Capacitated qualification management in semiconductor manufacturing

• Published in: Omega (Oxford) 2015-07, Vol.54, p.50-59
• Main Authors: Rowshannahad, M., Dauzère-Pérès, S., Cassini, B.
• Format: Article
• Language: English
• Subjects: Capacitated workload balancing; Capacity planning; Computer Science; Engineering Sciences; Impact analysis; Mathematical models; Micro and nanotechnologies; Microelectronics; Operations Research; Production capacity; Production management; Production scheduling; Qualification management; Quality control; Semiconductor manufacturing; Studies; Workloads
• ISSN: 0305-0483; 1873-5274
• DOI: 10.1016/j.omega.2015.01.012

In semiconductor manufacturing, machines are usually qualified to process a limited number of recipes related to products. It is possible to qualify recipes on machines to better balance the workload on machines in a given toolset. However, all machines of a toolset do not have equal uptimes and may further suffer from scheduled and unscheduled downtimes. This may heavily impact an efficient recipe-to-machine qualification configuration. In this paper, we propose indicators for recipe-to-machine qualification management based on the overall toolset workload balance under capacity constraints. The models, deployed in industry, demonstrate that the toolset capacity must be considered while managing qualifications. Industrial experiments show how capacity consideration leads to an optimal qualification configuration and therefore capacity utilization. •Workcenter qualification configuration determines the capacity utilization.•We present measures for capacitated qualification management and capacity planning.•Dedicated resolution methods are proposed to obtain optimal workload balance.•Capacity optimization is considered in terms of production volume or production time.•Appropriate workcenter qualification configuration reduces the cycle time.