NDLI: Capacity allocation for balancing cost and fairness in a imaging facility setting

Content Provider	IEEE Xplore Digital Library
Author	Liping Zhou Zhibin Jiang Na Geng Xiuxian Wang
Copyright Year	2015
Description	Author affiliation: Dept. of Ind. Eng. & Manage., Shanghai Jiao Tong Univ., Shanghai, China (Liping Zhou; Zhibin Jiang; Na Geng; Xiuxian Wang)
Abstract	Due to expensive procurement cost and high operating cost, Magnetic Resonance Imaging (MRI) is usually one of bottleneck resources in hospitals. As MRI is shared by multi-types of patients with different requirements of examinations, setup time is needed to change coil between different patient types. Therefore, the same type patients are arranged in a sequential order to reduce setup time. This paper proposes an integer linear programming model based on a long sample path of patient arrivals for optimizing the capacity allocation. The problem consists in determining the amount of capacity allocates to each type with the objective of balancing total cost and medical service fairness. Numerical experiments with various machine daily working time and setup time are performed to show the efficiency of the proposed approach and demonstrate that the proposed capacity allocation solution is better than the widely used capacity pooling solution.
Starting Page	721
Ending Page	725
File Size	1764661
Page Count	5
File Format	PDF
e-ISBN	9781467380669
DOI	10.1109/IEEM.2015.7385742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	fairness Magnetic Resonance Imaging Hospitals sample path Capacity allocation cost integer linear programming Magnetic resonance imaging Integer linear programming Resource management Mathematical model
Content Type	Text
Resource Type	Article

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