Bin packing with lexicographic objectives for loading weight- and volume-constrained trucks in a direct-shipping system
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Katrin Hessler
- Stefan Irnich
- Tobias Kreiter
- Ulrich Pferschy
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000673244100001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1007/s00291-021-00628-x
- eISSN
- 1436-6304
- Externe Identifier
- Clarivate Analytics Document Solution ID: 1N9MP
- ISSN
- 0171-6468
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- OR SPECTRUM
- Schlüsselwörter
- Bin packing
- Lexicographic objective
- Heuristics
- Column generation
- Dual-optimal inequalities
- Paginierung
- 375 - 417
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Bin packing with lexicographic objectives for loading weight- and volume-constrained trucks in a direct-shipping system
- Sub types
- Article
- Ausgabe der Zeitschrift
- 44
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>We consider a packing problem that arises in a direct-shipping system in the food and beverage industry: Trucks are the containers, and products to be distributed are the items. The packing is constrained by two independent quantities, weight (e.g., measured in kg) and volume (number of pallets). Additionally, the products are grouped into the three categories: standard, cooled, and frozen (the latter two require refrigerated trucks). Products of different categories can be transported in one truck using separated zones, but the cost of a truck depends on the transported product categories. Moreover, splitting orders of a product should be avoided so that (un-)loading is simplified. As a result, we seek for a feasible packing optimizing the following objective functions in a strictly lexicographic sense: minimize the (1) total number of trucks; (2) number of refrigerated trucks; (3) number of refrigerated trucks which contain frozen products; (4) number of refrigerated trucks which also transport standard products; (5) and minimize splitting. This is a real-world application of a bin-packing problem with cardinality constraints a.k.a. the two-dimensional vector packing problem with additional constraints. We provide a heuristic and an exact solution approach. The heuristic meta-scheme considers the multi-compartment and item fragmentation features of the problem and applies various problem-specific heuristics. The exact solution algorithm covering all five stages is based on branch-and-price using stabilization techniques exploiting dual-optimal inequalities. Computational results on real-world and difficult self-generated instances prove the applicability of our approach.</jats:p>
- Autoren
- Katrin Heßler
- Stefan Irnich
- Tobias Kreiter
- Ulrich Pferschy
- DOI
- 10.1007/s00291-021-00628-x
- eISSN
- 1436-6304
- ISSN
- 0171-6468
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- OR Spectrum
- Sprache
- en
- Online publication date
- 2021
- Paginierung
- 1 - 43
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1007/s00291-021-00628-x
- Datum der Datenerfassung
- 2022
- Titel
- Bin packing with lexicographic objectives for loading weight- and volume-constrained trucks in a direct-shipping system
- Ausgabe der Zeitschrift
- 44
Datenquelle: Crossref
- Author's licence
- CC-BY
- Autoren
- Katrin Heßler
- Stefan Irnich
- Tobias Kreiter
- Ulrich Pferschy
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- JGU-Publikationen
- Resource version
- Published version
- DOI
- 10.1007/s00291-021-00628-x
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1436-6304
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- OR spectrum
- Schlüsselwörter
- 330 Wirtschaft
- 330 Economics
- 650 Management
- 650 Management and auxiliary services
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- 375 - 417
- Datum der Veröffentlichung
- 2022
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/7230
- Herausgeber
- Springer
- Datum der Datenerfassung
- 2022
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Zugang
- Public
- Titel
- Bin packing with lexicographic objectives for loading weight- and volume-constrained trucks in a direct-shipping system
- Ausgabe der Zeitschrift
- 44
Files
bin_packing_with_lexicographi-20220624141747293.pdf
Datenquelle: OPENSCIENCE.UB
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