Case studies

Discover how GlaxoSmithKline (GSK), in partnership with Decision Lab, applied predictive analytics in manufacturing and advanced energy consumption forecasting to optimize production planning, reduce operational expenses, and advance its sustainability initiatives. Using a hybrid model of machine learning and AnyLogic simulation, GSK gained insights into energy usage patterns, improved the integration of renewable sources, and enhanced overall decision-making at its Irvine site.

Wolverine Terminals wanted to launch a marine fueling service in a port in Canada but faced significant challenges—no historical data, complex logistics, and environmental constraints. Partnering with MOSIMTEC, they developed a discrete-event simulation in AnyLogic to optimize port efficiency and validate throughput capacity. A data-driven model helped to identify bottlenecks and achieve fuel supply optimization, ensuring smooth fuel distribution.

This case study explores how Mahindra & Mahindra implemented an AnyLogic simulation model to transform their storage operations. By focusing on warehouse optimization, the team reduced planning time, improved storage space utilization, and enhanced decision-making across their supply chain.

This case study explores how MOSIMTEC and DCS used advanced simulation modeling technology to optimize the design of an automated distribution center for a pet supply company. Explore how warehouse modeling led to real efficiency gains and helped to achieve a 30% reduction in expenses.