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.

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

This book applies systems thinking to treat project management in a systemic and systematic manner from a problem-solving perspective. Considering the project as a system, the book discusses traditional project planning and organizing, as well as some neglected aspects of the project, namely how to prevent cost and schedule escalation, how to deal with change, recognize problems in time to prevent project failure and what to do when things go wrong during the implementation states of a project. This book provides you with a better understanding of the systems approach to problem-solving and project management that will enable you to be more successful at managing projects. Features Treats projects as systems Presents project management as a problem-solving paradigm Discusses how to incorporate prevention into planning and how to show the value Describes what to do and how to cope with unanticipated problems that arise during the project implementation state Introduces new tools and techniques

A substantial amount of research has been conducted on consecutive k-out-of-n and related reliability systems over the past four decades. These systems have been used to model various engineering systems such as the microwave stations of telecoms network, oil pipeline systems, and vacuum systems in an electron accelerator. As such, studies of reliability properties of consecutive k-out-of-n structures have attracted significant attention from both theoretical and practical approaches. In the modern era of technology, the redundancies are employed in the various industrial systems to prevent them from failure/sudden failure or to recover from failures. This book is meant to provide knowledge and help engineers and academicians in understanding reliability engineering by using k-out-of-n structures. The material is also targeted at postgraduate or senior undergraduate students pursuing reliability engineering.

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

Modeling, in the past 60 years, has been constantly evolving and has revolutionized the industrial sector. Its continuous development will still have profound impact in the upcoming future. For big or small companies, modeling is a tool which brings technical improvement and profitability. What is modeling? What are the benefits and limits? What are the best practices, technical and non-technical, to apply? The objective of this book is to bring answers to these questions in a synthetic and transversal manner, so that engineers, managers and directors can see future challenges not as a threat, but as an opportunity. Features: Transversal and synthetic view on modeling, written in a clear and pragmatic way Technical best practices to build/ develop a model Non-technical best practices to efficiently deploy modeling in companies All best practices discussed in the book have been truly already implemented in past situations Theory is illustrated in a case study from the beginning to the end of the book

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.

In collaboration with IKEA, this inspirational study explores how to live more sustainably and well based on the experience of both ordinary and extraordinary lives, showing how small changes at home will work positively towards sustainability for our planet Ever since the 1950s, IKEA retailers have visited homes all over the world to find out more about how we live. Inspired by this approach, Inter IKEA Systems and Phaidon have teamed up to explore the greatest challenge of our generation - living sustainably - through the lives of activists, artists, athletes, entrepreneurs and many more. Achieving a more sustainable life at home is one of the most pressing social and environmental challenges we face today as a society. Together with IKEA, we visit homes, workplaces and shared spaces from Mexico to Moscow, Bali to Beirut to find ways in which we can improve how we live. Our everyday actions might seem inconsequential, but the future of our planet starts with us.

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.

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

This book contains fundamental concepts on discrete mathematical structures in an easy to understand style so that the reader can grasp the contents and explanation easily. The concepts of discrete mathematical structures have application to computer science, engineering and information technology including in coding techniques, switching circuits, pointers and linked allocation, error corrections, as well as in data networking, Chemistry, Biology and many other scientific areas. The book is for undergraduate and graduate levels learners and educators associated with various courses and progammes in Mathematics, Computer Science, Engineering and Information Technology. The book should serve as a text and reference guide to many undergraduate and graduate programmes offered by many institutions including colleges and universities. Readers will find solved examples and end of chapter exercises to enhance reader comprehension. Features Offers comprehensive coverage of basic ideas of Logic, Mathematical Induction, Graph Theory, Algebraic Structures and Lattices and Boolean Algebra Provides end of chapter solved examples and practice problems Delivers materials on valid arguments and rules of inference with illustrations Focuses on algebraic structures to enable the reader to work with discrete structures

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.

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

Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenance of any engineering system, engineers must make technological and managerial decisions to minimize either the effort or cost required or to maximize benefits. There is no single method available for solving all optimization problems efficiently. Several optimization methods have been developed for different types of problems. The optimum-seeking methods are mathematical programming techniques (specifically, nonlinear programming techniques). Nonlinear Optimization: Models and Applications presents the concepts in several ways to foster understanding. Geometric interpretation: is used to re-enforce the concepts and to foster understanding of the mathematical procedures. The student sees that many problems can be analyzed, and approximate solutions found before analytical solutions techniques are applied. Numerical approximations: early on, the student is exposed to numerical techniques. These numerical procedures are algorithmic and iterative. Worksheets are provided in Excel, MATLAB (R), and Maple (TM) to facilitate the procedure. Algorithms: all algorithms are provided with a step-by-step format. Examples follow the summary to illustrate its use and application. Nonlinear Optimization: Models and Applications: Emphasizes process and interpretation throughout Presents a general classification of optimization problems Addresses situations that lead to models illustrating many types of optimization problems Emphasizes model formulations Addresses a special class of problems that can be solved using only elementary calculus Emphasizes model solution and model sensitivity analysis About the author: William P. Fox is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School. He received his Ph.D. at Clemson University and has taught at the United States Military Academy and at Francis Marion University where he was the chair of mathematics. He has written many publications, including over 20 books and over 150 journal articles. Currently, he is an adjunct professor in the Department of Mathematics at the College of William and Mary. He is the emeritus director of both the High School Mathematical Contest in Modeling and the Mathematical Contest in Modeling.

