A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions
18th IEEE International Conference on Automation Science and Engineering, CASE 2022
; 2022-August:235-241, 2022.
Article
in English
| Scopus | ID: covidwho-2136129
ABSTRACT
Due to the COVID-19 pandemic, the global supply chain is disrupted at an unprecedented scale under uncertain and unknown trends of labor shortage, high material prices, and changing travel or trade regulations. To stay competitive, enterprises desire agile and dynamic response strategies to quickly react to disruptions and recover supply-chain functions. Although both centralized and multi-agent approaches have been studied, their implementation requires prior knowledge of disruptions and agent-rule-based reasoning. In this paper, we introduce a model-based multi-agent framework that enables agent coordination and dynamic agent decision-making to respond to supply chain disruptions in an agile and effective manner. Through a small-scale simulated case study, we showcase the feasibility of the proposed approach under several disruption scenarios that affect a supply chain network differently, and analyze performance trade-offs between the proposed distributed and centralized methods. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS