Skip to main content
Log in

A multi-stage facility location problem with staircase costs and splitting of commodities: model, heuristic approach and application

  • Regular Article
  • Published:
OR Spectrum Aims and scope Submit manuscript

Abstract

In this paper a multi-stage facility location problem with staircase costs and splitting of commodities is introduced and formulated as a mixed integer program. The problem is motivated by an application in the context of a reverse supply chain for end-of-life vehicles. We propose a two-phase heuristic solution approach: The greedy construction heuristic utilizes the solution obtained by the LP-relaxation of the problem. In the improvement heuristic we combine ADD, DROP and SWAP neighborhoods with a diversification strategy to a Variable Neighborhood Descent (VND) and to a Variable Neighborhood Search (VNS) approach. Computational results show that this approach is able reduce the duality gap provided by state-of-the-art MIP solver CPLEX for small and medium-sized instances and is also able to provide high-quality solutions for large-scale instances with up to 2,900 candidate facilities. The building blocks of the solution approach can easily be rearranged in order to solve other facility location problems.

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.

Similar content being viewed by others

References

  • Aardal K, Labbé M, Leung J and Queyranne M (1996). On the two-level uncapacitated facility location problem. INFORMS J Comput 8: 289–301

    Google Scholar 

  • Aikens CH (1985). Facility location models for distribution planning. Eur J Oper Res 22: 263–279

    Article  Google Scholar 

  • Avanthay C, Hertz A and Zufferey N (2003). A variable neighborhood search for graph coloring. Eur J Oper Res 151: 379–388

    Article  Google Scholar 

  • Balinski M (1965). Integer programming: methods, uses, computation. Manage Sci 12: 254–313

    Google Scholar 

  • Brandreau ML and Chiu SS (1989). An overview of representative problems in location research. Manage Sci 35(6): 645–674

    Google Scholar 

  • Croxton KL, Gendron B and Magnanti TL (2003). A comparison of mixed-integer programming models for nonconvex piecewise linear cost minimization problems. Manage Sci 49(9): 1268–1273

    Article  Google Scholar 

  • Daskin MS (1995). Network and discrete location—models, algorithms and applications. Wiley, New York

    Google Scholar 

  • Domschke W and Drexl A (1985). Add-heuristics’ starting procedures for capacitated plant location models. Eur J Oper Res 21: 47–53

    Article  Google Scholar 

  • Domschke W and Drexl A (1996). Logistik: standorte. Oldenbourg, München

    Google Scholar 

  • Drezner Z and Hamacher HW (2002). Facility location: application and theory. Springer, Berlin

    Google Scholar 

  • Drezner Z and Hamacher HW (1995). Facility location: a survey of applications and methods. Springer, Berlin

    Google Scholar 

  • Erlenkotter D (1978). A dual-based procedure for uncapacitated facility location. Oper Res 26: 992–1009

    Google Scholar 

  • Feldman E, Lehrer FA and Ray TL (1966). Warehouse location under continuous economies of scale. Manag Sci 12(9): 670–684

    Google Scholar 

  • Hansen P and Mladenovic N (1997). Variable neighborhood search for the p-median. Location Sci 5(4): 207–226

    Article  Google Scholar 

  • Hansen P and Mladenovic N (2001). Variable neighborhood search: Principles and applications. Eur J Oper Res 130(1): 449–467

    Article  Google Scholar 

  • Hansen P, Mladenovic N (2003) Variable neighborhood search. In: Glover F, Kochenberger G (eds) Handbook of metaheuristics. Kluwer, Dordrecht, pp 145–184

  • Hansen P, Mladenovic N and Urosevic D (2004). Variable neighborhood search for the maximum clique. Discrete Appl. Math. 145: 117–125

    Article  Google Scholar 

  • Holmberg K (1994). Solving the staircase cost facility location problem with decomposition and piecewise linearization. Eur J Oper Res 75: 41–61

    Article  Google Scholar 

  • Holmberg K and Ling J (1997). A lagrangian heuristic for the facility location problem with staircase costs. Eur J Oper Res 97: 63–74

    Article  Google Scholar 

  • Jacobsen SK (1983). Heuristics for the capacitated plant location model. Eur J Oper Res 12: 253–261

    Article  Google Scholar 

  • Kaufman L, vanden Eede M and Hansen P (1977). A plant and warehouse location problem. Oper Res Q 28(3): 547–554

    Google Scholar 

  • Khumawala BM (1972). An efficient branch and bound algorithm for the warehouse location problem. Manage Sci 18: B718–B731

    Google Scholar 

  • Khumawala BM (1973). An efficient heuristic procedure for the uncapacitated warehouse location problem. Naval Res Logis Q 20: 109–121

    Article  Google Scholar 

  • Khumawala BM (1974). An efficient heuristic procedure for the capacitated warehouse location problem. Naval Res Logis Q 21: 609–623

    Article  Google Scholar 

  • Klose A and Drexl A (2004). Facility location models for distribution system design. Eur J Oper Res 162: 4–29

    Article  Google Scholar 

  • Kuehn AA and Hamburger MJ (1963). A heuristic program for locating warehouses. Manag Sci 9(4): 643–666

    Google Scholar 

  • Melo MT, Nickel S and Saldanha da Gama F (2003). Large-scale models for dynamic multi-commodity capacitated facility location. Berichte des Fraunhofer ITWM 58: 1–40

    Google Scholar 

  • Mladenovic N and Hansen P (1997). Variable neighborhood search. Comput Oper Res 24(11): 1097–1100

    Article  Google Scholar 

  • Owen SH and Daskin MS (1998). Strategic facility location: a review. Eur J Oper Res 111: 423–447

    Article  Google Scholar 

  • Revelle CS and Laporte G (1996). The plant location problem: new models and research prospects. Oper Res 44: 864–874

    Article  Google Scholar 

  • Ribeiro CC and Souza MC (2002). Variable neighborhood search for the degree-constrained minimum spanning tree problem. Discrete Appl Math 118: 43–54

    Article  Google Scholar 

  • Schleiffer R, Wollenweber J, Sebastian H-J, Golm F, Kapoustina N (2004) Application of genetic algorithms for the design of large-scale reverse logistic networks in europe’s automotive industry. Proceeding of the 37th Hawaii International Conference on System Sciences, pp 1–10

  • Shmoys DB, Tardos É, Aardal K (1997) Approximation algorithms for facility location problems. In: Proceeding of the 8th ACM-SIAM Symposium on Discrete Algorithms, pp 619–628

  • Tcha D and Lee B (1984). A branch-and-bound algorithm for the multi-level uncapacitated facility location problem. Eur J Oper Res 18: 35–43

    Article  Google Scholar 

  • Erlenkotter D and Roy T (1982). A dual based procedure for dynamic facility location. Manag Sci 28: 1091–1105

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jens Wollenweber.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wollenweber, J. A multi-stage facility location problem with staircase costs and splitting of commodities: model, heuristic approach and application. OR Spectrum 30, 655–673 (2008). https://doi.org/10.1007/s00291-007-0114-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00291-007-0114-3

Keywords

Navigation