This book will change the way you think about problems. It focuses on creating solutions to all sorts of complex problems by taking a practical, problem-solving approach. It discusses not only what needs to be done, but it also provides guidance and examples of how to do it. The book applies systems thinking to systems engineering and introduces several innovative concepts such as direct and indirect stakeholders and the Nine-System Model, which provides the context for the activities performed in the project, along with a framework for successful stakeholder management. A list of the figures and tables in this book is available at https://www.crcpress.com/9781138387935. FEATURES * Treats systems engineering as a problem-solving methodology * Describes what tools systems engineers use and how they use them in each state of the system lifecycle * Discusses the perennial problem of poor requirements, defines the grammar and structure of a requirement, and provides a template for a good imperative construction statement and the requirements for writing requirements * Provides examples of bad and questionable requirements and explains the reasons why they are bad and questionable * Introduces new concepts such as direct and indirect stakeholders and the Shmemp! * Includes the Nine-System Model and other unique tools for systems engineering

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

This book discusses conventional as well as unconventional wood drying technologies. It covers fundamental thermophysical and energetic aspects and integrates two complex thermodynamic systems, conventional kilns and heat pumps, aimed at improving the energy performance of dryers and the final quality of dried lumber. It discusses advanced components, kiln energy requirements, modeling, and software and emphasizes dryer/heat pump optimum coupling, control, and energy efficiency. Problems are included in most chapters as practical, numerical examples for process and system/components calculation and design. The book presents promising advancements and R&D challenges and future requirements.

Aluminium, magnesium and titanium are alloys of special interest for engineering applications in a wide range of sectors such as aeronautics, automotive and medical. Their low density, along with sufficient mechanical properties, makes them especially adequate for sectors such as transportation allowing diminishing weight less fuel consumption and emissions to the atmosphere. Nowadays, machining is still one the most important manufacturing processes, not only for metal parts, but also for specially designed hybrid parts for more demanding new applications. A wide range of valuable research has been done on the machining of conventional engineering materials. However, when dealing with light alloys and hybrid materials containing them, they need to face new challenges. Particularly, it is important to analyse the suitability of the machining of these alloys in the current context of Industry 4.0, focusing on the development of cost-effective and sustainable processes. This book is a comprehensive source on the machining of light alloys, presenting a collection of both experimental and review studies. The work is arranged in eight chapters, presented by a group of international scholars, which analyse the main problems related to the machining of these alloys from different perspectives. Key Features A comprehensive state-of-the-art reference source on machining of light alloys Provides research on conventional and non-conventional machining process Offers current research topics on sustainable machining Presents research on the machining of hybrid materials using light alloys Includes applications for Industry 4.0 environments Machining of Light Alloys: Aluminum, Titanium, and Magnesium The aim of the book is to serve as a tool for helping researchers and practitioners to face machining challenges and facilitating the development of new industrial applications for light alloys.

Finite element analysis has become the most popular technique for studying engineering structures in detail. It is particularly useful whenever the complexity of the geometry or of the loading is such that alternative methods are inappropriate. The finite element method is based on the premise that a complex structure can be broken down into finitely many smaller pieces (elements), the behaviour of each of which is known or can be postulated. These elements might then be assembled in some sense to model the behaviour of the structure. Intuitively this premise seems reasonable, but there are many important questions that need to be answered. In order to answer them it is necessary to apply a degree of mathematical rigour to the development of finite element techniques. The approach that will be taken in this book is to develop the fundamental ideas and methodologies based on an intuitive engineering approach, and then to support them with appropriate mathematical proofs where necessary. It will rapidly become clear that the finite element method is an extremely powerful tool for the analysis of structures (and for other field problems), but that the volume of calculations required to solve all but the most trivial of them is such that the assistance of a computer is necessary. As stated above, many questions arise concerning finite element analysis. Some of these questions are associated with the fundamental mathematical formulations, some with numerical solution techniques, and others with the practical application of the method. In order to answer these questions, the engineer/analyst needs to understand both the nature and limitations of the finite element approximation and the fundamental behaviour of the structure. Misapplication of finite element analysis programs is most likely to arise when the analyst is ignorant of engineering phenomena.

