Simulator Primitive: Throughput & Logistics

Objective

To model the “Speed of Business”—calculating how fast value moves through the system and identifying bottlenecks.

Data Hooks

• Primary Source: Logistics APIs (Delhivery, Shiprocket, Blue Dart).
• Secondary Source: Industry standard labor productivity data.

Simulation Variables

1. Production Velocity (The Heartbeat)

• Logic: Total Units / (Number of Workers * Hours).
• Dynamic Input: Labor productivity based on the “Operating Model” chosen in Phase 1.
• Scenario Impact: Investing in a “Semi-Automatic Boiler” increases tea production speed by 3x compared to manual.

2. Lead Time (The Delay)

• Logic: Sourcing Time + Production Time + Quality Hold + Logistics Time.
• Dynamic Input: Average transit times for the chosen “Location” and “Sourcing” route.
• Scenario Impact: Importing components from China (45 days lead time) vs. Sourcing from a local cluster (3 days lead time).

3. Inventory Burn & Cash Cycle

• Logic: Current Inventory / Daily Sales Velocity.
• Financial Impact: Every day your inventory sits in the warehouse, it “burns” cash (Storage cost + Opportunity cost).

Scenario Modeling: “The Stress Test”

The Simulator allows users to “break” their business universe to see its limits:

• “The Logistics Crisis” Scenario:
  • Trigger: Increase logistics lead time by 20 days (e.g., port strike).
  • Impact: Does the business run out of cash? Does it trigger penalty clauses in B2B contracts?
• “The Viral Growth” Scenario:
  • Trigger: Increase demand by 500% in 48 hours.
  • Impact: Where does the throughput break? Is it the machinery capacity? The worker count? Or the raw material supply?

Implementation Note for AI Services

The Simulator should provide a “Throughput Visualization” (Flowchart) showing where the “Business Fluid” slows down.