If the rapid prototyping plant is simplified to a box with open ends, the manufacturer puts in raw materials, energy, and production resources at the inlet end and harvests the corresponding products at the export end. However, in the eyes of most manufacturers, the box is black - fast prototyping plant managers can clearly account for inputs and outputs outside the box, but what is happening inside the box, such as how fast prototyping is going? How to organize production optimally? Why wasn't the order completed on time... It's not always clear.
Opacity is responsible for 90% of the problems in fast prototyping plants. First of all, useful information is covered up, and the management cannot understand the production process, and thus cannot assist the correct decision making, which is called "invisible". Second, the management decision-making process is not reasonable, which makes it difficult for the management to implement the real strategic intention, calling it "unreachable"; Finally, problems are not traced in a timely manner, resulting in companies unable to stop losses in time, called it "too late." This leads to the enterprise production efficiency is difficult to improve, product quality can not go up, the cost can not come down.
In order to reduce cost and increase efficiency, in recent years, a rapid sample upsurge has been set off in the world, and transformation and upgrading has become a hot word on the lips of manufacturing enterprises. Different countries have different rapid prototyping strategies, but the essence is to improve the competitiveness of their own manufacturing industry in the global market.
In other words, whether it is "industry 4.0" or "industrial Internet", no matter how the concept is said to be hysterical, the final implementation of the delivery date, quality, factory cost, efficiency of these real problems above.
How to achieve efficient use of fast samples? We should return to the essence of additive manufacturing, open up the "black box" of the factory, and make the process of rapid prototyping transparent and visible. Only the correct data information, can let the management insight; Only a reasonable decision-making process can make the execution targeted; Only timely intervention can prevent problems.