Intelligent Product and Mechatronic Software Components Facilitating Mass Customization in Collaborative Manufacturing Systems - Collaboration in a Hyperconnected World
Conference Papers Year : 2016

Intelligent Product and Mechatronic Software Components Facilitating Mass Customization in Collaborative Manufacturing Systems

Abstract

The intention of this research is to propose a uniform architecture for control software design of collaborative manufacturing systems. It introduces software components known as Modular, Intelligent, and Real-time Agents (MIRAs) that represent both products (C-MIRA) and mechatronic components (O-MIRAs) in a production system. C-MIRAs are in constant interaction with customers and operators through human machine interfaces (HMIs), and are responsible for transforming products from concepts up to full realization of them. It is demonstrated that desired services of a number of machines and mechatronic components can be dynamically allocated to a C-MIRA using a fully decentralized scheduling and operation control. This architecture also envisages the machines’ control to be composed of a set of modular software components, with standardized interfaces. This makes them intuitive and easy to install, to create the desired behavior for collaborative manufacturing systems. A simplified food production case study, whose control is synthesized using the proposed approach, is chosen as an illustrative example for the proposed methodology.
Fichier principal
Vignette du fichier
430868_1_En_34_Chapter.pdf (864.86 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01614582 , version 1 (11-10-2017)

Licence

Identifiers

Cite

Majid Sorouri, Valeriy Vyatkin. Intelligent Product and Mechatronic Software Components Facilitating Mass Customization in Collaborative Manufacturing Systems. 17th Working Conference on Virtual Enterprises (PRO-VE), Oct 2016, Porto, Portugal. pp.394-407, ⟨10.1007/978-3-319-45390-3_34⟩. ⟨hal-01614582⟩
157 View
138 Download

Altmetric

Share

More