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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳政鴻(Cheng-Hung Wu) | |
dc.contributor.author | Chia-Yu Chang | en |
dc.contributor.author | 張家瑜 | zh_TW |
dc.date.accessioned | 2021-06-15T07:05:07Z | - |
dc.date.available | 2015-12-17 | |
dc.date.copyright | 2010-12-17 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-12-13 | |
dc.identifier.citation | Alstrup, J., S.-E. Andersson, et al. (1989). 'Booking Control Increases Profit at Scandinavian Airlines.' Interfaces 19(4): 10-19.
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48622 | - |
dc.description.abstract | 伴隨著高齡化與醫療服務技術的精進,醫療保健支出快步成長,醫療服務業的經營管理與效率提升已成為我國的重要挑戰。因此,如何在兼顧社會公平與經營績效的前提下,提高醫療服務的附加價值,將成為醫療系統轉型與提升的關鍵。當資源有限下,為適度分配資源,以提昇醫療資源使用率、降低顧客等候時間,並減少受未到診顧客影響而閒置之關鍵資源浪費,本研究利用動態規劃方法提出一動態超額預約模式,於考量需求、取消、未到診之不確定性下,求解各時期、狀態下最佳資源超額預約決策。不同於製造產業,其目標為最大化營收,於醫療服務產業中需考量醫療服務品質與機構營收,本模式設計以效用函數權衡兩者並作為模式規劃之目標函式。以台大醫院健康管理中心營運現況為例,並利用其歷史數據以分析得需求、取消及未到診之機率分配,求解各時期最佳動態超額量。研究中另外建構一驗證用模擬模式,將動態超額預約管理策略與另外兩種管理方式比較,分別為靜態超額預約方式與無超額預約方式。模擬結果顯示動態超額預約管理策略確實績效表現顯著優於無超額預約方法,證實其合理性與可行性;此外,改變取消、未到診及顧客願意等待時間等模擬環境設定之參數分析,亦證實靜態超額預約方法雖在原高取消、高需求環境下有不錯的表現,但在環境變動下動態超額預約方法則優異的穩健性。 | zh_TW |
dc.description.abstract | To improve the operation performance in the health service organization a dynamic overbooking model (DOM) was proposed to determine how many resources are released to be scheduled. Unlike in other industries, in dealing with optimization problems in health care, social morality and fairness have to be considered. Thus, we used an utility function to judge the performance in terms of the compromise between service quality for patients and revenue for the organization. The objective was to maximize the expected utilities. To verify this model, we established a registration simulation model and analyzed historical data from health management Center (HMC) in NTU Hospital to obtain relative parameters for describing demand environment. DOM was then compared with two alternative policies: the no overbooking and static overbooking policy (SOP). Sensitive analyses show DOM is robust under diversified health care environments. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T07:05:07Z (GMT). No. of bitstreams: 1 ntu-99-R97546006-1.pdf: 4019708 bytes, checksum: 67a655a6bbaf7ebea42aafc8226f7826 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 誌謝 i
中文摘要 ii Abstract iii 目錄 iv 圖表目錄 vi 表格目錄 viii 第 1 章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 3 1.3 研究步驟 4 第 2 章 文獻回顧 6 2.1 問題特性 6 2.2 數學求解方法 10 2.3 醫療服務產業 12 2.4 小結 16 第 3 章 問題描述 17 3.1 問題描述 17 3.2 問題假設 18 3.3 動態規劃模型 18 3.3.1 決策時程 20 3.3.2 狀態 21 3.3.3 決策 21 3.3.4 轉移機率 21 3.3.5 回饋 23 3.3.6 迭代演算法 24 第 4 章 模型評估 25 4.1 以台大醫院健檢中心為例 25 4.2 模擬模式說明 31 4.3 效用函數 35 4.3.1 線性效用函數 35 4.3.2 顧客組成效用函數 35 4.3.3 求解結果與模擬分析 38 4.4 參數分析 51 4.4.1 改變未到診率 51 4.4.2 改變取消率 56 4.4.3 改變顧客預約等待期間 59 第 5 章 結論與未來展望 62 5.1 結論 62 5.2 未來研究方向 62 參考文獻 64 | |
dc.language.iso | zh-TW | |
dc.title | 動態需求管理應用於醫療服務 | zh_TW |
dc.title | Dynamic Demand Management for Health Care Service | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 余竣瑜,洪一薰,陳文智,郭佳瑋 | |
dc.subject.keyword | 動態需求管理,動態規劃,醫療照護,動態超額預約, | zh_TW |
dc.subject.keyword | dynamic demand management,dynamic programming,health care,dynamic overbooking, | en |
dc.relation.page | 65 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-12-13 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
顯示於系所單位: | 工業工程學研究所 |
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