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Introduction To Operations Research

Author: Frederick Hillier
Publisher: McGraw-Hill Higher Education
ISBN: 0073520578
Size: 43.84 MB
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For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.

Supply Chain Engineering

Author: A. Ravi Ravindran
Publisher: CRC Press
ISBN: 1466583320
Size: 14.19 MB
Format: PDF, ePub
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Winner of 2013 IIE/Joint Publishers Book-of-the-Year Award 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.

Deterministic Operations Research

Author: David J. Rader
Publisher: John Wiley & Sons
ISBN: 1118627350
Size: 51.52 MB
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Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas’ Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms. Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the “story” of how to both model and solve optimization problems by using the specific problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with Maple™ and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work.

Introduction To Engineering Statistics And Lean Sigma

Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 9781849960007
Size: 33.49 MB
Format: PDF
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Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Service Systems Management And Engineering

Author: Ching M. Chang
Publisher: John Wiley & Sons
ISBN: 1119507545
Size: 70.22 MB
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The ultimate instructional guide to achieving success in the service sector Already responsible for employing the bulk of the U.S. workforce, service-providing industries continue to increase their economic dominance. Because of this fact, these companies are looking for talented new service systems engineers to take on strategic and operational challenges. This instructional guide supplies essential tools for career seekers in the service field, including techniques on how to apply scientific, engineering, and business management principles effectively to integrate technology into the workplace. This book provides: Broad-based concepts, skills, and capabilities in twelve categories, which form the "Three-Decker Leadership Architecture," including creative thinking and innovations in services, knowledge management, and globalization Materials supplemented and enhanced by a large number of case studies and examples Skills for successful service engineering and management to create strategic differentiation and operational excellence for service organizations Focused training on becoming a systems engineer, a critically needed position that, according to a 2009 Moneyline article on the best jobs in America, ranks at the top of the list Service Systems Management and Engineering is not only a valuable addition to a college classroom, but also an extremely handy reference for industry leaders looking to explore the possibilities presented by the expanding service economy, allowing them to better target strategies for greater achievement. The book was recently awarded the 2011 Best Book Award by the International Association for Management of Technology (IAMOT.)

Ampl

Author: Robert Fourer
Publisher: Cengage Learning
ISBN: 9780534378950
Size: 71.16 MB
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AMPL Plus for Windows offers students a powerful, easy-to-use modeling environment for problems in linear, nonlinear, network and integer programming. A full-featured version of AMPL, AMPL Plus accepts problems with up to 300 variables and 300 constraints and gives students full access to algorithmic options. With AMPL Plus, all the skills that students learn transfer directly to the job environment. The accompanying textbook introduces the concepts and implementation of optimization modeling as well as all aspects of the AMPL modeling language.

Spreadsheet Modeling Decision Analysis A Practical Introduction To Business Analytics

Author: Cliff Ragsdale
Publisher: Cengage Learning
ISBN: 130594741X
Size: 25.65 MB
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Written by an innovator in teaching spreadsheets and a highly regarded leader in business analytics, Cliff Ragsdale’s SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS ANALYTICS, 8E helps readers master important spreadsheet and business analytics skills. Readers find everything needed to become proficient in today’s most widely used business analytics techniques using Microsoft Office Excel 2016. Learning to make effective decisions in today's business world takes training and experience. Author Cliff Ragsdale guides learners through the skills needed, using the latest Excel for Windows. Readers apply what they’ve learned to real business situations with step-by-step instructions and annotated screen images that make examples easy to follow. The World of Management Science sections further demonstrates how each topic applies to a real company. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction To Human Factors And Ergonomics Fourth Edition

Author: Robert Bridger
Publisher: CRC Press
ISBN: 149879596X
Size: 32.98 MB
Format: PDF
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Building on the success of previous editions, the 4th edition of ‘Introduction to Human Factors and Ergonomics’ provides a comprehensive and up to date introduction to the field. The new edition places the subject matter into a system context using a human-machine model to structure the chapters and a knowledge application model to structure the organisation of material in each chapter. Every chapter covers: Core Concepts, Basic Applications, Tools and Processes, and System Integration issues regardless of topic. Includes over 200 exercises and essays (at least ten per chapter). An Instructor’s Manual, A Guide to Tutorials and Seminars and and over 500 powerpoint slides are available for academic users from the publisher. All chapters contain ‘HFE Workshop’ sections with practical guidance and worked examples. Please see the TOC for more information.

An Introduction To Management Science Quantitative Approaches To Decision Making

Author: David R. Anderson
Publisher: Cengage Learning
ISBN: 1305544668
Size: 16.60 MB
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Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.