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Ebook Beyond lean simulation in practice (2nd edition): Part 1

(BQ) Part 1 book "Beyond lean simulation in practice" has contents: Beyond lean - Process and principles; simulation modeling; modeling random quantities, conducting simulation experiments; the simulation engine; a single workstation; serial systems,.and other contents. | Beyond Lean: Simulation in Practice Charles R. Standridge, Ph.D. SECOND EDITION Beyond Lean: Simulation in Practice Second Edition ©Charles R. Standridge, Ph.D. Professor of Engineering Assistant Dean Padnos College of Engineering and Computing Grand Valley State University 301 West Fulton Grand Rapids, MI 49504 616-331-6759 Email:standric@gvsu.edu Fax: 616-331-7215 December, 2011 Second Edition: April, 2013 Table of Contents Preface Part I Introduction and Methods 1. Beyond Lean: Process and Principles 1.1 Introduction 1.2 An Industrial Application of Simulation 1.3 The Process of Validating a Future State with Models 1.4 Principles for Simulation Modeling and Experimentation 1.5 Approach 1.6 Summary Questions for Discussion Active Learning Exercises 2. Simulation Modeling 2.1 Introduction 2.2 Elementary Modeling Constructs 2.3 Models of System Components 2.3.1 Arrivals 2.3.2 Operations 2.3.3 Routing Entities 2.3.4 Batching 2.3.5 Inventories 2.4 Summary Problems 3. Modeling Random Quantities 3.1 Introduction 3.2 Determining a Distribution in the Absence of Data 3.2.1 Distribution Functions Used in the Absence of Data 3.2.2 Selecting Probability Distributions in the Absence of Data – An Illustration 3.3 Fitting a Distribution Function to Data 3.3.1 Some Common Data Problems 3.3.2 Distribution Functions Most Often Used in a Simulation Model 3.3.3 A Software Based Approach to Fitting a Data Set to a Distribution Function 3.4 Summary Problems Active Learning Exercises Laboratories Bibliography iv 4. 5. Conducting Simulation Experiments 4.1 Introduction 4.2 Verfication and Validation 4.2.1 Verification Procedures 4.2.2 Validation Procedures 4.3 The Problem of Correlated Observations 4.4 Common Design Elements 4.4.1 Model Parameters and Their Values 4.4.2 Performance Measures 4.4.3 Streams of Random Samples 4.5 Design Elements Specific to Terminating Simulation Experiments 4.5.1 Initial Conditions 4.5.2 Replicates 4.5.3 Ending the Simulation 4.5.4 .