標題: Optimal Allocation of Cashiers and Pharmacists in Large Hospitals: A Point-Wise Fluid-Based Dynamic Queueing Network Approach
作者: Lu, Chung-Cheng
Lin, Shih-Wei
Chen, Hui-Ju
Ying, Kuo-Ching
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: Mathematical programming;hospitals;queueing analysis;manpower allocation
公開日期: 1-Jan-2018
摘要: This paper presents an optimization model for determining the optimal time-varying numbers of cashiers and pharmacists in a large hospital. The objective of this model is to minimize the weighted sum of the waiting cost incurred by patients and the operating costs incurred by the hospital. A point-wise fluid based approximation approach is adopted to construct a dynamic queuing network that takes into account time-varying (or non-stationary) arrivals of patients and describes time-varying queue lengths. The dynamic queuing network is then encapsulated in the optimization model that determines the optimal time-varying numbers of cashiers and pharmacists. A test problem instance is designed based on a large hospital in the city of Taipei, and the MINOS solver of GAMS is applied to solve the problem instance. Sensitivity analyses are also conducted to examine the impacts of customer arrival rates and service rates on the waiting cost and operational cost. Numerical results show that the optimization model can provide an optimal allocation of manpower that significantly reduces both waiting and operating costs.
URI: http://dx.doi.org/10.1109/ACCESS.2017.2785622
http://hdl.handle.net/11536/144566
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2017.2785622
期刊: IEEE ACCESS
Volume: 6
起始頁: 2859
結束頁: 2870
Appears in Collections:Articles