Work

An Ontology for Semiconductor Supply Chain Planning

Year: 2025

Type: article

Abstract: Planning in semiconductor supply chains is challenging due to the sheer size of the supply chains, the distributed and hierarchical nature of the planning activities, the many inherent uncertainties, and the presence of multiple decision-makers with different objectives. The automation of planning processes is desirable to cope with the frequent changes in semiconductor supply chains. This requires rich communication between the different decision-making units, whether human planners or software, and hardware components of the planning system. In this paper, we describe an ontology that supports planning activities in semiconductor supply chains and illustrate, for instance, how it can be used to automatically generate linear programming (LP) models required for decision making in the borderless fab context.

Source: IEEE Transactions on Semiconductor Manufacturing

DOI: 10.1109/tsm.2025.3571926

Authors: Raphael Herding, Kenneth J. Fordyce, R. John Milne, Lars Mönch

Institutions: Research Institute for Telecommunication Cooperation, Clarkson University, FernUniversität in Hagen

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,645