DRÄXLMAIER
DRÄXLMAIER
Tunisie

Predictive Kanban System PFE

artificial intelligenceOperations Managementindustrial engineering

Publié il y a 7 mois

Stage
⏱️4-6 mois
💼Hybride
💰Rémunéré
📅Expiré il y a 7 mois
Reste lisible (ATS friendly).

Description du poste

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.