Modeling for Service Efficiency of Human Resource Allocation in Homogeneous Production System:Taking The Department of Outpatient Service for General Hospital as Example

博士 === 淡江大學 === 管理科學學系 === 90 === Title of Thesis: Modeling for Service Efficiency of Human Resource Allocation in Homogeneous Production System: Taking The Department of Outpatient Service for General Hospital as Example total pages: 95 Key words: Decision Making Unit, Data...

Full description

Bibliographic Details
Main Authors: CHIEN-CHUNG LEE, 李建中
Other Authors: MIAO-SHENG CHEN
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/38096069509456074578
Description
Summary:博士 === 淡江大學 === 管理科學學系 === 90 === Title of Thesis: Modeling for Service Efficiency of Human Resource Allocation in Homogeneous Production System: Taking The Department of Outpatient Service for General Hospital as Example total pages: 95 Key words: Decision Making Unit, Data Envelop Analysis, Diagnosis Related Group, General Cost Function, .Hours for Profit Function, Hours for Cost Function, Medical Team Unit, Number for Cost Function, Number for Profit Function, The Efficiency Model of Employee allocation Name of Department: Department of Management Sciences, Tamkang University Graduation Date: June 2002 Degree Conferred: Ph.D. Name of Student: Chien-Chung Lee Advisors: Dr. Miao-Sheng Chen 李 建 中 陳淼勝 博士 Dr. Che Lin 林 吉吉 博士 Abstract: The medical care problem can be divided into two categories: interior management and medical resource planning. It is the character of the general hospital that the following items are stochastic: the patient transfer between health care items according to different diseases, the arrival to any health care item per unit time, and the number of the patients leaving the general hospital from a health care item. In this article, a research is constructed to face the administration service quality problem in an administration organization system with a random process. In fact, this study focuses on the administration service quality that can be standardized in the general hospital. In this research constructs the production function; its input variable is the service capacity (human resources of each health care item) and the output variable is the relative service efficiency of the general hospital. The measurement indicator S (relative service efficiency) is developed to be the comparison basis, and the differences between DEA and S are discussed in the research either. The measurement method proposed in this work can reduce the influence of the hospital size and the different patient arrival rate for the general hospital. In addition, the government can use it as the basis of medical resource distribution. This method leads to be the fairer method for medical resource distribution. There are two cost function models proposed in the Chapter 4; they are the cost function model with considering MTU (Medical Team Unit) working hours input (HCF Model) and the cost function model with considering the number of MTU input (NCF Model). In addition, the heuristic methods dealing with these two models for searching their solution are made; the sensitivity analyses for the solution with the key factors are also provided. Moreover, the numerical examples are also prepared. This chapter does reveal that the input of MTU leads to minimize the cost with considering the given relative service efficiency. The subsidiary function of the government, the average fixed contribution of a patient, and the fixture cost of the general hospital are considered into this chapter to construct two profit function models; they are the profit function model with considering MTU working hours input (HPF Model) and the profit function model with considering the number of MTU input (NPF Model). In addition, the methods dealing with these two models for searching the solution are developed, the decision criteria for determining the solution, and the numerical examples are also prepared. This chapter tends to search the suggested service level leads to maximize the total profits with considering the MTU allocation.