexity provides more than 100 tools based on systems thinking and beyond. Each tool is described, and when necessary, examples are provided of how each of them can be used. Some of the simplest tools can be combined into more complex tools. The tools may be things such as lists, causal loops, and templates, as well as processes and methodologies. Key Features Provides an explanation of the two views of systems thinking; systemic and systematic thinking, and then shows how to perform each of them in a complimentary manner Presents a set of thinking tools that can be used to apply systems thinking to solving problems in project management, engineering, systems engineering, new product development, and business Describes the tools from simple such as lists, and goes on to more complex such as Categorized Requirements in Process (CRIP) charts, and then onto the processes Introduces new tools that have been tested with positive feedback Discusses a set of communication tools that can improve project reviews and communicating innovative ideas

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.

This book is a must-have resource for those engineering professionals seeking out best practice in engineering leadership and innovation. It is underpinned by years of applied experience in engineering settings, and is designed to develop and prepare engineers as leaders to accept the technical and managerial challenges that they will face as professionals At a time when engineering and innovation in technology is of importance on so many fronts, this text encourages engineers and technical professionals to become effective, socially conscious leaders and innovators. The text and course material is designed to create an environment of interactive, high-engagement learning that will produce lifelong skills. Some of the many benefits of this book include: Accompanying notes, instructor's manual, sample syllabi for qualifying textbook adoption; A complementary website with a wealth of ancillary resources; Case studies in STEM contexts; An international approach, underpinned by years of experience in US settings; Practical advice on how to distinguish yourself as an engineering leader; A solid grounding in ethics and professional responsibility. Drawing together best practice in engineering leadership education, and current research in the field, this book is an essential read for those wishing to develop expertise in engineering leadership. Current professionals in the field, educators as well as students of engineering wishing to excel, will all be particularly interested readers.

In today's business world, competitiveness defines the industrial leading edge. Organizations and businesses of all sizes are adopting Lean manufacturing practices to increase efficiency and address worries about their bottom lines. In a detailed review of this staple of Lean manufacturing, Cellular Manufacturing: Mitigating Risk and Uncertainty outlines how cellular manufacturing can do just that. It demonstrates how this approach can help you and your teams build a variety of products with as little waste as possible. The book begins by presenting a survey of the current state of existing methods that can best be used in the handling of the bottleneck machines and parts problem, which results from the cellular manufacturing system design. It then explores how decision making under risk is used to help the designer select the best cell arrangement in case of probabilistic production volume and maximize the profit imposed by resource capacity constraints. The author then presents a method for the system design of a manufacturing cell that aims for profit maximization over a certain period of time. He also discusses robust design, illustrated with a real application. Put simply, cellular manufacturing integrates machinery and a small team of staff, directed by a team leader, so all the work on a product or part can be accomplished in the same cell eliminating resources that do not add value to the product. A concise yet unique reference, this book incorporates decision making under risk into cellular manufacturing. The text makes the link that ties cellular manufacturing to the bottom line. It helps you recognize savings opportunities from elimination of downtime between operations, decreased material handling costs, decreased work-in-progress inventory and associated costs, reduced opportunity for handling errors, decreased downtime spent waiting for supplies or materials, and reduced losses from defective or obsolete products.

In a presentation that formalizes what makes up decision based design, Decision Based Design defines the major concepts that go into product realization. It presents all major concepts in design decision making in an integrated way and covers the fundamentals of decision analysis in engineering design. It also trains engineers to understand the impacts of design decision. The author teaches concepts in demand modeling and customer preference modeling and provides examples. This book teaches most fundamental concepts encountered in engineering design like: concept generation, multiattribute decision analysis, reliability engineering, design optimization, simulation, and demand modeling. The book provides the tools engineering practitioners and researchers need to first understand that engineering design is best viewed as a sequence of decisions made by the stakeholders involved and then apply the decision based design concepts in practice. It teaches fundamental concepts encountered in engineering design, such as concept generation, multiattribute decision analysis, reliability engineering, design optimization, simulation, and demand modeling. This book helps students and practitioners understand that there is a rigorous way to analyze engineering decisions taking into consideration all the potential technical and business impacts of their decisions. It can be used in its entirety to teach a course in decision based design, while selected chapters can also be used to cover courses in subdisciplines that make up decision based design.

