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- Path: sparky!uunet!bcstec!bcsaic!espresso!ray
- From: ray@atc.boeing.com (Ray Allis)
- Newsgroups: comp.ai
- Subject: Re: planning/scheduling
- Message-ID: <80634@bcsaic.boeing.com>
- Date: 18 Aug 92 19:17:33 GMT
- References: <1992Aug17.163105.4626@eplrx7.es.duPont.com>
- Sender: nntp@bcsaic.boeing.com
- Reply-To: ray@espresso.eca
- Organization: Boeing Computer Services
- Lines: 26
-
- In article 4626@eplrx7.es.duPont.com, pensak@eplrx7.es.duPont.com (Dave Pensak) writes:
- >I hope that this is not a totally ludicrous question.....
-
- [ I know ludicrous, and believe me, your question is not ludicrous. ]
- >
- >We have been approached by a local psychiatric hospital to see if
- >any of our scheduling folks can help them with the following problem:
- >
- >There are N patients
- >
- >There are M staff members (N >> M)
- >
- >There are I activities in J locations throughout the day
- >
- >Is there any machine assisted way to make sure that the best possible
- >staff combinations are associated with the right group of patients
- >throughout the day (the groupings can, and do, change during the day).
-
- Your problem sounds very similar to the classical :-) student
- scheduling problem, except you need much faster response because
- conditions may change often. Students = patients, faculty = staff,
- activities = classes, locations = classrooms. If this isn't too
- simplistic an analogy, you might look for an existing school scheduler
- you can modify for your situation.
-
- Ray Allis - Boeing Computer Services - ray@atc.boeing.com
-