Scientific description of industrial experience

At Mines Albi, Elise Vareilles works on “product configuration”, which entails understanding industrial constraints and considering them scientifically using IT. This multidisciplinary work is based on experts’ experience which must be recorded before the people in question retire.

 

When you order a car and specify the color, engine type, extras and delivery deadline, you are generally unaware of the complexity of the IT tool which allows these preferences. Each choice leads to constraints that have to be taken into account at each stage: ordering a more powerful engine, for example, entails having larger wheels. The software also communicates with the consumer in order to guide their choices. So, when the client wants a short deadline, only certain options are available and must be proposed in the computer interface. This discipline is called product or service configuration, and it is what Elise Vareilles and her colleagues at Mines Albi are working on.

 

Understanding expertise

“We start with businesses’ knowledge of their products and then formalize it. In other words, we determine what constraints there are,” the researcher explained, “next, we develop an IT tool to consider this knowledge and deduce rules from it in order to offer consumers something that corresponds to their needs in terms of price, options and timing.”

This multidisciplinary work is on the border between industrial engineering and artificial intelligence. “This multidisciplinarity is our specificity”, confirms Elise Vareilles, who has acquired specialist knowledge in very different industrial fields. But paradoxically, this research which may seem purely technical includes a considerable amount of human sciences. Besides the technological aspects, the researchers are also interested in professionals’ expertise. “An employee with 30 years of experience knows what he has to do to optimize a process,” explains Elise Vareilles, “but this means that it is a disaster when he retires. We formalize knowledge that can only be acquired with experience.”

 

The importance of knowledge

However, this knowledge is extremely difficult to formalize because experts find it difficult to explain their processes, which feel so natural to them. It is like a meal cooked by a great chef: even if we have the exact recipe and quality ingredients, we won’t get the same result because a chef’s skill is only learnt with years of practice. In the same way, when we learn to ride a bike no-one can really explain how to keep balance; it is only through practice that we become skilled enough to ride without help from our parents.

 

 

Product or service configuration can be applied to a number of processes, such as choosing a complex product like a car, or the optimization of industrial processes with a large number of constraints, as Elise Vareilles did with a process of heat treatment for car gears. Such configuration also includes helicopter maintenance, airplane design or external renovation of buildings (see inset) etc. Even medicine can benefit from it. “We have configured the treatment program for pregnant women at the University Hospital Centre in Toulouse,” the researcher explained, “If we see that a patient is diabetic, for example, the whole program is automatically adjusted to include specific appointments, such as regular blood tests.”

 

Knowledge is capital

This research is very multidisciplinary. Of course, it requires skills in IT and artificial intelligence, but the researchers must also acquire knowledge in the subjects involved, such as heat treatment, engineering and aeronautics. Last but not least, interviewing experts almost comes under sociology. The researcher feels strongly about this point: “experts’ knowledge is vital capital that must be preserved and passed on before it is too late. Once the experts leave, there is nothing I can do.”