Introduction to Industrial Engineering

Introduction to Industrial Engineering

Author: Avraham Shtub

Publisher: CRC Press

Published: 2015-12-22

Total Pages: 424

ISBN-13: 1498706029

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A Firsthand Look at the Role of the Industrial Engineer The industrial engineer helps decide how best to utilize an organization’s resources to achieve company goals and objectives. Introduction to Industrial Engineering, Second Edition offers an in-depth analysis of the industrial engineering profession. While also providing a historical perspective chronicling the development of the profession, this book describes the standard duties performed, the tools and terminologies used, and the required methods and processes needed to complete the tasks at hand. It also defines the industrial engineer’s main areas of operation, introduces the topic of information systems, and discusses their importance in the work of the industrial engineer. The authors explain the information system concept, and the need for integrated processes, supported by modern information systems. They also discuss classical organizational structures (functional organization, project organization, and matrix organization), along with the advantages and disadvantages of their use. The book includes the technological aspects (data collection technologies, databases, and decision-support areas of information systems), the logical aspects (forecasting models and their use), and aspects of principles taken from psychology, sociology, and ergonomics that are commonly used in the industry. What’s New in this Edition: The second edition introduces fields that are now becoming a part of the industrial engineering profession, alongside conventional areas (operations management, project management, quality management, work measurement, and operations research). In addition, the book: Provides an understanding of current pathways for professional development Helps students decide which area to specialize in during the advanced stages of their studies Exposes students to ergonomics used in the context of workspace design Presents key factors in human resource management Describes frequently used methods of teaching in the field Covers basic issues relative to ergonomics and human–machine interface Introduces the five basic processes that exist in many organizations Introduction to Industrial Engineering, Second Edition establishes industrial engineering as the organization of people and resources, describes the development and nature of the profession, and is easily accessible to anyone needing to learn the basics of industrial engineering. The book is an indispensable resource for students and industry professionals.


Operations Engineering and Management: Concepts, Analytics and Principles for Improvement

Operations Engineering and Management: Concepts, Analytics and Principles for Improvement

Author: Seyed Iravani

Publisher: McGraw Hill Professional

Published: 2020-10-16

Total Pages: 862

ISBN-13: 126046184X

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Discover how to apply engineering thinking and data analytics to business operations This comprehensive textbook shows readers how to develop their engineering thinking and analytics to support making strategic and tactical decisions in managing and control of operations systems and supply chains. The book is created in a modular fashion so that sections and chapters can stand alone and be used within operations courses across the spectrum. Operations Engineering and Management: Concepts, Analytics and Principles for Improvement is based on the author’s successful classes in both business and engineering. The book presents concepts and principles of operations management, with a strong emphasis on analytics and a sharp focus on improving operations. You will explore both the engineering approach to operations (e.g., analytics and engineering thinking) and the classic management approach. • Focuses on teaching and developing strong problem-solving analytics skills • Each section is designed to stand alone and can be used in a wide variety of courses • Written by an operations management and engineering expert


Computational Intelligence Systems in Industrial Engineering

Computational Intelligence Systems in Industrial Engineering

Author: Cengiz Kahraman

Publisher: Springer Science & Business Media

Published: 2012-11-05

Total Pages: 683

ISBN-13: 9491216775

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Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.


Introduction to Service Engineering

Introduction to Service Engineering

Author: Waldemar Karwowski

Publisher: John Wiley & Sons

Published: 2010-01-12

Total Pages: 672

ISBN-13: 0470382414

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What you need to know to engineer the global service economy. As customers and service providers create new value through globally interconnected service enterprises, service engineers are finding new opportunities to innovate, design, and manage the service operations and processes of the new service-based economy. Introduction to Service Engineering provides the tools and information a service engineer needs to fulfill this critical new role. The book introduces engineers as well as students to the fundamentals of the theory and practice of service engineering, covering the characteristics of service enterprises, service design and operations, customer service and service quality, web-based services, and innovations in service systems. Readers explore such key aspects of service engineering as: The role of service science in developing a smarter planet Service enterprises, including: enterprise value creation, architecture of service organizations, service enterprise modeling, and the application of methods of systems engineering to services Service design, including collaborative e-service systems and the new service development process Service operations and management, including service call centers Service quality, from design operations to customer relations Web-based services and technology in the global e-organization Innovation in service systems from service engineering to integrative solutions, service-oriented architecture solutions, and technology transfer streams With chapters written by fifty-seven specialists and edited by bestselling authors Gavriel Salvendy and Waldemar Karwowski, Introduction to Service Engineering uses numerous examples, problems, and real-world case studies to help readers master the knowledge and the skills required to succeed in service engineering.