Sustainability is one of the most embraced topics nowadays. Everybody is affected by issues of sustainability. Every organization needs to pay attention to these issues. As long as more people and more organizations are engaging in business and industry activities, there will always be a need for sustainability. This book presents tools such as lean six sigma to help sustain results by using process focused decisions. This book covers tools and techniques of industrial engineering to promote sustainability. It discusses a systems approach, the evolution of new products, development of sustainability alliances, and highlights the role of sustainability in advancing organizational goals. The book also addresses sustainability as a coordinated project using a project management approach. It includes the interface of humans and technology and presents an integration of analytics. The book is ideal for all engineering, business, and management fields.

This book explains the basic sketching techniques and decisions more in depth and provides much more step-by-step example drawings, which makes it even more suitable for students and professionals who want to become better sketchers. Sketching the Basics can be seen as the prequel to Sketching as it is more targeted at the novice designer. The Basics explains the essential techniques and effects more in detail, taking the reader by the hand and guiding him step by step through all the various aspects of drawing that novice designers come up against.

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.

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.

'There have been many books about Herman Miller, its ethos, designers, and furniture, but none as comprehensive as this.' - Interior Design The acclaimed chronicle of the rich history of this innovative furniture company, from its founding in the early twentieth century to today For more than 100 years, Michigan-based Herman Miller has played a central role in the evolution of modern and contemporary design, producing timeless classics while creating a culture that has had a remarkable impact on the development of the design world. Herman Miller is known as much for its pioneering designs and international influence as for its emphasis on environment and community service. In this far reaching survey, new and archival photography illustrates the evolution of Herman Miller's furniture designs over the course of the century. Featuring the stories and creations of legendary designers including Ray and Charles Eames, George Nelson, and Alexander Girard, and through its thousands of illustrations, this book tells the Herman Miller story as never before, documenting its defining moments and key leaders, and making Herman Miller: A Way of Living an indispensable volume for the bookshelves of design-lovers around the globe.

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.

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.

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects. Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges. Researchers, academicians, and those working in industry around the globe will find this book of interest. FEATURES Provides an understanding of the drivers and enablers of Industry 4.0 Includes real case studies of various applications for different fields Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas Covers design, implementation challenges, and interoperability Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies

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

- Provides a cross-disciplinary overview of design theory through the lens of cultural studies, aesthetics and history - Offers a departure from the traditional compartmentalization of practice, history and theory - Engages student readers in contemporary design debates surrounding responsibility, cultural and social awareness and the contexts products are manufactured within.

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.

Engineering systems and products are an important element of the world economy and each year billions of dollars are spent to develop, manufacture, operate, and maintain systems and products around the globe. Because of this, global competition is requiring reliability professionals to work closely with other departments involved in engineering development during the product design and manufacturing phase. Applied Reliability for Engineers is an attempt to meet the need for a single volume that addresses a wide range of applied reliability topics. The material is treated in such a manner that the reader will require no previous knowledge to understand the text. The sources of most of the information presented are given in a reference section at the end of each chapter. At appropriate places, the book contains examples along with their solutions. At the end of each chapter there are numerous problems to test reader comprehension. This volume is thus suitable for use as a textbook as well as for reference. Applied Reliability for Engineers is useful to design professionals, system engineers, reliability specialists, graduate and senior undergraduate students, researchers and instructors of reliability engineering, and engineers-at-large.

Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

This book explores the intersection of craft, design and sustainability in the developing world. It argues that most sustainable design approaches and efforts fall short of implementing holistic sustainability, and in order to reach this goal, design must be underpinned by alternatives to the mainstream, technology-intensive, industrial design paradigm. Renewable materials such as bamboo, cork and hemp - which are abundantly available in the developing world - have the potential to be a viable resource base for sustainable development. Current sustainable design initiatives and approaches already recontextualize these materials using industrial techniques and technologies. However, these efforts fall short of impacting holistic sustainability and tend to focus on the ecological aspect. This book offers the development of one alternative to design for holistic sustainability, called the Rhizome Approach, which draws on existing sustainability praxis and craft. Holistic Sustainability Through Craft-Design Collaboration includes customizable tools which aim to empower designers to guide and evaluate their own designs. Through these tools, and the Rhizome Approach in general, the book aims to enable designers, and students of design, to move beyond green and sustainable design, to holistic sustainability design.

