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In semiconductor assembly and test manufacturing (ATM), a station normally consists of multiple machines (maybe of different types) for a certain operation step. It is critical to optimize the utilization of ATM stations for productivity improvement. In this paper, we first formulate the bottleneck station scheduling problem, and then apply ant colony optimization (ACO) to solve it metaheuristically...
Ant colony optimization (ACO) is a novel metaheuristic method, which has recently been applied to scheduling problems in semiconductor assembly and test manufacturing. We proposed an ACO algorithm for the machine conversion frequency reduction to optimize the conversion plan and minimize the machine idle time. We verified the algorithm using the historical data of Intel's chipset factory, which shows...
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