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Integrated scheduling of handling equipment at automated container terminals. (English) Zbl 1152.90452

Summary: To improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. A heuristic algorithm, called multi-layer genetic algorithm (MLGA) is developed with a view to overcome the computation difficulty for solving the mathematical model. A numerical experimentation is carried out in order to evaluate the performance of the algorithm.

MSC:

90B35 Deterministic scheduling theory in operations research
90C11 Mixed integer programming
90C59 Approximation methods and heuristics in mathematical programming
Full Text: DOI

References:

[1] Abdelmaguid, T. F., Nassef, A. O., Kamlk, B. A., & Hassan, M. F. (2004). A hybrid GA/heuristic approach to the simultaneous scheduling of machines and automated guided vehicles. International Journal of Production Research, 42(2), 267–281. · Zbl 1052.90548 · doi:10.1080/0020754032000123579
[2] Ascheuer, N., Grötschel, M., & Abdel-Aziz Abdel-Hamid, A. (1999). Order picking in an automatic warehouse: Solving online asymmetric TSPS. Mathematical Methods of Operations Research, 49, 501–515. · Zbl 1009.90037 · doi:10.1007/s001860050064
[3] Bilge, U., & