Skip to main content

An Exact Column Generation Approach to the Capacitated Facility Location Problem

  • Conference paper
Book cover Distribution Logistics

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 544))

Abstract

The Capacitated Facility Location Problem (CFLP) is a well-known combinatorial optimization problem with applications in distribution and production planning. It consists in selecting plant sites from a finite set of potential sites and in allocating customer demands in such a way as to minimize operating and transportation costs. A variety of lower bounds based on Lagrangean relaxation and subgradient optimization has been proposed for this problem. However, in order to solve large or difficult problem instances information about a primal (fractional) solution is important. Therefore, we employ column generation in order to solve a corresponding master problem exactly. The algorithm uses different strategies for stabilizing the column generation process. Furthermore, the column generation method is employed within a branch-and-price procedure for computing optimal solutions to the CFLP. Computational results are reported for a set of larger and difficult problem instances. The results are compared with computational results obtained from a branch-and-bound procedure based on Lagrangean relaxation and subgradient optimization and a branch-and-bound method that uses the LP relaxation and polyhedral cuts

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aardal, K. (1998): Capacitated facility location: Separation algorithm and computational experience. Mathematical Programming, 81:149–175.

    Google Scholar 

  • Aardal, K. / Pochet, Y. / Wolsey, L. A. (1995): Capacitated facility location: Valid inequalities and facets. Mathematics of Operations Research, 20:552–582.

    Article  Google Scholar 

  • Beasley, J. E. (1988): An algorithm for solving large capacitated warehouse location problems. European Journal of Operational Research, 33:314–325.

    Article  Google Scholar 

  • Boffey, T. B. (1989): Location problems arising in computer networks. The Journal of the Operational Research Society, 40:347–354.

    Google Scholar 

  • Carraresi, P. / Frangioni, A. /Nonato, M. (1995): Applying bundle methods to the optimization of polyhedral functions: An applications-oriented development. Ricerca Operativ a, 25:5–49.

    Google Scholar 

  • Chardaire, P. (1999): Hierarchical two level location problems. In: Sansò, B. / Soriano, P. (eds.), Telecommunications Network Planning, chap. 3, pp. 33–54. Kluwer Academic Publishers Group, London, Dordrecht, Boston.

    Chapter  Google Scholar 

  • Chen, B. / Guignard, M. (1998): Polyhedral analysis and decompositions for capacitated plant location-type problems. Discrete Applied Mathematics, 82:79–91.

    Article  Google Scholar 

  • Christofides, N. / Beasley, J. E. (1983): Extensions to a Lagrangean relaxation approach for the capacitated warehouse location problem. European Journal of Operational Research, 12:19–28.

    Article  Google Scholar 

  • Cornuejols, G. / Sridharan, R. / Thizy, J.-M. (1991): A comparison of heuristics and relaxations for the capacitated plant location problem. European Journal of Operational Research, 50:280–297.

    Article  Google Scholar 

  • CPLEX Division, ILOG Inc. (1997): Using the CPLEX callable library.

    Google Scholar 

  • Dantzig, G. B. / Wolfe, P. (1960): Decomposition principle for linear programs. Operations Research, 8:101–111.

    Article  Google Scholar 

  • Delmaire, H. / Díaz, J. A. / Fernández, E. (1999): Reactive GRASP and tabu search based heuristics for the single source capacitated plant location problem. INFOR, Canadian Journal of Operational Research and Information Processing, 37:194–225.

    Google Scholar 

  • Domschke, W. / Drexl, A. (1985): ADD-heuristics’ starting procedures for capacitated plant location models. European Journal of Operational Research, 21:47–53.

    Article  Google Scholar 

  • du Merle, O. / Villeneuve, D. / Desrosiers, J. / Hansen, P. (1999): Stabilized column generation. Discrete Mathematics, 194:229–237.

    Article  Google Scholar 

  • Frangioni, A. / Gallo, G. (1999): A bundle type dual-ascent approach to linear multi-commodity min cost flow problems. Informs Journal on Computing, 11:370–393.

    Article  Google Scholar 

  • Geoffrion, A. M. / McBride, R. (1978): Lagrangean relaxation to capacitated facility location problems. AIIE Transactions, 10:40–47.

    Article  Google Scholar 

  • Goffin, J.-L./Haurie, A./Vial, J.-P. (1992): Decomposition and nondifferentiable optimization with the projective algorithm. Management Science, 38:284–302.

    Article  Google Scholar 

  • Goffin, J.-L. / Haurie, A. / Vial, J.-P. / Zhu, D. L. (1993): Using central prices in the decomposition of linear programs. European Journal of Operational Research, 64:593–409.

    Article  Google Scholar 

  • Gondzio, J. / Sarkissian, R. (1996): Column generation with a primal-dual method. Technical Report 1996:6, LogiLab, HEC, Section of Management Studies, University of Geneva, http://ecolu-info.unige.cn/~logilab/reports.

  • Guignard, M. / Zhu, S. (1994): A two-phase dual algorithm for solving Lagrangean duals in mixed integer programming. Report 94-10-03, Operations and Information Management Department, University of Pennsylvania, The Wharton School.

    Google Scholar 

  • Jacobsen, S. K. (1983): Heuristics for the capacitated plant location model. European Journal of Operational Research, 12:253–261.

    Article  Google Scholar 

  • Kelley, J. E. (1960): The cutting-plane method for solving convex programs. Journal of the SIAM, 8:703–712.

