EconPapers    
Economics at your fingertips  
 

A new simulated annealing algorithm for the freight consolidation problem

Erk Struwe (), Xin Wang (), Christopher Sander and Herbert Kopfer
Additional contact information
Erk Struwe: University of Bremen, Chair of Logistics
Xin Wang: University of Bremen, Chair of Logistics

A chapter in Operations Research Proceedings 2011, 2012, pp 299-304 from Springer

Abstract: Abstract Logistics services are one of the most outsourced activities today. Freight charges for the outsourced transportation requests are mostly calculated based on tariff agreements depending on their quantities and distances. Due to economies of scale, it is beneficial for the outsourcing company to consolidate their requests, which is called the Freight Consolidation Problem (FCP). In this paper, the FCP is formally defined and modeled. To solve large-scale instances, a simulated annealing algorithm is proposed and tested on newly generated instances. Results show that the algorithm can provide good solutions within acceptable computational times.

Keywords: Simulated Annealing Algorithm; Insertion Cost; Pickup Location; Customer Node; Swap Operator (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:oprchp:978-3-642-29210-1_48

Ordering information: This item can be ordered from
http://www.springer.com/9783642292101

DOI: 10.1007/978-3-642-29210-1_48

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-642-29210-1_48