Bev Alc Game — Interactive Explainer & Simulator

Bev Alc Game: Interactive Explainer & Simulator

A hands-on exploration of the US three-tier system for beverage alcohol & the classic “bullwhip” dynamics. In this model, Manufacturers sell into Distributors, who sell to Retailers that serve consumers. The tiers are legally separated, so demand & inventory signals often travel with delay, creating amplification upstream. This page is MIT-licensed & free to adapt.
Author: Alvin J Lin
License: MIT

Key takeaways

  1. Bullwhip amplification: Small demand shifts at Retailer can balloon into large order swings at Distributor & Manufacturer.
  2. Lead times & info delays bite: Separated tiers & batching practices slow signals, prompting over-correction.
  3. Policies drive outcomes: Order-up-to targets, safety stock, batching & capacity caps can stabilise or destabilise flows.
  4. Local vs system goals: Optimising one tier alone often increases total volatility & cost across the chain.
  5. Transparency helps: Sharing POS, inventory positions & constraints reduces uncertainty & dampens swings.
  6. Right buffers, right place: Strategic inventory, capacity & time buffers beat blanket “more everywhere”.

Roles in this three-tier model

Retailer

Faces consumer demand. Orders from Distributor to hit target stock given lead time & uncertainty.

Distributor

Aggregates retailer orders. Manages inbound from Manufacturer & outbound to Retailers; batching is common.

Manufacturer

Produces against Distributor orders subject to production lead time & capacity; can ration during spikes.

How to use

  • Pick a Scenario &/or tweak Controls below.
  • Scroll to Charts. Tap/click any point to see exact values & causal notes.
  • Compare tiers to spot amplification, lags & policy effects.

Scenarios & controls

Loops lines & point fades until paused.

Policy knobs by tier

Retailer
Distributor
Manufacturer

Charts by tier

Lines: Orders placed & Shipments received. Filled area: Inventory (below zero shows backlog). Tap/click a point for details.

Author: Alvin J Lin  |  License: MIT  |  © 2025
This interactive page is provided “as is” without warranty. You may reuse, adapt & share under the MIT terms.