Scheduling strategies of a single serial processing machine with multiple job types in the semiconductor assembly test environment
Date of Issue2010
School of Mechanical and Aerospace Engineering
Singapore-MIT Alliance Programme
In this thesis, the performance of various scheduling heuristics of a single serial processing machine with multiple job types in the semiconductor assembly test environment is analyzed. Two types of heuristics are developed in this research. The heuristic with next arrival information is compared with the heuristic without future information to study how the performance is influenced by forecast. Considering the dynamic manufacturing characteristics of the semiconductor industry, the impact of different level of forecast error is analyzed under different traffic intensities. Two sets of heuristics are tested in simulations to demonstrate that the performance of a model with future information highly depends on how the forecast information is utilized in the heuristics.