Dynamic Resource Allocation Using Multi-Agent Control for Manufacturing Systems

ABSTRACT

The COVID-19 pandemic brings highly dynamic effects to manufacturing environments, such as frequently shifting markets and unexpected disruptions. Such dynamic environments increase the demand for flexible and real-time manufacturing decision -making strategies. One essential problem is dynamic resource allocation to complete production tasks, especially when a resource disruption (e.g. machine breakdown) occurs. Multi -agent frameworks have been proposed to improve the flexibility and responsiveness of manufacturing systems in a distributed decision -making manner. This work introduces a clustering method based on resource agent (RA) capabilities and an RA coordination strategy that enables dynamic resource reallocation when the manufacturing system is subject to resource disruptions. Copyright (C) 2021 The Authors.