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Strategic vehicle fleet management–a joint solution of make-or-buy, composition and replacement problems.

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Title: Strategic vehicle fleet management–a joint solution of make-or-buy, composition and replacement problems.
Authors: Redmer, Adam1 (AUTHOR) adam.redmer@put.poznan.pl
Source: Journal of Quality in Maintenance Engineering. 2022, Vol. 28 Issue 2, p327-349. 23p.
Subjects: Value engineering, Vehicle routing problem, Motor vehicle fleets, Vehicles
Abstract: Purpose: The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them. Design/methodology/approach: The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet. Findings: There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones. Originality/value: The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Quality in Maintenance Engineering is the property of Emerald Publishing Limited 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
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 155965069
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Strategic vehicle fleet management–a joint solution of make-or-buy, composition and replacement problems.
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  Data: <searchLink fieldCode="AR" term="%22Redmer%2C+Adam%22">Redmer, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> adam.redmer@put.poznan.pl</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Quality+in+Maintenance+Engineering%22">Journal of Quality in Maintenance Engineering</searchLink>. 2022, Vol. 28 Issue 2, p327-349. 23p.
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  Data: <searchLink fieldCode="DE" term="%22Value+engineering%22">Value engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Vehicle+routing+problem%22">Vehicle routing problem</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+fleets%22">Motor vehicle fleets</searchLink><br /><searchLink fieldCode="DE" term="%22Vehicles%22">Vehicles</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them. Design/methodology/approach: The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet. Findings: There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones. Originality/value: The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Quality in Maintenance Engineering is the property of Emerald Publishing Limited 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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1108/JQME-04-2020-0026
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 327
    Subjects:
      – SubjectFull: Value engineering
        Type: general
      – SubjectFull: Vehicle routing problem
        Type: general
      – SubjectFull: Motor vehicle fleets
        Type: general
      – SubjectFull: Vehicles
        Type: general
    Titles:
      – TitleFull: Strategic vehicle fleet management–a joint solution of make-or-buy, composition and replacement problems.
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              Text: 2022
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              Y: 2022
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