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Predictive Kanban System PFE

DRÄXLMAIER

StageHybride4 à 6 moisRémunéréDate limite : 10 nov. 2025
artificial intelligenceOperations Managementindustrial engineering

Postuler

Description

Project Overview

  • Develop an AI model to predict material demand with high accuracy.
  • Aim to reduce stockouts and overstocking in warehouses.

Technical Tasks

  • Analyze current Kanban processes and identify areas for improvement.
  • Develop AI algorithms to forecast material usage based on historical data.
  • Implement the predictive system with real-time data integration.
  • Conduct testing to evaluate effectiveness and refine the model.

Required Skills

  • Knowledge of Kanban principles and material flow systems.
  • Programming skills in a language suited for AI development.
  • Familiarity with data analysis and visualization tools.
  • Good communication and presentation skills.

For more information, please apply here.