The rise of the industrial internet has been envisaged as a key catalyst for creating the intelligent manufacturing plant of the future through enabling open data distribution for cloud manufacturing. The context supporting these systems has been defined by Service Oriented Architectures (SOA) that facilitate data resource and computational functions as services available on a network. SOA has been at the forefront EU research over the past decade and several industrially implemented SOA technologies exist on the manufacturing floor. However it is still unclear whether SOA can meet the multi-layered requirements present within state-of-the-art manufacturing Cyber Physical Systems (CPS). The focus of this research is to identify the capability of SOA to be implemented at different execution layers present in a manufacturing CPS. The state-of-the-art for manufacturing CPS is represented by the ISA-95 standard and is correlated with different temporal analysis scales, and manufacturing computational requirements. Manufacturing computational requirements are identified through a review of open and closed loop machine control orientations, and continuous and discrete control methods. Finally the Acquire Recognise Cluster (ARC) SOA for reconfigurable manufacturing process monitoring systems is reviewed, to provide a topological view of data flow within a field level manufacturing SOA.
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