| Article | |
| Title | Schedule management for large scale projects: the example of HL-LHC at CERN |
| Author(s) | Vergara Fernandez, Estrella (CERN) ; Barberan Marin, Maria (CERN) ; Bernardini, Marzia (CERN) ; Fleury, Sarah (CERN) |
| Publication | 2024 |
| Number of pages | 4 |
| In: | JACoW IPAC 2024 (2024) TUPS07 |
| In: | 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.TUPS07 |
| DOI | 10.18429/JACoW-IPAC2024-TUPS07 |
| Subject category | Accelerators and Storage Rings |
| Accelerator/Facility, Experiment | CERN HL LHC |
| Abstract | The High Luminosity Large Hadron Collider (HL-LHC) project seeks to significantly enhance the performance of the LHC to deliver ten times more data to the LHC Experiments. The project relies on cutting-edge systems and technologies deployed in the new facilities constructed to the HL-LHC requisites and replacing large existing equipment and systems in the LHC tunnel. The project complexity lies in the production and installation of innovative systems with strong interdependencies.A methodological schedule management approach is essential to ensure timely equipment delivery, anticipate potential risks and implement mitigation actions. This paper describes the schedule management aspects of the HL-LHC project, providing a robust framework adaptable to any large-scale project. It encompasses the management of the baseline changes, the monitoring of milestones, the planning and coordination of the new facilities installation, and the integration of the HL-LHC installations within the regular LHC maintenance program. Emphasizing the significance of key performance indicators (KPIs), the paper highlights the critical role of metrics as indicators of schedule robustness. |
| Copyright/License | CC-BY-4.0 |
Corresponding record in: Inspire
Record creato 2024-10-09, modificato l'ultima volta il 2024-10-10
