Technology:
Fujitsu plans to review
staff assignment and working process substantially and construct the optimal
mass production line by utilizing the simulation technology. The optimal mass production
line will be introduced to the 15 major plants in a few years, and the system
will be put on the market. The Japanese manufacturing industry has been
maintaining the strong competitive edge through constant improvement activities
(Kaizen). Fujitsu wishes to strengthen its competitive edge with the computer
technology that analyzes big data and construct highly efficient production
lines for successful competition in the global market.
With the development
of simulation technology, it is now possible to decide staff assignment and equipment
layout to maximize the productivity on the computer screen. The system Fujitsu
plans to develop will utilize big data that include the work sequence of each
worker and information on parts and components. Data to figure out the optimal
line will increase tremendously if they contain information even on the finger
movements of each worker. Using the new system, the company will input information
on about 6,000 parts of the smartphone and work sequence and display a virtual
mass production line on the computer screen to construct the most productive
line.
The period required
from the development to mass production will be about three months that is half
of the current level because it is no longer necessary to construct a line for
improvement. The efforts to utilize IT technology for more efficient production
and product development are in progress in various industries in Japan. Nissan
has set up a system to develop prototype vehicles for the world market intensively
in its Zama plant. The company optimized the
moves of robots and assembling procedures, and successfully reduced the number
of frequency to build prototype vehicles. It reduced the preparation period for
mass production from more than one year to half a year.
Creation of work
instruction
Fujitsu’s virtual
product simulator
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