OpEra

Swedish home care teams replaced manual visit planning with a model that assigns each visit and routes each carer. Efficiency rose 10–15%, worth €20–30M a year, by the team's count. A 20-technician service team has the same problem. OpEra builds that model in weeks.

MISO uses optimization to decide which power plants run and how much each produces, every five minutes. The region saved $2.1B–$3.0B from 2007 to 2010, by MISO's estimate. A site with its own generators has the same problem. OpEra builds that model in weeks.

Canadian Pacific moved its freight trains from "leave when full" to a schedule built by optimization models. It saved C$300M from mid-1999 to autumn 2000, by CP's count. A regional carrier has the same problem. OpEra builds that model in weeks, on your own data.

In 2021 Lyft changed its matching to count where each driver would be needed next. Requests with no driver found fell 13%. Lyft's estimate: over $30M a year in revenue. A dispatch desk with 40 vehicles has the same problem. OpEra builds that model in weeks, on your own data.

Baosteel replaced manual planning at its Shanghai steel plant with four optimization systems. Its estimate: $76.81M in benefit from 2007 to 2012 and 585,770 fewer tons of CO2 a year. Planning from experience at a smaller plant? OpEra builds that model in weeks, on your own data.

Tata Steel let an optimization model reset its annealing furnace every minute. Strip within 5°C of target rose from 30% to 50% and fuel per ton fell 8%, by its count. A mid-size heat treater has the same problem. OpEra builds that model in weeks, on your own data.

Merck Animal Health built models that decide how each vaccine batch is run, including when to harvest. It added $200M in revenue with no new equipment, by its own count. One fermentation plant has the same problem. OpEra builds that model in weeks, on your own data.

Samsung cut the time to make a memory chip from 80+ days to under 30 with a model that sets work-in-process targets at every step. The authors estimate $1B in extra sales. A three-line plant has the same problem. OpEra builds that model in weeks, on your own data.

Motorola built a model that decides which supplier wins which part, within capacity limits. It saved more than $600M on $16B of spend, by Motorola's count. A plant with 40 suppliers has the same problem. OpEra builds that model in weeks, on your own data.

Same planes, same seats. American Airlines estimated $1.4B in extra revenue over three years from deciding, with a model, which seats to sell at which fare. Trucks, lines, slots: any fixed capacity has that choice. OpEra builds that model in weeks, on your own data.