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研究生:陳思穎
研究生(外文):Chen, Ssu-Ying
論文名稱:醫療排程之號碼預約系統
論文名稱(外文):Clinic Scheduling with Number Appointment System
指導教授:洪暉智
指導教授(外文):Hung, Hui-Chih
口試委員:陳文智陳勝一
口試委員(外文):Chen, Wen-ChihChen, Sheng-I
口試日期:2019-06-10
學位類別:碩士
校院名稱:國立交通大學
系所名稱:工業工程與管理系所
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:英文
論文頁數:50
中文關鍵詞:診所排程問題門診患者號碼預約總等待時間完工時間
外文關鍵詞:Clinic scheduling problemOutpatientsNumber appointmentTotal waiting timeMakespan
相關次數:
  • 被引用被引用:1
  • 點閱點閱:213
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究為台灣診所的排隊問題。在單一醫生進行服務且醫生的看診時間有高度不確定性的情況下,因此,號碼預約制度被廣泛的採用,而非時間預約。大多數患者將根據醫生期望看診時間來考慮懲罰因子並進行估算。但是,累積看診時間是右偏分佈的。患者可能出現太晚並讓醫生閒置。對於過號的患者,有一些處罰規則。我們的目標是優化最佳懲罰機制,使權重合計目標最小化。在Flexsim環境下模擬了具有懲罰機制的診所排程系統。並在一些重要的變量因素提供敏感分析 : 門診患者數量、患者的到達不確定性以及醫生的診療時間的不確定性不同的場景模擬100次。
This study is a queuing problem for the clinic in Taiwan. We consider this queuing problem with a single doctor, and the doctor’s consultation time is highly uncertain. Herein, the number appointment system is widely adopted, instead of time appointment system. Most of the patients will consider the penalty factor and estimate based on the expected consultation times. However, the cumulative consultation time is right-skewed distributed. Patients may show out too late and make the doctor idle. There are some penalty rules applied to late patients who miss their numbers in Taiwan. Our goal is to optimize the penalty mechanism, such that weights aggregated objective is minimized. Finally, our clinic scheduling system with the penalty mechanism is simulated in the environment of Flexsim. To provide sensitive analysis on some important variable factors, different scenarios on the number of the patients, patient’s arrival uncertainty, and doctor’s consultation time uncertainty are implemented 100 times.
摘要 I
Abstract II
誌謝 III
Contents IV
Table Contents VI
Figure Contents VII
Section 1. Introduction 1
1.1 Research background 1
1.2 Research issues. 4
Section 2. Literature review 6
2.1 Current situation of Taiwan hospitals 6
2.2 Health care paper 11
2.2 Others………… 12
Section 3. Problem statement 14
3.1 Problem assumptions 14
3.2 Problem statement 15
Section 4. Solution approaches 19
4.1 Notations……… 19
4.2 Assumption for Game theory model 19
Section 5. Numerical studies 25
5.1 Flexsim model… 25
5.1.1 Patient’s target show time 27
5.1.2 Check if the patient is late 27
5.1.3 New sequence 27
5.2 Design of experiments 28
5.3 Experiment results 31
Section 6. Conclusions and future research 47
References 49
Arnold, B. C. & Groeneveld, R. A. 1995, “Measuring skewness with respect to the mode”. The American Statistician. 49(1),34-38.
Bekker, J. and W. Lotz. 2009, “Planning Formula One Race Strategies using Discrete-Event Simulation”. Journal of the Operational Research Society 60(7):952–961.
B. Banneheka, G. Ekanayake. 2009, “A new point estimator for the median of gamma distribution”. Vidyodaya J. Sci., vol. 14, pp. 95-103.
Cayirli, T., Veral E. 2003, “Outpatient-scheduling in health care: A review of the Literature”. Production Oper. Management 12(4) 519–549.
Cayirli, T., Veral, E., and Rosen, H. 2006, “Designing appointment scheduling systems for ambulatory care services”. Health Care Management Science, 9: 47–58.
Fetter, R. and J. Thompson 1966, “Patients’ Waiting Time and Doctors’ Idle Time in the Outpatient Setting,” Health Services Research, 1, 66–90.
Gupta, D., Denton, B. 2008, “Appointment scheduling in health care: challenges and opportunities”. IIE Trans. 40(9), 800–819.
Jansson, B. 1966, “Choosing a good appointment system: a study of queues of the type (D, M, 1)”. Operations Research, 14, 292–312.
O’ Keefe, R. 1985, “Investigating Outpatient Departments: Implementable Policies and Qualitative Approaches,” Journal of the Operational Research Society, 36, 8, 705–712.
Robinson L.W., R. R. Chen 2003, “Scheduling doctors’ appointments: optimal and empirically-based heuristic policies”. IIE Trans 35:295–307.
Welch, J. D. and N. Bailey 1952, “Appointment Systems in Hospital Outpatient Departments”. The Lancet, 1105–1108.
Wolff, R. W. 1982, "Poisson Arrivals See Time Averages". Operations Research. 30 (2): 223–231
Wang, P.P. 1997, “Optimally scheduling N customer arrival times for a single-server system”. Comput. Oper. Res. 24(8), 703–716.
Yang, K. K., M. L. LU and S. A. Quek 1998, “A new appointment rule for a single-server, multiple-customer service system”. Naval Research Logistics 45: 313–326.
Arrival theorem from Wiki
https://en.wikipedia.org/wiki/Arrival_theorem
Official website of National Taiwan University Hospital
https://www.ntuh.gov.tw/OPD/Lists/8/Flat.aspx?RootFolder=%2FOPD%2FLists%2F8%2F%E9%81%8E%E8%99%9F&FolderCTID=0x0120020033BAC98DA874CB459C8CB98AA47A05EC
Official website of Mackay Memorial Hospital
http://www.mmh.org.tw/mmhaff/service_06_1.html
Official website of National Yang-Ming University Hospital
https://www.ymuh.ym.edu.tw/index.php/information/outpatient.html
Official website of Buddhist Tzu Chi Hospital
http://taipei.tzuchi.com.tw/162/index.php/%E5%B0%B1%E9%86%AB%E6%8C%87%E5%8D%97/%E6%9F%A5%E8%A9%A2%E6%9C%8D%E5%8B%99/%E5%B8%B8%E8%A6%8B%E5%95%8F%E9%A1%8C
Official website of Changhua Christian Hospital
http://www1.cch.org.tw/home.aspx
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