    Google Scholar 

  • Khumawala, B. M. (1974): An efficient heuristic procedure for the capacitated warehouse location problem. Naval Research Logistics Quarterly, 21:609–623.

    Article  Google Scholar 

  • Kochmann, G. A. / McCallum, C. J. (1981): Facility location models for planning a transatlantic communications network. European Journal of Operational Research, 6:205–211.

    Article  Google Scholar 

  • Korupolu, M. R. / Plaxton, C. G. / Rajaraman, R. (1998): Analysis of a local search heuristic for facility location problems. Technical Report 98-30, DIMACS, Rutgers University.

    Google Scholar 

  • Kuehn, A. A. / Hamburger, M. J. (1963): A heuristic program for locating warehouses. Management Science, 9:643–666.

    Article  Google Scholar 

  • Lemaréchal, C. (1989): Nondifferentiable optimization. In: Nemhauser, G. L. / Rinnooy Kan, A. H. G. / Todd, M. J. (eds.), Optimization, vol 1 of Handbooks in Operations Research and Management Science, pp. 529–572. North-Holland, Amsterdam.

    Google Scholar 

  • Leung, J. M. Y. / Magnanti, T. L. (1989): Valid inequalities and facets of the capacitated plant location problem. Mathematical Programming, 44:271–291.

    Article  Google Scholar 

  • Lin, J.-H. / Vitter, J. S. (1992): Approximation algorithms for geometric median problems. Information Processing Letters, 44:245–249.

    Article  Google Scholar 

  • Magnanti, T. L. / Wong, R. T. (1981): Accelerating Benders decomposition: Algorithmic enhancement and model selection criteria. Operations Research, 29:464–484.

    Article  Google Scholar 

  • Marsten, R. E. / Hogan, W. W. / Blankenship, J. W. (1975): The Boxstep method for large-scale optimization. Operations Research, 23:389–405.

    Article  Google Scholar 

  • Martello, S. / Pisinger, D. / Toth, P. (1999): Dynamic programming and strong bounds for the 0-1 Knapsack problem. Management Science, 45:414–424.

    Article  Google Scholar 

  • Martinson, R. K. / Tind, J. (1999): An interior point method in Dantzig-Wolfe decomposition. Computers & Operations Research, 26:1195–1216.

    Article  Google Scholar 

  • Mateus, G. R. / Bornstein, C. T. (1991): Dominance criteria for the capacitated warehouse location problem. The Journal of the Operational Research Society, 42:145–149.

    Google Scholar 

  • Mirzaian, A. (1985): Lagrangian relaxation for the star-star concentrator location problem: Approximation algorithm and bounds. Networks, 15:1–20.

    Article  Google Scholar 

  • Nauss, R. M. (1978): An improved algorithm for the capacitated facility location problem. The Journal of the Operational Research Society, 29:1195–1201.

    Google Scholar 

  • Neame, P. / Boland, N. / Ralph, D. (1998): A unifying framework for column generation stabilization methods. Working paper, Department of Mathematics, University of Melbourne, ftp://ftp.hpc.uh.edu/pub/ipco98/neame.ps.

  • Pochet, Y. / Wolsey, L. A. (1988): Lot-size models with backlogging: Strong reformulations and cutting planes. Mathematical Programming, 40:317–335.

    Article  Google Scholar 

  • Rolland, E. / Schilling, D. A. / Current, J. R. (1996): An efficient tabu search procedure for the p-median problem. European Journal of Operational Research, 96:329–342.

    Article  Google Scholar 

  • Ryu, C. / Guignard, M. (1992): An efficient algorithm for the capacitated plant location problem. Working Paper 92-11-02, Decision Sciences Department, University of Pennsylvania, The Wharton School.

    Google Scholar 

  • Shetty, B. (1990): Approximate solutions to large scale capacitated facility location problems. Applied Mathematics and Computation, 39:159–175.

    Article  Google Scholar 

  • Shmoys, D. B. / Tardos, E. / Aardal, K. (1997): Approximation algorithms for facility location problems. In: Proceedings of the 29th Annual ACM Symposiumiton Theory of Computing, pp. 265–274.

    Google Scholar 

  • Sridharan, R. (1993): A Lagrangian heuristic for the capacitated plant location problem with single source contraints. European Journal of Operational Research, 66:305–312.

    Article  Google Scholar 

  • Van Roy, T. J. (1983): Cross decomposition for mixed integer programming. Mathematical Programming, 25:46–63.

    Article  Google Scholar 

  • Van Roy, T. J. (1986): A cross decomposition algorithm for capacitated facility location. Operations Research, 34:145–163.

    Article  Google Scholar 

  • Wentges, P. (1996): Accelerating Benders’ decomposition for the capacitated facility location problem. Mathematical Methods of Operations Research, 44:267–290.

    Article  Google Scholar 

  • Wentges, P. (1997): Weighted Dantzig-Wolfe decomposition for linear mixedinteger programming. International Transactions in Operational Research, 4:151–162.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Klose, A., Görtz, S. (2005). An Exact Column Generation Approach to the Capacitated Facility Location Problem. In: Fleischmann, B., Klose, A. (eds) Distribution Logistics. Lecture Notes in Economics and Mathematical Systems, vol 544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17020-1_1

Download citation

Publish with us

Policies and ethics