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6
Industries
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6
Params per Node
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100%
Free
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What You'll Explore

Each simulator models an industry-specific supply chain as a network of interconnected nodes — raw material suppliers, manufacturers, distributors, and retailers. Using discrete-event simulation, you can adjust master data parameters at any node and run the model to see how changes ripple through the entire chain. D3.js interactive network diagrams let you visualize the topology and node states, while Chart.js dashboards show service levels, inventory costs, bullwhip amplification, and a full comparison between your modified scenario and the baseline.

Industry Simulators

Choose an industry to explore its unique supply chain network

shopping_cart

Consumer Packaged Goods

Model a multi-tier CPG supply chain from raw materials through contract manufacturing to retail distribution. Observe how promotions and demand variability amplify across tiers.

FMCG Retail Distribution Demand Variability
device_hub 8 nodes tune 6 params/node date_range 90-day horizon
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precision_manufacturing

Industrial Manufacturing

Simulate an industrial supply chain with long lead times and high-value components. See how capacity constraints and lot sizing decisions affect throughput and working capital.

Heavy Industry MTO/MTS Capacity Planning
device_hub 5 nodes tune 6 params/node date_range 120-day horizon
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medication

Pharmaceutical

Model a regulated pharma supply chain with strict quality gates and batch traceability. Explore how quality yield and safety stock interact under compliance constraints.

GMP Compliance Batch Traceability Cold Chain
device_hub 6 nodes tune 6 params/node date_range 180-day horizon
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restaurant

Food & Beverage

Simulate a perishable-goods supply chain with short shelf lives and seasonal demand. See how lead time and reorder point changes affect spoilage rates and fill rates.

Perishables Seasonal Demand Shelf Life
device_hub 6 nodes tune 6 params/node date_range 60-day horizon
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memory

High-Tech Electronics

Model a high-tech supply chain with rapid product lifecycles and component obsolescence. Explore how lot size and safety stock decisions balance agility against excess inventory.

Semiconductors Short Lifecycles Component Risk
device_hub 6 nodes tune 6 params/node date_range 90-day horizon
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directions_car

Automotive

Simulate a JIT automotive supply chain with tiered suppliers and assembly sequencing. See how lead time variability in upstream tiers disrupts line-side delivery and production flow.

Just-in-Time Tiered Suppliers Assembly Sequencing
device_hub 6 nodes tune 6 params/node date_range 90-day horizon
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Key Parameters

6 master data parameters you can adjust at every supply chain node

schedule

Lead Time

Days required to fulfill an order from receipt to delivery

inventory_2

Safety Stock

Buffer inventory units held to absorb demand and supply variability

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Reorder Point

Inventory level that triggers a replenishment order

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Lot Size

Number of units ordered or produced per batch

speed

Capacity

Maximum daily throughput at a production or distribution node

verified

Quality Yield

Percentage of production that passes quality inspection

Frequently Asked Questions

What is a supply chain simulator?

A supply chain simulator is a tool that models the flow of goods, information, and decisions across a network of suppliers, manufacturers, distributors, and retailers. It uses discrete-event simulation to show how changes in parameters like lead time, safety stock, and lot size ripple through the chain, affecting service levels, inventory costs, and overall performance.

How does master data affect supply chain performance?

Master data — such as lead times, safety stock levels, reorder points, lot sizes, production capacity, and quality yield — defines the operating rules at every node in the supply chain. Inaccurate or outdated master data causes misaligned inventory, inflated costs, and poor service levels. The simulator lets you see exactly how changing these parameters at one node cascades through the entire network.

What is the bullwhip effect in supply chains?

The bullwhip effect is a phenomenon where small fluctuations in consumer demand get amplified as orders move upstream through the supply chain. A 5% increase in retail demand might become a 20% spike at the distributor and a 40% surge at the manufacturer. The simulator measures this amplification ratio so you can see how parameter changes either dampen or worsen the effect.

Which industries are covered by the simulator?

The simulator covers 6 industries: Consumer Packaged Goods (CPG), Industrial Manufacturing, Pharmaceutical, Food & Beverage, High-Tech Electronics, and Automotive. Each model has a unique network topology, realistic node names, and industry-specific default parameters.

What parameters can I adjust in the simulator?

Each node in the supply chain has 6 adjustable parameters: Lead Time (days for order fulfillment), Safety Stock (buffer inventory units), Reorder Point (inventory level that triggers a new order), Lot Size (units per order), Capacity (maximum daily throughput), and Quality Yield (percentage of production that passes inspection).

Is the supply chain simulator free to use?

Yes. All 6 industry simulators are completely free to use with no registration required. Simply choose an industry, adjust the parameters, run the simulation, and compare results against the baseline.

Ready to See Master Data in Action?

Launch the simulator hub and explore how master data parameters shape supply chain performance

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