Smart manufacturing, do companies really know what to do

Source：Updated：2017-07-17 08:11:22

Intelligent manufacturing, in many cases customers do not know what to want, to investigate the customer demand, to meet the customer demand is a false proposition, the customer directly proposed demand is often wrong! 
 
We focus on making the equipment industry smart manufacturing, doing what we do, and what we don't. Always emphasize three big principles, do not muddle, not strong, don't compromise, share. 
 
Not to be strong on 
 
The wall dong beauty is risky, the system to the customer is very risky. It's just that the customer is making the system beautiful. The system may indeed be a beauty, but this beauty is not suitable for you. 
 
A customer came to us and said that intelligent manufacturing is going to do SAP ERP first. What does ERP do? It's about increasing productivity. The scene walks, the interview circle, feel the customer existing level can use the friend system to use good also very good, who say intelligent manufacturing must go up new system? You have the money to do it, but you're still in trouble. 
 
Finally gave the customer BOM first basic data optimization and planning system, in the friend did some secondary development to solve the short plate internal users themselves to the customers (development), the results of the core product capacity 4 months increased by 50%. Isn't that good intelligent manufacturing? The mood is joyful, the sleep is in the whistle. 
 
Fast money is less, but long-term cooperation, everyone wins. 
 
If the optimization process is solved, don't touch the system. If system optimization can be solved, no new system. If the software can be solved, don't go to hardware. 
 
Don't settle 
 
Sometimes it is recommended that customers apply the system to solve problems. 
 
I have encountered many customers to do DNC system (network CNC system). Is DNC a system? What's he doing? How good is the device utilization data? Or is it good? What about the lower utilization rate of your equipment? Or do you have a lot of spare parts to play with? 
 
There are two clients who follow the advice, and make the MES basic application with DNC. It works well. We have clients who are very important. We give up. Why should we do any business? I was in a state of panic. 
 
Another customer wants to do a quality traceability system to meet the audit requirements of the automobile manufacturer. But we can't do other things ah, a see based on automatic production line customers sincerely good, is also enough, connect the production line, the online quality detection, progress acquisition, logistics, pull all ready, the customer was happy, we are actually happier. 
 
Don't deceive 
 
There are two kinds of paste: 
 
One is that he does not understand, but dare to guide others who do not understand. 
 
The second is he understands, cheat other people who do not understand. 
 
But anyway, the person who doesn't understand will eventually understand and eventually understand. 
 
And a software company to do with the same customer, in order to report a missing piece, say to want to go out of the library to stick all the code, the assembly time again scan, realize the report is missing. Is this his lack of heart, or the client's lack of mind? 
 
Planning a national demonstration production line, we completed the layout, logistics, on-line inspection and even the standard of operation in two weeks, and the customer feedback was somewhat surprising. It is said that because there is no comparison, there is no surprise. The friends have been doing it for over a year. I was surprised to learn that the next concept was to mix two completely unrelated products on one line, and I heard that the mixed line was also highly recognized by customers' departments. Well, if that's the case, we don't understand, and let's give it up. People do business, but time is of the essence. 
 
conclusion 
 
The so-called "three no" principle of intelligent manufacturing is still to create value, but it should also be oriented towards the long term and satisfy the overall structure of intelligent manufacturing.