Executable design and control framework using reconfigurable manufacturing holons and its evolution algorithm

Abstract

This paper provides an executable design framework for modelling and controlling holonic manufacturing processes and systems. This framework is based on reconfigurable manufacturing holonic modules. These holonic modules consist of holons represented using parameterised Petri Net modules. As the suggested modelling framework shares advantages of IEC 61499 and FCPN-std, it supports the design of complex holonic manufacturing processes/system and allows simulation and analysis under general manufacturing uncertainties. Self-organisation activity in a holonic manufacturing system is explained using an evolution concept. A holon's inner evolution is executed through cascading parameterised Petri Net modules. This evolution is used for capturing the dynamic characteristics of a manufacturing environment. Routeing and reconfiguration is fulfilled through configuration evolution. It is achieved using the suggested constraint-based fuzzy Q-learning algorithm. The provided framework and two evolution algorithms are considered an executable design framework for modelling and controlling holonic manufacturing system.

Executable simulation lifecycle management framework using extensible and interoperable simulation language

“…Petri Nets can serve as an executable model, which can be used for monitoring and controlling processes in several devices. Lee and Banerjee [8] compared Petri Nets with IEC 61499, a Function-Block based standard representation methodology, and showed its effectiveness. As a popular representation language for Petri Nets, PNML has several advantages such as use of XML, simple/easy structure from an UML based meta model and extension-ability using PNTD (Petri Net Type Definition).…”

“…Fig. 1 shows the xPNML metal model supporting FCPN-std [8], a generalized Petri Net model that can capture variance type uncertainty and ambiguity type uncertainty. As shown in Fig.…”

Manufacturing systematics and cladistics: state of the art and generic classification

“…However, where quick responses to unpredictable market changes are required, Bruccoleri et al (2006) recommend Reconfigurable manufacturing systems. To capture the dynamic characteristics of the manufacturing environment, Lee and Banerjee (2011) describe the evolutionary steps of Holonic manufacturing systems. For accurate production of microstructures, Son et al (2010) have described Desktop machinery, and Wulfsberg et al (2010) Square Foot machinery concepts.…”