Committing With Confidence: How to Plan Capacity You Can Actually Deliver
Move beyond static models: produce capacity-true targets you can stand behind, see bottlenecks before they form, and run multiple what-if scenarios in minutes, not days.
Committing With Confidence: How to Plan Capacity You Can Actually Deliver
Move beyond static models: produce capacity-true targets you can stand behind, see bottlenecks before they form, and run multiple what-if scenarios in minutes, not days.
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Webinar on-demand. Speaker: Dennis Xenos, CTPO and Co-founder, Flexciton
Capacity planning is usually discussed as a strategic exercise: sizing the toolset, justifying capex over a multi-year horizon. But capacity decisions don't live only there. This webinar focuses on capacity planning for the next 1–12 months, emphasising the operational use case, where the plan meets the floor and where commitments are made week by week.
The operational challenge
In most fabs, that operational plan still runs on static models, usually a spreadsheet, built and maintained by a handful of experts. The problem is what they assume: cycle time as a fixed input, capacity constant over time regardless of tool downs, and wafer starts as aggregate rates rather than the weekly profile the fab actually runs. Those assumptions are workable for long-range toolset decisions. They break the moment you have to commit: the model can't tell you when the bottleneck bites, whether the line will stay balanced, or what cycle time your plan will actually cost. So the bottleneck moves and you find it on the floor, a month or two after you loaded the line.
In this session
Flexciton Co-founder & CTPO Dennis Xenos sits in the IE's and planner's chair. He will discuss why static models drift from the floor, the questions they cannot answer, and the disconnect between the planning layer and the floor where real capacity hides. The session will then explore what a dynamic model changes: targets you can stand behind, without days of manual rework.
Get instant access to learn:
- How dynamic modelling computes cycle time and bottlenecks as outputs, revealing true weekly or monthly capacity
- How to produce targets and due dates you can actually commit to and defend
- How what-if scenarios run in minutes, and
- How optimisation goes further by generating the weekly wafer-start profile needed to meet output targets
Committing With Confidence: How to Plan Capacity You Can Actually Deliver
Committing With Confidence: How to Plan Capacity You Can Actually Deliver
Webinar on-demand. Speaker: Dennis Xenos, CTPO and Co-founder, Flexciton
Capacity planning is usually discussed as a strategic exercise: sizing the toolset, justifying capex over a multi-year horizon. But capacity decisions don't live only there. This webinar focuses on capacity planning for the next 1–12 months, emphasising the operational use case, where the plan meets the floor and where commitments are made week by week.
The operational challenge
In most fabs, that operational plan still runs on static models, usually a spreadsheet, built and maintained by a handful of experts. The problem is what they assume: cycle time as a fixed input, capacity constant over time regardless of tool downs, and wafer starts as aggregate rates rather than the weekly profile the fab actually runs. Those assumptions are workable for long-range toolset decisions. They break the moment you have to commit: the model can't tell you when the bottleneck bites, whether the line will stay balanced, or what cycle time your plan will actually cost. So the bottleneck moves and you find it on the floor, a month or two after you loaded the line.
In this session
Flexciton Co-founder & CTPO Dennis Xenos sits in the IE's and planner's chair. He will discuss why static models drift from the floor, the questions they cannot answer, and the disconnect between the planning layer and the floor where real capacity hides. The session will then explore what a dynamic model changes: targets you can stand behind, without days of manual rework.
Get instant access to learn:
- How dynamic modelling computes cycle time and bottlenecks as outputs, revealing true weekly or monthly capacity
- How to produce targets and due dates you can actually commit to and defend
- How what-if scenarios run in minutes, and
- How optimisation goes further by generating the weekly wafer-start profile needed to meet output targets
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