Issue link: https://mastery.commandalkon.com/i/1527033
The Challenge Béton Chevalier, a leading concrete producer in Quebec, faced challenges with variations in batching accuracy across its 8-plant operation, which produces 980,000 yd3 of concrete annually. The batching automation system could not adapt to ever-changing plant conditions (material moisture, temperature, load sizes, mechanical conditions, material levels in storage units…, etc.). This had a significant impact on materials' free fall and batching accuracy. As a result, out-of-tolerance and deviations from target recipes generated inconsistent concrete quality, a common scenario in the industry. Benoit Lemelin, Béton Chevalier's Director of Production and Sales, overdesigned Béton Chevalier's mix recipes to compensate for these variations and ensure minimal strength requirements were always met. The drawback was the corresponding additional costs for raw materials (sand, gravel, cement) observed daily by Mr. Lemelin. Not to mention the CO2 emissions coming from wasted cement production. The Solution Béton Chevalier implemented the AI-powered MIntelligent Feed solution to optimize batching accuracy and improve production consistency across all their plants. By doing so, Béton Chevalier aimed to eliminate these added material costs while producing the same quality concrete to increase profitability. LOCATION Sherbrooke PROJECT TYPE Ready Mix RESULTS Batching Precision Béton Chevalier is a family-owned business that started in 1992 with a single plant in Stoneham, Quebec. Since then, the company has steadily expanded its reach across the province, driven by a commitment to quality products and services. Béton Chevalier MINTELLIGENT FEED CASE STUDY