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Article
Data sources: zbMATH Open
https://doi.org/10.1007/bfb012...
Part of book or chapter of book . 1981 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.1007/bfb...
Other literature type
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Traffic scheduling via Benders decomposition

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Other literature type 01 Jan 1981Publisher:Springer Berlin Heidelberg
Authors: Love, Robert R. jun.;

doi: 10.1007/bfb0120940

Traffic scheduling via Benders decomposition

Abstract

This paper presents a mathematical formulation and a solution technique for a class of traffic scheduling problems. Each problem in this class is characterized by a company-owned fleet of tractors and trailers, a calendar of shipments to be made during a specified scheduling period, and an option to contract any shipment to an independent hauler.

Keywords

Applications of mathematical programming, Benders decomposition algorithm, Deterministic scheduling theory in operations research, mathematical formulation, routing, transportation fleet management, Deterministic network models in operations research, Integer programming, solution technique, network applications, traffic scheduling

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    		 3
    popularity
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    		 Average
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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