Sub-optimization of bank queuing system by qualitative and quantitative analysis

Azmat Ullah, Khalid Iqbal, Xiao-dong Zhang*, Muhammad Ayat

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper is a study of staff issues at the bank, ICBC China. Due to extra and imbalanced staff, the system was idle most of the time. By using the qualitative approach, M/M/s queuing model and discrete event simulation, the staff was sub-optimized. First, observation of the system was conducted and recorded using the existing operations system used by the bank. Arrival time of customers, service time, and the waiting time customers are willing to wait are all included in the data collection. Second, we analyzed the inter arrival time and service time by using the quantitative method and forecast the improvement in the system. We find out that the utilization of the system was very ineffective. Next, we suggested qualitative approach in the designing of queuing system of the bank. Finally, building and validation of a computer simulation model of a bank queuing system was conducted by using POM-QM software. ‘A quantitative analysis and simulation was conducted and sub-optimized the system. The resulting design has a fewer number of service representatives, higher utilization and a waiting time within the limit of the customer’s expected time.
Original languageEnglish
Title of host publicationThe 11th International Conference on Service Systems and Service Management
Subtitle of host publicationICSSSM'2014, June 25-27,2014, Beijing, China, Proceeding
EditorsBin Ning, Jian Chen, Xiaoqiang Cai, Zhenji Zhang, Runtong Zhang, Juliang Zhang
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages6
ISBN (Electronic)9781479931347, 9781479931330
DOIs
Publication statusPublished - 11 Aug 2014
Externally publishedYes

Publication series

NameIEEE Conference Proceedings
PublisherIEEE
ISSN (Print)2161-1890
ISSN (Electronic)2161-1904

Keywords

  • queuing theory
  • simulation
  • customers perception
  • system optimization

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