Automated Project Completion Forecasting

TL;DR

This paper discusses developing an automated forecasting tool for project completion at the JCMT, aiming to optimize scheduling, resource allocation, and scientific output for large astronomical programs.

Contribution

It introduces an ongoing effort to create a forecasting tool that predicts project completion times based on complex parameters, enhancing observatory planning.

Findings

Improved scheduling accuracy for large programs

Enhanced resource management and planning

Potential for increased scientific productivity

Abstract

In the age of Large Programs and Big Data a key component in project planning for ground-based astronomical observatories is understanding how to balance users demands and telescope capabilities. In particular, future planning for operations requires us to asses the impact of a complex set of parameters, such as right ascension, instrument, and sky condition pressures over coming semesters. Increased understanding of these parameters can provide: improved scientific output, better management of user expectations, more accurate advertised/allocated time under a Call for Proposals, and improved scheduling for instrumental commissioning and engineering work. We present ongoing efforts by staff at the James Clerk Maxwell Telescope (JCMT) to build a tool to provide automated completion forecasting of Large Programs undertaken at this telescope, which make up 50% of the observing time available at the JCMT.