Short-term multi-product production planning strongly depends on manifold considerations which can be related to backlog production, product-type prioritization, machine capacity, and set-ups. Different manufacturing systems conditions may lead to different objectives. In this context, it is rather difficult to define a-priori optimal production plans. This paper presents an effective approach for short-term production planning of multi-product systems based on the integration of a Digital Twin and a multi-objective optimization method. The proposed approach has been implemented in a real industrial case of the railway sector. Numerical results show that useful insights can be inferred from the proposed methodology.

A digital twin-based approach for multi-objective optimization of short-term production planning

Magnanini M. C.;Melnychuk O.;Yemane A.;Colledani M.
2021

Abstract

Short-term multi-product production planning strongly depends on manifold considerations which can be related to backlog production, product-type prioritization, machine capacity, and set-ups. Different manufacturing systems conditions may lead to different objectives. In this context, it is rather difficult to define a-priori optimal production plans. This paper presents an effective approach for short-term production planning of multi-product systems based on the integration of a Digital Twin and a multi-objective optimization method. The proposed approach has been implemented in a real industrial case of the railway sector. Numerical results show that useful insights can be inferred from the proposed methodology.
Proceedings of the 17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021
Intelligent decision support systems in manufacturing
Intelligent manufacturing systems
Modeling of manufacturing operations
Multi-objective optimization
Production planning and control
File in questo prodotto:
File Dimensione Formato  
A Digital Twin-based approach for multi-objective optimization of short-term production planning.pdf

accesso aperto

: Publisher’s version
Dimensione 942.69 kB
Formato Adobe PDF
942.69 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1192008
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact