1 / 14

Introduction to Simulation Modeling

Introduction to Simulation Modeling. Jason R. W. Merrick. Systems. System – facility or process, actual or planned Examples abound …. Manufacturing facility Bank or other personal-service operation Transportation/logistics/distribution operation

Download Presentation

Introduction to Simulation Modeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Introduction to Simulation Modeling Jason R. W. Merrick

  2. Systems • System – facility or process, actual or planned • Examples abound … • Manufacturing facility • Bank or other personal-service operation • Transportation/logistics/distribution operation • Hospital facilities (emergency room, operating room, admissions) • Computer network • Freeway system • Business process (insurance office) • Criminal justice system • Chemical plant • Fast-food restaurant • Supermarket • Theme park • Emergency-response system Chapter 1 Introduction to Simulation Modeling

  3. Work With the System? • Study the system – measure, improve, design, control • Maybe just play with the actual system • Advantage — unquestionably looking at the right thing • But it’s often impossible to do so in reality with the actual system • System doesn’t exist • Would be disruptive, expensive, or dangerous Chapter 1 Introduction to Simulation Modeling

  4. Models • Model – set of assumptions/approximations about how the system works • Study the model instead of the real system … usually much easier, faster, cheaper, safer • Can try wide-ranging ideas with the model • Make your mistakes on the computer where they don’t count, rather than for real where they do count • Often, just building the model is instructive – regardless of results • Model validity (any kind of model … not just simulation) • Care in building to mimic reality faithfully • Level of detail • Get same conclusions from the model as you would from system • More in Chapter 12 Chapter 1 Introduction to Simulation Modeling

  5. Computer Simulation • Broadly interpreted, computer simulation refers to methods for studying a wide variety of models of systems • Numerically evaluate on a computer • Use software to imitate the system’s operations and characteristics, often over time • Can be used to study simple models but should not use it if an analytical solution is available • Real power of simulation is in studying complex models • Simulation can tolerate complex models since we don’t even aspire to an analytical solution Chapter 1 Introduction to Simulation Modeling

  6. Advantages of Simulation • Flexibility to model things as they are (even if messy and complicated) • Avoid looking where the light is (a morality play): • You’re walking along in the dark and see someone on hands and knees searching the ground under a street light. • You: “What’s wrong? Can I help you?” • Mr. X: “I dropped my car keys and can’t find them.” • You: “Oh, so you dropped them around here, huh?” • Mr. X : “No, I dropped them over there.” (Points into the darkness.) • You: “Then why are you looking here?” • Mr. X : “Because this is where the light is.” • Allows uncertainty, nonstationarity in modeling • The only thing that’s for sure: nothing is for sure • Danger of ignoring system variability • Model validity Chapter 1 Introduction to Simulation Modeling

  7. System vs. Its Model • Simplification • Abstraction • Assumptions Model Real System Understanding Chapter 1 Introduction to Simulation Modeling

  8. Physical (prototypes) Analytical (mathematical) Computer (Monte Carlo Simulation) Descriptive (performance analysis) Prescriptive (optimization) Model Classification Chapter 1 Introduction to Simulation Modeling

  9. Physical (Prototypes) Chapter 1 Introduction to Simulation Modeling

  10. Analytical (Mathematical) Single Stage Queuing Model Chapter 1 Introduction to Simulation Modeling

  11. Computer (Monte Carlo Simulation) Chapter 1 Introduction to Simulation Modeling

  12. Descriptive (Performance analysis) Simulation vs. Real World Chapter 1 Introduction to Simulation Modeling

  13. Prescriptive (Optimization) Chapter 1 Introduction to Simulation Modeling

  14. Typical Uses of Simulation • Estimating a set of productivity measures in production systems, inventory systems, manufacturing processes, materials handling and logistics operations. • Designing and planning the capacity of computer systems and communication networks so as to minimize response times. • Conducting war games to train military personnel or to evaluate the efficacy of proposed military operations • Evaluating and improving maritime port operations, such as container ports or bulk-material marine terminals (coal, oil or minerals), so as to find ways of reducing vessel port times. • Improving health care operations, financial and banking operations, transportation systems and airports, among many others. Chapter 1 Introduction to Simulation Modeling

More Related