Skip to main content

Algorithms and extended formulations for one and two facility network design

  • Conference paper
  • First Online:
Integer Programming and Combinatorial Optimization (IPCO 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1084))

  • 181 Accesses

Abstract

We consider the problem of sending flow from a source to a destination, where there are flow costs on each arc and fixed costs toward the purchase of capacity. Capacity can be purchased in batches of C units on each arc. We show the problem to be NP-hard in general. If d is the quantity to be shipped from the source to the destination, we give an algorithm that solves the problem in time polynomial in the size of the graph but exponential in \(\left\lfloor {\tfrac{d}{C}} \right\rfloor\). Thus for bounded values of \(\left\lfloor {\tfrac{d}{C}} \right\rfloor\)the problem can be solved in polynomial time. This is useful since a simple heuristic gives a very good approximation of the optimal solution for large values of \(\left\lfloor {\tfrac{d}{C}} \right\rfloor\). We also show a similar result to hold for the case when there are no flow costs but capacity can be purchased either in batches of 1 unit or C units. The results characterizing optimal solutions are used to obtain extended formulations in each of the two cases. The LP-relaxations of the extended formulations are shown to be stronger than the natural formulations considered by earlier authors, even with a family of strong valid inequalities added.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

  1. J. A. Bondy and U. S. R. Murty, Graph Theory with Applications, North Holland, Amsterdam (1976).

    Google Scholar 

  2. S. Chopra, D. Bienstock, O. Günlük, C.Y. Tsai,“Minimum cost capacity installation for multicommodity network flows,” Research Report, Northwestern University, January 1995.

    Google Scholar 

  3. M.R. Garey and D.S. Johnson, Computers and Intractability: A guide to the Theory of NP-Completeness, W.H. Freeman and Company, New York (1979). 4. J.M.Y. Leung, T.L. Magnanti and R. Vachani, “Facets and algorithms for capacitated lot sizing,” Mathematical Programming, 45, 331–359.

    Google Scholar 

  4. T.L. Magnanti and P. Mirchandani, “Shortest paths, single origin-destination network design and associated polyhedra,” Networks, Vol. 23, No. 2 (1993) 103–121.

    Google Scholar 

  5. T.L. Magnanti, P. Mirchandani, and R. Vachani, “Modeling and solving the two facility capacitated network loading problem,” Operations Research, Vol. 43, No. 1 (1995) 142–157.

    Google Scholar 

  6. Y. Pochet and L.A. Wolsey, “Lot sizing with constant batches: Formulation and valid inequalities,” Mathematics of Operations Research, 18 (1993) 767–785.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

William H. Cunningham S. Thomas McCormick Maurice Queyranne

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chopra, S., Gilboa, I., Sastry, S.T. (1996). Algorithms and extended formulations for one and two facility network design. In: Cunningham, W.H., McCormick, S.T., Queyranne, M. (eds) Integer Programming and Combinatorial Optimization. IPCO 1996. Lecture Notes in Computer Science, vol 1084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61310-2_4

Download citation

  • DOI: https://doi.org/10.1007/3-540-61310-2_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61310-7

  • Online ISBN: 978-3-540-68453-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics