Contents Operations Research ..................................................3 Quality Control & Reliability ......................................7 Manufacturing & Processing....................................10 Engineering Management ......................................13 Systems Engineering ................................................16 Page 4
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Operations Research
Forthcoming!
Introduction to Linear Optimization and Extensions with MATLAB® Roy H. Kwon University of Toronto, Ontario, Canada Operations Research Series
Filling the need for an introductory book on linear programming, this book includes two major ways of including parameter uncertainty: stochastic linear programming and robust linear optimization. It introduces the theory, algorithms, and applications of linear optimization. This book provides an intuitive but rigorous introduction to linear optimization suitable or upper- year undergraduate and beginning graduate students in engineering, business administration, financial engineering, and mathematics. Divided into three parts, the book offers a vigorous development of linear programming theory and methods by presenting basics before theory: • Fundamentals focuses on the fundamentals of linear optimization. Most of this material would be essential in any introductory course in linear optimization. • Extensions covers some important advanced topics such as decomposition methods for problems with special structure as well as interior point methods. Quadratic optimization is also included and represents an important extension to a non-linear optimization framework. • Robust Strategies for Linear Optimization covers some approaches to handle uncertainty in data via two important frameworks: stochastic programming and robust optimization. It is normally assumed in many books on introductory optimization that the parameters required for optimization are known with certainty. In reality, data are only approximate and the true values are not known until after optimization has occurred. For linear optimization to be fully realized as a practical tool, methods for robust optimization should be introduced in a first exposure to linear optimization. The inclusion of robust methods represents a novel and exciting approach for introducing linear optimization.
Features: • • • • •
Focuses on state-of-art methods for dealing with parameter uncertainty in linear programming Illustrates major methods and algorithms using MATLAB® Rigorously develops linear programming theory and methods Includes financial optimization case studies that consolidate the material in the book Contains an extensive bibliography that primary sources from both classical and more recent literature
Catalog no. K12905, May 2013, c. 350 pp. ISBN: 978-1-4398-6263-6, $99.95 / £63.99 Also available as an eBook
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Operations Research Supply Chain Engineering Models and Applications The Pennsylvania State University, University Park, USA
Probability Foundations for Engineers
Donald P. Warsing, Jr.
Joel A. Nachlas
North Carolina State University, Raleigh, USA
Virginia Polytechnic Institute and State University, Blacksburg, USA
Operations Research Series
“One of the distinctive features (and one of its strength) of the book " is that it gives an in-depth and rigorous presentation of probability theory, while avoiding a classical mathematical – theorems/proofs— presentation. … As the author himself writes, he wants his book to be a supporting tool to go from intuition to mathematical rigor and this is certainly rewarding and fruitful from the pedagogical point of view. … The approach of using everyday engineering intuition to introduce the basic notions of probabilities theory should make this book a valuable tool for engineering students who wants to learn the basic concepts and notions of probability theory and to be able to make use of these on engineering problems.”
A. Ravi Ravindran
Emphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of how companies plan, source, make, and deliver their products to create and/or maintain a global competitive advantage. It emphasizes application of operations research models and methods to optimize the various components of an integrated supply chain. The authors have carefully constructed the book so that it is not so "micro" in its focus that the perspective on the larger business problem is lost, nor is it so "macro" in its treatment of that business context that it fails to develop students’ appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Building students’ knowledge of the first principles of supply chain engineering, the book covers the traditional issues in operations, logistics, and supply chain management—forecasting demand, managing inventories, managing transportation, and locating facilities. It also includes a number of new optimization tools such as risk pooling, for addressing these problems, based on recent research. In addition, the authors’ treatment of managing customer-supplier relations supplies a fresh perspective that draws on recent research using multiple criteria optimization methods. Moreover, the chapter on managing risks in supply chains presents important problems that extend beyond the traditional treatment of supply chain management. Building a bridge between theory and practice, the authors pull all of these themes together in the culminating chapter that solidifies students’ understanding of managing global supply chains.
—Christophe Bereguer, Grenoble Institute of Technology, France
“… this book takes a fresh approach to teaching undergraduate engineering students the fundamentals of probability. The book exploits students’ existing intuition regarding probabilistic concepts when presenting these concepts in a more rigorous manner. Students should be better able to retain the knowledge gained through reading this text because of the relevance of the examples and applications.” —Lisa Maillart, University of Pittsburgh, Pennsylvania, USA
Selected Contents: Historical Perspectives. A Brief Review of Set Theory. Probability Basics. Random Variables and Distributions. Joint, Marginal, and Conditional Distributions. Expectation and Functions of Random Variables. Moment-Generating Functions. Approximations and Limiting Behavior. Appendix: Cumulative Poisson Probabilities. Index.
Catalog no. K10602, September 2012, 548 pp. ISBN: 978-1-4398-1198-6, $129.95 / £82.00
Catalog no. K14453, May 2012, 184 pp. ISBN: 978-1-4665-0299-4, $129.95 / £82.00
Also available as an eBook
Also available as an eBook
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Operations Research
Probability and Stochastic Modeling Vladimir I. Rotar San Diego State University, California, USA
“Written in a lively and stimulating manner, the book makes a very good impression. The author, having extensive teaching experience and an undoubted literary talent, has managed to create an original introduction to modern probability theory. The successful combination of a variety of examples, exercises, and applications with deep and nontrivial ideas makes the book interesting not only for beginning students, but also for professionals working with probabilistic problems. I believe that the book can serve as an ideal textbook for anyone interested in probability theory and its applications. The book will take a worthy place in the literature on probabilistic issues.” —Youri Davydov, Laboratoire Paul Painlevé, Université des Sciences et Technologies de Lille, France
“The author has produced a comprehensive introduction to probability theory and stochastic processes, including martingales and Brownian motion. The text is suitable for students with a standard background in calculus and linear algebra. The approach is rigorous without being pedantic, and the text is liberally sprinkled with examples. Throughout, there is a welcome emphasis on stochastic modeling. Of note is the fairly early introduction and use of conditional expectations. The main text is complemented by a large collection of exercises with a wide range of difficulty. The book is in fact two-in-one, as a series of ‘roadside markers’ guides the reader through two possible courses of study, one consisting of material suitable for a one-semester course, and the other a more indepth journey suitable for a two-semester course. This book is a welcome and attractive addition to the list of textbooks available for an upper division probability course and would even be suitable for a graduate-level introduction to non-measure-theoretic probability and stochastic processes.” —Patrick J. Fitzsimmons, Department of Mathematics, University of California-San Diego, La Jolla, USA
Catalog no. K13311, August 2012, 508 pp. ISBN: 978-1-4398-7206-2, $79.95 / £49.99 Also available as an eBook
Analysis of Queues Methods and Applications Natarajan Gautam Texas A&M, College Station, USA Operations Research Series
"Compelling applications and case studies are sprinkled throughout the text. For many of us who teach graduate courses in queueing theory, this is the text we have been waiting for!" —John J. Hasenbein, The University of Texas at Austin
Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case studies, paradoxes, and numerical examples.
Features: • Explains concepts through applications in a variety of domains such as production, computer communication, and service systems • Presents numerous solved examples and exercise problems that deepen students’ understanding of topics • Includes discussion of fluid-flow queues • Contains pre-requisite material to enhance methodological understanding • Emphasizes methodology, rather than presenting a collection of formulae • Provides 139 solved problems and 154 unsolved problems • Promotes classroom discussions using case studies and paradoxes In addition to the standard single-station and single class discrete queues, the book discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous parameter Markov processes, and quasibirth-and-death processes, to name a few. It describes a variety of applications including computer-communication networks, information systems, production operations, transportation, and service systems such as healthcare, call centers, and restaurants. Solutions manual and PowerPoint figure slides to enhance presentations are available upon qualifying course adoption.
Catalog no. K10327, April 2012, 802 pp. ISBN: 978-1-4398-0658-6, $119.95 / £76.99 Also available as an eBook
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Operations Research Value-Added Decision Making for Managers
Manufacturing Facilities
Wayne State University, Detroit, Michigan, USA
Location, Planning, and Design, Third Edition
Yavuz Burak Canbolat
Dileep R. Sule
Kenneth Chelst
Abbott Laboratories, Abbott Park, Illinois, USA
Louisiana Tech University, Ruston, USA
Developed from the authors’ longstanding course on decision and risk analysis, this text explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk. They also discuss bias, negotiations, project/risk management, and ethical dilemmas. Numerous examples highlight real-world situations from everyday life, public policy, and industry.
From plant layout and materials handling to quality function deployment and design considerations, this book explores topics crucial to the efficiency of a wellplanned facility. This third edition of a classic provides the information and analytical tools necessary to move from product designs to production plans and then details planning techniques needed to build a manufacturing facility where safety, efficiency, and profit are interdependent. It covers Lean manufacturing, supply chain effects, aggregate planning, scheduling, resource planning, machine layout models, economic evaluation of processes, and information technology and includes mathematical methods and problems.
Catalog no. C7572, October 2011, 578 pp. ISBN: 978-1-4200-7572-4, $139.95 / £89.00 Also available as an eBook
Catalog no. 44222, December 2008, 824 pp. ISBN: 978-1-4200-4422-5, $146.95 / £94.00 Also available as an eBook
Forthcoming!
Business Process Modeling, Simulation, and Design
Probability Models in Operations Research C. Richard Cassady
Second Edition
University of Arkansas, Fayetteville, USA
Manuel Laguna
Joel A. Nachlas
University of Colorado, Boulder, USA
Johan Marklund
Virginia Polytechnic Institute and State University, Blacksburg, USA
Lund University, Sweden
Operations Research Series
The second edition of this popular text looks at business process design from a broad quantitative modeling perspective and addresses various managerial issues. It gives students a thorough understanding of the wide range of tools available for modeling, analyzing, and designing business processes. This edition includes new material on change management, project management, task analysis, and performance optimization. It also adds details on the theory of constraints and completely revises coverage of business process modeling and simulation as well as using the software tool ExtendSim LT, which is available for download.
Balancing applications with mathematical rigor, Probability Models in Operations Research provides an introduction to the use of probability to define models that have applications in industrial engineering and operations research. With a concise review of the key components of probability theory, this book offers coverage of all basic model forms, probability modeling fundamentals, random variables analysis, multiple random variables analysis, Bernoulli processes, discrete-time Markov chains, Poisson processes, renewal processes, continuous-time Markov chains, and queueing theory. The text serves as a practical reference for those who use probability to model system behaviors.
Catalog no. K13989, May 2013, 520 pp. ISBN: 978-1-4398-8525-3, $99.95 / £63.99 Also available as an eBook
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Catalog no. 54899, August 2008, 224 pp. ISBN: 978-1-4200-5489-7, $113.95 / £73.99
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Quality Control & Reliability
Forthcoming!
Quality Engineering Off-Line Methods and Applications Chao-Ton Su National Tsing Hua University, Hsinchu, Taiwan
Quality is an essential determinant for achieving overall business success. Quality Engineering: Off-Line Methods and Applications discusses the use of quality engineering methods and other modern techniques to ensure design optimization in the product and process design stages for a company. Starting with the basics, this book presents an overall picture of quality engineering. It helps readers understand quality engineering methods such as DOE, Taguchi, RSM, and computational intelligence approaches. It also provides extensive examples and case studies, without extensive mathematical treatments, making it accessible to a broad audience.
