Samsung and Globalfoundries just announced (see The Wall Street Journal-April 18, 2014) that they have agreed to adopt the same production process as they upgrade their chip-manufacturing services, an unusual alliance with implications for many designers of computer chips and other devices, notably Apple. With the agreement, chips produced by Samsung and Globalfoundries will be essentially identical; companies that design chips could have their products produced in factories operated by either company with no extra effort.  Companies generally prefer to reduce their reliance on a single supplier for components. In this case, the pact between Globalfoundries and Samsung provides a new selling point as the two companies try to woo customers away from Taiwan Semiconductor, the biggest chip maker.

The new pact could allow Apple in the future to shift chip orders between Samsung’s Austin plant and a Globalfoundries factory near Albany, N.Y.  “The idea of doing business with multiple suppliers is built right into Apple’s DNA,”  says one industry expert.

The pact also reflects the intense financial pressures associated with pursuing Moore’s Law, Silicon Valley’s shorthand for shrinking semiconductor circuitry to improve chips’ speed and data storage capability. With individual production tools priced at tens of millions of dollars—and complete chip factories costing $5 billion or more—fewer and fewer companies still develop new production processes. In response, companies are now working together to share costs of developing new production recipes.

But the deal goes much further. Globalfoundries agreed to abandon a technology it had been developing for creating chips with circuitry measured at 14 nanometers, or billionths of a meter. It will instead license Samsung’s 14 nanometer process, which has technical benefits, and uses common production tools and materials.

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

Inside Toyota Motor Corp.’s oldest plant, there’s a corner where humans have taken over from robots in pounding glowing lumps of metal into crankshafts, reports BusinessWeek(April 7, 2014). “We need to become more solid and get back to basics, to sharpen our manual skills and further develop them,” said a company exec. “When I was a novice, experienced masters used to be called gods, and they could make anything.” These “gods” are making a comeback at Toyota, the company that long set the pace for manufacturing prowess. Toyota’s next step forward is counter-intuitive in an age of automation: Humans are taking the place of machines in plants across Japan so workers can develop new skills and figure out ways to improve production lines and the car-building process.

“Toyota views their people who work in a plant like this as craftsmen who need to continue to refine their art and skill level,” said Jeff Liker, who has written 8 books on Toyota. Learning how to make car parts from scratch gives younger workers insights they otherwise wouldn’t get from picking parts from bins and conveyor belts, or pressing buttons on machines. At about 100 manual-intensive workspaces  across Toyota’s factories in Japan, these lessons can then be applied to reprogram machines to cut down on waste and improve processes. At the forging division of Toyota’s Honsha plant, workers twist, turn and hammer metal into crankshafts instead of using the typically automated process. Experiences there have led to innovations in reducing levels of scrap by 10% and shortening the production line length 96%.

Though Toyota doesn’t envision the day it will rid itself of robots — 760 of them take part in virtually all of the production process at its Motomachi plant – it has introduced multiple lines dedicated to manual labor in each of Toyota’s factories in Japan. Says one manager: “To be the master of the machine, you have to have the knowledge and the skills to teach the machine.”  Adds a University of Tokyo professor:   “Fully automated machines don’t evolve on their own. Sticking to a specific mechanization may lead to omission of kaizen and improvement.”

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