Simulation-Based Performance Assessment of Sustainable Manufacturing Decisions

Abstract

In this paper, we consider sustainable manufacturing decisions in semiconductor supply chains. A simulation-based framework is designed to assess such decisions in a dynamic and stochastic environment. Requirements for performance assessment of sustainable manufacturing decisions are derived in a first step. The architecture of the framework is then designed. We specify components that model the supplied energy and the energy consumption of the manufacturing processes. Moreover, a component for demand generation is described. A component that deals with modeling user preferences with respect to conventional and to new sustainability performance measures is also sketched. The framework is illustrated by assessing the performance of an energy-aware scheduling algorithm for batch processing machines in a rolling horizon setting.