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SUMMARY:Daniela Lubke (remote) (University of Waterloo)
DTSTART:20251028T223000Z
DTEND:20251028T233000Z
DTSTAMP:20260513T193650Z
UID:SFUOR/62
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SFUOR/62/">I
 ntegrating Machine Scheduling and Personnel Allocation in a Large-Scale An
 alytical Services Facility via Column Generation</a>\nby Daniela Lubke (re
 mote) (University of Waterloo) as part of PIMS-CORDS SFU Operations Resear
 ch Seminar\n\nLecture held in ASB 10908.\n\nAbstract\nThis work investigat
 es the integration of machine scheduling and personnel allocation problems
 . In\nmachine scheduling\, the goal is to find the optimal assignment of j
 obs to machines within a given time\nhorizon\, considering processing time
 s and machine capacities in a time-discretized model. Personnel\nallocatio
 n problems aim to determine the best employee distribution while respectin
 g business\,\nregulatory\, or satisfaction constraints (for example\, maxi
 mum work hours for an employee in a specific\nactivity\, the duration an e
 mployee can remain in one activity without rest\, or preferred workdays). 
 These two problems are inherently connected and should ideally be addresse
 d together in a unified\nformulation\, though this is computationally dema
 nding. This work introduces a column generation-based\nalgorithm designed 
 to find good quality solutions for an industrial-scale analytical services
  facility\nwhere integrated machine scheduling and personnel allocation de
 cisions are made daily. Our\ncomputational results indicate that the propo
 sed approach consistently produces high-quality solutions\neven as the pro
 blem size increases\, outperforming other existing methods.\n
LOCATION:https://researchseminars.org/talk/SFUOR/62/
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