• DocumentCode
    104302
  • Title

    Parallel Service Management Framework and Application to Railway Station Layout Planning

  • Author

    Lefei Li ; Chen Lyu ; Jun Luo ; Shuyun Yang ; Chenxu Dai

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    30
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar.-Apr. 2015
  • Firstpage
    54
  • Lastpage
    61
  • Abstract
    People always say that the customer is god, but do they really understand this "god"? In practice, the nature of service, such as its intangibility and heterogeneity, makes the effective management of service operations difficult. To better incorporate human behaviors and other complex factors to facilitate service management decisions, the authors propose a new approach called parallel service management. PSM, which follows the ACP framework, is an emerging methodology in complex systems modeling and analysis. In PSM, customer agents, service employee agents, service organization agents, and the service environment construct an artificial service system, which can run in parallel with the real service system. The authors developed an agent-based artificial service system for the Chengdu East Railway Station, which let them make better layout planning decisions. The modification plan was then implemented in the station and achieved significant increase in store entering rate. Statistical comparison proves PSM\´s potential to enhance the performance of the real service systems.
  • Keywords
    large-scale systems; multi-agent systems; parallel processing; planning; railways; statistical analysis; ACP framework; Chengdu East Railway Station; PSM; agent-based artificial service system; complex systems analysis; complex systems modeling; customer agents; parallel service management framework; railway station layout planning; service employee agents; service environment; service organization agents; statistical comparison; Complex systems; Modeling; Parallel management; Planning; Railway transportation; ACP; complex systems modeling; intelligent systems; parallel management; service science;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.31
  • Filename
    7061667