A Service-Orientated Arhitecture for Holonic Manufacturing Control

Borangiu, Theodor

doi:10.1007/978-3-642-03737-5_35

Cited by 16 publications

(2 citation statements)

References 14 publications

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“…The move from supplier-driven manufacturing to customer-driven manufacturing and implicitly to productdriven manufacturing, is affecting the information flow in the system and service orientation proves to be the best architectural choice in this context. Current research is focused on service orientation of holonic manufacturing systems and is based on new concepts such as Service Oriented Architecture (SOA), Enterprise Service Bus (ESB), Web Services, Manufacturing Service Bus (MSB), Distributed Intelligence (DI) and product-driven automation, Service-oriented MultiAgent Systems (SoMAS), resource service access model (RSAM) [8,9,10,11,12]. At the aggregate level of a manufacturing enterprise, SOA is the standard for business process modeling and management.…”

Section: Manufacturingmentioning

confidence: 99%

Multi-agent system for heterarchical product-driven manufacturing

Morariu

Răileanu

Morariu

et al. 2014

2014 IEEE International Conference on Automation, Quality and Testing, Robotics

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Product-driven manufacturing has gained a lot of traction recently among practitioners as it has the potential to take flexibility and agility of the manufacturing system to a new level compared to hierarchical control models. The advances in embedded technology have created the premises for the emergence of truly intelligent products that are capable not only of identification and information storage, but also of complex behavior and local decision making. In this context, this paper proposes a multi-agent control system that aims to solve the new challenges introduced by the shift to product-driven manufacturing, specifically addressing the special needs for information flow between shop floor entities and the MES system. The paper presents the pilot implementation, using the JADE multi-agent platform, a backtracking scheduler, an artificial neural network (ANN) for local decision making and the experimental results outlining the agent processing requirements during the product lifecycle.

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Section: Manufacturingmentioning

confidence: 99%

Multi-agent system for heterarchical product-driven manufacturing

Morariu

Răileanu

Morariu

et al. 2014

2014 IEEE International Conference on Automation, Quality and Testing, Robotics

Self Cite

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“…et al, 2009). And then, Borangiu suggested a solution for changes occurring in resource status and production orders by global product scheduling at aggregate batch horizon (Borangiu T., 2009). Some modified architectures of holonic manufacturing systems were suggested to solve industrial cases (Cossentino M. et al 2007;Valckenaers P. 2005 ).…”

Section: A Brief Review Of Pdsmentioning

confidence: 99%

Fuzzy Decision-Making Method for Product Holons Encountered Emergency Breakdown in Product-Driven System: An Industrial Case

Haouzi

Thomas

et al. 2015

Studies in Computational Intelligence

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In this paper a fuzzy decision-making method is proposed to make local decisions in case of breakdown occuring in a context of product-driven systems. To cope with breakdown uncertainty, three parameters, α, β and γ are created to evaluate the impact of it. Further, a fuzzy rule based on a membership function is designed to decide between centralized and distributed decisions concerning the rearranging of the remaining parts. Simulation results show that appropriate decisions could be made by the proposed fuzzy decision-making method with certain suitable parameters. This method was applied on an existing industrial case; it can be easily extended to make decision for breakdown events in other contexts.

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