Enabling the right production sequencing can feel like a mystery to even the most experienced work order management and production scheduling teams. Traditional scheduling approaches, such as grouping similar products (also commonly known as "family set-ups") or prioritizing urgent orders, can produce competing outcomes. While one strategy may reduce changeover times, another may improve on-time delivery. Poor sequencing decisions can contribute to overproduction or underproduction, resulting in excess work-in-progress inventory, inefficient resource utilization, and dissatisfied customers.Â
What if there was a way to quantify those tradeoffs under realistic production conditions?Â
Consider a manufacturer producing multiple product families that require different machine setups. Grouping similar products together may improve equipment availability, but prioritizing these orders could delay other jobs with approaching deadlines. Determining the most effective sequence requires evaluating how these decisions affect the entire production system.
Using discrete-event simulation software such as Autodesk FlexSim, manufacturers can evaluate and test different production sequencing strategies before implementing them on the shop floor. By incorporating scheduling constraints, resource constraints, processing/lead times, setup requirements, and order due dates, a simulation model can measure the impact of each strategy on key performance indicators.
Simulation-based optimization extends this analysis by systematically exploring alternative scheduling parameters and policies against defined objectives. Rather than identifying only the sequence with the fewest changeovers, manufacturers can explore strategies that balance production efficiency, inventory levels, and delivery reliability.Â
With simulation consulting services and emerging agentic AI capabilities, manufacturers can explore opportunities to automate data preparation, coordinate simulation and optimization workflows, and deliver actionable scheduling recommendations while maintaining appropriate human oversight.
Ready to explore how simulation-based scheduling optimization could improve your manufacturing operations? Connect with our consulting team to discuss how FlexSim and workflow automation can support your production planning objectives.
