Drive Manufacturing process improvement with simulation
From assembly to distribution, the world's top manufacturing organizations use simulation to rapidly analyze, test and implement process changes that improve efficiency and profitability.
Simulation empowers manufacturers to design effective plants and processes, eliminate bottlenecks and waste, optimize resources and increase throughput to meet demand.
Take Control of Your Smart Manufacturing Strategy
New technology and innovation is driving rapid change across the manufacturing sector. The digitization and connectivity of manufacturing assets are creating the potential to meet customer needs with greater flexibility, faster time to market and reduced production costs. Unfortunately, investment requirements and payback periods lack clarity. These risks, disruptive competitors, and volatile markets are often prohibiting the evolution of manufacturing businesses.
Plan
Build
Maintain
Evolve
Investment Business Case 
New Facility Design 
Supply Chain Strategy
Development Priority Planning 
Stakeholder Engagement 
Go Live Planning
Production Flexibility 
Planning & Scheduling 
New Product Introductions
Factory Automation 
Digitization 
New Business Models
Production Planning & Scheduling
Predictive simulation models can be used to develop, test and optimize production schedules. By linking with live data systems, exceptions such as line faults, breakdowns, labor shortages, etc., can trigger predictive simulations to recalculate the new optimum process logic and reschedule production.
Continuous Improvement and Lean Manufacturing
A predictive simulation model acts as a sandbox for Lean and SixSigma initiatives to be designed, piloted, stress tested and optimized - all without disrupting current production. Avoid costly tactics that simply shift bottlenecks further down the production line and move continuous improvements strategies to a holistic business level.
Optimize Production
Predictive simulation technology allows companies to factor in ALL of the complex resource and process variables that manufacturing cells are subjected to when planning new equipment installations, layouts, workforce, sub-assembly processes, cranes, forklifts and more. Simulation allows for detailed analysis and experimentation to determine what business processes, resources and investments are required to achieve growth strategies and meet customer demand at appropriate costs.
New Product Introductions
Assess how new cells, lines and supply chain activities that are required to support new products will impact your current facility operations and production. A predictive simulation can help develop cost models, implementation plans, risk analysis and help get new products to market faster.