HW10_604

The Model: Scheme:

Customers:

• Movement:
  • 4 meters at 1 mile per hour
    
• Types:
  • Premium (25%)
    • wait time less than 5 minutes or get $15 off rental
      
  • Standard (75%)
    • wait time: unbounded
      
• Value:
  • Each customer contributes $8 to income
  • less any discount they may receive

Arrivals:

• 2 minutes apart (exponential)

Servers:

• Service Time: Uniform(2,7) minutes
  
• Costs: $55/hour (including overhead)
  • Types:
    • Premium Counter: 1 resource
      
    • Standard Counter: 2 resources

Simulation:

• Time-frame: 24 hours
• 10 days per replication.

Capture:

• Utilization of each type of agent
• Waiting time of each type of customer
• Number of premium customers who received a discount, the total discounts paid, and the net profit (after discounts and costs) of the system.

Scenarios:

1. Assume that each agent only handles customers of his designated type
2. Relax above assumption. Consider alternate work rules (who services which customer under which conditions) for this same staff. Evaluate each proposed scenario to see the impact on the metrics.
   
3. Model other possible solutions to improve the system. You may use links if that helps.

The Model: Speedee Car Rentals:

Link to the model file

Simio Model SpeedeeCarRentalNew.spx

Data Customer Types

The Model: Scenarios:

Below are the scenarios I selected. The logic is applied to the paths from the entrance based on queue lengths of the respective servers.

Scenario

Scenario cont

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The Model: Results:

Results

The most profitable is the scenario where premium customers are directed to the regular queue when the regular is less than 2. However, the utilization is improved when the Premium staff takes on regular customers when their queue is empty.