• DocumentCode
    619940
  • Title

    Research on allocation optimization of Qinhuangdao waste transfer station based on queuing service system

  • Author

    Chao Liu ; Li, Edward ; Yuanke Li

  • Author_Institution
    Inst. of Syst. Sci., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    1521
  • Lastpage
    1524
  • Abstract
    The waste transfer station allocation optimization of urban life is an important part in the process of garbage disposal. According to M/M/S queuing model and relevant statistical data, waste transfer station allocation of Qinhuangdao is investigated based on queuing service system in this paper. The proposed model is studied by using computer simulation, and simulation results reveal that there are some disadvantages for the existing resources and services management, such as the average queue length lasts for bigger, and the customer usually waits for a long time. In view of the above shortcomings, queuing theory method is utilized for allocation optimization research. In the case of compression equipment number is 2, optimal service rate μ* = 11.1516 is obtained in this paper, which is higher than the current service rate and the cost of queuing service system in waste transfer station can be reduced by improving the service rate. Furthermore, in the case of service rate unchanged, the optimal service number s* = 3 is obtained and a compression equipment can be applied in the model to make the system optimized. Finally, numerical simulations are carried out to show efficiency of the theoretical analysis obtained in this paper.
  • Keywords
    numerical analysis; optimisation; queueing theory; refuse disposal; M/M/S queuing model; Qinhuangdao waste transfer station allocation optimization; average queue length; compression equipment number; computer simulation; garbage disposal process; numerical simulations; optimal service rate; queuing service system; relevant statistical data; service management; urban life; Cities and towns; Computational modeling; Educational institutions; Mathematical model; Optimization; Queueing analysis; Vehicles; Matlab; Optimal service number; Optimal service rate; Queuing theory; Waste transfer station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561169
  • Filename
    6561169