Table of Contents

• List of Figures
• List of Tables
• I. Introduction
  • 1. Basic Concepts
    • 1.1. What Is Discrete Event Simulation?
    • 1.2. Object Event Modeling and Simulation
    • 1.3. Model-Driven Engineering
  • 2. Visual Modeling
    • 2.1. Information Modeling with UML Class Diagrams
    • 2.2. Process Modeling with BPMN and DPMN
  • 3. Discrete Event Processes
    • 3.1. Discrete Processes and Event Graphs
    • 3.2. From Object Event Graphs to Activity Networks
    • 3.3. From Activity Networks to Processing Networks
• II. Event-Based Simulation
  • 4. Event-Based Simulation without Objects
    • 4.1. The ES Formalism
    • 4.2. Event Graphs
  • 5. Event-Based Simulation with Objects
    • 5.1. Object Event Graphs
    • 5.2. The OES Formalism
  • 6. Object Event Simulation with OESjs
    • 6.1. Simulation Time
    • 6.2. Simulation Models
    • 6.3. Simulation Scenarios
    • 6.4. Statistics
    • 6.5. Simulation Experiments
    • 6.6. Using the Simulation Log
  • 7. Case Study: A Manufacturing Workstation as a Queueing System
• III. Activity-Based Simulation and Activity Networks
  • 8. Simple Activities
    • 8.1. Conceptual Modeling of Simple Activities
    • 8.2. Design Modeling of Simple Activities
  • 9. Resource-Constrained Activities
    • 9.1. Conceptual Modeling of Resource-Constrained Activities
    • 9.2. Resource-Constrained Activities in Simulation Design Models
    • 9.3. Introducing Resource-Dependent Activity Scheduling Arrows
    • 9.4. Organization Modeling Concepts
    • 9.5. Resource Modeling
      • 9.5.1. Resource Cardinality Constraints and Multitasking Constraints
      • 9.5.2. Organizational Positions and Resource Pools
      • 9.5.3. Alternate Resource Pools
      • 9.5.4. Task Priorities
      • 9.5.5. Activity Preemption
      • 9.5.6. Resource Outages
    • 9.6. The AN Formalism
  • 10. Case Studies
    • 10.1. Make and Deliver Pizza
      • 10.1.1. Implementation with OESjs
      • 10.1.2. Implementation with AnyLogic
      • 10.1.3. Implementation with Simio
    • 10.2. Load-Haul-Dump
      • 10.2.1. Implementation with OESjs
      • 10.2.2. Implementation with AnyLogic
      • 10.2.3. Implementation with Simio
• IV. Processing Activities and Processing Networks
  • 11. Conceptual Modeling of Processing Networks
  • 12. Processing Network Design Models
  • 13. Case Studies
    • 13.1. Diagnostic Department
      • 13.1.1. Implementation with OESjs
      • 13.1.2. Implementation with Simio
      • 13.1.3. Implementation with AnyLogic
• V. Agent-Based Modeling and Simulation
  • 14. Basic Agents with Perfect Information
    • 14.1. Perception and Action
    • 14.2. Communication
    • 14.3. Interleaved Agent Simulation
      • 14.3.1. Case Study: A Four Stage Supply Chain
      • 14.3.2. Case Study: A Signaling Game
  • 15. Basic Agents with Imperfect Information
  • 16. Cognitive Agents
• Appendices
  • A. AnyLogic Concepts and Terminology
  • B. Simio Concepts and Terminology
• Bibliography
• Index