An Ontology for Semiconductor Supply Chain Planning

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.