There is often a deep disconnect between the project team's goals and those of the organization. Senior management wants "profitable" projects, but is only able to quantify its wishes in terms of the traditional project management elements: schedule and cost. To operate smoothly, the entire organization must be driven by the single goal of project profitability. Total Project Control presents valuable enhancements to the traditional project management approach, introducing new metrics and techniques for assessing the performance and profitability of projects. Demonstrating how to maximize the business value of a project, this book discusses new profitability-based data metrics, such as expected monetary value (EMV), expected project profit (EPP), Devaux's Index of Project Performance (DIPP), critical path drag, drag cost, and the cost of leveling with unresolved bottlenecks (CLUB). The impact of implementing these metrics can be far reaching. Not only will good management decisions, at both the project and executive levels, be supported by quantitative data, but bad decisions will become harder to justify. This book shows how to compute and use the new metrics to rightsize staffing levels for projects, programs, and organizations. It also explains what every project manager needs to know about earned value tracking: its uses, abuses, value, distortions, and potential fixes. The book then extends these metrics into techniques for indexing, tracking, progressing, and improving the business value of projects. See What's New in the Second Edition: Includes new diagrams and new ways of computing critical path drag in complex networks Introduces DIPP Performance Index tracking Offers new exercises in how to compute critical path drag and drag cost and use them to maximize project value Focuses on topics senior management needs to be assured the project team is using to maximize project profitability

Engineering systems are an important element of world economy. Each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of engineering systems about the globe. The reliability and usability of these systems have become important because of their increasing complexity, sophistication, and non-specialist users. Global competition and other factors are forcing manufacturers to produce highly reliable and usable engineering systems. Along with examples and solutions, this book integrates engineering systems reliability and usability into a single volume for those individuals that directly or indirectly are concerned with these areas.

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.

- Provides designers and non-designers with new ideas and tools for creating useful, energy-and-resource-efficient product designs and systems - Offers a critical perspective on the impact of new technologies and product designs - Includes historic and contemporary examples, such as thermostats, electric lighting, air quality sensors, domestic maintenance, and methods of transportation - Written in an engaging, accessible tone for professionals and students.

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".

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

This handy, portable version of the authoritative Universal Methods of Design provides the same thorough and critical presentation, updated and expanded to include 125 research methods, synthesis/analysis techniques, and research deliverables for human-centered design. Each method of research is distilled down to its most powerful essence, in a format that will help individual practitioners as well as design teams select and implement the research methods best suited to their design culture within the constraints of their projects. This valuable guide: Dismantles the myth that user research methods are complicated, expensive, and time-consuming Creates a shared meaning for cross-disciplinary design teams Illustrates methods with compelling visualizations and case studies Characterizes each method at a glance With the concise, accessible format of The Pocket Universal Methods of Design, you and your team will be designing in a completely new, more effective way. The titles in the Rockport Universal series offer comprehensive and authoritative information and edifying and inspiring visual examples on multidisciplinary subjects for designers, architects, engineers, students, and anyone who is interested in expanding and enriching their design knowledge.

A dazzling celebration of the clothes that made America's favorite doll and the incredible woman behind them, timed to the movie release of Barbie, starring Margot Robbie and Ryan Gosling and directed by Greta Gerwig. If you've ever had a Barbie doll, or you know someone who did, chances are that Barbie was dressed in one of the thousands of designs created by Carol Spencer during her unparalleled reign as a Barbie fashion designer spanning more than thirty-five years. Illustrated with more than 100 full-color photographs, including many never-before-seen images of rare and one-of-a-kind pieces from Spencer's private archive, Dressing Barbie is a treasure trove of some of the best and most iconic Barbie looks from the early 1960s until the late 1990s. Along with behind-the-scenes stories of how these designs came to be, Spencer reminisces about her thrilling time at Mattel working with legendary figures such as Ruth Handler, Barbie's creator, and Charlotte Johnson, the original Barbie designer, for a full, inside look into life with the beloved doll. Over the course of her career, Spencer won many accolades. She was the first designer to have her signature on the doll, the first to go on a signing tour, the first to design a limited-edition Barbie for collectors, and the designer of the biggest-selling Barbie of all time. Now, she is the first member of the inner circle to reveal the fashion world of the quintessential California girl as never before.

Design Materials and Making for Social Change spans the two interconnected worlds of the material and the social, at different scales and in different contexts, and explores the value of the knowledge, skills and methods that emerge when design researchers work directly with materials and hold making central to their practice. Through the social entanglements of addressing material impacts, the contributors to this edited volume examine homelessness, diaspora, migration, the erosion of craft skills and communities, dignity in work and family life, the impacts of colonialism, climate crisis, education, mental health and the shifting complexities in collaborating with and across diverse disciplines and stakeholders. This book celebrates the role of materials and making in design research by demonstrating the diverse and complex interplay between disciplines and the cultures it enables, when in search of alternative futures. Design Materials and Making for Social Change will be of interest to scholars in materials design, textile design, product design, fashion design, maker culture, systemic design, social design, design for sustainability and circular design.

Focuses on the latest research in Graph Theory Provides recent research findings that are occurring in this field Discusses the advanced developments and gives insights on an international and transnational level Identifies the gaps in the results Presents forthcoming international studies and researches, long with applications in Networking, Computer Science, Chemistry, Biological Sciences, etc.