Features: • Explains key methods for quality engineering, including DOE, Taguchi, RSI, and computational intelligence • Provides extensive examples and case studies • Keeps the material simple, avoiding extensive mathematical treatments • Outlines an integrated approach using neural networks and genetic algorithms to improve product quality and process performance • Focuses on the practical needs of engineers and engineering students
Selected Contents: Introduction. Fundamentals of Experimental Design. Principles of Quality Engineering. Utilization of Orthogonal Arrays. Quality Loss Function and Static Signal-to-Noise Ratios. Parameter Design for Static Characteristics. Parameter Design for Dynamic Characteristics. Implementing Parameter Design. Tolerance Design. Mahalanobis-Taguchi System. Response Surface Methodology. Parameter Design Using Computational Intelligence. Appendix. References. Glossary. Index.
Catalog no. K16440, February 2013, 336 pp. ISBN: 978-1-4665-6947-8, $99.95 / £63.99 Also available as an eBook
Engineering Optimization A Modern Approach Ranjan Ganguli Indian Institute of Sciences, Bangalore
This book provides a thorough understanding of the concepts of optimization methods from a modern perspective at the conceptual stage of complex technical systems. It focuses on nonlinear optimization with an emphasis on methods such as response surface and genetic algorithms. The text moves the concept of optimization from an academic setting to an industry platform yet gives a balanced treatment of classical methods, making it suitable for an undergraduate course.
Selected Contents: Basic Concepts: Statement of the Optimization Problem. Basic Definitions. Taylor Series Expansion. Quadratic Forms. Optimality Criteria for Unconstrained Optimization. Optimality Criteria for Constrained Optimization. Convexity. Examples in Engineering. Problems. Direct One-Dimensional Search: General Numerical Optimization Algorithm. Numerical Methods to Calculate Step Size. Equal-Interval Search. Golden-Section Search. Polynomial Interpolation. Inexact Line Search. Problems. Gradient-Based Methods: Properties of the Gradient Vector. Steepest-Descent Method. Rates of Convergence. Conjugate-Gradient Method. Basic Conjugate-Gradient Algorithms for Quadratic Functions. Conjugate-Gradient Directions for Quadratic Functions. Problems. Newtonian Methods: Newton's Method. Marquardt's Method. Quasi-Newton Methods. Direct-Update Methods. Broyden-Fletcher-Goldfarb-Shanno Method. Davidson-Fletcher-Powell Method. Numerical Derivatives. Automatic Differentiation. Analytical Gradients for Computational Problems. Problems. Constrained Optimization Methods: Linear Programming. The Simplex Method. Two-Phase Simplex Method. Penalty and Barrier Methods. Important Definitions. Sequential Linear Programming. Quadratic Programming. Constrained Steepest-Descent Method. Trust Region Methods. Problems. Response Surface Method: Response Surfaces. The Least-Squares Method. Two-Level Factorial Designs. Addition of Centre Points. Central Composite Design (CCD). Sequential Nature of RSM. Limitations of RSM. Other Experimental Designs. Taguchi Orthogonal Arrays. Problems. Genetic Algorithm: Optimization Problems. Binary GA. Real Coded G A. Hybrid Genetic Algorithm. Automated Hybrid Genetic Algorithm. Problems. Bibliography. Index.
Catalog no. K14838, April 2012, 264 pp. ISBN: 978-1-4665-1139-2, $119.95 / £76.99
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Quality Control & Reliability A First Course in Quality Engineering Integrating Statistical and Management Methods of Quality, Second Edition K.S. Krishnamoorthi Bradley University, Peoria, Illinois, USA
V. Ram Krishnamoorthi Loyola University Chicago, Stritch School of Medicine, Illinois, USA
Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers. This text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems. Reorganized to make the book suitable for self study, the second edition discusses how to design a Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE). PowerPoint slides, solutions manual, and test banks are available upon qualified course adoptions
Applied Reliability Third Edition Paul A. Tobias Retired, Austin, Texas, USA
David C. Trindade Bloom Energy
Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages—Minitab and SAS JMP—the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout. Software and other files are available for download online
Catalog no. C4665, August 2011, 600 pp. ISBN: 978-1-58488-466-8, $93.95 / £63.99 Also available as an eBook
Catalog no. K11869, August 2011, 634 pp. ISBN: 978-1-4398-4034-4, $139.95 / £89.00 Also available as an eBook
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Quality Control & Reliability Models of Network Reliability Analysis, Combinatorics, and Monte Carlo Ilya B. Gertsbakh Ben Gurion University, Beer Sheva, Israel
Yoseph Shpungin
Reliability Engineering and Risk Analysis A Practical Guide, Second Edition Mohammad Modarres University of Maryland, Department of Mechanical Engineering, College Park, USA
Shamoon College of Engineering, Beer Sheva, Israel
Mark Kaminskiy
Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unreliable edges and/or nodes, network lifetime distribution in the process of its destruction, network stationary behavior for renewable components, importance measures of network elements, reliability gradient, and network optimal reliability synthesis.
University of Maryland, Department of Civil & Environmental Engineering, College Park, USA
Solutions to most principal network reliability problems—including medium- sized computer networks—are presented in the form of efficient Monte Carlo algorithms and illustrated with numerical examples and tables. Written by reliability experts with significant teaching experience, this reader-friendly text is an excellent resource for software engineering, operations research, industrial engineering, and reliability engineering students, researchers, and engineers. Stressing intuitive explanations and providing detailed proofs of difficult statements, this self-contained resource includes a wealth of end-of-chapter exercises, numerical examples, tables, and offers a solutions manual—making it ideal for self-study and practical use.
