AI Inspiration Session: AI for production

Les entreprises du secteur manufacturier sont lancées dans la course aux technologies numériques telles que l'intelligence artificielle (IA). Ces technologies constituent des moteurs essentiels à l'industrie 4.0 et permettront à terme au secteur de continuer à être l'épine dorsale de l'économie mondiale. Lors de cette séance, vous découvrirez trois cas concrets d'entreprises belges qui ont mis en œuvre l'IA dans leurs processus de production. Inscrivez-vous dès maintenant !

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Embracing digital technologies (such as AI) in manufacturing, enables manufacturers to meet the ever-changing demands of their customers. We are seeing increased customer demands for fast pivots on design, materials, packaging and production volume in several markets. In some instances, these requirements can put a strain on resources – impacting not only product quality but also profitability. Digital technologies provide the edge that manufacturers need to grow and adapt to these fast-changing demands.

In this webinar we'll share 3 use cases from Belgian companies that have implemented AI in their production processes:

1. Atlas Copco: 'Optimizing Production Planning with AI'

In this session, you will learn how AI can make production planning faster, more efficient and accurate, making life easier for Atlas Copco's employees. Radix’s AI-powered optimizer helps to save the human planner 91.6% more time, improves the number of orders delivered on time by 9.0%, and reduces the total number of days orders are late versus the first promised delivery date by 17.2%. Our AI solution is built with 100% open source software. It is fully integrated with Atlas Copco's sales systems in Belgium and the USA, enabling the sales teams to communicate faster and better with their customers. with AI.

Speaker: Laurent Sorber, Co-Founder and CTO at Radix

2. A case study : 'Discover how to optimize the quality control on your production lines with AI'

In industry, visual inspection is a matter of crucial importance to ensure the quality of the production. However, it is usually time consuming, difficult to scale and sometimes overlooked, leading to waste due to production rework or customer return. What if AI could help increasing the quality control efficiency at a fraction of the cost while reaching higher defect detection performance ? In this talk, we will explain how to gain trust in AI systems that fully automate quality control, through a project using X-Rays imagery to detect defects inside the matter that are not visible on the surface.

Speakers: Damien Koch, R&I manager @customer and Arnaud De Decker, Business Developer @Sagacify

3. BekaertDeslee: 'Bringing machine learning (ML) to the shopfloor: the ML supported machine operator'

All our production orders are customized products with many variables. Some products are easy to make, others are difficult. And there can be many reasons for this. Difficult products require higher attention of the operators to avoid production of waste. How can we attract the right attention of the operator to the right production order/production line? Based on historical production data we used machine learning to estimate the level of complexity on each production order. After a few months, they achieved significant waste reduction on average. The results were so promising that it was immediately implemented across all other production facilities around the world!

Speakers: Rik Holvoet, CIO @BekaertDeslee and Wouter Labeeuw, Solution Lead Data Science @Delaware

All use cases will be followed by a brief Q&A session with the AI Expert.

Languages

Presentations: English – Questions: English or French/Dutch