Abstract
Motivated by a planned automated cargo transportation network, we consider transportation problems in which the finite capacity of resources (such as vehicles, docks, parking places) has to be taken into account. For such problems, it is often even difficult to construct a good feasible solution. We present a flexible modeling methodology which allows to construct, evaluate, and improve feasible solutions. This new modeling approach is evaluated on instances stemming from a simulation model of the planned cargo transportation system.
The authors gratefully acknowledge the constructive comments of the anonymous referees, which helped to improve the presentation of the paper a lot.
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References
Ahuja RK, Magnanti TL, Orlin JB (1993) Network flows: theory, algorithms and applications. Prentice-Hall, New Jersey
Alicke K (2002) Modeling and optimization of the intermodal terminal Mega Hub. OR Spectrum 24: 1–18
Bilge Ü, Ulusoy G (1995) A time window approach to simultaneous scheduling of machines and material handling system in an FMS. Operations Research 43: 1058–1070
Bostel N, Dejax P (1998) Models and algorithms for container allocation problems on trains in a rapid transshipment shunting yard. Transportation Science 32(4): 370–379
Brucker P, Heitmann S, Hurink JL (2003) Flow-shop problems with intermediate buffers. OR Spectrum 25: 549–574
Chao X, Pinedo M (1998) Operations scheduling with applications in manufacturing and services. McGraw Hill, New York
Cordeau J, Desaulniers G, Desrosiers J, Solomon M, Soumis F (2002) The vehicle routing problem with time windows. In: Toth P, Vigo D (eds) The vehicle routing problem. SIAM monographs on discrete mathematics and applications, vol. 9, pp 157–193. Philadelphia, PA
Crama Y, Kats V, Van de Klundert J, Levner E (2000) Cyclic scheduling in robotic flowshops. Annals of Operations Research 96: 97–124
Ebben MJR (2001) Logistics control of automated transportation networks. PhD thesis, University of Twente, Twente University Press, Enschede, The Netherlands
Ebben MJR, van der Heijden MC, van Harten A (2002) Dynamic resource-constrained vehicle scheduling. Working paper, University of Twente, Faculty of Technology and Management, The Netherlands
Van der Heijden MC, Ebben MJR, Gademann N, van Harten A (2002) Scheduling vehicles in transportation networks. OR Spectrum 24(1): 31–58
Van der Heijden MC, van Harten A, Ebben MJR, Saanen YS, Valentin E, Verbraeck A (2002) Using simulation to design an automated underground system for transporting freight around Schiphol Airport. Interfaces 32(4): 1–19
Hurink J, Knust S (2001) Tabu search algorithms for job-shop problems with a single transport robot. Memorandum No. 1579, University of Twente, Faculty of Mathematical Sciences, The Netherlands. EJOR (to appear)
Kozan E (2000) Optimising container transfers at multimodal terminals. Mathematical and Computer Modelling 21: 235–243
Kozan E, Preston P (1999) Genetic algorithms to schedule container transfers at multimodal terminals. International Transactions in Operational Research 6, 311–329
Meersmans P (2002) Optimization of container handling systems. PhD thesis, Erasmus University Rotterdam, The Netherlands
Nowicki E (1999) The permutation flow shop with buffers: a tabu search approach. European Journal of Operational Research 116: 205–219
Ralphs TK, Kopman L, Pulleyblank WR, Trotter Jr LE (2003) On the capacitated vehicle routing problem. Mathematical Programming 94: 343–359
Vaessens RJM, Aarts EHL, Lenstra JK (1996) Job shop scheduling by local search. INFORMS Journal on Computing 8: 302–317
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© 2005 Springer-Verlag Berlin Heidelberg
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Ebben, M., van der Heijden, M., Hurink, J., Schutten, M. (2005). Modeling of capacitated transportation systems for integral scheduling. In: Günther, HO., Kim, K.H. (eds) Container Terminals and Automated Transport Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26686-0_12
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DOI: https://doi.org/10.1007/3-540-26686-0_12
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