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What does a vision systems for quality control mean to your chosen strategy

If a company decides to implement vision technology it will have impact on the strategy of the company. Because it can be a big investment and the return on investment is not clearly visible. Furthermore is the Vision system made for one particular solution and thus not flexible at all (if it is bought to check apples it is not able to check banana’s). But strategically it gives a company chances as well. The company gets lots of reliable information about the amount of rejects. This gives them a strong negotiating position to their suppliers. You can clearly see when a batch was statistically worse than others. Furthermore this data can be used for continuous improvement projects. So it is possible to see coloration between defects and things that change during production. This will lead to a better process in the end.

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What strategy fits a vision systems for quality control?

In the strategy study of Treacy and Wiersema (1995) is stated that every  company should focus on one of the 3 strategies as shown above. In this post we will explain how vision systems for quality control can be used to succeed in the core values of each strategy.

Customer intimacy

In the strategy of customer intimacy it is essential to keep your customers happy all the time. To deliver defects to a customer could be a big dissatisfier. So in this strategy, vision systems can be used in the control of the finished products, to make sure that the products the company delivers to your customer are 100% up to de specification limits of the customer. In this way, the customer will never get disappointed about the quality of the product, which is a big part of the customer intimacy strategy.

Operational excellence

The main focus of operational excellence is to have the lowest total costs. So it is important to cut the processes that don’t add any value to the product. With vision systems, defects can be can be defected before more value is added. Furthermore vision systems can replace human checks. The vision systems are lots faster and do the checks better. Another advantage of vision systems is that they can do very repetitive work 24/7 without needing breaks. So the companies with a operational excellence strategy, it is possible to cut down production costs by implementing vision systems. But the business case of this change will be different in every company.

Productleadership

The product leadership strategy focusses on having a better product than your compotators. In this strategy vision systems for quality control are not a clear match with the strategy. This because vision systems will not add value to the product. But in some cases it could help you to distinguish from your compotators. For example the usage of vision systems with UV-lightning. In case of the food sector, UV-lightning can be used to detect bruises that can not be seen with the human eye. If you can filter products with these bruises out, this could mean that you deliver better products than compotators that don’t use vision technologies. So all in all product leadership and vision management are not a direct fit, but it is still possible that product leadership will help a company achieving their strategy

[automatedvisioncontrol-blog]

Future of Vision

In 2017, according to a recent report, the global machine vision market was valued at $7.91 billion. By 2023, the global market is expected to reach $12.29 billion – a compound annual growth rate of 7.61%. This robust growth is caused by a number of broader economic factors.

Do we got your attention? The future of vision is bright and big. In the link below there is an article where you can read how the Internet of Things, Non-Industrial Applications and the ease of use will get vision systems BIG. 

https://www.visiononline.org/blog-article.cfm/Machine-Vision-Trends-to-Watch-in-2018-and-Beyond/93

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‘Technologies based on artificial intelligence, such as deep learning and CNNs, are an important part of modern machine vision solutions today. Deep learning enables companies to train neural networks themselves without any in-depth expert knowledge and minimal effort, especially when programming defect classes during error inspections. The result is that companies can save money and benefit from much more robust recognition rates as well as better classification results.’

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Product market combination

Now we know some details about quality control with vision, it is possible to learn something about the product market combination. The basic principle of vision is to detect failures in a production process. So vision does not prevent the faillures.

Focussed on the food industry, vision is an ideal method to control the quality of the food. With a human eye it is impossible to recognize decay in an apple. Besides that, the vision controls much faster than a human.

Another PMC could be a warehouse. The QR-codes on a parcel, are readable by vision. So less people are needed to control and scan the parcels.

A new trend with vision control is the development in the maintenance. With vision it is possible to detect iron wear. This system can detect heath or wear, which a human eye can not detect. See the picture below. 

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How vision systems for quality control influence business management

In this post we will explain to you what consequences vision systems for quality have for the entire company. We have used the ILC model to categorize the influences. The picture above shows potential changes in a company when a vision system for quality control is implemented.

But, every vision system can be different. This is why you can’t really copy all the changes from the model above directly to your own company. For example a vision systems for quality control focused on traceability won’t ensure a reliability of 99%.