Operational Decision Making Using Predictive Simulation

As cyber-physical systems become increasingly complex, so too do operations. Add mounting pressure from inflation and supply chain disruption, and planning becomes even more difficult.

To help address these challenges, Lanner recently hosted a webinar to introduce how predictive simulation can support your operational decision making. In this webinar, we look at real examples of how companies implemented simulation as a tool to help them with their daily planning to meet various KPIs. We also discuss why simulation is best suited to address these types of complex problems over traditional planning and spreadsheet analysis.

You can view the webinar below, and if you have any questions, please contact us today.To view all of our recent webinars, please click here.

Results

The use of predictive simulation modeling makes it easy to see and understand the impact of proposed changes in the entire end-to-end process, often uncovering unintended consequences. By exposing potential challenges or opportunities early, decisions can be made with confidence.

For example, analysis showed bottleneck issues at the site entrance. This would have impacted overall site performance and throughput if not identified during the design stage. By identifying issues early, the site plan supports decreasing truck throughput time, decreasing delays in dock processing and increasing overall site throughput capability.

Also, while the masterplan will serve as a basis for future facilities in Africa and Asia, each facility will require some adjustments based on local requirements. By developing a flexible, dynamic simulation model, the masterplan can be easily updated for specific site requirements, with the assurance that the plan will perform as intended. Analyzing the performance of the plans in the design stage, before resources are committed, will also ensure a Royal HaskoningDHV was selected to create a greater return on investmentbased on CAPEX savings.