YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A Multiple-Objective Decision-Support Model for Lighting Maintenance Routing Considering Carbon Dioxide Emissions and Balanced Workload

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 008::page 04023063-1
    Author:
    Liheng Tan
    ,
    Yuxuan Zhang
    ,
    Yuan Chen
    ,
    Tianle Zhu
    DOI: 10.1061/JCEMD4.COENG-12873
    Publisher: ASCE
    Abstract: The lighting system as a crucial urban infrastructure needs to be maintained to uphold good performance. The planning and scheduling of maintenance for geographically distributed lighting systems is a complex research problem as well as a challenge in practice due to resource constraints and the complexity of route planning. This study proposes a multiple-objective decision-support model (MODSM) for lighting maintenance routing, which considers both the carbon emissions generated during the maintenance process and the loss of efficiency due to workload imbalance among maintenance crews. In the proposed model, carbon emissions are converted into a carbon tax index as part of the total cost index (along with the pure cost index), while the workload balance is measured by the standard deviation of workload indexes among the crews. To address the identified problem, an improved genetic algorithm is used to identify the optimal solution for group relamping. A numerical example is provided to demonstrate the suitability of the developed model to the selection of an optimal maintenance scheme, including the number of maintenance crews and their corresponding maintenance routes. Finally, the performance of the proposed model is assessed by sensitivity analysis and comparison with the traditional method. Integrating the interests of multiple stakeholders and environmental protection, the MODSM for lighting maintenance routing developed in this study can provide a helpful tool for researchers and practitioners in the construction engineering and management community to formulate a more comprehensive decision into maintenance management.
    • Download: (1.096Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A Multiple-Objective Decision-Support Model for Lighting Maintenance Routing Considering Carbon Dioxide Emissions and Balanced Workload

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4293409
    Collections
    • Journal of Construction Engineering and Management

    Show full item record

    contributor authorLiheng Tan
    contributor authorYuxuan Zhang
    contributor authorYuan Chen
    contributor authorTianle Zhu
    date accessioned2023-11-27T23:14:46Z
    date available2023-11-27T23:14:46Z
    date issued5/23/2023 12:00:00 AM
    date issued2023-05-23
    identifier otherJCEMD4.COENG-12873.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293409
    description abstractThe lighting system as a crucial urban infrastructure needs to be maintained to uphold good performance. The planning and scheduling of maintenance for geographically distributed lighting systems is a complex research problem as well as a challenge in practice due to resource constraints and the complexity of route planning. This study proposes a multiple-objective decision-support model (MODSM) for lighting maintenance routing, which considers both the carbon emissions generated during the maintenance process and the loss of efficiency due to workload imbalance among maintenance crews. In the proposed model, carbon emissions are converted into a carbon tax index as part of the total cost index (along with the pure cost index), while the workload balance is measured by the standard deviation of workload indexes among the crews. To address the identified problem, an improved genetic algorithm is used to identify the optimal solution for group relamping. A numerical example is provided to demonstrate the suitability of the developed model to the selection of an optimal maintenance scheme, including the number of maintenance crews and their corresponding maintenance routes. Finally, the performance of the proposed model is assessed by sensitivity analysis and comparison with the traditional method. Integrating the interests of multiple stakeholders and environmental protection, the MODSM for lighting maintenance routing developed in this study can provide a helpful tool for researchers and practitioners in the construction engineering and management community to formulate a more comprehensive decision into maintenance management.
    publisherASCE
    titleA Multiple-Objective Decision-Support Model for Lighting Maintenance Routing Considering Carbon Dioxide Emissions and Balanced Workload
    typeJournal Article
    journal volume149
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-12873
    journal fristpage04023063-1
    journal lastpage04023063-11
    page11
    treeJournal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 008
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian