U.S. Factory Jobs are Gone?

JANUARY 30, 2014

bmwThe headline in the latest BusinessWeek article (Jan.27-Feb. 4, 2014) reads: Factory Jobs are Gone. Get Over It. The magazine writes: “Politicians think creating millions of high-tech manufacturing jobs is the answer. It isn’t.”  Over the past 60 years, U.S. GDP increased from $2.6 trillion to $15.5 trillion, which means that absolute manufacturing output more than tripled. Those goods were produced by fewer people. The number of employees in manufacturing was 16 million in 1953 (about a 1/3 of total nonfarm employment), 19 million in 1980 (about a 1/5), and 12 million in 2012 (about a 1/10). Service industries have taken up the slack. Even much of the value generated by U.S. manufacturing involves service work—about a 1/3 of the total. More than 1/2 of all people still employed in the U.S. manufacturing sector work in such services as management, technical support, and sales.

Over the past 30 years, manufacturers have spent more on labor-saving machinery and hired fewer (but more skilled) workers to run it. From 1980 to 2012 across the whole economy, output per hour worked increased 85%. In manufacturing output per hour climbed 189%. The proportion of manufacturing workers with some college education has increased from 1/5 to 1/2 since 1969.

Developing countries have taken over much of the low-skilled, low-capital production once done in the U.S. Consider the garment industry or tire manufacturing. Such low-tech work is even more mind-numbing and poorly paid than it was when the work was done in the U.S. through the 1970s. Many of the workers killed in the recent Rana Plaza garment factory collapse in Bangladesh earned just $3 a day. Some politicians have regretted the loss of similar jobs in the U.S. The question is: Do we want such jobs here now?

For every $1 spent by the federal government on retraining workers and helping them find jobs after they lost theirs to trade competition, the U.S. spends about $400 on Social Security and disability payments for those who exit the workforce rather than seek new work. So perhaps retraining programs are the solution.

This post provided courtesy of Jay and Barry’s OM Blog at www.heizerrenderom.wordpress.comProfessors Jay Heizer and Barry Render are authors of Operations Management , the world’s top selling textbook in its field, published by Pearson.

Amazon Skates To Where The Puck Is Going To Be

JANUARY 22, 2014

Evidently,  Amazon.com has read hockey great Wayne Gretzsky’s famous quote: “I skate to where the puck is going to be, not where it has been.” Amazon thinks it knows you so well it wants to ship your next package before you order it. The Wall Street Journal (Jan. 17, 2014) writes: “The Seattle retailer gained a patent for what it calls anticipatory shipping, a method to start delivering packages even before customers clickbuy.”

The technique could cut delivery time and discourage consumers from visiting physical stores. Amazon says it may box and ship products it expects customers in a specific area will want – based on previous orders and other factors — but haven’t yet ordered. The packages could wait at the shippers’ hubs or on trucks until an order arrives. In deciding what to ship, Amazon said it may consider previous orders, product searches, wish lists, shopping-cart contents, returns and even how long an Internet user’s cursor hovers over an item.

Today, Amazon receives an order, then labels packages with addresses at its warehouses and loads them onto waiting UPS, USPS or other trucks, which may take them directly to customers’ homes or load them onto other trucks for final delivery. It has been working to cut delivery times, expanding its warehouse network to begin overnight and same-day deliveries. The patent demonstrates one way Amazon hopes to leverage its vast trove of customer data to edge out rivals.

A possible Amazon logistics trail

A possible Amazon logistics trail

This post provided courtesy of Jay and Barry’s OM Blog at www.heizerrenderom.wordpress.comProfessors Jay Heizer and Barry Render are authors of Operations Management , the world’s top selling textbook in its field, published by Pearson.

Tesla and a Factory Full of Robots

JANUARY 9, 2014

teslaElon Musk recently made the cover ofFortune (Dec.9, 2013) as its 2013 Business Person of the Year for his famous creation of both Tesla and Space X.  The article recalls that just a few years back, the best most people could say about electric cars was that they would be great for sustainability, but for the foreseeable future they’d be horribly limited by range and wouldn’t be very appealing to drive. Battery technology was simply too expensive and too heavy for it to be otherwise. The key breakthrough was to switch to lithium-ion battery technology, an expensive technology used not in cars, but in computers and phones.  Musk believed that if you could combine large enough numbers of lithium-ion cells into a single battery, you could provide not only adequate range for a car but also power capable of turning the humble electric car into an object of desire.

Musk wasn’t the first person to have that insight. His genius was to take that core idea to its logical conclusion and integrate it into a broader picture of how a series of such cars could be manufactured and marketed for ever-shrinking costs, in a sequence that would eventually bring Tesla to the mass market. A full seven years ago, he posted an article titled “The Secret Tesla Motors Master Plan,” which outlined the basics: three generations of cars, first the super high-end sports car, then a sporty 4-door family car, then a mass market car. And underpinning it all, the conviction that the cars wouldn’t just work, but be lusted after.

He had no certainty that the company would succeed. But he was convinced that (a) the laws of physics meant that electric power could deliver a profoundly better automobile, (b) there was a path to possible success via three generations of cars, and (c) the goal was essential if humanity was to have a shot at a sustainable-energy future. This  5 minute video of the Tesla S production is one your students will enjoy as it shows the power of robotics in manufacturing

This post provided courtesy of Jay and Barry’s OM Blog at www.heizerrenderom.wordpress.comProfessors Jay Heizer and Barry Render are authors of Operations Management , the world’s top selling textbook in its field, published by Pearson.