石門水庫服務台及票站人員排班最佳化之研究

NCUIR > Engineering College > Executive Master of Civil Engineering > Electronic Thesis & Dissertation > Item 987654321/73820

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/73820

Title:	石門水庫服務台及票站人員排班最佳化之研究
Authors:	林政志;Lin, Cheng-Chih
Contributors:	土木工程學系在職專班
Keywords:	石門水庫;人工指派;整數規劃;最佳化;LINGO;Shimen Reservoir;Manual assignment;Integer programming;Optimization;LINGO
Date:	2017-07-24
Issue Date:	2017-10-27 12:25:31 (UTC+8)
Publisher:	國立中央大學
Abstract:	石門水庫是台灣北部地區重要觀光景點，為維持園區正常營運與環境設施維護，設收票站對入園車輛收取停車費，服務台提供旅遊諮詢，碼頭搭乘遊艇環湖。然而，目前排班工作，均以人工指派方式決定，缺乏效率及系統性分析，易受個人主觀意識及經驗而影響其公平性。且本(106)年配合勞動基準法第36條修正執行1例1休，人工指派已難以滿足排班需求。爰此，本研究利用0-1整數規劃方法，建構數學模式，發展一人員排班最佳化決策模式，運用LINGO 14.0版數學規劃套裝軟體，結合Microsoft Excel 2007版試算表軟體程式之資料嵌入及匯出，進行模式運算求解。最後，本研究以石門水庫服務台及票站排班為測試範例，其結果良好，顯示本研究模式確實較人工指派更有效率及公平性，且經敏感度及方案分析，具高度穩定性及可靠度，可作為決策者進行人員排班應用之參考。;Shimen Reservoir is an important sightseeing spot in northern Taiwan. In addition, to maintain the recreation facilities, a ticket booth was set to charge for the parking fee. Tourists can obtain the travel information from the service centers and enjoy beautiful scenery of the reservoir by taking a yacht. However, scheduling the staff of service centers and the ticket booth are assigned manually, lacking an efficient and a systematic model. The fairness of scheduling is easily affected by personal awareness and experience. Moreover, because of article 36 of the Labor Standards Act (“one fixed day off and one flexible rest day”) it is more difficult to schedule by manual assignment. Therefore, in this study, 0-1 integer programming is utilized to develop an optimal model for assigning the staff to the service centers and the ticket booth. The mathematical programming software LINGO 14.0, coupled with the data processing software Microsoft Excel 2007, was used to solve the problem. Using real data from Shimen Reservoir has shown great results in this model. The work of scheduling has become more efficient and fairer than manual assignment. Through sensitivity analysis and case analysis, it shows results that the model is highly stable and reliable. This model provides a useful tool for supervisors to organize the staff schedule.
Appears in Collections:	[Executive Master of Civil Engineering] Electronic Thesis & Dissertation

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