Skip to main content
Log in

Network design for time-constrained delivery using subgraphs

  • Original Paper
  • Published:
Computational Management Science Aims and scope Submit manuscript

Abstract

Delivery companies are offering an increasing number of time-definite services. Yet, little research has been done that explores the design of delivery networks that can support these types of services. In this paper, we explore such design problems for networks with a specified number of edges \(B > n-1\), where \(n\) is the number of nodes in the problem. We present a two-phase heuristic solution approach that first constructs a network and then improves the network via local search. For the improvement phase, we extend neighborhood structures that have proven effective for tree-structured solutions and also identify a new search neighborhood that takes advantage of specific features of subgraph solutions. We present a computational analysis of our solution approach as well as managerial insights.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Caccetta L, Hartman IBA, Huang J (2001) Concerning the number of edges in a graph with diameter constraints. J Comb Math Comb Comput 36:161–173

    Google Scholar 

  • Chen H (2008) Network-design for time-constrained delivery. PhD thesis, The University of Iowa, Tippie College of Business

  • Chen H, Campbell AM, Thomas BW (2008) Network-design for time-constrained delivery. Naval Res Logist 55(6):493–515

    Article  Google Scholar 

  • Chen H, Campbell AM, Thomas BW, Tamir A (2009) Minimax flow tree problems. Networks 54(3): 117–129

    Article  Google Scholar 

  • Chen H, Campbell A, Thomas B (2012) Online supplementary materials for network design for time-constrained delivery using subgraphs. Online at Computational Management Science website

  • Daskin MS (1997) 150 U.S. largest cities. http://users.iems.northwestern.edu/msdaskin/

  • Datamonitor (2010) Express logistics in the united states. http://www.fastmr.com/prod/66006_logistics_in_the_united_states.aspx

  • Johnson DS, Lenstra JK, Kan AHGR (1978) The complexity of the network design problem. Networks 8:279–285

    Article  Google Scholar 

  • Li CL, Mccormick ST, Simchi-Levi D (1992) On the minimum-cardinality-bounded-diameter and the bounded-cardinality-minimum-diameter edge addition problems. Oper Res Lett 11:303–308

    Article  Google Scholar 

  • Maurits de Jonge J (2008) No break in the storm. Traffic World

  • Plesník J (1981) The complexity of designing a network with minimum diameter. Networks 11:77–85

    Article  Google Scholar 

  • Plesník J (1984) On the sum of all distances in a graph or digraph. J Graph Theory 8:1–21

    Article  Google Scholar 

  • Rosenberg E (2005) Hierarchical topological network design. IEEE/ACM Trans Netw 13:1402–1409

    Article  Google Scholar 

  • Thuermer KE (2008) Tweaking the supply chain to optimize value and minimize cost. World Trade 21(10):24

    Google Scholar 

  • United Parcel Service (2011) U.S. ground maps for calculating service time and cost. http://www.ups.com/maps?loc=en_US&WT.svl=SubNav, accessed on June 23, 2011

  • Wu BY, Chao KM, Tang CY (2002) Light graphs with small routing cost. Networks 39:130–138

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank an Editor-in-Chief and two anonymous reviewers for their useful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Barrett W. Thomas.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (pdf 817 KB)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, H., Campbell, A.M. & Thomas, B.W. Network design for time-constrained delivery using subgraphs. Comput Manag Sci 9, 531–542 (2012). https://doi.org/10.1007/s10287-012-0154-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10287-012-0154-2

Keywords

Navigation