Abstract
Product intelligence is a new industrial manufacturing control paradigm aligned with the context of cyber-physical systems and addressing the current requirements of flexibility, reconfigurability and responsiveness. This paradigm introduces benefits in terms of improvement of the entire product׳s life-cycle, and particularly the product quality and customization, aiming the customer satisfaction. This paper presents an implementation of a system of intelligent products, developed under the scope of the GRACE project, where an agent-based solution was deployed in a factory plant producing laundry washing machines. The achieved results show an increase of the production and energy efficiency, an increase of the product quality and customization, as well as a reduction of the scrap costs.
Highlights
Manufacturing domain operates in a conservative market place, with plants running for more than 10 years, unanticipated downtime provoking significant losses and using Enterprise Resource Planning (ERP) systems focused on mass production
The objective of this paper is to explore the industrial control paradigm of product intelligence by describing a practical implementation in the manufacturing domain based on the experience gathered during the execution of the GRACE (Integration of process and quality control using multi-agent technology) project
Product intelligence is a new industrial manufacturing control paradigm aligned with the context of cyber-physical systems, providing benefits in terms of production efficiency, energy efficiency, product quality, and product customization by offering a new kind of services, e.g., on-line monitoring, traceability, selfdiagnosis, self-maintenance and remote maintenance, aiming the customer satisfaction
Summary
Manufacturing domain operates in a conservative market place, with plants running for more than 10 years, unanticipated downtime provoking significant losses and using Enterprise Resource Planning (ERP) systems focused on mass production. The objective of this paper is to explore the industrial control paradigm of product intelligence by describing a practical implementation in the manufacturing domain based on the experience gathered during the execution of the GRACE (Integration of process and quality control using multi-agent technology) project (http://grace-project.org/). During this project, a product-driven agent-based solution was installed in a factory plant producing laundry washing machines aiming the integration of process and quality control.
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