Service oriented platform design for collaborative engineering data analysis

Data and knowledge sharing for seamless and innovative engineering collaboration is critical to quick yield ramping. This paper presents the developments of a pragmatic methodology and a platform design for quick, flexible and collaborative composition and provision of engineering data analysis (EDA) services. The methodology combines Markov chain-based EDA procedure modeling and knowledge extraction with an identification method of re-usable service components from the EDA procedures. The platform adopts a service oriented architecture and web service technology to facilitate EDA service management and sharing. The design and developments are conveyed and supported by using a legacy EDA system and its usage data.