This exclusive webinar assembled senior leaders from both front-end fabs and leading solution providers to explore how the semiconductor industry can utilize smart technologies to navigate current and future challenges, as well as the obstacles to adoption. You can now watch the recording on-demand.

In this white paper, industrial engineers, production controllers, Fab managers, and all those involved in scheduling will learn some of the key benefits of Autonomous Scheduling Technology.

This technical publication from ASMC 2023 focuses on the practical aspects of deploying a novel solution in a critical production environment.

The first published case study of a successful fab-wide scheduling deployment in a large-scale semiconductor wafer fab.

This journal publication delves into the complex problem of batch scheduling with varying batch costs and job timelink constraints at Renesas Electronics.

An in-depth look at how our two-step scheduling approach can be used to manage timelink contraints and batch size to boost fab efficiency.

Discover how Renesas Electronics and Seagate Technology harnessed autonomous scheduling to tackle the complex challenge of efficient batching.

Learn how we applied multi-objective optimization to the diffusion area at Renesas Electronics to manage three conflicting KPIs.

Recap on the first of two presentations from SEMICON Europa 2022 – featuring case study results from three different wafer fabs, including Renesas and Seagate.

This technical paper provides a comprehensive overview of results from benchmark studies performed for Seagate Technology, where our solution was applied to metrology toolset scheduling.

Our white paper details a new approach to wafer fab scheduling. A novel hybrid model that delivers optimized schedules in a matter of minutes to help fabs cut costs and increase efficiency.

Discover how we helped a highly-utilised Seagate Technology wafer fab reduce cycle time and boost efficiency by applying our next-generation production scheduling solution.

Learn how applying multi-objective optimization helped to increase throughput whilst reducing reticle moves and queue time.