Speaker
Description
The High-Luminosity LHC upgrade of the ATLAS detector requires the large-scale, distributed production of the Inner Tracker (ITk), posing significant challenges in scheduling, logistics, yield management, and risk mitigation. To support this effort, the ITk Project Production Simulation (IPPS) has been developed as a flexible, process-based discrete-event simulation framework that models the end-to-end production flow of ITk components.
This contribution focuses on recent work within the IPPS framework related to the Strip detector production. The simulation uses human-readable configuration files to describe detector components, production activities, sites, transport links, and expected yields, enabling rapid scenario testing and transparent communication with subsystem experts. The model produces detailed production reports, process flow diagrams, and time-evolution visualisations that can be used for monitoring progress and identifying potential bottlenecks.
Current developments include validation of Strip production workflows, refinement of activity definitions and rates, and exploration of alternative production scenarios to assess sensitivity to delays and yield variations. These studies aim to improve the realism of the production model and enhance its usefulness as a planning and decision-support tool for the ITk collaboration.
This poster presents an overview of the IPPS framework and its application to the current status of ITk production, with a particular focus on the Strip detector. It summarises the system design, the implemented production workflows, and recent studies used to understand production behaviour and potential bottlenecks. The poster also outlines ongoing validation efforts and future directions as the ITk project progresses towards large-scale construction.