English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 95906/126496 (76%)
Visitors : 31670389      Online Users : 437
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/97705
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/97705

    Title: Simulating Time-Varying Demand Services with Queuing Models
    Authors: 郁方
    Chu, Hsuan-Kai;Cheny, Wan-Ping;Yu, Fang
    Contributors: 資管系
    Keywords: Arrival rate estimation;Service simulation;Time-varying demands;Resource provision
    Date: 2016-05
    Issue Date: 2016-06-06 15:58:29 (UTC+8)
    Abstract: Resource provision for services that have timevarying demands has raised a great concern to service providers aiming at high-standard service quality. We propose a new resource provision approach using service simulation and arrival rate estimation that integrates unsupervised clustering and statistics techniques. We first cluster days that have similar arrival patterns together, where from each cluster we can reveal and separate days having different reasons for time-varying demands of the service. We then adopt the two layer business factor model to estimate multi-interval Poisson arrival distributions on daily bases for simulating stochastic processes. Applying simulation on queuing models with multi-interval Poisson arrival processes, we can observe stochastic changes of customer waiting time, queuing lengths and number of workers under different service strategies. We conduct a case study on an electricity service call center in real industries, showing how to build adequate resource provision and estimation against history data in past years and how the performance improved compared to their previous heuristics in real life operations.
    Relation: the 13th IEEE International Conference on Services Computing, IEEE Service Society
    Data Type: conference
    Appears in Collections:[資訊管理學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    410272.pdf720KbAdobe PDF343View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback