To Increase Productivity, UPS Monitors Drivers' Every Move
by: Jacob Goldstein, NPR, April 17, 2014 6:04:00 am
The American workforce might want to pay attention to the brown trucks full of cardboard boxes. UPS is using technology in ways that may soon be common throughout the economy.
The brown truck in rural Pennsylvania lookz pretty much the same as it did when Bill Earle started driving for UPS more than 20 years ago.
But Earle says underneath the surface his job has changed a lot. The thing you sign your name on when the UPS guy gives you a package, used to be a piece of paper. Now it's a computer that tells Earle everything he needs to know.
The computer doesn't just give advice. It gathers data all day long. Earle's truck is also full of sensors that record to the second when he opens or closes the door behind him, buckles his seatbelt and when he starts the truck.
Technology means that no matter what kind of job you have — even if you're alone in a truck on an empty road — your company can now measure everything you do.
In Earle's case, those measurements go into a little black box in the back of his truck. At the end of the day, the data gets sent to Paramus, N.J., where computers crunch through the data from UPS trucks across the country.
"The data are about as important as the package for us," says Jack Levis, who's in charge of the UPS data. It's his job to think about small amounts of time and large amounts of money.
"Just one minute per driver per day over the course of a year adds up to $14.5 million," Levis says.
His team figured out that opening a door with a key was slowing their drivers down. So drivers were given a push-button key fob that attaches to a belt loop.
The team figured out how to use sensors in the truck to predict when a part is about to break.
And UPS solved a problem that Bill Earle and other drivers used to have: At the end of the day, there would be a package in the back of the truck that should have delivered hours before.
"You wanna cry 'cause you have to go back," Earle says.
A computer now figures out the best way to load the truck in the morning, and the best way to deliver packages all day.
Earle says a typical day for him used to be around 90 deliveries — now it's about 120.
When you hear people talk about technology increasing workers' productivity. This is what they're talking about: Same guy, same truck — lots more deliveries.
In the long run, as workers have gotten more productive, their pay has gone up. UPS drivers today make about twice what they made in the mid '90s when you add up their wages, health care and pensions, according to the head of their union.
But Earle says, there is another side of driving around a truck full of sensors: "You know, it does feel like big brother."
Take for example backing up. For safety reasons, UPS doesn't like it when their drivers back up too much.
"They know exactly how many times you're backing up," Earle says. "Where you're backing up and they also know the distance and the speed that you're backing at."
Everyday the company lets drivers know that they are backing up too much.
"You can't let it feel like it's an attack on your own personal, the way you've been doing the job," Earle says. "You can't look at it that way 'cause you'll get so frustrated that you won't even want to do it anymore."
Jack Levis, the UPS data guy, says the data are just a new way to figure out how to do things better, and faster. And, he says, the drivers benefit from that along with the company.
"They're the highest paid in the business, which is why my job is to keep them productive so they remain the highest paid in the industry."
Still, issues over the data the company collects have become part of the bargaining process between the drivers' union and the company. Under the drivers' contract, the company cannot discipline drivers based solely on data, and can't collect data without telling them.
This kind of back and forth — about what kind of data companies can collect, and what can they do with it — isn't limited to UPS. It's going to starting popping up for more and more workers and more and more companies.