Microchips are the brains behind almost everything we use in our increasingly electronic world. As they become more essential to our lives, we rely on chip makers to respond to fluctuations in demand and keep pace with advances in chip design.
However, a major barrier to progress is the sheer complexity of chip production. A typical process can entail hundreds of steps, generating more manufacturing options than there are atoms in the universe. This hinders agility, stalls progress, and prevents fabs from fulfilling their potential.
So, what if there was a smarter way to run fabs? A radically new solution for innovative chip makers to conquer complexity and drive progress.
Our Autonomous Scheduling Technology enhances decision making by doing the heavy lifting for you. It analyses and automatically selects the best manufacturing option from trillions of possibilities – making it easier and faster to meet your fab’s full potential.
Flexciton simplifies and streamlines chip making today to unlock tomorrow, opening up opportunities to drive progress efficiently, profitably, and sustainably.
Flexciton’s co-founders spent years in the industry, seeing first hand the problems that manufacturers face when planning and scheduling production. Companies recorded vast amounts of data about their operations, but they struggled to learn anything meaningful from it.
Through their combined technical experience in optimization, data science and computer programming, Jamie and Dennis started to uncover how insights could be learnt from this industrial data to drive significant efficiency improvements.
Jamie is an expert in Mathematics and Statistics and graduated top of his year from the University of Oxford. In 2018, Jamie was added to the 2018 Forbes 30 under 30 list.
We are people from all walks of life with one unified belief: that our product can change manufacturing forever.
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.