DC Shoe Handcrafting

1. Objectives

• Model a two-stage production process with stochastic arrivals and service times.

• Implement probabilistic routing logic for different product types.

• Set up and run a simulation experiment for a finite number of products.

• Measure and analyze key performance indicators: average time in system and average waiting time.

2. System Analysis

Before modeling, it is crucial to define the system components based on the "Shoe Factory" case description.

• Entities: Pairs of shoes.

• Process: A two-stage flow: Cutting (Station 1) and Assembly (Station 2).

• Arrivals: The pairs of shoes arrive at Station 1 with an interarrival time that follows a Normal distribution with a mean of 1.5 minutes (90 seconds) and a standard deviation of 20 seconds.

• Resources:

• Cutting Machine (Station 1): 1 unit.

• Assembly Machine (Station 2): 1 unit.

• Flow Logic:

• At Station 1 (Cutting), there are 3 types of cutting with different probabilities and operation times.

• 50% are Type 1 (fixed time).

• 30% are Type 2 (uniform time).

• 20% are Type 3 (normal time).

• End of Simulation:

The model must stop after processing 100 pairs of shoes, or one unit of responsible time.

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