Selected Contents: What is Monte Carlo Method? What is Network Reliability? Exponentially Distributed Lifetime. Static and Dynamic Reliability. Border States and Reliability Gradient. Order Statistics. Monte Carlo Estimation of Convolutions. Network Destruction. Lomonosov's "Turnip". Importance Measures and Spectrum. Optimal Network Synthesis. Dynamic Networks. Examples of Network Reliability. Appendices. References. Index.
Catalog no. K10902, December 2009, 217 pp. ISBN: 978-1-4398-1741-4, $91.95 / £58.99
Vasiliy Krivtsov Ford Motor Company, Department of Product Development Quality, Dearborn, Michigan, USA
“The arrangement of the topics is logical and concise. From the traditional introductory material to the review of reliability mathematics, the book provides information for readers who have never been exposed to reliability engineering. It then moves forward in complexity, with extensive coverage given to reliability subjects such as hardware and software reliability, reliability growth, and modeling and estimation techniques. The last chapter delves into a comprehensive discussion of risk analysis concepts and techniques. This is a very useful book for the practicing reliability engineer and can be used as a reliability engineering textbook. ... highly recommended.” —Shin Ta Liu, Lynx Systems, in ASQ's Quality Progress Reviews
Only a handful of books cover both Reliability Engineering and Probabilistic Risk Assessment (PRA) together. With a focus on reliability analysis, this text provides a practical and comprehensive overview of reliability and risk analysis techniques. This second edition features additional topics including generalized renewal with applications, more detailed Bayesian estimation methods, and estimation of bounds of repairable unit reliability and availability. With numerous illustrative examples, this book also expands discussions on the models for physics of failure type probabilistic life estimation and uncertainty analysis and presents elementary risk analysis techniques. A solutions manual is available upon qualifying course adoption
Selected Contents: Reliability Engineering in Perspective. Basic Reliability Mathematics: Review of Probability and Statistics. Elements of Component Reliability. System Reliability Analysis. Reliability and Availability of Repairable Components and Systems. Selected Topics in Reliability Modeling. Selected Topics in Reliability Data Analysis. Risk Analysis. Appendices. Index.
Catalog no. 9247, September 2009, 471 pp. ISBN: 978-0-8493-9247-4, $113.95 / £73.99 Also available as an eBook
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Manufacturing & Processing
Manufacturing Technology Materials, Processes, and Equipment Helmi A. Youssef, Hassan A. El-Hofy, and Mahmoud H. Ahmed University of Alexandria, Egypt
Individuals who will be involved in design and manufacturing of finished products need to understand the grand spectrum of manufacturing technology. Comprehensive and fundamental, Manufacturing Technology: Materials, Processes, and Equipment introduces and elaborates on the field of manufacturing technology—its processes, materials, tooling, and equipment. The book emphasizes the fundamentals of processes, their capabilities, typical applications, advantages, and limitations. Thorough and insightful, it provides mathematical modeling and equations as needed to enhance the basic understanding of the material at hand.
Features: • Presents guidelines for selecting the proper engineering materials, manufacturing processes, and equipment • Covers the basics as well as the most recent advances in manufacturing technology • Introduces new trends in surface hardening technology • Explores the environmental aspects related to manufacturing and clean factories • Explains the principles of near net shape processing, rapid prototyping, and manufacturing design • Discusses the surface characteristics as a result of manufacturing operations • Includes many solved examples, case studies, and review questions Solutions manual available upon qualifying course adoption
Designed for upper-level undergraduates in mechanical, industrial, manufacturing, and materials engineering disciplines, this book covers complete manufacturing technology courses taught in engineering colleges and institutions worldwide. The book also addresses the needs of production and manufacturing engineers and technologists participating in related industries.
Catalog no. K10541, August 2011, 947 pp. ISBN: 978-1-4398-1085-9, $146.95 / £94.00 Also available as an eBook
Product Design for Manufacture and Assembly Third Edition Geoffrey Boothroyd Boothroyd Dewhurst Inc., Wakefield, Rhode Island, USA
Peter Dewhurst and Winston A. Knight University of Rhode Island, Kingston, USA Series: Manufacturing Engineering and Materials Processing
Hailed as a groundbreaking and important textbook upon its initial publication, the latest iteration of Product Design for Manufacture and Assembly does not rest on those laurels. In addition to the expected updating of data in all chapters, this third edition has been revised to provide a top-notch textbook for university-level courses in product design and manufacturing design. The authors have added a comprehensive set of problems and student assignments to each chapter, making the new edition substantially more useful. See what’s in the Third Edition: • Updated case studies on the application of DFMA techniques • Extended versions of the classification schemes of the features of products that influence the difficulty of handling and insertion for manual, high-speed automatic, and robot assembly • Discussions of changes in the industry such as increased emphasis on the use of surface mount devices • New data on basic manufacturing processes • Coverage of powder injection molding Recognized as international experts on the reengineering of electro-mechanical products, the methods and guidelines developed by Boothroyd, Dewhurst, and Knight have been documented to provide significant savings in the product development process. Often attributed with creating a revolution in product design, the authors have been working in product design manufacture and assembly for more than 25 years. Based on theory yet highly practical, their text defines the factors that influence the ease of assembly and manufacture of products for a wide range of the basic processes used in industry. It demonstrates how to develop competitive products that are simpler in configuration and easier to manufacture with reduced overall costs.