Introduction to Management Science

Introduction to Management Science

Author: Frederick Stanton Hillier

Publisher:

Published: 2004-01

Total Pages: 870

ISBN-13: 9780071238106

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Introduction to Management Science, 2e offers a unique case study approach and integrates the use of Excel. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. This most recent revision has been thoroughly updated to be more "user-friendly" and more technologically advanced. These changes include, a completely new chapter on the art of modeling with spreadsheets. This unique chapter goes far beyond anything found in other textbooks and are based on the award winning methodologies used by Mark Hillier in his own course. The technology package has also been greatly enhanced to include, Crystal Ball 2000 (Professional Edition) a Management Science Online Learning Center, and an Excel add-in called Alver Table for performing sensitivity analysis. Crystal Ball is the most popular Excel add-in for computer simulation and includes OptQuest (an optimizer with simulation) as well as a forecasting module. The Management Science Online Learning Center (website) includes several modules that enable students to interactively explore certain management science techniques in depth. Solver Table is an Excel add-in developed by the author to help perform sensitivity analysis systematically, as well as substantially expanded coverage of computer simulation, including Crystal Ball. We now have two chapters on computer simulation instead of one, where the second chapter features the use of Crystal Ball.all.


Trade-off Analytics

Trade-off Analytics

Author: Gregory S. Parnell

Publisher: John Wiley & Sons

Published: 2016-10-25

Total Pages: 640

ISBN-13: 1119238307

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Presents information to create a trade-off analysis framework for use in government and commercial acquisition environments This book presents a decision management process based on decision theory and cost analysis best practices aligned with the ISO/IEC 15288, the Systems Engineering Handbook, and the Systems Engineering Body of Knowledge. It provides a sound trade-off analysis framework to generate the tradespace and evaluate value and risk to support system decision-making throughout the life cycle. Trade-off analysis and risk analysis techniques are examined. The authors present an integrated value trade-off and risk analysis framework based on decision theory. These trade-off analysis concepts are illustrated in the different life cycle stages using multiple examples from defense and commercial domains. Provides techniques to identify and structure stakeholder objectives and creative, doable alternatives Presents the advantages and disadvantages of tradespace creation and exploration techniques for trade-off analysis of concepts, architectures, design, operations, and retirement Covers the sources of uncertainty in the system life cycle and examines how to identify, assess, and model uncertainty using probability Illustrates how to perform a trade-off analysis using the INCOSE Decision Management Process using both deterministic and probabilistic techniques Trade-off Analytics: Creating and Exploring the System Tradespace is written for upper undergraduate students and graduate students studying systems design, systems engineering, industrial engineering and engineering management. This book also serves as a resource for practicing systems designers, systems engineers, project managers, and engineering managers. Gregory S. Parnell, PhD, is a Research Professor in the Department of Industrial Engineering at the University of Arkansas. He is also a senior principal with Innovative Decisions, Inc., a decision and risk analysis firm and has served as Chairman of the Board. Dr. Parnell has published more than 100 papers and book chapters and was lead editor of Decision Making for Systems Engineering and Management, Wiley Series in Systems Engineering (2nd Ed, Wiley 2011) and lead author of the Handbook of Decision Analysis (Wiley 2013). He is a fellow of INFORMS, the INCOSE, MORS, and the Society for Decision Professionals.


Stochastic Simulation: Algorithms and Analysis

Stochastic Simulation: Algorithms and Analysis

Author: Søren Asmussen

Publisher: Springer Science & Business Media

Published: 2007-07-14

Total Pages: 490

ISBN-13: 0387690336

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Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. Exercises and illustrations are included.