Intelligent Product and Mechatronic Software Components Facilitating Mass Customization in Collaborative Manufacturing S
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 produ
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Science and Research Branch, Islamic Azad University, Tehran, Iran [email protected] 2 Luleå University of Technology, Luleå, Sweden [email protected] 3 Aalto University, Helsinki, Finland
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. Keywords: IEC 61499 systems
Mass customization
Collaborative production
1 Introduction Mass customization is exceedingly beneficial for both customers and manufacturers, as on the one hand, customers can personalize products according to their preferences. On the other hand, manufacturers can enhance their customer satisfaction, and worry less about relying on marketing predictions and dealing with a large amount of stock. Up to the present day, manufacturing factories have been using fixed production lines; as a result, any change in the plant layout poses significant costs and efforts for adoption of the existing production system into the desired condition. Therefore, with the current need for individual product customization, the achievement of the ability to rapidly design, control and reconfigure manufacturing systems is inevitable, and manufacturing enterprises are continuously striving to address this need by implementing collaborative manufacturing systems. © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved H. Afsarmanesh et al. (Eds.): PRO-VE 2016, IFIP AICT 480, pp. 394–407, 2016. DOI: 10.1007/978-3-319-45390-3_34
Intelligent Product and Mechatronic Software Components
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2 Research Background In the past two decades various research approaches have promoted the notion of production through collaboration among main role players in manufacturing industries such as a wide range of devices, resources, machines and robots. In this section, a number of recent practices are mentioned. Merdan et al. [1], look at the possibility of matching a Machine Agent (MA) to each physical
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