Catalog no. 89277, December 2010, 709 pp. ISBN: 978-1-4200-8927-1, $145.95 / £93.00 Also available as an eBook
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Manufacturing & Processing Introduction to Process Control Second Edition Jose A. Romagnoli Louisiana State University, Baton Rouge, USA
Facilities Design
Ahmet Palazoglu
Third Edition
University of California, Davis, USA Series: Chemical Industries
Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition addresses issues in today’s teaching of process control.
Teaching & Learning Principles • Presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner • Uses the same problem in each chapter, culminating in a complete control design strategy • Includes 50 percent more exercises
Content • Defines the traditional and expanded roles of process control in modern manufacturing • Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steadystate and dynamic backoff as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change • Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations • Discusses the expanded role of process control in modern manufacturing, including modelcentric technologies and integrated control systems • Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture
Sunderesh S. Heragu University of Louisville, Kentucky, USA
Delineating the proper design, layout, and location of facilities, this book strikes a healthy balance between theory and practice. It provides an understanding of the practical aspects of implementing preliminary design development through analytical models. The third edition of a bestseller, it features updated multimedia tools, new software, and additional exercise problems. The text presents analytical performance evaluation models and tests them using software available for download on the web. An appendix offers queuing and queuing models along with simulation examples. Each chapter includes a set of review questions for self-study.
Features: • Addresses the practical aspects of implementation • Includes new problems, review questions, and exercises at the end of each chapter • Updates multimedia tools and software • Features advanced queuing and queuing network models
Selected Contents: Introduction to Design, Layout, and Location of Facilities. Product and Equipment Analysis. Process, Flow, and Space Analysis. Systematic Layout Planning and Implementation of a Layout Design. Basic Models and Algorithms for Facilities Layout. Software for Layout Design. Advanced Algorithms for Facilities Layout. Group Technology and Cellular Manufacturing. Materials Handling Systems. Design and Planning of Warehousing Systems. Basic Models for Facility Location. Advanced Models for Facility Location.
Catalog no. 66269, June 2008, 624 pp. ISBN: 978-1-4200-6626-5, $146.95 / £94.00 Also available as an eBook
Solutions manual available with qualifying course adoption
Catalog no. K12554, February 2012, 643 pp. ISBN: 978-1-4398-5486-0, $149.95 / £95.00 Also available as an eBook
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Manufacturing & Processing Production Planning and Industrial Scheduling Examples, Case Studies and Applications, Second Edition Dileep R. Sule Louisiana Tech University, Ruston, USA
In today's extremely competitive manufacturing market, effective production planning and scheduling processes are critical to streamlining production and increasing profits. Success in these areas means increased efficiency, capacity utilization, and reduced time required to complete jobs. From the initial stages of plant location and capacity determination to plant operations and manpower scheduling, Production Planning and Industrial Scheduling, Second Edition presents a cohesive outlook on optimization and planning. The author provides a focus on practical applications and integrates logistics and planning in the areas of production and scheduling.
Critical Techniques for Optimizing Operational Productivity Starting with the strategic development of plant locations and capacities, the book lays out a clear process for creating an effective production plan with considerations for existing production facilities. It discusses forecasting and aggregate planning, which can predict demands under scenarios. In addition, the book introduces techniques to improve plant efficiencies in various areas, as well as material requirement and inventory and capacity planning. This expanded second edition features new information on safety stock determination, uncertainty in demand, and resource center capacity planning. The problem-specific case studies illustrate the effect of different procedures on the entire system and stress coordination between independent techniques to help achieve optimal efficiency. With the aid of this reference and the proper application of its concepts, industrial managers and engineers can reduce their manufacturing cost, succeed in fulfilling their customers' demands in a timely manner, and attain superior planning and overall control of manufacturing operations.
Catalog no. 44206, October 2007, 560 pp. ISBN: 978-1-4200-4420-1, $113.95 / £73.99
Sustainable Process Engineering Concepts, Strategies, Evaluation and Implementation David Brennan Monash University, Clayton, Victoria, Australia
This book introduces chemical engineering students to key concepts, strategies, and evaluation methods in sustainable process engineering. The book is intended to supplement chemical engineering texts in fundamentals and design, rather than replace them. The key objectives of the book are to widen system boundaries beyond a process plant to include utility supplies, interconnected plants, wider industry sectors, and entire product life cycles; identify waste and its sources in process and utility systems and adopt waste minimization strategies; broaden evaluation to include technical, economic, safety, environmental, social, and sustainability criteria and to integrate the assessments; and broaden the engineering horizon to incorporate planning, development, design, and operations.
Features: • Explores the progressive response by legislators and professionals to perceived environmental damage and the concepts of sustainability, cleaner production, and industrial ecology • Discusses waste minimization strategies for reactors and separators and wider process and utility systems • Examines environmental, safety, economic, and sustainability assessments • Delineates guidelines for implementing sustainable process engineering in planning, project development, design, and operations
Selected Contents: The Progressive Response by Legislators and Professionals to Perceived Environmental Damage and the Concepts of Sustainability, Cleaner Production, and Industrial Ecology. Waste Minimization Strategies for Reactors and Separators and Wider Process and Utility Systems. Environmental, Safety, Economic, and Sustainability Assessments. Guidelines for Implementing Sustainable Process Engineering in Planning, Project Development, Design, and Operations.
Catalog no. N10505, October 2012, 422 pp. ISBN: 978-981-4316-78-1, $149.95 / £95.00 Also available as an eBook
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Engineering Management Forthcoming!
