Are the analysts in your factory’s workshop doing their duties properly?

"\"90% of the analyzed data is fake.\" No way, that’s too exaggerated! ? ? Perhaps the irrationalities in the analysis processes at your factory are too severe. Requirements: 1. Arrange the number of sampling and analysis tests in a reasonable manner; 2. Improve the analysis methods; 3. Enhance communication between the workshop and the analysis team; 4. Strengthen random inspections and re-inspections of samples; 5. Change the management approach

You’ve been in this field for 18 years and still face such situations. To put it bluntly, you haven’t fulfilled your responsibilities. The most important role of a manager is to coordinate and manage things, to identify areas in the workers’ work that don’t comply with standards and point them out. If you notice such issues, give a warning the first time, impose a fine the second time, and fire the person the third time – who would dare to do anything else?

It’s not bad, but people don’t dare to provoke them; anyone who does so will suffer consequences. So they start manipulating the test results

More or less; my workplace has a similar situation – there’s nothing we can do but deal with it in such a perfunctory manner……

The situation described by the poster is most common in state-owned enterprises! There are also many joint ventures and wholly-owned enterprises! The former is due to severe lack of standardization in management. The latter is caused by a lack of knowledge. In foreign-funded companies in China, when it comes to hiring analysts and managers, to be honest, it’s already good if their skills are at a medium-to-high level. Moreover, most of them have only worked in the front line for a short period of time, so they don’t have much experience; yet they possess high personal qualities. There is serious disconnect in management at these organizations, which is why things aren’t that good there. But it’s still far better than state-owned and private enterprises. If you work for a state-owned enterprise, it’s best to just do your job properly and not worry about anything else; this is at the \"A Dou\" level – it’s better to follow the crowd. If it is a foreign company, it is recommended to make improvements within the scope of authority; this is easier to achieve given the management style of foreign companies.

Our company is okay, but there is some degree of fraud going on as well. However, it has little impact on production; they wouldn’t dare to engage in such practices if it had a significant effect on production, or if it involved raw materials or finished products.

The main reason this phenomenon occurs is that the managers in your organization are incompetent; they can’t even manage things properly to prove their competence, so how can they be leaders?

Such a situation certainly exists, but saying 90% are fake is a bit exaggerated:handshake

Let me share my past experience: in the analysis lab where I used to work, fraud was already very widespread from the beginning. At that time, we needed to measure an LPC (Liquid Particle Count) value; the specification was already relatively low, and there were many factors that could influence it, making it difficult to conduct an accurate comparison. For convenience, analysts usually prepare one analysis per 5 samples, and they find ways to fabricate the data for the remaining samples. The level of fraud involved is truly extraordinary – by diluting the sample solution or subjecting it to ultrasonic vibrations, a new result is obtained. This result is then recorded using instruments, and sometimes even the time stamps on those instruments are altered. It’s all done so skillfully that it’s truly astonishing! When I first went there, I really didn’t understand their way of doing things, and I didn’t want to get upset, as I was just a junior instrument engineer. After interacting with them more and gradually learning more about the situation, I heard that the head of the analysis course also adopted an indifferent attitude toward it, so I had even less to say. The products often have problems, and when sent for analysis, the analysts handle them as appropriate depending on the severity of the issue. Until one time, the problem became quite serious. The client is very firm; QC sent over samples and is pressing us to conduct an analysis. By then, I was already handling the daily tasks of an analyst as well. I think I should do them one by one correctly, but there isn’t enough time. The QC team can’t wait; they complain that we conduct tests quickly under normal circumstances, but slow down at critical times. But it’s not possible to proceed quickly if one wants to conduct accurate analyses. Moreover, those analysts are already used to being lazy, so it’s already very difficult for them to produce accurate results – they can’t even control the basics! I think we can’t keep deceiving ourselves any longer; with such an analytical attitude, what meaning does the result of that analysis have? No wonder the product quality is unstable – there’s no quality control at all! So, I reported the whole situation to my supervisor, who is the section chief of the analysis room. He was very angry upon hearing this, and as a result the analysis room underwent major reforms, which essentially eliminated the phenomenon of fake analyses. But I was isolated in that environment, to the point where two analysts lost their jobs. Therefore, I have always been deeply frightened by the analysis of fraud. I don’t dare to face it; I just hope to have a clear conscience. As for what others think, I really don’t know how to deal with it! This post was last edited by fengxuemei on 2009-4-19 15:59.]

Good management methods are needed to oversee them, and reasonable sampling intervals should be established.

It might be a systemic issue! ! ! Many leaders prefer their subordinates to report good news rather than bad! ! !

The problem mentioned by the original poster should be investigated to identify any issues in management. Generally, it’s common for there to be cases of fake data being generated in the analysis process, but it shouldn’t reach 90% fake data; if that’s the case, it’s better to eliminate that position altogether. In light of the above situation, management measures such as sampling, data analysis and review, sample retention, retesting, and random inspections should be strengthened.

Inadequate management systems lead to data falsification

It’s the same everywhere; fake data does exist, but it’s not as extreme as what the original poster says. Critical data still can’t be falsified. It’s better not to mess with relatives of high-ranking officials – if you try to interfere, you’ll end up in trouble. There’s no other choice but to turn a blind eye; it’s a real loss.

That’s amazing; data analysis must not be altered arbitrarily. Our company has strict requirements regarding data, and we insist on being factual.

Inspection work is a very serious task; the accuracy of data must be ensured through established systems and effective supervision and inspection. This is also necessary to maintain the authority of inspection work.

Things like this are too exaggerated! But do you have management systems and evaluation systems? Or has it been executed? I don’t think it’s due to the analysts; the main problem lies in management. How about other positions?

It’s a bit exaggerated; it happens often even when we don’t use parallel data.

In fact, data fraud is a widespread phenomenon; it just exists to a greater or lesser extent! Our factory requires too frequent analysis of certain items, which results in only half of the analyses being accurate. To be honest, when the system is operating normally, there’s no need to check certain samples so frequently!