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Mathias@evelo
Mathias@evelo
En mogelijk ook voor anderen :)
Een aantal jaar geleden werkte ik voor een Belgische verdeler van machines van een Duitse producent. Die Duitse firma heeft enkele digitale magazines die ze enkele keren per jaar uitgeven; over technologie, klantenservice,...
Vandaag heb ik hun laatste editie over klantenservice gelezen en een stukje daarvan vind ik wel zo interessant om hier eens te quoten:
Job shops should work like Amazon
Shipping before the order is received. Amazon forwards certain goods to shipping centers close to the customers that will most probably order them. This shortens delivery times.
Many variations in production designs, small batch sizes, quick responses and short
delivery periods. Many operations are constantly asking themselves: How can I do this?
Where can I squeeze a little more out of my equipment? One solution to this puzzling
question is: Streamline your production sequence!
Production planning has become second nature to most shops. Almost everywhere
there is a well-tuned concept dictating which parts are to be produced in which sequence
to keep setup times low, for instance. But this is where reality always intrudes.
Rush orders are received, malfunctions stop the sequence, parts are ordered in more
varieties than before. Often, during the course of ongoing operations, companies do not
recognize that they are drifting ever further away from the theoretically ideal sequence.
The production schedule will not be achieved, and that with a certain degree of probability.
That is why operations should forecast these deviations, too. But virtually nobody
does this! The needed solution, however, is at your fingertips: Data from the production
control system, the machinery controls, and the logistic system – data is generated
everywhere and nobody is using it. But anyone who systematically collects this data
and then makes an automatic evaluation with an eye on certain criteria will recognize
patterns: typical operator errors at machines, defects in the production sequence or in
the production mix. The magic word here is “data aggregation.” Amazon, the Internet
department store, collects and condenses data on customers, purchases and prices for
second-hand goods. In this way the company forecasts the ideal inventory level, price
level and demand. My colleagues and I have accumulated data in a variety of businesses.
Most submit the data for a typical week of work. The results: Ten percent productivity
increases are always possible – even for very well-organized operations.
This is a way for job shops to gain productive time and to handle each individual order
more quickly. In the same way, they can make more reliable forecasts for the customers.
Use your own data! Anything else would be negligent!
www.evelo.be - Elektricien in regio Kortrijk - technical support for creative people.
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