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Article
A Dual Bin-Packing Approach to Scheduling Surgical Cases at a Publically-Funded Hospital
European Journal of Operational Research
  • Bharathwaj Vijayakumar, Wright State University - Main Campus
  • Priti Parikh, Wright State University
  • Rosalyn P. Scott, Wright State University
  • April Barnes, Wright State University - Main Campus
  • Jennie J. Gallimore, Wright State University - Main Campus
Document Type
Article
Publication Date
2-1-2013
Abstract

Publicly-funded hospitals are typically allocated an annual budget by the government based on the number of enrollees in the region. Given tight budget constraints, the capacity of resources is fairly fixed. Such hospitals strive to maximize the utilization of their resources through continuous improvement and optimization techniques. We address a surgical case scheduling problem experienced at a publicly-funded hospital and conceptualize this multi-period, multi-resource, priority-based case scheduling problem as an unequal-sized, multi-bin, multi-dimensional dual bin-packing problem. A mixed integer programming model and a heuristic based on the first fit decreasing algorithm are presented. Resource availability, case priorities, and variation in surgery times are key features included in our model. Our proposed approach led to substantial savings, 20% reduction in number of days and up to 20% increase in operating room utilization, when compared to real schedules obtained from the surgical department at a publicly-funded hospital.

DOI
10.1016/j.ejor.2012.09.010
Citation Information
Bharathwaj Vijayakumar, Priti Parikh, Rosalyn P. Scott, April Barnes, et al.. "A Dual Bin-Packing Approach to Scheduling Surgical Cases at a Publically-Funded Hospital" European Journal of Operational Research Vol. 224 Iss. 3 (2013) p. 583 - 591 ISSN: 0377-2217
Available at: http://works.bepress.com/priti_parikh/28/