Abstract

In highly flexible and highly integrated manufacturing systems such as semiconductor manufacturing, the dynamic interactions between equipment condition, operations executed on the tools and product quality necessitate joint decision-making in maintenance scheduling and production operations. To address these problems, we devise an integrated decision-making policy optimizing a customizable objective function that takes into account operation-dependent degradation models and production target. Optimization was achieved using a metaheuristic method based on the results of discrete-event simulations of operations of the underlying manufacturing system. The method was applied to optimization of maintenance on a generic cluster tool routinely utilized in semiconductor manufacturing. The results show that operation-dependent maintenance decision-making outperforms the case where maintenance decisions are made without considerations of operation-dependent degradation dynamics.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.