Context

In the industrial field, cutting consists in producing, from raw material (wood, leather, metal plate, metal bar), finished parts with particular shapes. Cutting defects and material losses are common, directly impacting production costs and profitability. Traditional methods lack precision and generate significant falls, thus increasing expenses and slowing production times. This inefficiency undermines the competitiveness of businesses and affects their ability to respond effectively to growing market demand.

Solution

Our AI solution makes it possible to optimize the cutting of raw material using available data (technical specifications, available stocks, quantities ordered, etc.). The aim is to guarantee an optimal, precise and efficient cutting plan. The solution uses mathematical optimization to generate a cutting plan that minimizes the quantity of scrap while satisfying customer demand.

Benefits

  • More sustainable use of materials
  • Increase in production efficiency
  • Decrease in manufacturing costs
  • Improving overall profitability
  • Optimization of delivery times

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Résultats

-40%

waste reduction

-25%

reduction of production times

-15%

reduction in production costs

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