Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98764
Title: A queueing model to evaluate the impact of patient “batching” on throughput and flow time in a medical teaching facility
Authors: Dobson, Gregory
Lee, Hsiao-Hui
Sainathan, Arvind
Tilson, Vera
Keywords: DRNTU::Business::Operations management
Issue Date: 2012
Source: Gregory, D., Lee, H. H., Sainathan, A., & Tilson, V. (2012). A queueing model to evaluate the impact of patient “batching” on throughput and flow time in a medical teaching facility. Manufacturing and service operations management, 14(4).
Series/Report no.: Manufacturing and service operations management
Abstract: We consider the work flow in a medical teaching facility, examining the process that involves an initial patient exam by a resident physician, a subsequent conference between the resident and the attending physician, and the attending physician's visit with the patient. We create an analytical model of a tandem queue with finite buffer space to analyze the impact of different work prioritization policies on the throughput and the flow time of patients in the facility—measures that influence both the facility's finances and patients' satisfaction. We derive throughput-optimal policies and show that these policies involve dynamic batching. This finding is interesting because our model does not include any setup times, and setup times normally imply batching; rather it is the uncertain service times and the requirement for simultaneous service in the conference step that make batching optimal. The optimal dynamic batching policy is complex, so we consider a simpler static batching policy. We show that, in systems with limited buffer space, large batches can sometimes degrade efficiency by simultaneously increasing flow time and decreasing throughput. However, in general, both flow time and throughput increase with batch size. Flow time increases at a faster rate than throughput, so hospital management may want to consider what batch size is optimal given the value it places on the two measures.
URI: https://hdl.handle.net/10356/98764
http://hdl.handle.net/10220/17654
DOI: 10.1287/msom.1120.0380
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:NBS Journal Articles

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