Abstract
Smart factories are introducing new technologies to improve production and expand flexibility, which denotes the integration of intelligent, autonomous, and interconnected agents. The conceptual transition to dynamic multiple agents generates some dilemmas, mainly regarding the occurrence of unexpected situations. This paper aims to discuss the collective behavior of multi-agent systems in smart factories for achieving fault resilience. The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault restoration is achieved through the collective behavior that manages the ternary decisions made in these plans. The approach can help the smart factories that employ autonomous multi-agents improve their production, reliability, and robustness to failure. The proposed method was evaluated using a virtual warehouse logistics but employing real scenarios. Experiments were performed through logistic tasks to prove the collective behavior implemented in the approach for fault resilience. Quantitative analysis of the experiments shows the efficiency of the approach under various situations.
Highlights
I ndustry 4.0 uses intelligent behaviors for manufacturing and expands conventional motions that are purely based on ground lines, such as automated guided vehicles (AGVs)
Collective behaviors are key to ensuring faster, more efficient, and customer-centric manufacturing. These can help industrial agents interact with other agents to execute tasks and make decisions, express experiences and expectations, and make global decisions taking into consideration the collective polities as a consensus
This paper presents a solution to the multi-robot task allocation (MRTA) problem on fault resilience
Summary
I ndustry 4.0 uses intelligent behaviors for manufacturing and expands conventional motions that are purely based on ground lines, such as automated guided vehicles (AGVs). Collective behaviors are key to ensuring faster, more efficient, and customer-centric manufacturing These can help industrial agents interact with other agents to execute tasks and make decisions, express experiences and expectations, and make global decisions taking into consideration the collective polities as a consensus. This paper proposes a fault-resilient collective ternaryhierarchical behavior for managing and adapting multi-agent systems and achieving resilience to failures. Resilience is achieved by considering choices at different hierarchical levels: global process, agents’ groups, and individual agents. The recovery from failures is the consequence of managing collective actions through ternary choices This approach aims to improve the production efficiency of smart factories.
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