Interoperability Between ERP and PLM Systems Using Ontologies - a Case Study

EasyChair Preprint 13791

Abstract

Modern manufacturing has been undergoing significant transformation into the digital era. Advances such as additive manufacturing, biomanufacturing, digital twin, and digital manufacturing bring benefits to manufacturers, but also pose the challenge of transforming planning data using several software tools to accom-plish real-time feedback and adjustment for optimal production control and moni-toring. Software tools such as CAD, and CAM. PLM, Simulations, ERP, and MOM usually store data in their data models without regard for the semantic meaning of such data. To address interoperability issues researchers have devel-oped ontologies to capture the semantics of data, for example, Industrial Ontolo-gy Foundry (IOF) is leading efforts to develop reference ontologies for semantic data integration. This paper reports the results of applying those reference ontolo-gies for data interoperability between CAPP and ERP systems. We have extend-ed reference ontologies to include terms from a domain of plastics manufacturing, particularly process and production planning applications. Domain ontologies are integrated with some domain data of process plans plastic parts from a CAPP systems, and Odoo, an ERP system. We have demonstrated semantic equivalency of those data, though they carry different data model labels. The knowledge graph of ontology and data has been visualized using knowledge graph tool GraphDB. The demonstration serves as a pathway and method for software systems in-teroperability in industry.

Keyphrases: ERP, Interoperability, Ontology, PLM

@booklet{EasyChair:13791,
  author    = {Saruda Seeharit and Dušan Šormaz and Mandvi Fuloria},
  title     = {Interoperability Between ERP and PLM Systems Using Ontologies - a Case Study},
  howpublished = {EasyChair Preprint 13791},
  year      = {EasyChair, 2024}}