Project Management Tools and Techniques
Project Management
A Practical Guide
Adedeji B. Badiru
Deborah Sater Carstens
Air Force Institute of Technology, Dayton, Ohio, USA
Florida Institute of Technology, Melbourne, USA
Gary L. Richardson and Ronald B. Smith University of Houston, Texas, USA
This book provides a practical understanding of the tools and techniques for planning and controlling projects. It emphasizes the difference between various tools and techniques and determines how these can be applied during different phases of the project lifecycle. This book presents not only an understanding of necessary project management tools and techniques but also videos to demonstrate the concepts.
Features: • Describes PM concepts and demonstrates the concepts in Microsoft Project software on video • Incorporates lab assignments for hands-on experiences in using PM techniques and tools • Contains case studies and a solutions manual • Includes topics that are covered on the PMI certification exam Ancillary text and videos are available on a companion website: http://www.tech.uh.edu/projectnmotion/
Selected Contents: Introduction. Economic Analysis Methods. Planning Project Documentation. Duration Estimating Techniques. Activities and Relationships (Project Sequencing). First Cut Budget. Project Plan. Risk Management Considerations—Contingency Planning (Using Excel). Earned Value Theory. Project Status and Key Performance Indicators. Critical Chain Model.
Catalog no. K15046, April 2013, c. 507 pp. ISBN: 978-1-4665-1562-8, $119.95 / £76.99 Also available as an eBook
Systems, Principles, and Applications
Industrial Innovation Series
As organizations realize the benefits of PM, the need to develop effective management tools rises with the increasing complexity of new technologies and processes. Taking a systems approach to accomplishing goals and objectives, Project Management: Systems, Principles, and Applications covers contemporary tools and techniques of PM from an established pedagogical perspective. A project can be simple or complex. In each case, proven PM processes must be followed with a world systems view of the project environment. While onthe-job training is possible for many of the PM requirements, rigorous and formal training must be used. Consequently, PM resources are of high utility. This text fills the void that exists in the availability of PM resources. Although individual books dealing with management principles, optimization models, and computer tools are available, there are few guidelines for the integration of these three areas for PM purposes. This book integrates these areas into a comprehensive guide to PM. It introduces the triad approach to improve the effectiveness of PM with respect to schedule, cost, and performance constraints within the context of systems modeling. It provides details on an integrated systems PM approach that can help diminish the adverse impacts of these issues through good project planning, organizing, scheduling, and control.
Selected Contents: Introduction to Project Management. Project Planning Process. Project Organization. Project Scheduling. Project Resource Allocation. Project Control. Project Systems Engineering. Project Economics. Project Decision Analysis. Project Lean and Six Sigma Techniques. Software Tools. Case Projects.
Catalog no. 83198, December 2011, 587 pp. ISBN: 978-1-4200-8319-4, $104.95 / £66.99 Also available as an eBook
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Engineering Management Behavioral Research and Analysis An Introduction to Statistics within the Context of Experimental Design, Fourth Edition Max Vercruyssen Hawaii Academy, Honolulu, USA
Hal W. Hendrick Castle Pines Village, Colorado, USA
Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings.
Features: • Illustrates how to plan, conduct, analyze, and prepare an experimental or research report • Includes new statistical procedures that have been developed and validated since the previous edition • Incorporates SAS in the exercises at the end of each chapter • Takes into account the changes in the APA guidebook • Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption
Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community.
Selected Contents: An Overview of Scientific Research. Planning, Conducting, and Reporting Research. Methods for Describing Data. Bivariate Descriptive Statistics. Simple Experimental Designs. Simple Analysis of Variance. Multifactor Analysis of Variance. Examples of ANOVA Designs: Between Groups, Within Subjects, and Mixed Designs. Appendices.
Technical Writing A Practical Guide for Engineers and Scientists Phillip A. Laplante The Pennsylvania State University, Malvern, USA Series: What Every Engineer Should Know
Engineers and scientists of all types are often required to write reports, summaries, manuals, guides, and so forth. While these individuals certainly have had some sort of English or writing course, it is less likely that they have had any instruction in the special requirements of technical writing. Filling this void, Technical Writing: A Practical Guide for Engineers and Scientists enables readers to write, edit, and publish materials of a technical nature, including books, articles, reports, and electronic media. Written by a renowned engineer and widely published technical author, this guide complements the traditional writer’s reference manuals and other books on technical writing. It helps readers understand the practical considerations in writing technical content.
Features: • Offers precise, hands-on coverage of technical writing • Complements the traditional writer’s reference manuals and other books on technical writing • Includes a number of personal anecdotes and historical stories that serve as real-world examples of technical writing • Explores the various avenues for publishing your work • Explains how to write for blogs, social networks, and other e-media • Incorporates at least one figure, table, graphic, bullet list, or equation on most pages
Selected Contents: The Nature of Technical Writing. Technical Writing Basics. The Writing Process. Scientific Writing. Business Communications. Technical Reporting. Using Graphical Elements. Publishing Your Work. Writing for E-Media. Writing with Collaborators. Glossary. Index.
Catalog no. K11106, July 2011, 250 pp. Soft Cover ISBN: 978-1-4398-2085-8, $41.95 / £26.99 Also available as an eBook
Catalog no. K10935, October 2011, 299 pp. ISBN: 978-1-4398-1802-2, $104.95 / £66.99 Also available as an eBook
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Engineering Management A First Course in Differential Equations, Modeling, and Simulation Carlos A. Smith and Scott W. Campbell
Finite Element Simulations Using ANSYS
University of South Florida, Tampa, USA
Esam M. Alawadhi
Emphasizing a practical approach for engineers and scientists, this text avoids overly theoretical explanations and shows readers how differential equations are derived by applying basic physical principles and experimental observations to engineering systems. This resource also covers classical methods for obtaining the analytical solution of differential equations and Laplace transforms. In addition, the authors discuss how these equations describe mathematical systems and how to use software to solve sets of equations in which analytical solutions cannot be determined. Numerical values are provided in all examples and problems.
