Publication

Abstract : Enterprise Resource Planning (ERP) and Product Lifecycle Management (PLM) address different business needs for manufacturers. There are several factors to be considered when integrating PLM and ERP which cover many different areas such as organization and cultural, business practice and technology factors. There are various approaches that a company can take to accomplish integration between PLM and ERP. Each approach will provide differing levels and complexity of integration, functionality, scope, and cost of implementation and support. Companies need to assess the issues described previously and select the best approach based on their specific needs, future plans, current infrastructure, and estimated cost. In this context, the data to be exchanged between PLM and ERP is identified and these data have to be communicated to the ERP from PLM. Data related to the manufacturing system should be stored and managed into PLM system. Also, the interaction frequency among PLM and ERP varies depending on the degree of product customization and needs to be addressed for integration. The main objective of the present work is to develop a framework for PLM and ERP integration module, based on ontologies, which resolves syntactic and semantic data conflicts. The proposed model would help in the optimization of enterprise systems, business processes and product development systems by the integration of complimentary desktop productivity applications, heterogeneous Computer Aided Design (CAD) systems, enterprise systems and Product Data Management (PDM) databases. © 2017 Elsevier Ltd.