The AI-PRISM consortium holds the necessary expertise to strategically improve the EU Smart manufacturing value chain in four domains: collaborative environment, robot perception and recognition, robot programming and human factors. We are working to achieve the right trade-off between complementary and overlapping among the industrial partners.
In the industrial category, we count on use case partners with experience in actual market product development and industrial activities such as Silverline. Together with the other four use cases, we generate a broad range of user-centred requirements, deployment blueprints, integration plans, testing scenarios, and performance monitoring to assess preliminary designs and feed the next iterations.
Silverline’s pilot site covers the sector of built-in appliances in Turkey. Their innovative designs, expert technologies, and environmentally sensitive products make them one of the top five hood manufacturers in Europe and one of the top 10 in the world. In addition, they offer a new generation of culinary enjoyment to millions of kitchens in more than 70 countries.
Today, we have Engin Talas, Automation area manager and head of the Silverline team, explaining more details about the company and his role in the adaptable and collaborative workstation for packaging and quality control of hoods human and robots pilot project. With research partner ETRI and tech providers Teknopar and A&G, they are researching and exploring opportunities for human-robot collaboration in assembly lines in mass production plants.
Silverline has a production volume of 2.4 million annually. With AI-PRISM, they will improve the process performed at their final control workstation consisting of 12 steps, all performed manually. These tasks are causing problems for the operators, such as increasing ergonomic and health issues (both physical and mental), decreasing working performance, decreasing productivity, increasing working accident risk, increasing stress, safety problems and declining job satisfaction.
These 12 steps will be considered to implement and demonstrate AI-PRISM innovations:
- Sticking a label
- Visual Control
- Cable Packing Before Packing
- Grounding Test
- Function Test
- Sticking Blue Colour Label
- Filter Assembling
- Product Cleaning
- Sticking of the Cable 202V
- Sticking Blue Colour Warning Label
- Sticking Blue Label on the Product
- Bagging the Product
This use case aims to generate an adaptable/collaborative control station at the end of the production line, where human-robot collaboration is applied for the control and packaging of the final products. Thanks to the AI-PRISM ecosystem, Silverline and other future manufacturing industrial organisations in the built appliances, will be able to increase resource efficiency, reduce the total production time, reduce production costs, and reduce the cognitive load required by operators.
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