Design for Six Sigma (DFSS) is an innovative continuous improvement methodology for designing new products, processes, and services by integrating Lean and Six Sigma principles. This book will explain how the DFSS methodology is used to design robust products, processes, or services right the first time by using the voice of the customer to meet Six Sigma performance. Robust designs are insensitive to variation and provide consistent performance in the hands of the customer. DFSS is used to meet customer needs by understanding their requirements, considering current process capability, identifying and reducing gaps, and verifying predictions to develop a robust design. This book offers: Methodology on how to implement DFSS in various industries Practical examples of the use of DFSS Sustainability utilizing Lean Six Sigma techniques and Lean product development Innovative designs using DFSS with concept generation Case studies for implementing the DFSS methodology Design for Six Sigma (DFSS) enables organizations to develop innovative designs. In order to redesign an existing process or design a new process, the success is dependent on a rigorous process and methodology. DFSS ensures that there are minimal defects in the introduction of new products, processes, or services. The authors have compiled all of the tools necessary for implementation of a practical approach though innovation.

Although regularly introducing new products or services is the lifeblood of most industries, bringing them to market can be fraught with peril. Timing, cost, and quality all play important roles in a successful product launch and avoiding expensive - often in more than just dollars - recalls and redesigns. Quality Assurance: Applying Methodologies for Launching New Products, Services, and Customer Satisfaction details continual improvement (CI), a proven process for avoiding common problems and creating customer satisfaction. The book explores the three fundamental approaches required to create a truly CI culture in any organization: a) consistent philosophy of improvement by management, b) receptive organizational culture, and c) the entire culture of the organization must be willing to make decisions based on measurement and data. It outlines the seven principles: research/plan, assure, explain, prioritize, demonstrate, confirm, and show. However, as with CI itself, this attitude must be incorporated into the processes of any organization and create products or services for the market place that will delight customers rather than just satisfying them. Time and cost constraints are the biggest culprits here, not any one person's lack of due diligence. When this happens, organizations must look at the bigger picture internally and identify it as a system problem. Based on the author's 35 years of experience, this book covers the essential items for doing the right thing the first time especially during launching a good product and/or service to the customer. It identifies key indicators and methodologies that will help you attain excellent performance, delivery, and cost with both the customer and supplier. In other words, by following these methodologies and indicators, the job will get done right the first time.

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

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 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

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.

This book presents an integrated systems approach to manufacturing and business enterprise. Traditionally, these topics are treated as separate and independent subjects, but the practical fact is that the manufacturing and the business enterprises are intertwined. Currently, there is no book on the market that addresses both subjects from an integrated systems engineering approach with a manufacturing engineering foundation. Topics covered include engineering process, systems modeling, business enterprise, forecasting, inventory management, product design, and project management. Features Provides in-depth treatment of modern manufacturing processes, systems, and tools Uses an integrated systems life-cycle approach to manufacturing and business Includes business proposals Discusses prototype manufacturing and/or business development processes Presents concepts, steps, and procedures for achieving an integrated enterprise of manufacturing and business

This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations. Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book. Features: Creates understanding of the costs associated with complex systems Covers reliability measurement of engineering systems Incorporates an efficient effort-based expenditure policy incorporating cost and reliability criteria Provides information for optimal testing stop and release time of software system Presents software performance and security layout Addresses reliability prediction and its maintenance through advanced analytics techniques Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.

This book offers a practical and reliable approach to how an organization can move beyond all of the separate initiatives and hype associated with sustainability. It shows how to build in what is already in place, in order to create a sense of stewardship that protects the environment, creates a sense of social well-being, and shared value within the organization.

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.

