Artikel

GRASP with Hybrid Path Relinking for Bi-Objective Winner Determination in Combinatorial Transportation Auctions

The procurement of transportation services via large-scale combinatorial auctions involves a couple of complex decisions whose outcome highly influences the performance of the tender process. This paper examines the shipper's task of selecting a subset of the submitted bids which efficiently trades off total procurement cost against expected carrier performance. To solve this bi-objective winner determination problem, we propose a Pareto-based greedy randomized adaptive search procedure (GRASP). As a post-optimizer we use a path relinking procedure which is hybridized with branch-and-bound. Several variants of this algorithm are evaluated by means of artificial test instances which comply with important real-world characteristics. The two best variants prove superior to a previously published Pareto-based evolutionary algorithm.

Sprache
Englisch

Erschienen in
Journal: BuR - Business Research ; ISSN: 1866-8658 ; Volume: 3 ; Year: 2010 ; Issue: 2 ; Pages: 192-213 ; Göttingen: VHB - Verband der Hochschullehrer für Betriebswirtschaft, German Academic Association of Business Research

Klassifikation
Management
Thema
combinatorial auction
transportation procurement
set covering problem
multi-criteria decision making
Pareto optimization
GRASP
Beschaffungsplanung
Transportlogistik
Containerverkehr
Evolutionärer Algorithmus
Multikriteria-Verfahren
Pareto-Optimum

Ereignis
Geistige Schöpfung
(wer)
Buer, Tobias
Pankratz, Giselher
Ereignis
Veröffentlichung
(wer)
VHB - Verband der Hochschullehrer für Betriebswirtschaft, German Academic Association of Business Research
(wo)
Göttingen
(wann)
2010

DOI
doi:10.1007/BF03342722
Handle
URN
urn:nbn:de:0009-20-26859
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Buer, Tobias
  • Pankratz, Giselher
  • VHB - Verband der Hochschullehrer für Betriebswirtschaft, German Academic Association of Business Research

Entstanden

  • 2010

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