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Abstract
In today’s modern manufacturing environments, Multi-Agent Manufacturing System (MAMS) has been a fundamental approach for developing industrial applications that can cope with complexity, uncertainty, and dynamicity. It has become a significant resource for improving smart factories. However, little attention has been paid to integrate human workers into these overall control systems efficiently. This article is intended to take a step forward and propose a human worker integration scheme under MAMS. The multi-skilled feature of workers and the collaboration between workers are considered in this research. First, a Worker Agent (WoA) model with wearable devices is proposed as a critical design building block. After that, based on the conventional hybrid manufacturing control architecture (HyMCA), a WoA integration interface is investigated to implement the MAMS model. Then, a working mechanism of WoA in the task allocation process is studied. After that, a matching algorithm that considers different scenarios between workers and tasks is proposed based on the Hungarian Algorithm and Genetic Algorithm. Finally, program simulations and actual experiments are carried out to verify the effectiveness of the worker integration mechanism proposed in this paper.
Highlights
As the manufacturing industry evolves toward socialization and individualization of markets, customer requirements have become personalized and dynamic
This article will use hybrid manufacturing control architecture (HyMCA) as the system control architecture to study how Worker Agent (WoA) assist workers to participate in the manufacturing process autonomously instead of a mode of artificially designated tasks
The control system always expects that worker resources can be fully utilized, that is, the final matching result should be the maximum matching of the bipartite graph
Summary
As the manufacturing industry evolves toward socialization and individualization of markets, customer requirements have become personalized and dynamic. Zhang et al.: Research on Workers Integration in Smart Factories With Multi-Agent Control System factory system control efficiently In this plan, an approach is to equip workers with wearable mobile devices, which usually have image output and voice service functions, along with positioning and health monitoring sensors that monitor the workers. In the research field of MAMS, this approach can be used to integrate workers into the system control by developing Work Agents (WoAs) associated with each worker at the software level [5], [6]. In order to deal with the above problem, this article proposes a multi-agent interaction mechanism integrated with WoAs to assign tasks to workers.
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