Statistical Analysis for the Reliability Engineering Professional Effectively conduct reliability analysis using the world's leading statistical software. Reliability Analysis with Minitab (R) outlines statistical concepts and applications, explains the theory of probability, reliability analysis, and quality improvement, and provides step-by-step instruction on the use of Minitab. Minitab introduces reliability analysis tools that can be used to perform tasks that range from checking the distribution fit of lifetime data to estimating the warranty costs of a product. Perform the Analyses Needed to Minimize Product Failures and Reduce Costs Chock full of examples that include numerous case studies and over 200 screenshots, this book is a comprehensive guide to quality and reliability in the service and manufacturing industries. It illustrates the shapes of the most commonly used statistical distributions in reliability analysis, and in simple language demonstrates concepts that include parametric reliability analysis, nonparametric reliability analysis, warranty analysis, accelerated life testing, reliability test plans, and probit analysis. Illustrating the application of Minitab for reliability analysis, this book explains how to: Perform reliability analysis of a product with right-censored and exact failure time data Complete reliability analysis of a product with arbitrarily censored failure time data Achieve nonparametric reliability analysis of a product Predict the amount of money that is needed to cover the warranty costs for products in a specific period of time in the future Analyze the results from accelerated life testing on two different products Determine the reliability test sample size when the test time and the number of failures are constrained Regulate the testing time when test sample size and the number of failures are constrained Compare the reliabilities of parts from different vendors Test whether the reliability of a product depends on certain factors Predict the stress level at which a product will fail after a certain test period

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.

The moment of truth-that instant when consumers experience and judge service quality-is often a deciding factor in business success. Designing Service Excellence: People and Technology provides practical information on the design, management, and organization of many different types of service industries, such as hotels, restaurants, banks and financial institutions, retail, and the public sector. The authors investigate the consumers' experience and judgment on service quality, which ultimately determines the success or failure of the service. They then consider people, usability, and technology in the automation of high-quality service. This research-driven book identifies service-in a variety of forms-as an area of business and management where rapid change is taking place. The authors examine how service has become a balance between people and technology and explore this relationship as one of the key drivers of change. They discuss how social, cultural, and technological developments influence the ways in which customers contact, negotiate, and purchase services from their chosen service providers. These same developments are also driving communications between customers relating to the services they buy and are willing to recommend to others (or otherwise). Intermingled, these features of our current-day lives have changed the nature of service provision and service use. When your organization has its moment of truth, how will it measure up? Organizations whose business has service at its core and whose activities focus mainly on service design, management, and delivery are likely to find increasingly that, for survival, service is a matter of life or death. This book provides a deep understanding of the relationship between people and technology along with an ergonomic approach to the design and management of service delivery that helps you deliver the value and benefits that customers not only want, but increasingly come to expect.

Winner of the IIE Book of the Month for June 2012 A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrates qualitative and quantitative tools and techniques for project control. It fills the void that exists in the application of statistical techniques to project control. The book begins by defining the fundamentals of project management then explores how to temper quantitative analysis with qualitative human judgment that makes project control nebulous but also offers opportunities to innovate and be creative in achieving control. The authors then discuss the three factors (time, budget, and performance) that form the basis of the operating characteristics of a project that also help determine the basis for project control. They then focus on computational network techniques for project schedule (time) control. Although designed as a practical guide for project management professionals, the book also appeals to students, researchers, and instructors.

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.

First published in 1989: A generalization and rationalization of the main safety design criteria and safety analysis methodologies developed in nuclear aerospace and chemical engineering is presented in two comprehensive volumes. The concepts of risk, damage and probability of hazardous events are introduced. Risks connected with the use of main harmful substances are quantitatively identified. The methods employed for the safety analyses are described, together with the methodologies for seismic analyses and for Probabilistic Risk Assessment. The main criteria for protection of plants from internal and external events are introduced and described. In addition, the problem of emergency planning is considered. This book is particularly intended for engineers working in the nuclear field, in chemical industries, in industrial plants, in fuel storages and with high-risk substances, as well as for engineers operating in licensing organizations and for inspectors.

Higher Engineering Mathematics has helped thousands of students to succeed in their exams by developing problem-solving skills, It is supported by over 600 practical engineering examples and applications which relate theory to practice. The extensive and thorough topic coverage makes this a solid text for undergraduate and upper-level vocational courses. Its companion website provides resources for both students and lecturers, including lists of essential formulae, ands full solutions to all 2,000 further questions contained in the 277 practice exercises; and illustrations and answers to revision tests for adopting course instructors.

Composite Materials: Properties, Characterisation, and Applications provides an in-depth description of the synthesis, properties, and various characterisation techniques used for the study of composite materials. Covers applications and simulation tests of these advanced materials Presents real-world examples for demonstration Discusses surface, thermal, and electrical characterisation techniques Covers composites for use as sensors Aimed at industry professionals and researchers, this book offers readers thorough knowledge of the fundamentals as well as advanced level techniques involved in composite material characterisation, development, and applications.