This volume focuses on the use of ANSYS in solving practical engineering problems. This book provides students and practicing engineers with the fundamental knowledge of numerical simulation using ANSYS. It treats each physical phenomenon independently in a way that enables readers to pick out single subjects or related chapters and study them as a self-contained unit. The last chapter is devoted to multi-physics analyses and problems. Additionally, the book contains a number of complete tutorials on using ANSYS for real, practical problems.
Kuwait University, Safat
Catalog no. K10098, July 2009, 416 pp. ISBN: 978-1-4398-0160-4, $139.95 / £89.00
Catalog no. K12318, May 2011, 345 pp. ISBN: 978-1-4398-5087-9, $93.95 / £59.99 Also available as an eBook
Random Phenomena Fundamentals of Probability and Statistics for Engineers
Advanced Engineering Mathematics with Modeling Applications
Babatunde A. Ogunnaike
S. Graham Kelly
University of Delaware, Newark, USA
The University of Akron, Ohio, USA
Many of the problems that engineers face involve randomly varying phenomena of one sort or another. But if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. This book provides students with a fundamental understanding of random phenomena and a working knowledge of how to model and analyze such phenomena. It explains how to use probability and statistics appropriately to deal with uncertainty in engineering problems. Basing his approach on the principle of theoretical foundations before application, Dr. Ogunnaike presents a classroom-tested course of study for understanding, characterizing, modeling, and quantifying randomly varying phenomena.
A graduate- level book presents a unique combination of theoretical mathematics and engineering applications. It demonstrates the relationship between advanced mathematics and engineering principles, introduces engineering mathematics at a theoretical level, and includes functional analysis topics such as vector spaces, inner products, and norms and develops advanced mathematical methods from this foundation. The author does not focus on proving theorems but on the application of the theorems to the solution of engineering problems.
Catalog no. 9533, December 2008, 522 pp. ISBN: 978-0-8493-9533-8, $125.95 / £79.99
Catalog no. 44974, September 2009, 1056 pp. ISBN: 978-1-4200-4497-3, $146.95 / £94.00 Also available as an eBook
For more information and complete contents, visit www.crctextbooks.com
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Systems Engineering Forthcoming!
System Dynamics and Control with Bond Graph Modeling
Modeling and Analysis of Dynamic Systems
Javier Kypuros
Ramin S. Esfandiari and Bei Lu
University of Texas, Edinburg, USA
California State University, Long Beach, USA
This textbook treats system dynamics from a bond graph perspective. It guides students from the process of modeling using bond graphs, through dynamic systems analysis in the time and frequency domains, to classical and state-space controller design. Although established texts exist for system dynamics, bond graph modeling, and automatic controls, this book combines the three into a cohesive text optimized for upper-level undergraduates. It serves as a reference for practicing engineers as well as a textbook for system dynamics and controls courses that use bond graphs. It also includes real-world challenges, vodcasts, and animated examples.
Using MATLAB® and Simulink® to perform symbolic, graphical, numerical, and simulation tasks, Modeling and Analysis of Dynamic Systems provides a thorough understanding of the mathematical modeling and analysis of dynamic systems. It meticulously covers techniques for modeling dynamic systems, methods of response analysis, and vibration and control systems.
Features: • Presents a comprehensive, unified, undergraduate treatment of system dynamics from a bond graph perspective • Includes supplemental animated examples that better illustrate synthesis and analysis procedures • Explores real-world engineering challenges to contextualize the practical use of system dynamics • Uses web-based vodcasts to demonstrate example problems interactively, step by step • Utilizes an approach that leverages strength of knowledge of one area to better understand another
Selected Contents: Dynamic System Modeling: Introduction to System Dynamics. Basic Bond Graph Elements. Bond Graph Synthesis and Equation Derivation. Impedance Bond Graphs. Mathematical Modeling and Numerical Simulation. Analysis and Control: Laplace Transforms. Time Domain Analysis. Frequency Domain Analysis. Classical Control Systems. Modern Control Systems.
Catalog no. K15910, March 2013, c. 520 pp. ISBN: 978-1-4665-6075-8, $129.95 / £82.00 Also available as an eBook
After introducing the software and essential mathematical background, the text discusses linearization and different forms of system model representation, such as state-space form and input-output equation. It then explores translational, rotational, mixed mechanical, electrical, electromechanical, pneumatic, liquid-level, and thermal systems. The authors also analyze the time and frequency domains of dynamic systems and describe free and forced vibrations of single and multiple degree-of-freedom systems, vibration suppression, modal analysis, and vibration testing. The final chapter examines aspects of control system analysis, including stability analysis, types of control, root locus analysis, Bode plot, and full-state feedback. With much of the material rigorously classroom tested, this textbook enables undergraduate students to acquire a solid comprehension of the subject. It provides at least one example of each topic, along with multiple worked-out examples for more complex topics. The text also includes many exercises in each chapter to help students learn firsthand how a combination of ideas can be used to analyze a problem. Solutions manual available upon qualifying course adoption
Selected Contents: Introduction to MATLAB and Simulink. Complex Analysis, Differential Equations, and Laplace Transformation. Matrix Analysis. System Model Representation. Mechanical Systems. Electrical, Electronic, and Electromechanical Systems. Fluid and Thermal Systems. System Response. Introduction to Vibrations. Introduction to Feedback Control Systems. Appendices. Index.
