Appointment sequencing: Why the Smallest-Variance-First rule may not be optimal

• Main Authors: KONG, Qingxia, LEE, Chung-Yee, TEO, Chung-Piaw, ZHENG, Zhichao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: OR in health services; Appointment Sequencing; Smallest-Variance-First Rule; Stochastic Ordering; Medicine and Health Sciences; Operations and Supply Chain Management
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/4474; https://ink.library.smu.edu.sg/context/lkcsb_research/article/5473/viewcontent/Kong__Lee__Teo__Zheng__2016___Copyright__Appointment_sequencing___Why_the_smallest_variance_first_rule_may_not_be_optimal.pdf
• Institution: Singapore Management University

We study the design of a healthcare appointment system with a single physician and a group of patients whose service durations are stochastic. The challenge is to find the optimal arrival sequence for a group of mixed patients such that the expected total cost of patient waiting time and physician o...