2016
DOI: 10.1287/ijoc.2016.0706
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The Surgical Patient Routing Problem: A Central Planner Approach

Abstract: M any patients face difficulties when accessing medical facilities, particularly in rural areas. To alleviate these concerns, medical centers may offer transportation to eligible patients. However, the operation of such services is typically not tightly coordinated with the scheduling of medical appointments. Motivated by our collaborations with the U.S. Veterans Health Administration, we propose an integrated approach that simultaneously considers patient routing and operating room scheduling decisions. We mo… Show more

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Cited by 10 publications
(3 citation statements)
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“…It is subject to a set of mathematical constraints that portray the conditions under which the decisions have to be made. These models can then be solved by using standard software (e.g., CPLEX solver [12,87]) or by developing exact solution methods (e.g., branch-and-price [121,138]).…”
Section: Research Methodology Classificationmentioning
confidence: 99%
“…It is subject to a set of mathematical constraints that portray the conditions under which the decisions have to be made. These models can then be solved by using standard software (e.g., CPLEX solver [12,87]) or by developing exact solution methods (e.g., branch-and-price [121,138]).…”
Section: Research Methodology Classificationmentioning
confidence: 99%
“…In Yin et al (2016) they consider elective patient surgery in multiple operating theatres where the different stages of surgery is optimised as a complex connected patients flow problem. Nemati et al (2016) integrate the transport of patients to the surgery unit with the optimisation of the operating schedule.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The advantage of exact solution methods is that they provide a single optimal solution. The exact methods used in literature include column generation [24,[50][51][52][53], dynamic programming [54][55][56][57][58], branch and bound [42,[59][60][61][62], branch and price [54,55,[63][64][65], and branch and cut methods [66,67]. In addition, researchers have considered heuristics [68][69][70], hybrid methods [71,72], and metaheuristics [44,62,73] for operating room planning and scheduling problems.…”
Section: Introductionmentioning
confidence: 99%