efficiency of Hong Kongs hospitals and MTRC subway system
is being transformed by artificial intelligence (AI) rostering and
scheduling software developed by researchers at City University
of Hong Kong.
recently, rostering of the Hospital Authoritys more than 48,000
staff at 44 hospitals was handled manually. Now, a project to computerise
and optimise the task is being rolled out with a resulting increase
in staff morale and improved service for patients.
the MTRC a similar, but much larger, system is currently being verified
to ensure maintenance staff with the required skills, plus equipment
and material, are in place at the right time for trains and track
on all six subway lines to be well and timely maintained.
of the projects, Dr Andy Hon-wai Chun, said of the MTRC system:
Our main task is to make sure all the jobs can be done safely.
In some places, electricity needs to be off, in other places it
needs to be on.
well as ensuring the whole operation is safe, we also ensure that
adequate resources are available, such as train drivers, supervisors,
added: In the Hospital Authoritys case, there are many
considerations like rostering equal work loads for nurses; scheduling
them to work 44 hours a week, including so many night shifts and,
of course, a night shift cant then be followed immediately
by a day shift. There are also requests for days off, contract considerations,
skill levels, and many other inputs.
tailored computer programs devised by Dr Chun and his researchers
combine constraint programming techniques with AI algorithms with
the result that complex problems can be solved in a very short time.
Dr Andy Hon-wai Chun : firstname.lastname@example.org