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
Link To Document