What-if Simulation for Supply Chain & Production

Test supply chain changes before you make them on the floor

Capacity and shifts: test new lines, machines, extra shifts or overtime before committing capital.
Disruption: simulate breakdowns, maintenance windows, supplier delays and material shortages, and compare recovery options.
Demand: stress-test plans against surges, seasonal peaks and promotional uplifts, and check capacity before quoting a large contract.

Complexica's What-if Simulator & Optimiser provides decision support for complex supply chain “what-if” questions by simulating the impact of a change before it is made on the factory floor or across the network. With Larry, the Digital Analyst® running the simulations, our What-if Simulator & Optimiser can help you:

Test capacity and resource changes by modelling the impact of adding, removing or reconfiguring production lines, machines and other resources before committing capital
Evaluate shift patterns and overtime to see whether an extra shift or weekend work actually relieves the bottleneck, or simply adds cost
Plan for downtime and disruption by simulating machine breakdowns, maintenance windows, supplier delays and material shortages, and comparing recovery options
Assess rush orders and new business to understand which existing orders would be delayed, and whether there is capacity to take on a large contract before you quote
Minimise changeovers by comparing sequencing rules and run sizes to reduce setup time and maximise throughput
Respond to demand shifts by stress-testing production and inventory plans against demand surges, seasonal peaks and promotional uplifts
Balance inventory and service levels by trialling different safety stock, reorder and production policies to find the right trade-off between working capital and customer service

Our What-if Simulator & Optimiser is commonly used to optimise outcomes and predict the operational impact (i.e. resource utilisation, throughput, on-time delivery, cost and inventory) of making changes to:

Production capacity, lines and equipment
Resource efficiency, availability, timetables and shift patterns
Production sequencing and scheduling rules
Demand forecasts and supply plans
Inventory policies and safety stock levels
Sourcing, supplier lead times and distribution

Every scenario runs against a digital model of your operation, so planners can compare alternatives side by side, quantify the trade-offs between cost, efficiency and service, and implement the best option with confidence, without disrupting day-to-day operations.