Appointment sequencing: why the smallest-variance-first rule may not be optimal

DOI10.1016/J.EJOR.2016.06.004zbMath1394.90323OpenAlexW254988821MaRDI QIDQ1751273

Zhichao Zheng, Chung-Piaw Teo, Qingxia Kong, Chung-Yee Lee

Publication date: 24 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://ink.library.smu.edu.sg/lkcsb_research/4474

zbMATH Keywords

stochastic orderingOR in health servicesappointment sequencingsmallest-variance-first rule

Mathematics Subject Classification ID

Integer programming (90C10) Deterministic scheduling theory in operations research (90B35) Queues and service in operations research (90B22) Stochastic scheduling theory in operations research (90B36) Theory of organizations, manpower planning in operations research (90B70)

Related Items (9)

Performance of the Smallest-Variance-First Rule in Appointment Sequencing ⋮ Non-indexability of the stochastic appointment scheduling problem ⋮ The effect of few historical data on the performance of sample average approximation method for operating room scheduling ⋮ Optimal sequencing using a scheduling heuristic ⋮ Adaptive appointment scheduling with periodic updates ⋮ Adaptive scheduling in service systems: a dynamic programming approach ⋮ Dynamic scheduling with uncertain job types ⋮ Outpatient appointment systems in healthcare: a review of optimization studies ⋮ Sequencing in an appointment system with deterministic arrivals and non-identical exponential service times

Uses Software

• YALMIP

Cites Work

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• Sequential clinical scheduling with service criteria
• Sequencing and scheduling \(N\) customers for a stochastic server
• Providing radiology health care services to stochastic demand of different customer classes
• Scheduling Arrivals to a Stochastic Service Delivery System Using Copositive Cones
• Appointment Scheduling with Discrete Random Durations
• A Note on Appointment Scheduling with Piecewise Linear Cost Functions

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