Abstract
A facility has to be located in a given area to serve a given number of customers. The position of the customers is not known. The service to the customers is carried out by several traveling salesmen. Each of them has a capacity in terms of the maximum number of customers that can be served in any tour. The aim was to determine the service zone (in a shape of a circle) that minimizes the expected cost of the traveled routes. The center of the circle is the location of the facility. Once the position of the customers is revealed, the customers located outside the service zone are served with a recourse action at a greater unit cost. For this problem, we compare the performance of two different solution approaches. The first is based on a heuristic proposed for the Capacitated Traveling Salesman Problem and the second on the optimal solution of a stochastic second-order cone formulation with an approximate objective function.
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Klose, A., Drexl, A.: Facility location models for distribution system design. Eur. J. Oper. Res. 162, 4–29 (2005)
ReVelle, C.S., Eiselt, H.A.: Location analysis: a synthesis and survey. Eur. J. Oper. Res. 165, 1–19 (2005)
Melo, M.T., Nickel, S., Saldanha-da-Gama, F.: Facility location and supply chain management—a review. Eur. J. Oper. Res. 196, 401–412 (2009)
Snyder, L.V.: Facility location under uncertainty: a review. IIE Trans. 38, 537–554 (2006)
Nagy, G., Salhi, S.: Location-routing: issues, models and methods. Eur. J. Oper. Res. 177, 649–672 (2007)
Laporte, G.: Fifty years of vehicle routing. Transp. Sci. 43, 408–416 (2009)
Burness, R.C., White, J.A.: The traveling salesman location problem. Transp. Sci. 10(4), 348–360 (1976)
Berman, O., Simchi-Levi, D.: Minisum location of a traveling salesman. Networks 16, 239–254 (1986)
Simchi-Levi, D., Berman, O.: Heuristics and bounds for the travelling salesman location problem on the plane. Oper. Res. Lett. 6, 243–248 (1987)
Simchi-Levi, D., Berman, O.: A heuristic algorithm for the traveling saleman location problem on networks. Oper. Res. 36(3), 478–484 (1998)
McDiarmid, C.: Probability modelling and optimal location of a travelling salesman. J. Oper. Res. Soc. 43(5), 533–538 (1992)
Simchi-Levi, D.: The capacitated traveling salesmen location problem. Transp. Sci. 25(1), 9–18 (1991)
Bertsimas, D.J.: Traveling salesman facility location problems. Transp. Sci. 23(3), 184–191 (1989)
Klibi, W., Lasalle, F., Martel, A., Ichoua, S.: The stochastic multi-period location-transportation problem. Transp. Sci. 44, 221–237 (2010)
Santoso, T., Ahmed, S., Goetschalckx, M., Shapiro, A.: A stochastic programming approach for supply chain network design under uncertainty. Eur. J. Oper. Res. 167, 96–115 (2005)
Lei, H., Laporte, G., Guo, B.: Districting for routing with stochastic customers. EURO J. Transp. Logist. 1, 67–85 (2012)
Beardwood, J., Halton, J.H., Hammersley, J.M.: The shortest path through many points. Math. Proc. Camb. Philos. Soc. 55(4), 299–327 (1959). Cambridge University Press
Daganzo, C.F.: The distance traveled to visit \(n\)-points with a maximum of c-stops per vehicle—an analytic model and an application. Transp. Sci. 18, 331–350 (1984)
Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, New York (1997)
Kall, P., Wallace, S.W.: Stochastic Programming. Wiley, Chichester (1994)
Shapiro, A.: Stochastic programming approach to optimization under uncertainty. Math. Program. Ser. B 112(1), 183–220 (2008)
Ariyawansa, K.A., Zhu, Y.: Stochastic semidefinite programming a new paradigm for stochastic optimization. 4OR 4(3), 239–253 (2006)
Pataki, G. (ed.): Computational Semidefinite and Second Order Cone Programming: The State of the Art. Springer, Heidelberg (2003)
Vandenberghe, L., Boyd, S.: Semidefinite programming. SIAM Rev. 38, 49–95 (2004)
Zhu, Y., Zhang, J., Partel, K.: Location-aided routing with uncertainty in mobile ad hoc networks: a stochastic semidefinite programming approach. Math. Comput. Model. 52, 2192–2203 (2011)
Alizadeh, F., Goldfarb, D.: Second-order cone programming. Math. Program. Ser. B 95, 3–51 (2003)
Maggioni, F., Potra, F., Bertocchi, M., Allevi, E.: Stochastic second-order cone programming in mobile ad hoc networks. J. Optim. Theory Appl. 143, 309–328 (2009)
Sun, P., Freund, R.M.: Computation of minimum-costcovering elliposoids. Oper. Res. 52(5), 690–706 (2004)
Maggioni, F., Wallace, S.W., Bertocchi, M., Allevi, E.: Sensitivity analysis in stochastic second-order cone programming for mobile ad hoc networks. Procedia Soc. Behav. Sci. 2, 7704–7705 (2010)
Kaut, M., Wallace, S.W.: Evaluation of scenario generation methods for stochastic programming. Pac. J. Optim. 3(2), 257–271 (2007)
Bertazzi, L., Maggioni, F.: The stochastic capacitated traveling salesmen location problem: a computational comparison for a United States instance. Procedia Soc. Behav. Sci. 108, 47–56 (2014)
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The authors wish to thank the Referees and Guest Editors (Manlio Gaudioso, Raffaele Cerulli and Francesco Carrabs) for useful suggestions that allowed us to improve the paper.
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Bertazzi, L., Maggioni, F. Solution Approaches for the Stochastic Capacitated Traveling Salesmen Location Problem with Recourse. J Optim Theory Appl 166, 321–342 (2015). https://doi.org/10.1007/s10957-014-0638-z
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DOI: https://doi.org/10.1007/s10957-014-0638-z