Car Workshop Simulator

Welcome to the Car Workshop Simulator! This simulator models the operations of a car workshop, where cars go through a series of service points to get repaired or maintained. The simulator is designed to help you understand the workflow of a car workshop, optimize resource allocation, and analyze the efficiency of the service process.

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Overview

The simulator consists of 5 service points, each representing a stage in the car repair process:

1. Car Arrival: Cars arrive at the workshop and are added to the diagnostics queue.
2. Diagnostic Done: Cars are diagnosed to determine if they need parts or simple maintenance.
3. Parts Ordered: If parts are needed, they are ordered, and the car waits in this queue.
4. Simple Maintenance: If no parts are needed, the car undergoes simple maintenance.
5. Car Ready: After diagnostics, parts ordering, or maintenance, the car is marked as ready and leaves the workshop.

The simulator tracks key metrics such as:

• Total earnings
• Number of regular and electric cars served
• Number of rejected customers
• Time spent in each service point

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Features

• Customizable Service Points: Adjust the number of spots available at each service point (e.g., arrival spots, diagnostic spots, etc.).
• Dynamic Queue Management: Cars are routed to the shortest queue at each service point to optimize efficiency.
• Cost Calculation: Different costs are applied for regular cars, electric cars, and parts ordering.
• Simulation Logging: Detailed logs are generated for each step of the simulation, providing insights into the workflow.
• Simulation Results: At the end of the simulation, a summary of results is displayed, including total earnings, cars served, and rejected customers.

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How It Works

The simulator uses a discrete-event simulation model to simulate the workflow of the car workshop. Here's a high-level overview of the process:

1. Car Arrival: Cars arrive at the workshop based on a random distribution (e.g., exponential distribution for arrival times).
2. Diagnostics: Cars are diagnosed to determine if they need parts or simple maintenance.
3. Parts Ordering: If parts are needed, the car is moved to the parts queue.
4. Simple Maintenance: If no parts are needed, the car is moved to the maintenance queue.
5. Car Ready: After completing the required service, the car is marked as ready and leaves the workshop.

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Key Classes and Methods

OmaMoottori (Main Simulation Engine)

• Responsibilities:
  • Manages the simulation process.
  • Handles car arrivals, diagnostics, parts ordering, maintenance, and car readiness.
  • Tracks simulation metrics (earnings, cars served, etc.).
• Key Methods:
  • alustukset(): Initializes the simulation by setting up service points and queues.
  • suoritaTapahtuma(Tapahtuma t): Processes events based on their type (e.g., car arrival, diagnostics done).
  • tulokset(): Displays simulation results at the end.

Palvelupiste (Service Point)

• Responsibilities:
  • Represents a service point in the workshop (e.g., diagnostics, parts ordering).
  • Manages the queue of cars waiting for service.
  • Tracks the status of the service point (busy or idle).

Asiakas (Customer/Car)

• Responsibilities:
  • Represents a car in the simulation.
  • Tracks the car's type (regular or electric), service requirements, and service completion status.

Saapumisprosessi (Arrival Process)

• Responsibilities:
  • Generates car arrivals based on a random distribution.

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Configuration

You can customize the simulation by adjusting the following parameters:

• Service Point Spots:

  • arrivalSpots: Number of spots in the arrival area.
  • diagnosticSpots: Number of diagnostic spots.
  • partsSpots: Number of parts ordering spots.
  • maintenanceSpots: Number of maintenance spots.
  • carReadySpots: Number of spots in the car-ready area.

• Service Times:

  • arrivalTime: Time spent in the arrival area.
  • diagnosticsTime: Time spent in diagnostics.
  • partsTime: Time spent ordering parts.
  • maintenanceTime: Time spent in maintenance.
  • readyTime: Time spent in the car-ready area.

• Costs:

  • defaultCost: Base cost for regular cars.
  • electricCost: Additional cost for electric cars.
  • partsCost: Cost for parts ordering.

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Example Output

At the end of the simulation, you will see a summary like this: [Simulation Finished] All customers processed.

Total earnings: 5250.00 EUR

Served regular cars: 20

Served electric cars: 10

Rejected customers: 5

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Dependencies

The simulator uses the following libraries:

• eduni.distributions: For generating random numbers based on statistical distributions (e.g., exponential, normal).
• Custom framework classes: For managing events, queues, and simulation logic.

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Future Enhancements

• GUI: Make GUI more easy to use.
• Advanced Metrics: Track additional metrics such as average wait time, service point utilization, and customer satisfaction.
• Dynamic Pricing: Implement dynamic pricing based on demand and workshop capacity.

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Enjoy simulating and optimizing your car workshop! If you have any questions or suggestions, please reach out.

Happy simulating! 🚗🔧