Queue Modeling and Performance Improvement of a Multi-step Municipal Solid Waste Transfer Station: A Case Study.

Saved in:
Bibliographic Details
Title: Queue Modeling and Performance Improvement of a Multi-step Municipal Solid Waste Transfer Station: A Case Study.
Authors: Fang, Qiu1 qfang@hnu.edu.cn, Liu, Xiaorui2 liuxiaorui@hnu.edu.cn, Zhou, Jiakang2 154886089@qq.com, Zhu, Han3 sdaqzh@163.com, Jia, Zhihao4 jia13220716491@163.com
Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2557-2569. 13p.
Subjects: Solid waste management, Simulation methods & models, Probability density function, Queuing theory, Waste management, Mathematical optimization
Geographic Terms: Shanghai (China), China
Abstract: A waste transfer station is a critical infrastructure for daily municipal solid waste management. In this paper, we showcase the modeling and simulation for a complex, largescale, and real domestic waste transfer station in Shanghai, China. Thanks to the actual operation situation and historical operation data, our work establishes a high-fidelity multistep transfer station simulation model. First, the holistic simulation model consists of two sub-models as per the actual operation rules of the transfer station. Without knowing the exact distribution form, a time probability density distribution model is established based on kernel density estimation and incorporated into the two sub-models. Second, built on the simulation model, two operational schemes are proposed to improve waste processing efficiency. The simulation results show that the proposed model can accurately capture the behaviors of the waste transfer system. Furthermore, the model carries out validation results and quantitatively analyzes the feasibility of operational schemes in a real-time manner to assist in decisionmaking for system operators. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 195088761
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Queue Modeling and Performance Improvement of a Multi-step Municipal Solid Waste Transfer Station: A Case Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fang%2C+Qiu%22">Fang, Qiu</searchLink><relatesTo>1</relatesTo><i> qfang@hnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiaorui%22">Liu, Xiaorui</searchLink><relatesTo>2</relatesTo><i> liuxiaorui@hnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jiakang%22">Zhou, Jiakang</searchLink><relatesTo>2</relatesTo><i> 154886089@qq.com</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Han%22">Zhu, Han</searchLink><relatesTo>3</relatesTo><i> sdaqzh@163.com</i><br /><searchLink fieldCode="AR" term="%22Jia%2C+Zhihao%22">Jia, Zhihao</searchLink><relatesTo>4</relatesTo><i> jia13220716491@163.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. Jul2026, Vol. 34 Issue 7, p2557-2569. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Solid+waste+management%22">Solid waste management</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+density+function%22">Probability density function</searchLink><br /><searchLink fieldCode="DE" term="%22Queuing+theory%22">Queuing theory</searchLink><br /><searchLink fieldCode="DE" term="%22Waste+management%22">Waste management</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Shanghai+%28China%29%22">Shanghai (China)</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A waste transfer station is a critical infrastructure for daily municipal solid waste management. In this paper, we showcase the modeling and simulation for a complex, largescale, and real domestic waste transfer station in Shanghai, China. Thanks to the actual operation situation and historical operation data, our work establishes a high-fidelity multistep transfer station simulation model. First, the holistic simulation model consists of two sub-models as per the actual operation rules of the transfer station. Without knowing the exact distribution form, a time probability density distribution model is established based on kernel density estimation and incorporated into the two sub-models. Second, built on the simulation model, two operational schemes are proposed to improve waste processing efficiency. The simulation results show that the proposed model can accurately capture the behaviors of the waste transfer system. Furthermore, the model carries out validation results and quantitatively analyzes the feasibility of operational schemes in a real-time manner to assist in decisionmaking for system operators. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195088761
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2557
    Subjects:
      – SubjectFull: Solid waste management
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Probability density function
        Type: general
      – SubjectFull: Queuing theory
        Type: general
      – SubjectFull: Waste management
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Shanghai (China)
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Queue Modeling and Performance Improvement of a Multi-step Municipal Solid Waste Transfer Station: A Case Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fang, Qiu
      – PersonEntity:
          Name:
            NameFull: Liu, Xiaorui
      – PersonEntity:
          Name:
            NameFull: Zhou, Jiakang
      – PersonEntity:
          Name:
            NameFull: Zhu, Han
      – PersonEntity:
          Name:
            NameFull: Jia, Zhihao
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1816093X
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Engineering Letters
              Type: main
ResultId 1