This paper presents a novel real-time problem analysis methodology entitled the Object-Oriented Qualitative Analysis (OOQA), combining elements of Object Oriented (00) and Qualitative Analysis (QA) methodologies to aid the design of process models. Literature relating to the complexity of manufacturing processes and systems is reviewed in light of modern Computer Integrated Manufacturing (CIM) and software-based analysis approaches. The novel OOQA real-time manufacturing and business process analysis methodology is presented, based primarily on the Booch, and the Rumbaugh Object Modelling Technique (OMT) OO methodologies, and the QA approach of DeKleer. The real-time extensions enable complex process interrelationships to be captured. This methodology is demonstrated on the pultrusion composites manufacturing process, to assist identification of important process variables prior to numerical modelling. Introduction is made to the application of OOQA to bioprocess, and logistics supply chain case studies, and the use of OOQA analysis for Artificial Neural Network (ANN) modelling.
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