  This article investigates how graph matching can be applied to process plant
design data in order to support the reuse of previous designs. A literature
review of existing graph matching algorithms is performed, and a group of
algorithms is chosen for further testing. A use case from early phase plant
design is presented. A methodology for addressing the use case is proposed,
including graph simplification algorithms and node similarity measures, so that
existing graph matching algorithms can be applied in the process plant domain.
The proposed methodology is evaluated empirically on an industrial case
consisting of design data from several pulp and paper plants.
