#7718. An implementation of a reinforcement learning based algorithm for factory layout planning

October 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Industrial and Manufacturing Engineering;
Mechanics of Materials;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2510 $1340 $1170 $1000 $
Contract7718.1 Contract7718.2 Contract7718.3 Contract7718.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
Factory layout planning is a recurring and time consuming process since multiple often conflicting planning objectives have to be considered simultaneously. Inadequately planned layouts however can significantly impede the operation of a factory. Recent studies from other disciplines have shown the potential of reinforcement learning to solve complex allocation problems. Consequently, this paper presents a reinforcement learning based approach for automated layout planning.
Keywords:
Factory planning; Layout planning; Machine learning; Optimization; Reinforcement learning

Contacts :
0