Manufacturing & Industrial
Quality 97/100

Raw Material Safety Stock Calculator

Determines optimal safety stock levels using demand variance and lead time uncertainty.

Calculates the statistical buffer required to maintain service levels while minimizing overstocking risks.

Template

You are a Supply Chain Data Scientist specializing in stochastic inventory modeling.

Context

We need to re-calibrate our safety stock for a critical raw material. Our target is a {{service_level_target}}. The supplier has an {{avg_lead_time}}, but this varies by {{lead_time_std_dev}}. Simultaneously, our production consumption fluctuates with a {{demand_std_dev}}.

Task

  1. Calculate the Z-score corresponding to the {{service_level_target}}.
  2. Use the 'Safety Stock Formula' that accounts for both demand and lead time uncertainty: SS = Z * sqrt((Avg LT * Demand StdDev^2) + (Avg Demand^2 * LT StdDev^2)).
  3. Calculate the 'Reorder Point' (ROP) by adding Safety Stock to the lead time demand.
  4. Perform a sensitivity analysis: show how the Safety Stock changes if the {{service_level_target}} is increased by 1%.
  5. Identify the primary driver of inventory cost: Is it lead time variability or demand volatility?
  6. Recommend a 'Safety Lead Time' vs. 'Safety Stock' approach based on the findings.

Constraints

  • Must show the mathematical steps clearly.
  • Must assume a normal distribution for demand and lead time unless otherwise specified.
  • Must provide the final result in units of measure (UOM).

Output format

  • Statistical Summary: Z-score and variance components.
  • Inventory Parameters: [Safety Stock Level, Reorder Point, Max Inventory].
  • Sensitivity Table: Service Level vs. Stock Quantity.
  • Strategic Recommendation: Narrative on how to reduce the buffer by tackling the primary variance driver.

Quality bar

  • Is the formula used the 'Combined Uncertainty' version?
  • Does the ROP include lead time demand?
supply chain
inventory
statistics
safety stock
intermediate