Catalog no. K10418, March 2010, 454 pp. ISBN: 978-1-4398-0845-0, $145.95 / £93.00 Also available as an eBook
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Systems Engineering
Design of Enterprise Systems
Systems Architecting
Theory, Architecture, and Methods
A Business Perspective
Ronald E. Giachetti
Gerrit Muller
Florida International University, Miami, USA
Embedded System Institute, The Netherlands
Specifically written for graduate and undergraduate courses, this book provides the knowledge and skills necessary to lead enterprise engineering projects. The book describes a systematic methodology to design an enterprise system and presents an enterprise architecture that has three views of process, information, and organization. The text includes methods to analyze and design each view and then demonstrates how to integrate them to arrive at the overall enterprise design.
Derived from industry-training classes that the author teaches at the Embedded Systems Institute at Eindhoven, the Netherlands and at Buskerud University College at Kongsberg in Norway, Systems Architecting: A Business Perspective places the processes of systems architecting in a broader context by juxtaposing the relationship of the systems architect with enterprise and management. This practical, scenario-driven guide fills an important gap, providing systems architects insight into the business processes, and especially into the processes to which they actively contribute.
Features: • Focuses on enterprise engineering, with explanations of best practices and examples for each technique • Describes a systematic methodology for designing an enterprise system • Presents an enterprise design project and a deliverable in each chapter to illustrate how the concepts are applied in practice • Supplies a software application called the Business Process Analyzer that implements a queueing network model to estimate the cycle time, throughput rate, and waiting time of business processes • Includes methods to analyze and design each view and then demonstrates how to integrate them to arrive at the overall enterprise design A solutions manual and PowerPoint slides are available upon qualified course adoption.
Selected Contents: Enterprise Engineering. Enterprise Engineering. Systems Theory. Modeling Concepts. Enterprise Design Methodology. Enterprise Architecture. Enterprise Analysis & Design Methodology. Enterprise Project. Strategy. Problem Formulation & Requirements. Generate & Evaluate Alternatives. Process. Process Modeling. Queueing Theory. Process Analysis. Process Design. Information. Information Modeling. Organization. Organization Modeling. Integration. Enterprise Integration Technology.
The book uses a simple reference model to enable understanding of the inside of a system in relation to its context. It covers the impact of tool selection and brings balance to the application of the intellectual tools versus computer-aided tools. Stressing the importance of a clear strategy, the authors discuss methods and techniques that facilitate the architect’s contribution to the strategy process. They also give insight into the needs and complications of harvesting synergy, insight that will help establish an effective synergy-harvesting strategy. The book also explores the often difficult relationship between managers and systems architects. Written in an approachable style, the book discusses the breadth of the human sciences and their relevance to systems architecting. It highlights the relevance of human aspects to systems architects, linking theory to practical experience when developing systems architecting competence.
Catalog no. K12115, September 2011, 263 pp. ISBN: 978-1-4398-4762-6, $93.95 / £59.99 Also available as an eBook
Catalog no. K10955, January 2010, 447 pp. ISBN: 978-1-4398-1823-7, $109.95 / £69.99 Also available as an eBook
For more information and complete contents, visit www.crctextbooks.com
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Systems Engineering Modeling and Simulation of Systems Using MATLAB® and Simulink® Devendra K. Chaturvedi
Modeling and Control of Engineering Systems Clarence W. de Silva
Faculty of Engineering, Dayalbagh Educational Institute, India
University of British Columbia, Vancouver, Canada
Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. This book provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB® and Simulink® software to successfully apply the modeling and simulation techniques presented.
This text provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and then systematically covers conventional, advanced, and intelligent control, instrumentation, experimentation, and design. It takes an integrated approach to modeling multidomain systems that draws from equivalent circuits, Thevenin’s theorem, and linear graphs. It also presents important aspects of laboratory experimentation, including control system instrumentation. The author discusses the use of MATLAB®, Simulink®, LabVIEW™, and the associated toolboxes and includes numerous real-world examples, problems, and exercises.
Catalog no. K10335, December 2009, 733 pp. ISBN: 978-1-4398-0672-2, $146.95 / £94.00
Catalog no. 76868, August 2009, 796 pp. ISBN: 978-1-4200-7686-8, $139.95 / £89.00
Fundamentals of Linear Systems for Physical Scientists and Engineers
The Art of Systems Architecting Aerospace Corporation, Chantilly, Virginia, USA
N. N. Puri
Eberhardt Rechtin
Rutgers University, New Brunswick, New Jersey, USA
The book draws from diverse areas of engineering and the physical sciences to cover the fundamentals of linear systems. Original proofs, hundreds of examples, and proven theorems illustrate and clarify the material. An extensive table provides Lyapunov functions for differential equations and conditions of stability for the equilibrium solutions. In an intuitive, step-by-step manner, the book covers a breadth of highly relevant topics in linear systems theory from the introductory level to a more advanced level. The chapter on stochastic processes makes it invaluable for financial engineering applications.
Catalog no. K10583, October 2009, 899 pp. ISBN: 978-1-4398-1157-3, $113.95 / £73.99
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Third Edition Mark W. Maier
Series: Systems Engineering
The third edition of this bestselling text explains how to create a system from scratch, presenting invention/design rules together with clear explanations of how to use them. The author supplies practical guidelines for avoiding common systematic failures while implementing new mandates. Examining architecture as more than a set of diagrams and documents, but as a set of decisions that either drive a system to success or doom it to failure, the book provides methods for integrating business strategy with technical architectural decision making.
Catalog no. 79131, January 2009, 472 pp. ISBN: 978-1-4200-7913-5, $113.95 / £73.99 Also available as an eBook
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