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• Title:Simulation with Arena / W. David Kelton, Professor Department of Operations, Business Analytics, and Information Systems University of Cincinnati, Randall P. Sadowski, Retired, Nancy B. Zupick, Manager.
  
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• Author/Creator:Kelton, W. David.
  
• Other Contributors/Collections:Sadowski, Randall P.
  Zupick, Nancy B.
  
• Published/Created:New York, N.Y. : McGraw-Hill Education, [2015]
  

• Holdings

  Holdings Record Display

  • Location:DAVID LAM LIBRARY stacksWhere is this?
    
  • Call Number: QA76.9.C65 K45 2015
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Computer simulation.
  
• Medical Subjects: Computer Simulation
  
• Subject(s):Arena (Computer file)
  
• Edition:Sixth edition.
  
• Description:xix, 635 pages : illustrations ; 24 cm
  
• Notes:Includes bibliographical references (pages 615-617) and index.
  
• ISBN:9780073401317 (alk. paper)
  0073401315 (alk. paper)
  9781259254369
  1259254364
  
• Contents:Machine generated contents note: 1.1. Modeling
  1.1.1. What's Being Modeled?
  1.1.2. How About Just Playing with the System?
  1.1.3. Sometimes You Can't (or Shouldn't) Play with the System
  1.1.4. Physical Models
  1.1.5. Logical (or Mathematical) Models
  1.1.6. What Do You Do with a Logical Model?
  1.2. Computer Simulation
  1.2.1. Popularity and Advantages
  1.2.2. Bad News
  1.2.3. Different Kinds of Simulations
  1.3. oHow Simulations Get Done
  1.3.1. By Hand
  1.3.2. Programming in General-Purpose Languages
  1,3.3. Simulation Languages
  1.3.4. High-Level Simulators
  1.3.5. Where Arena Fits In
  1.4. When Simulations Are Used
  1.4.1. Early Years
  1.4.2. Formative Years
  1.4.3. Recent Past
  1.4.4. Present
  1.4.5. Future
  2.1. Example
  2.1.1. System
  2.1.2. Goals of the Study
  2.2. Analysis Options
  2.2.1. Educated Guessing
  2.2.2. Queueing Theory
  2.2.3. Mechanistic Simulation
  2.3. Pieces of a Simulation Model
  2.3.1. Entities
  2.3.2. Attributes
  2.3.3. (Global) Variables
  2.3.4. Resources
  2.3.5. Queues
  2.3.6. Statistical Accumulators
  2.3.7. Events
  2.3.8. Simulation Clock
  2.3.9. Starting and Stopping
  2.4. Event-Driven Hand Simulation
  2.4.1. Outline of the Action
  2.4.2. Keeping Track of Things
  2.4.3. Carrying It Out
  2.4.4. Finishing Up
  2.5. Event- and Process-Oriented Simulation
  2.6. Randomness in Simulation
  2.6.1. Random Input, Random Output
  2.6.2. Replicating the Example
  2.6.3. Comparing Alternatives
  2.7. Simulating with Spreadsheets
  2.7.1. News Vendor Problem
  2.7.2. Single-Server Queue
  2.7.3. Extensions and Limitations
  2.8. Overview of a Simulation Study
  2.9. Exercises
  3.1. Starting Up
  3.2. Exploring the Arena Window
  3.2.1. Opening a Model
  3.2.2. Basic Interaction and Pieces of the Arena Window
  3.2.3. Panning, Zooming, Viewing, and Aligning in the Flowchart View
  3.2.4. Modules
  3.2.5. Internal Model Documentation
  3.3. Browsing Through an Existing Model: Model 3-1
  3.3.1. Create Flowchart Module
  3.3.2. Entity Data Module
  3.3.3. Process Flowchart Module
  3.3.4. Resource Data Module
  3.3.5. Queue Data Module
  3.3.6. Animating Resources and Queues
  3.3.7. Dispose Flowchart Module
  3.3.8. Connecting Flowchart Modules
  3.3.9. Dynamic Plots
  3.3.10. Dressing Things Up
  3.3.11. Setting the Run Conditions
  3.3.12. Running It
  3.3.13. Viewing the Reports
  3.4. Building Model 3-1 Yourself
  3.4.1. New Model Window and Basic Process Panel
  3.4.2. Place and Connect the Flowchart Modules
  3.4.3. Create Flowchart Module
  3.4.4. Displays
  3.4.5. Entity Data Module
  3.4.6. Process Flowchart Module
  3.4.7. Resource and Queue Data Modules
  3.4.8. Resource Animation
  3.4.9. Dispose Flowchart Module
  3.4.10. Dynamic Plots
  3.4.11. Window Dressing
  3.4.12. Run > Setup Dialog Boxes
  3.4.13. Establishing Named Views
  3.5. Case Study: Specialized Serial Processing vs. Generalized Parallel Processing
  3.5.1. Model 3-2: Serial Processing - Specialized Separated Work
  3.5.2. Model 3-3: Parallel Processing.: Generalized Integrated Work
