Multiple objective optimization of the fleet sizing problem for road freight transportation.

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Title: Multiple objective optimization of the fleet sizing problem for road freight transportation.
Authors: Zak, Jacek, Redmer, Adam, Sawicki, Piotr
Source: Journal of Advanced Transportation. Oct2008, Vol. 42 Issue 4, p379-427. 49p.
Subjects: Mathematical models, Multiple criteria decision making, Mathematical programming, Queuing theory, Freight & freightage, Transportation
Abstract: A fleet sizing problem (FSP) in a road freight transportation company with heterogeneous fleet and its own technical back-up facilities is considered in the paper. The mathematical model of the decision problem is formulated in terms of multiple objective mathematical programming based on queuing theory. Technical and economical criteria as well as interests of different stakeholders are taken into account in the problem formulation. The solution procedure is composed of two steps. In the first one a sample of Pareto-optimal solutions is generated by an original program called MEGROS. In the second step this set is reviewed and evaluated, according to the Decision Maker's (DM's) model of preferences. The evaluation of solutions is carried out with an application of an interactive multiple criteria analysis method, called Light Beam Search (LBS). Finally, the DM selects the most desirable, compromise solution. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell 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.)
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  Data: A fleet sizing problem (FSP) in a road freight transportation company with heterogeneous fleet and its own technical back-up facilities is considered in the paper. The mathematical model of the decision problem is formulated in terms of multiple objective mathematical programming based on queuing theory. Technical and economical criteria as well as interests of different stakeholders are taken into account in the problem formulation. The solution procedure is composed of two steps. In the first one a sample of Pareto-optimal solutions is generated by an original program called MEGROS. In the second step this set is reviewed and evaluated, according to the Decision Maker's (DM's) model of preferences. The evaluation of solutions is carried out with an application of an interactive multiple criteria analysis method, called Light Beam Search (LBS). Finally, the DM selects the most desirable, compromise solution. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell 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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      – Type: doi
        Value: 10.1002/atr.5670420402
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      – Code: eng
        Text: English
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        PageCount: 49
        StartPage: 379
    Subjects:
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Mathematical programming
        Type: general
      – SubjectFull: Queuing theory
        Type: general
      – SubjectFull: Freight & freightage
        Type: general
      – SubjectFull: Transportation
        Type: general
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      – TitleFull: Multiple objective optimization of the fleet sizing problem for road freight transportation.
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            NameFull: Zak, Jacek
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            NameFull: Redmer, Adam
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            – D: 01
              M: 10
              Text: Oct2008
              Type: published
              Y: 2008
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              Value: 42
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