This book covers fire and extinguishing theory and reliability theory and how to validate any survey within the field of engineering. It's based on a year's study of historical literature, using critical review and document analysis. It covers how data is collected, analyzed, and presented. It discusses reliability theory, calculation, and uncertainty analysis, and after validating proposes a new methodology and approach using general scientific value and examples. Features Includes an in-depth study on relevant sprinkler reliability studies based for the first time on critical review and document analysis Presents a scientific validating analysis of studies based on how a survey should be conducted Critiques the fact that reliability of a sprinkler system as its ability to function as designed, has never been subject to surveys Suggestions for new survey methodology that can be used for the field of engineering, including all active and passive fire protection measures Discusses extinguishing theory, general design of extinguishing systems, different systems and the reliability of them all "Reliability Data on Fire Sprinkler Systems" will be of interest to Reliability Engineers, Systems, Architecture and Engineers, Design, Maintenance, Mechanical and, Civil Engineers, as well as those working in the field of fire protection and building and fire codes.

This book features original research articles on the topic of mathematical modelling and fractional differential equations. The contributions, written by leading researchers in the field, consist of chapters on classical and modern dynamical systems modelled by fractional differential equations in physics, engineering, signal processing, fluid mechanics, and bioengineering, manufacturing, systems engineering, and project management. The book offers theory and practical applications for the solutions of real-life problems and will be of interest to graduate level students, educators, researchers, and scientists interested in mathematical modelling and its diverse applications. Features Presents several recent developments in the theory and applications of fractional calculus Includes chapters on different analytical and numerical methods dedicated to several mathematical equations Develops methods for the mathematical models which are governed by fractional differential equations Provides methods for models in physics, engineering, signal processing, fluid mechanics, and bioengineering Discusses real-world problems, theory, and applications

Manufacturing Parameters and Entrepreneurship provides a guide that helps business leaders understand and apply the production parameters and estimation techniques needed for commercial success. This book covers important concepts in depth, including manufacturing space, manufacturing quality, production backorders, space consideration, quality aspects, maximum inventory control, entrepreneurial application, and quality inclusion. Key features: Covers manufacturing parameters, their estimation, and effects in a single volume. Discusses conceptualization, formulation, and analysis of space consideration. Provides basic understanding and mathematical treatment of quality aspects in detail. Discusses in detail concepts such as manufacturing space, manufacturing quality, and production backorders. Covers stock out situations in detail. Manufacturing Parameters and Entrepreneurship will be an invaluable addition to the libraries of graduate students and professionals in the field of industrial engineering, production engineering, and manufacturing science and engineering.

The concept of digitalization captures the widespread adoption of digital technologies in our lives, in the structure and functioning of organizations and in the transformation of our economy and society. Digital technologies for data processing and communication underly high-impact innovations including the Internet of Things, wireless multimedia, artificial intelligence, big data, enterprise platforms, social networks and blockchain. These digital innovations not only bring new opportunities for prosperity and wellbeing but also affect our behaviors, activities, and daily lives. They enable and shape new forms of production and new working practices in sectors such as manufacturing, healthcare, logistics and supply chains, energy, and public and business services. Digital innovations are not purely technological but form part of comprehensive systemic innovations of a sociotechnical and networked nature, requiring the alignment of technology, processes, organizations, and humans. Examples are platform-based work, customer driven value creating networks, and urban public service systems. Building on widespread networking, algorithmic decisions and sharing of personal data, these innovations raise intensive societal and ethical debates regarding key issues such as data sovereignty and privacy intrusion, business models based on data surveillance and negative externalization, quality of work and jobs, and market dominance versus regulation. In this context, this book focuses on the implications of digitalization for the domain of work. The book studies the changing nature of work as well as new forms of digitally enabled organizations, work practices and cooperation. The book sheds light on the technological, economic, and political forces shaping the new world of work and on the prospects for human-centric and responsible innovations. To this end, the book brings together a number of studies in five major topics: 1. The evolution of digital technology impacting ways of working; 2. The role of artificial intelligence in new ways of working; 3. Transformation of work, jobs and employment; 4. Digitalization and need for skills and competencies; and 5. New forms of decentralized working and cooperation.

This book defines, develops, and examines the foundations of the APQP (Advanced Product Quality Planning) methodology. It explains in detail the five phases, and it relates its significance to national, international, and customer specific standards. It also includes additional information on the PPAP (Production Part Approval Process), Risk, Warranty, GD&T (Geometric Dimensioning and Tolerancing), and the role of leadership as they apply to the continual improvement process of any organization. Features Defines and explains the five stages of APQP in detail Identifies and zeroes in on the critical steps of the APQP methodology Covers the issue of risk as it is defined in the ISO 9001, IATF 16949, the pending VDA, and the OEM requirements Presents the role of leadership and management in the APQP methodology Summarizes all of the change requirements of the IATF standard