Dynamic Resource Allocation Using Multi-Agent Control for Manufacturing Systems⁎This work was funded in part by NSF 1544678. Issue 20 (2021)

• Record Type: Journal Article
• Authors: Bi, Mingjie; Kovalenko, Ilya; Tilbury, Dawn M.; Barton, Kira
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 20(2021)
• Page Start: 488
• Page End: 494
• Publication Date: 2021
• Subjects: Flexible manufacturing systems -- agents -- resource allocation -- coordination -- discrete-event dynamic systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.11.220
• Languages: English
• ISSNs: 2405-8963

Abstract

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.