  3.5.3. Models 3-4 and 3-5: The Effect of Task-Time Variability
  3.6. More on Menus, Toolbars, Drawing, and Printing
  3.6.1. Menus
  3.6.2. Toolbars
  3.6.3. Drawing
  3.6.4. Printing
  3.7. Help!
  3.8. More on Running Models
  3.9. Summary and Forecast
  3.10. Exercises
  4.1. Model 4-1: An Electronic Assembly and Test System
  4.1.1. Developing a Modeling Approach
  4.1.2. Building the Model
  4.1.3. Running the Model
  4.1.4. Viewing the Results
  4.2. Model 4-2: The Enhanced Electronic Assembly and Test System
  4.2.1. Expanding Resource Representation: Schedules and States
  4.2.2. Resource Schedules
  4.2.3. Resource Failures
  4.2.4. Frequencies
  4.2.5. Results of Model 4-2
  4.3. Model 4-3: Enhancing the Animation
  4.3.1. Changing Animation Queues
  4.3.2. Changing Entity Pictures
  4.3.3. Adding Resource Pictures
  4.3.4. Adding Variables and Plots
  4.4. Model 4-4: The Electronic Assembly and Test System with Part Transfers
  4.4.1. Some New Arena Concepts: Stations and Transfers
  4.4.2. Adding the Route Logic
  4.4.3. Altering the Animation
  4.5. Finding and Fixing Errors
  4.6. Input Analysis: Specifying Model Parameters and Distributions
  4.6.1. Deterministic vs. Random Inputs
  4.6.2. Collecting Data
  4.6.3. Using Data
  4.6.4. Fitting Input Distributions via the Input Analyzer
  4.6.5. No Data?
  4.6.6. Nonstationary Arrival Processes
  4.6.7. Multivariate and Correlated Input Data
  4.7. Summary and Forecast
  4.8. Exercises
  5.1. Model 5-1: A Simple Call Center System
  5.2. New Modeling Issues
  5.2.1. Customer Rejections and Balking
  5.2.2. Three-Way Decisions
  5.2.3. Variables and Expressions
  5.2.4. Storages
  5.2.5. Terminating or Steady State
  5.3. Modeling Approach
  5.4. Building the Model
  5.4.1. Create Arrivals and Direct to Service
  5.4.2. Arrival Cutoff Logic
  5.4.3. Technical Support Calls
  5.4.4. Sales Calls
  5.4.5. Order-Status Calls
  5.4.6. System Exit and Run Setup
  5.4.7. Animation
  5.5. Model 5-2: The Enhanced Call Center System
  5.5.1. New Problem Description
  5.5.2. New Concepts
  5.5.3. Defining the Data
  5.5.4. Modifying the Model
  5.6. Model 5-3: The Enhanced Call Center with More Output Performance Measures
  5.7. Model 5-4: An (s, S) Inventory Simulation
  5.7.1. System Description
  5.7.2. Simulation Model
  5.8. Summary and Forecast
  5.9. Exercises
  6.1. Time Frame of Simulations
  6.2. Strategy for Data Collection and Analysis
  6.3. Confidence Intervals for Terminating Systems
  6.4. Comparing Two Scenarios
  6.5. Evaluating Many Scenarios with the Process Analyzer (PAN)
  6.6. Searching for an Optimal Scenario with OptQuest
  6.7. Periodic Statistics
  6.8. Summary and Forecast
  6.9. Exercises
  7.1. Model 7-1: A Small Manufacturing System
  7.1.1. New Arena Concepts
  7.1.2. Modeling Approach
  7.1.3. Data Modules
  7.1.4. Logic Modules
  7.1.5. Animation
  7.1.6. Verification
  7.2. Statistical Analysis of Output from Steady-State Simulations
  7.2.1. Warm-up and Run Length
  7.2.2. Truncated Replications
  7.2.3. Batching in a Single Run
  7.2.4. What To Do?
  7.2.5. Other Methods and Goals for Steady-State Statistical Analysis
  7.3. Summary and Forecast
  7.4. Exercises
  8.1. Types of Entity Transfers
  8.2. Model 8-1: The Small Manufacturing System with Resource-Constrained Transfers
  8.3. Small Manufacturing System with Transporters
  8.3.1. Model 8-2: The Modified Model 8-1 for Transporters
  8.3.2. Model 8-3: Refining the Animation for Transporters
  8.4. Conveyors
  8.4.1. Model 8-4: The Small Manufacturing System with Nonaccumulating Convenyors
  8.4.2. Model 8-5: The Small Manufacturing System with Accumulating Conveyors
  8.5. Summary and Forecast
  8.6. Exercises
  9.1. Modeling Conveyors Using the Advanced Transfer Panel
  9.1.1. Model 9-1: Finite Buffers at Stations
  9.1.2. Model 9-2: Parts Stay on Conveyor During Processing
  9.2. More on Transporters
  9.3. Entity Reneging
  9.3.1. Entity Balking and Reneging
  9.3.2. Model 9-3: A Service Model with Balking and Reneging
  9.4. Holding and Batching Entities
  9.4.1. Modeling Options
  9.4.2. Model 9-4: A Batching Process Example
  9.5. Overlapping Resources
  9.5.1. System Description
