OpEra

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.

In 1997 CSX put in a model that decides which empty railcar goes to which customer order. CSX's 2009 estimate: over $51M saved a year and $1.4B in railcars never bought. Trailers, containers, rental gear: same problem. OpEra builds that model in weeks, on your own data.

Alibaba promises groceries in 30 minutes, so its routing models get seconds to plan picking and delivery. The authors count about $55 million a year saved across five businesses. Routes that change all day, at your size? OpEra builds that model in weeks, on your own data.

Chile feeds 1.3 million schoolchildren a day. Since 1997 an optimization model has decided which caterer serves which region: prices came in about 22% below trend. Awarding lanes or contracts by judgment? OpEra builds that model in weeks, on the data you already have.

Hewlett-Packard had too many products. A model showed which ones covered most of the revenue, and which to launch. HP counts more than $500M in added profit since 2005. Too many SKUs for your lines and warehouses? OpEra builds that model in weeks, on your own data.