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    Utilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author:
    Hisham Said
    ,
    Tony Nicoletti
    ,
    Peter Perez-Hernandez
    DOI: 10.1061/(ASCE)CP.1943-5487.0000444
    Publisher: American Society of Civil Engineers
    Abstract: Contractors and equipment rental companies have started to acknowledge and use the telematics technology as a reliable solution for timely collection of their equipment fleet data. Telematics is the integration of wireless communications, vehicle monitoring systems, and location devices to provide real-time spatial and performance data of the fleet machines. Despite the large amount of real-time equipment data made available by telematics, fleet managers still try to identify ways to use such data to make informed fleet-management decisions. This paper presents the development of novel telematics-based computational methodologies to support two major equipment fleet management tasks: fleet use assessment and equipment health monitoring. First, a description of the telematics system and data used are presented. Second, a computational algorithm is proposed to quantify the fleet-wide equipment used, based on basic telematics data. Third, a health-monitoring framework is developed to estimate equipment failure events using telematics-based hazard functions, which were developed using survival analysis techniques. Finally, the telematics data sets of large equipment fleets (dozers, excavators, backhoes, and dump trucks) from two companies are used to verify and validate the proposed research developments by providing insightful fleet-management information.
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      Utilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4245435
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    • Journal of Computing in Civil Engineering

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    contributor authorHisham Said
    contributor authorTony Nicoletti
    contributor authorPeter Perez-Hernandez
    date accessioned2017-12-30T13:04:59Z
    date available2017-12-30T13:04:59Z
    date issued2016
    identifier other%28ASCE%29CP.1943-5487.0000444.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245435
    description abstractContractors and equipment rental companies have started to acknowledge and use the telematics technology as a reliable solution for timely collection of their equipment fleet data. Telematics is the integration of wireless communications, vehicle monitoring systems, and location devices to provide real-time spatial and performance data of the fleet machines. Despite the large amount of real-time equipment data made available by telematics, fleet managers still try to identify ways to use such data to make informed fleet-management decisions. This paper presents the development of novel telematics-based computational methodologies to support two major equipment fleet management tasks: fleet use assessment and equipment health monitoring. First, a description of the telematics system and data used are presented. Second, a computational algorithm is proposed to quantify the fleet-wide equipment used, based on basic telematics data. Third, a health-monitoring framework is developed to estimate equipment failure events using telematics-based hazard functions, which were developed using survival analysis techniques. Finally, the telematics data sets of large equipment fleets (dozers, excavators, backhoes, and dump trucks) from two companies are used to verify and validate the proposed research developments by providing insightful fleet-management information.
    publisherAmerican Society of Civil Engineers
    titleUtilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions
    typeJournal Paper
    journal volume30
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000444
    page04014122
    treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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