Tracks

McDonald’s China. McDonald’s, globally renowned, with 40,000+ outlets, aims to double its nearly 5,000 stores in China by 2026. Collaborating with New HAVI and Optimization Analytics, it’s optimizing the supply chain using sophisticated OR tools, saving $63.75 million in annual investment costs and $8.9 million in transportation costs. This ensures efficient product delivery to sustain growth and aligns with sustainability goals.

Molslinjen. Halfspace and Molslinjen have partnered to develop and operate a successful forecasting and revenue management toolbox for data-driven operation of ferries in Denmark, rolled out operationally since 2020. This has resulted in $2.6-3.2M yearly savings and been a significant contributor to a 3% reduction in fuel costs and emissions. This toolbox relies on the latest advances in machine learning for forecasting and ORMS approaches to revenue management. The potential for generalizing to the global ferry industry is significant, with an impact on both revenues and ESG criteria.

ALDI SÜD Germany. Using data-driven techniques, proprietary software, and collective intelligence, we have reshaped our company strategy into a unified pathway for managing a key product area with annual revenues > €3 billion in Germany. This strategy has enhanced our competitiveness, boosted profitability, and reestablished our leading position in the discount market. It led to significant cost savings, improved employee and customer satisfaction, and reduced waste in the strategic area of special buys.

American Airlines. Developed in-house at American, The Hub Efficiency Analytics Tool (HEAT) optimizes data about weather, how full our flights are, customer connections, and gate availability, as well as any air traffic control or crew constraints. Then, an advanced optimization algorithm weighs this data and shifts arrivals and departures around at the hub in a matter of a few minutes. Since its initial deployment last year, HEAT has been used over 100 times during summer months at the airline’s largest hubs and prevented nearly 1,000 flight cancellations across our network.

Transvision. In the Netherlands 450,000 elderly and disabled citizens are eligible for subsidized taxi rides executed by Transvision. The day-to-day planning of 3,000 to 15,000 long-distance rides used to be a complex and daunting task split over dozens of subcontractors. CQM and Geodan developed an analytics solution that combines the rides. Starting January 2020, we increased punctuality and reduced ride times, resulting in 50 percent improvement in passenger satisfaction. Furthermore, already up to now we saved 75 million driving kilometers or 7,500 metric tons of CO2 emissions.

Tata Steel Limited. A real-time optimization solution for a continuous annealing furnace of Tata Steel India producing automotive grade steel has been developed using Model Predictive Control methodology and in collaboration with Indian Institute of Technology Bombay. This has transformed the plant operation by switching over from decades old manual control practice to automated optimal control. Systematic adoption of the solution has brought financial benefits to the tune of 0.28 million dollars per annum on account of fuel cost savings apart from improving the quality of product through better controllability.