  9.5.2. Model 9-5: A Tightly Coupled Production System
  9.5.3. Model 9-6: Adding Part-Status Statistics
  9.6. Few Miscellaneous Modeling Issues
  9.6.1. Guided Transporters
  9.6.2. Parallel Queues
  9.6.3. Decision Logic
  9.7. Exercises
  10.1. Model 10-1: Reading and Writing Data Files
  10.1.1. Model 10-2: Reading Entity Arrivals from a Text File
  10.1.2. Model 10-3 and Model 10-4: Reading and Writing Access and Excel Files
  10.1.3. Advanced Reading and Writing
  10.1.4. Model 10-5: Reading in String Data
  10.1.5. Direct Read of Variables and Expressions
  10.2. VBA in Arena
  10.2.1. Overview of ActiveX Automation and VBA
  10.2.2. Built-In Arena VBA Events
  10.2.3. Arena's Object Model
  10.2.4. Arena's Macro Recorder
  10.3. Model 10-6: Presenting Arrival Choices to the User
  10.3.1. Modifying the Creation Logic
  10.3.2. Designing the VBA UserForm
  10.3.3. Displaying the Form and Setting Model Data
  10.4. Model 10-7: Recording and Charting Model Results in Microsoft Excel
  10.4.1. Setting Up Excel at the Beginning of the Run
  10.4.2. Storing Individual Call Data Using the VBA Module
  10.4.3. Charting the Results and Cleaning Up at the End of the Run
  10.5. Arena Template Building Capabilities
  10.6. Arena Visual Designer
  10.6.1. Overview of Visual Designer
  10.6.2. Dashboards
  10.6.3. 3D Scenes
  10.7. Summary and Forecast
  10.8. Exercises
  11.1. Modeling Simple Discrete/Continuous Systems
  11.1.1. Model 11-1: A Simple Continuous System
  11.1.2. Model 11-2: Interfacing Continuous and Discrete Logic
  11.2. Coal-Loading Operation
  11.2.1. System Description
  11.2.2. Modeling Approach
  11.2.3. Model 11-3: Coal Loading with Continuous Approach
  Contents note continued: 11.2.4. Model 11-4: Coal Loading with Flow Process
  11.3. Continuous State-Change Systems
  11.3.1. Model 11-5: A Soaking-Pit Furnace
  11.3.2. Modeling Continuously Changing Rates
  11.3.3. Arena's Approach for Solving Differential Equations
  11.3.4. Building the Model
  11.3.5. Defining the Differential Equations Using VBA
  11.4. Summary and Forecast
  11.5. Exercises
  12.1. Random-Number Generation
  12.2. Generating Random Variates
  12.2.1. Discrete
  12.2.2. Continuous
  12.3. Nonstationary Poisson Processes
  12.4. Variance Reduction
  12.4.1. Common Random Numbers
  12.4.2. Other Methods
  12.5. Sequential Sampling
  12.5.1. Terminating Models
  12.5.2. Steady-State Models
  12.6. Designing and Executing Simulation Experiments
  12.7. Exercises
  13.1. Successful Simulation Study
  13.2. Problem Formulation
  13.3. Solution Methodology
  13.4. System and Simulation Specification
  13.5. Model Formulation and Construction
  13.6. Verification and Validation
  13.7. Experimentation and Analysis
  13.8. Presenting and Preserving the Results
  13.9. Disseminating the Model
  A.1. Introduction
  A.1.1. Document Organization
  A.1.2. Simulation Objectives
  A.1.3. Purpose of the Functional Specification
  A.1.4. Use of the Model
  A.1.5. Hardware and Software Requirements
  A.2. System Description and Modeling Approach
  A.2.1. Model Timeline
  A.2.2. Presses
  A.2.3. Product Types
  A.2.4. Press Packaging Lines
  A.2.5. Tray System
  A.2.6. Truck Arrivals
  A.2.7. Docks
  A.2.8. Palletizers
  A.2.9. Manual Insertion Process
  A.3. Anination
  A.4. Summary of Input and Output
  A.4.1. Model Input
  A.4.2. Model Output
  A.5. Project Deliverables
  A.5.1. Simulation Model Documentation
  A.5.2. User's Manual
  A.5.3. Model Validation
  A.5.4. Animation
  A.6. Acceptance
  B.1. Probability Basics
  B.2. Random Variables
  B.2.1. Basics
  B.2.2. Discrete
  B.2.3. Continuous
  B.2.4. Joint Distributions, Covariance, Correlation, and Independence
  B.3. Sampling and Sampling Distributions
  B.4. Point Estimation
  B.5. Confidence Intervals
  B.6. Hypothesis Tests
  B.7. Exercises
  C.1. Beta
  C.2. Continuous
  C.3. Discrete
  C.4. Erlang
  C.5. Exponential
  C.6. Gamma
  C.7. Johnson
  C.8. Lognormal
  C.9. Normal
  C.10. Poisson
  C.11. Triangular
  C.12. Uniform
  C.13. Weibull
  D.1. Authorization to Copy Software
  D.2. Installing the Arena Software
  D.3. System Requirements.