MIP neighborhood search heuristics for a service network design problem with design-balanced requirements

Naoto Katayama ()
Additional contact information
Naoto Katayama: Distribution and Logistics Systems, Ryutsu Keizai University

Journal of Heuristics, 2020, vol. 26, issue 4, No 2, 475-502

Abstract: Abstract Service network design problems are used to address a variety of services in transportation and logistics planning. In the present paper, we consider the service network design problem with design-balanced requirements. This problem is particularly relevant to operations for consolidation transportation systems and determines the transportation network configuration and the characteristics of the corresponding services. We present a solution approach that combines a capacity scaling procedure for finding an initial feasible solution and a MIP neighborhood search for improving the solutions. Computational experiments on benchmark instances show that the proposed heuristic finds high-quality solutions in a short computation time.

Keywords: Service network design; Capacity scaling; MIP; Neighborhood search (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10732-020-09437-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joheur:v:26:y:2020:i:4:d:10.1007_s10732-020-09437-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10732

DOI: 10.1007/s10732-020-09437-x

Access Statistics for this article

Journal of Heuristics is currently edited by Manuel Laguna

More articles in Journal of Heuristics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().