Abstract: Provided is a method for resource planning in a factory based on simulations. The method for resource planning may comprise: modeling factory resources as capacity buckets; allocating a plurality of demands to the modeled capacity buckets; and, constructing factory resource planning by performing capacity bucket simulations (CBSs) based on the factory resources to which the plurality of demands are allocated.
Type:
Application
Filed:
June 4, 2020
Publication date:
December 31, 2020
Applicant:
VMS Solutions Co., Ltd.
Inventors:
Byung-Hee Kim, Soon-O Park, Goo-Hwan Chung, Seung-Young Chung
Abstract: Provided is a dispatching method in a factory based on reinforcement learning. The dispatching method in a factory based on reinforcement learning may comprise: constructing a Markov decision process (MDP) for dispatching actions of a dispatcher in the factory and resulting rewards and states of the factory; performing learning by applying reinforcement learning (RL) to the constructed MDP; and as a result of said RL, selecting a job that maximizes a weighted sum of a plurality of scored dispatching rules.
Type:
Application
Filed:
June 4, 2020
Publication date:
December 17, 2020
Applicant:
VMS Solutions Co., Ltd.
Inventors:
Won-Jun LEE, Byung-Hee KIM, Goo-Hwan CHUNG
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