Location-Routing Problems with Distance Constraints

Published Online:https://doi.org/10.1287/trsc.1060.0156

References

  • Ahuja R., Magnanti T. L., Orlin J. B.Network Flows: Theory, Algorithms and Applications (1993) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Barnhart C., Johnson E. L., Nemhauser G. L., Savelsbergh M. W. P., Vance P. H. Branch and price: Column generation for solving huge integer programs. Oper. Res. (1998) 46:316–329LinkGoogle Scholar
  • Berger R. T. Location-routing models for distribution system design. (1997) . Ph.D. thesis, Northwestern University, Evanston, ILCrossrefGoogle Scholar
  • Burlett L. Regional operating expenses: A case study. Southern Business Development (2002) . http://www.sb-d.com/issues/winter2002/features/save.aspGoogle Scholar
  • Carpaneto G., Toth P. Some new branching and bounding criteria for the asymmetric traveling salesman problem. Management Sci. (1980) 26:736–743LinkGoogle Scholar
  • Christofides N., Eilon S. Expected distances in distribution problems. Oper. Res. Quart. (1969) 20:437–443CrossrefGoogle Scholar
  • Cornuejols G., Nemhauser G. L., Wolsey L. A., Mirchandani P., Francis R. L. The uncapacitated facility location problem. Discrete Location Theory (1990) (Wiley, New York) 119–171Google Scholar
  • Desrochers M., Soumis F. A column generation approach to the urban transit crew scheduling problem. Transportation Sci. (1989) 23:1–13LinkGoogle Scholar
  • Desrochers M., Desrosiers J., Solomon M. A new optimization algorithm for the vehicle routing problem with time windows. Oper. Res. (1992) 40:342–354LinkGoogle Scholar
  • Desrosiers J., Soumis F., Desrochers M. Routing with time windows by column generation. Networks (1984) 14:545–565CrossrefGoogle Scholar
  • Dumas Y., Desrosiers J., Soumis F. The pickup and delivery problem with time windows. Eur. J. Oper. Res. (1991) 54:7–22CrossrefGoogle Scholar
  • Feillet D., Dejax P., Gendreau M., Gueguen C. An exact algorithm for the elementary shortest path problem with resource constraints: Application to some vehicle routing problems. Networks (2004) 44:216–229CrossrefGoogle Scholar
  • Gelinas S., Desrochers M., Desrosiers J., Solomon M. M. A new branching strategy for time constrained routing problems with application to backhauling. Ann. Oper. Res. (1995) 61:91–109CrossrefGoogle Scholar
  • Gorr W. P., Johnson M. P., Roehrig S. Facility location model for home-delivered services: Application to the Meals on Wheels program. J. Geographic Systems (2001) 3:181–197CrossrefGoogle Scholar
  • Hoffman K. L., Padberg M. Solving airline crew scheduling problems by branch-and-cut. Management Sci. (1993) 39:657–682LinkGoogle Scholar
  • Irnich S., Villeneuve D. The shortest path problem with resource constraints and k-cycle elimination for k ≥ 3. INFORMS J. Comput. (2006) . ForthcomingGoogle Scholar
  • Kohl N., Desrosiers J., Madsen O. B. G., Solomon M. M. 2-path cuts for the vehicle routing problem with time windows. Transportation Sci. (1999) 33:101–116LinkGoogle Scholar
  • Laporte G. Generalized subtour elimination constraints and connectivity constraints. J. Oper. Res. Soc. (1986) 37:509–514Google Scholar
  • Laporte G., Golden B. L., Assad A. A. Location-routing problems. Vehicle Routing: Methods and Studies (1988) (North Holland, Amsterdam, The Netherlands) 163–198Google Scholar
  • Laporte G., Nobert Y. An exact algorithm for minimizing routing and operating costs in depot location. Eur. J. Oper. Res. (1981) 6:224–226CrossrefGoogle Scholar
  • Laporte G., Nobert Y., Arpin D. An exact algorithm for solving a capacitated location-routing problem. Ann. Oper. Res. (1986) 6:293–310CrossrefGoogle Scholar
  • Laporte G., Nobert Y., Pelletier P. Hamiltonian location problems. Eur. J. Oper. Res. (1983) 12:82–89CrossrefGoogle Scholar
  • Laporte G., Nobert Y., Taillefer S. Solving a family of multi-depot vehicle routing and location-routing problems. Transportation Sci. (1988) 22:161–172LinkGoogle Scholar
  • Miliotis P. Integer programming approaches to the travelling salesman problem. Math. Programming (1976) 10:367–378CrossrefGoogle Scholar
  • Miliotis P. Using cutting planes to solve the symmetric travelling salesman problem. Math. Programming (1978) 15:177–188CrossrefGoogle Scholar
  • Min H., Jayaraman V., Srivastava R. Combined location-routing problems: A synthesis and future research directions. Eur. J. Oper. Res. (1998) 108:1–15CrossrefGoogle Scholar
  • Paltrow S. J. Selling strategies—Profiting from impatience. Wall Street J. (2003) . http://www.ensenda.com/about/gfx/pr_25.pdfGoogle Scholar
  • Ryan D. M., Foster B. A., Wren A. An integer programming approach to scheduling. Computer Scheduling of Public Transport Urban Passenger Vehicle and Crew Scheduling (1981) (North Holland, Amsterdam, The Netherlands) 269–280Google Scholar
  • Savelsbergh M. A branch and price algorithm for the generalized assignment problem. Oper. Res. (1997) 45:831–841LinkGoogle Scholar
  • Savelsbergh M. W. P., Nemhauser G. L. Functional description of MINTO, a Mixed INTeger Optimizer. (1996) . Technical report, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
  • Savelsbergh M., Sol M. Drive: Dynamic routing of independent vehicles. Oper. Res. (1998) 46:474–490LinkGoogle Scholar
  • Solomon M. M. Algorithm for the vehicle routing and scheduling problem with time window constraints. Oper. Res. (1987) 35:254–265LinkGoogle Scholar
  • Srivastava R., Benton W. C. The location-routing problem: Considerations in physical distribution system design. Comput. Oper. Res. (1990) 17:427–435CrossrefGoogle Scholar
  • Vance P. H. Crew scheduling, cutting stock and column generation: Solving huge integer programs. (1993) . Ph.D. thesis, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
  • Webb M. H. J. Cost functions in the location of depots for multiple-delivery journeys. Oper. Res. Quart. (1968) 19:311–320CrossrefGoogle Scholar
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