Results Application OEE

silica gel. Through the above thermal resistance and Pmax (highest power) experiments, the personnel in the experimental team learned that the H company work team changed the heat sink material for the new product from graphite to silicone grease. Because on the packaging and testing production line, the burn-in test site is the site with the longest test time, the highest test temperature, and the largest test voltage, and the

temperature control accuracy requirements at the burn-in test site are also the highest. If the temperature control is not good, for example, the

temperature error range is too large, it may cause excessive aging of the tested chip, not only allowing the chip to reach the early failure period earlier, but also reducing the normal life of the chip.

products also require different numbers of operators according to different labor loads. Then according to the weight ratio of output between different products:

(1) Proportion of product 1: 30%

(2) Proportion of product 2: 20%

(3) Proportion of product three: 30%

(4) Proportion of product four: 20%. It is possible to calculate the overall production capacity planning of the current company, the actual product aging test time and the ratio between different products. The weighted average can be used to know that the human-machine ratio at the aging test site is 1:2, that is, one Under the condition of full load, the operator can operate two aging test equipments at the same time according to the production time of 9 hours per shift.

After the improvement measures in the three major areas mentioned above, we can roughly compare the differences between several key performance parameters before and after improvement. The following Figures 1-20 and 1-21 are the overall equipment efficiency, equipment availability and actual equipment utilization before and after the

improvement measures are implemented. It can be clearly seen from the following two figures that before and after the improvement measures are implemented. After implementation, the availability of equipment and the

actual utilization of equipment have been greatly improved.

Figure 1-20 Comparison trend chart of aging test equipment availability before and after improvement

Figure 1-21 Comparison trend chart of actual utilization rate of aging test equipment before and after improvement

The following figure 1-22 is a trend chart of the comparison of equipment failures before and after the implementation of improvement measures, and the breakdown and crash losses account for a large proportion of the overall equipment efficiency loss. Therefore, after the implementation of the OEE improvement measures, you can see The effect is very significant.

Figure1-22 Comparison trend chart of failure and downtime of aging test equipment before and after improvement

Figure 1-23 below is a trend chart of the comparison of equipment idle waiting losses before and after the implementation of the improvement measures. From the average 15.5% before the improvement, the

equipment idle waiting losses due to lack of materials and personnel have increased to about 1%. Figure 1-24 is a trend chart showing the

comparison of equipment idle waiting losses before and after the

implementation of improvement measures. From the average 15.5% before the improvement, the equipment idle waiting losses due to lack of

materials and personnel have increased to about 1%.

Figure 1-23 Comparison trend chart of aging test equipment before and after improvement in idle waiting

Figure 1-24 Comparison trend of aging test equipment engineering debugging time before and after improvement

Through the analysis of OEE[20] and the improvement measures formulated for different problems, we can see that it is very significant.

Looking at the three key performance indicators of OEE, first, the rework rate of new products has been significantly reduced from 30% before improvement to about 3% after improvement, a decrease of up to 27%;

secondly, the rate of equipment can be increased to 96.9%; from

equipment In terms of performance efficiency, the improved performance efficiency is 82.4%, and the improved performance is increased to 98%.

After the improvement measures were implemented, the proportion of OEE increased to 92.2%.

In reality, [19]the improvement of OEE is not only the improvement of the overall equipment efficiency of the aging test equipment, but also the improvement of the performance efficiency of the corresponding test interface module. If Company H cannot effectively solve the bottleneck problem of new product capacity, it must purchase burn-in test equipment

and test interface modules (burn-in test boards), or extend the delivery period of new products to customers, which will lead to a decline in H Company’s profit. Or damage the cooperative relationship between H company and P company. And because the burn-in test equipment is universal at the burn-in test site, the purchased equipment may be used to produce new products in the future, but because the test interface module is not universal in different products, that is, this time The test interface module purchased again cannot be used for other new products in the future, which is undoubtedly a huge loss for H Company.

While increasing the OEE ratio, the failure and downtime of the burn-in test equipment is reduced, and the mold change time is reduced.

Accordingly, the workload of the staff (technicians and operators) on the burn-in test equipment line is reduced. It is possible to increase the human-machine ratio; at the same time, while promoting the increase of OEE ratio, it is also optimizing the work efficiency of the aging test

equipment online staff and increasing the enthusiasm of the online staff, which may further improve the aging The human-machine ratio of the staff on the test equipment line, the surplus personnel of the burn-in test site are allocated to other sites or used for other purposes, thereby saving labor costs and reducing total production costs.