Cifre - Thesis On Optimizing Industrial Processes - Nantes, France - Reeverse

Description

CIFRE

• THESIS ON OPTIMIZING INDUSTRIAL PROCESSES TO REDUCE MATERIAL CONSUMPTION

:

• Réf

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ABG-115202

• Sujet de Thèse 13/06/2023
• Cifre
• Reeverse
• Lieu de travail
• Nantes
• Pays de la Loire
• France
• Intitulé du sujet
• CIFRE
• THESIS ON OPTIMIZING INDUSTRIAL PROCESSES TO REDUCE MATERIAL CONSUMPTION
• Champs scientifiques
• Sciences de l'ingénieur

• Mots clés

• Optimization, Cutting Stock, Lot Sizing
  Description du sujet:
• Modeling and solving optimization problems in the industry (cutting stock, packing lot-sizing, etc.) and in the supply chain (collaborative logistics)
• Design and development of decision support algorithms
• Utilization, development, and implementation of artificial intelligence and machine learning technologies

Prise de fonction:

• 04/10/2023
  Nature du financement:
• Cifre

Précisions sur le financement:


Présentation établissement et labo d'accueil:

• Reeverse

Reeverse accompanies parts manufacturers and assemblers in the industry. From preliminary studies until implementation, we offer a complete range of solutions in supply chain engineering, systems management and integration and implementation of material management and optimization systems. It has accompanied major actors in projects targeting innovation, logistics, traceability, and industrial solutions. We are specialized in the industrial sectors of Energy, Naval, Aerospace, Defense and food processing. Our team is located in Nantes

• France

, and works together with key industrial and technological partners.