| 研究生: |
陳宥竹 Chen, Yu-Chu |
|---|---|
| 論文名稱: |
以模擬最佳化求解急診室彈性人力排班問題 The Use of Simulation Optimization in Solving Emergency Department Flexible-Staffing Problem |
| 指導教授: |
楊大和
Yang, Taho |
| 共同指導教授: |
謝至嘉
Hsieh, Chih-Chia |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 製造資訊與系統研究所 Institute of Manufacturing Information and Systems |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 79 |
| 中文關鍵詞: | 急診室 、彈性人力排班 、模擬最佳化 |
| 外文關鍵詞: | Emergency Department(ED), flexible staffing, simulation optimization |
| 相關次數: | 點閱:134 下載:13 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
醫療業一直以來都是一個需求不確定、高成本且需要高度品質的行業,而這樣的特性在急診室更是顯而易見,然而近年來的急診服務量年年升高,但急診室的人力配置等卻因為高成本難以跟著增加,使得急診室面臨隨時可能發生急診壅塞情況的窘境。
根據觀察,造成這些問題的原因可能來自於人力資源未被妥善運用,急診室來診量在各時段皆不相同,除此之外還可能有更多的因子會影響急診室的來診人次,但是在案例急診室當中,不論平假日都安排了同樣人次的醫師,且醫師之間業務分割明確,並不互相協助,在這樣的現況之下,是否能有方法能夠更妥善的利用人力資源,減少安排過度或是過少人力的情況便成為了本文希望能夠探討的議題。
本研究使用離散事件模擬軟體針對案例急診室現況進行模仿,在建立模擬模式之前,必須要針對病人的來診,以及病人在急診室內滯留的期間發生的事件及時間長度進行分析,將變異甚大的資料進行分析收斂過後,將其運用於離散事件模擬軟體當中。其後提出3個不同的排班方案並且觀察其績效,3個方案分別為(1)彈性班次開始時間方案(2)彈性班次長度方案以及(3)綜合彈性方案,且三方案有一共同假設為醫師為急診室共用資源。
根據結果3方案皆能有效降低成本,且幾乎不影響績效指標,其中方案三雖然會使績效指標稍微降低,但不論在哪個類別都能達到成本降低超過30%,本研究建議案例急診室應優先推動醫師跨區支援之機制,再依需求選擇進一步推動之排班方案。
Medical industry has always been an uncertain demand, high cost and need high quality industry, these characteristics are more obvious in the emergency department. However, the demands of emergency department get higher and higher these years, but due to the high cost, the human resources of emergency department is difficult to increase, the situation makes the emergency department faces to the dilemma of emergency department overcrowded.
According to the observation, the causes of these problems may be the human resources are not efficiently used. The amount of emergency room visits varies from time to time, and there are also other factors may affect the number of visit to emergency department. However, in the case, the same number of doctor are arranged no matter the day is on weekdays or weekends, and the business division between each doctor is clear and does not help each other. Under such situation, is there any ways to make better use of human resources has become an issue that the research hopes to explore.
The research use the discrete event simulation software which named Arena, try to simulate the current situation. Before establishing the simulation model, it is necessary to analyze the visit, stay and also process in emergency department of patients, and use the information from the analysis into models. The research raises three different plans of scheduling, (1) flexible shifts start time plan; (2) flexible shift length plan; (3) complex flexible plan, and there is a common assumption over three plans: doctor is shared resources in emergency department.
According to the result, three plans can reduce the cost, and not to effect the performance. Among them, plan 3 can reduce most cost, although it may effect the performance, but it was not a big effect. With the result, the research suggest case emergency department should promote the mechanism of cross-regional support for doctors at first, after that choose a most suitable plan to staffing.
