A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry

Abstract

Semiconductor supply chain uncertainty is increasingly complicated due to shortening product life cycles, demand fluctuation and a series of collaborative decisions, yet little research focuses on risk assessment from operational planning level to supply chain planning level. Limitations of existing approaches can be traced in part to the lack of a framework within which the decisions involved in different levels can be integrated and aligned in light of supply chain dynamics. This study aims to develop a semantic web based risk assessment framework to integrate collaborative planning and enable the interpretability among real world and simulation modelling. This study starts by proposing a performance elevation metric from interpreting planning level for overall supply chain effectiveness. This study further constructs an ontology for planning and control decisions to support building the risk assessment simulation model to ensure information system interoperability and link domain knowledge for semiconductor supply chain network resilience. For validation, a simulation model is constructed for backend production from a leading semiconductor company in Germany. The contribution of the proposed semantic web-based framework provides the interoperability for supporting supply chain management and reduces the gaps between simulation modelling and physical setting to enhance overall supply chain effectiveness.