One of Tata Steel's steel manufacturing units showed potential for increasing the overall unit throughput by optimizing the internal logistics systems. The opportunity was in improving crane and ladle handling by introducing optimized process flows and testing different layout configurations.
Automotive industry leaders use autonomous mobile robots (AMR) in their production facilities to improve productivity. In this case study, Tesla Material Flow Engineer and former BMW Group PhD Student and AMR researcher, Maximilian Selmair, describes standard industry practice when deploying large-scale transporter fleets and demonstrates how AnyLogic cloud-based simulation helps develop optimal task allocation algorithms.
Discover how a tweak in workforce capacity planning led to a 1.56% improvement in production efficiency for a global conglomerate, Cargill. This case study reveals the practical steps the company took to align workforce management with real-time production needs. The results underscore the power of targeted workforce strategies in enhancing operational efficiency.
The Airbus Group joined the European Union ARUM (Adaptive Production Management) project, which is focused on creating an IT solution for risk reduction, decision-making, and planning during new product ramp-ups. The project is aimed mainly at aircraft and shipbuilding industries. Simulation was chosen as a part of the ARUM solution, because it would allow the participants to reproduce the real production facility experience.
Semiconductor demand is unstable, highly dependent on innovation cycles, and due to its volatility, the semiconductor supply chain is prone to the bullwhip effect. These challenges were compounded by supply chain shortages and the COVID crisis. This case study shows how supply chain engineers at Infineon optimized their supply chain and mitigated the bullwhip effect using simulation modeling.
GSK determined a possible 20% lower capital expenditure for the renewal of its biopharmaceutical manufacturing facility in Parma, Italy, by using simulation modeling. For analysis, planning, and decision support on the project, GSK worked with the award-winning tech application company Decision Lab.
Leading global steel producer, Tata Steel, optimized quicklime production operations using simulation. The analysis of five production scenarios led to a reduction in power consumption and operating costs at a quicklime production facility. Learn how they accomplished it in this case study.
Gousto tackled inefficiencies in meal kit production using simulation modeling. They achieved a 13% improvement in station utilization and accelerated innovation within the company by implementing factory flow simulation for production optimization.
The Model Group, in their factory in Weinfelden, Switzerland, was producing about 200 jobs a day. The job shop scheduling was done manually, and this was found to be inefficient. So, they needed to find a way to implement different job shop scheduling techniques and compare and validate them. ProSim combined simulation modeling and AI to develop a solution that would create accurate schedules and therefore reduce bottlenecks.
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.