林詩芹 (2003),「以限制規劃構建全年無休服務人員排班模式-以客服人員排班為例」。國立交通大學運輸科技與管理學系碩士學位論文
行政院衛生福利部,104年度醫療機構現況及醫院醫療服務量統計,http://dep.mohw.gov.tw/DOS/np-3050-113.html(取得日期:2017/05/01)
行政院衛生福利部,公告修正五級檢傷分類基準(105.1.1施行),https://dep.mohw.gov.tw/DOMA/cp-2710-38118-106.html(取得日期:2018/02/21)
行政院衛生福利部,住院醫師勞動權益保障及工作時間指引, https://dep.mohw.gov.tw/DOMA/lp-2713-106.html(取得日期: 2017/9/17)
李英碩. (2007),「客服中心人員排班問題之整數規劃」。國立清華大學工業工程與工程管理研究所碩士學位論文
吳明隆. (2010). SPSS操作與應用:變異數分析實務. 台北: 五南.
曹俊平 (2016),「結合離散模擬模式及模糊多屬性決策方法求解急診室倒入單元工程布置問題」。國立成功大學製造資訊與系統研究所碩士學位論文
黃榮華、蔡智豪,2003,護理人員僱用及排班整合問題,輔仁管理評論,10(3),105-138。
楊大和與謝瓊嬉 (2008),電子業向汽車業取經-精實生產在TFT-LCD 產業成功的應用,品質月刊,2008,9月
Ahmed, M. A., & Alkhamis, T. M. (2009). Simulation optimization for an emergency department healthcare unit in Kuwait. European journal of operational research, 198(3), 936-942.
Arbuckle, J. L. (2006). 17.0 User’s Guide. Paper presented at the Crawfordville, FL. Amos Development Corporation.
Banks, J. (2005). Discrete Event System Simulation: Pearson Education India.
Beasley, J. E., & Cao, B. (1996). A tree search algorithm for the crew scheduling problem. European journal of operational research, 94(3), 517-526.
Brusco, M. J., & Jacobs, L. W. (2001). Starting-time decisions in labor tour scheduling: An experimental analysis and case study. European journal of operational research, 131(3), 459-475.
Derlet, R. W. (2002). Overcrowding in emergency departments: increased demand and decreased capacity. Annals of emergency medicine, 39(4), 430-432.
Ding, Y., Park, E., Nagarajan, M., & Grafstein, E. (2018). Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of Canadian Triage and Acuity Scale (CTAS) (January 12, 2018). Available at SSRN: https://ssrn.com/abstract=2843932 or http://dx.doi.org/10.2139/ssrn.2843932.
Feng, Y.-Y., Wu, I.-C., & Chen, T.-L. (2017). Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm. Health care management science, 20(1), 55-75.
Gilboy, N., Travers, D., & Wuerz, R. (1999). Re-evaluating triage in the new millennium: a comprehensive look at the need for standardization and quality. Journal of Emergency Nursing, 25(6), 468-473.
Glover, F., Laguna, M., & Martí, R. (2000). Fundamentals of scatter search and path relinking. Control and cybernetics, 29(3), 653-684.
Graban, M. (2011). Lean Hospitals: Improving Quality, Patient Safety, and Employee Satisfaction: CRC Press.
Guo, H., Gao, S., Tsui, K.-L., & Niu, T. (2017). Simulation Optimization for Medical Staff Configuration at Emergency Department in Hong Kong. IEEE Transactions on Automation Science and Engineering, 14(4), 1655-1665.
Hopp, W. J., & Spearman, M. L. (2011). Factory Physics: Waveland Press.
Kellermann, A. L. (2006). Crisis in the emergency department. New England Journal of Medicine, 355(13), 1300-1303.
Kelton, W. D., Sadowski, R. P., & B, Z. N. (2002). Simulation With ARENA. Newyork: McGraw-hill.
Krafcik, J. F. (1988). Triumph of the lean production system. MIT Sloan Management Review, 30(1), 41.
Law, A. M., & Kelton, W. D. (2007). Simulation Modeling and Analysis (Vol. 3): McGraw-Hill New York.
Liker, J. K. (2004). The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer. New York: McGraw Hill.
Mattia, S., Rossi, F., Servilio, M., & Smriglio, S. (2017). Staffing and scheduling flexible call centers by two-stage robust optimization. Omega, 72, 25-37.
Morris, J. G., & Showalter, M. J. (1983). Simple approaches to shift, days-off and tour scheduling problems. Management Science, 29(8), 942-950.
Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production: crc Press.
Womack, J. P., Jones, D. T., & Roos, D. (1990). Machine that Changed the World: Simon and Schuster.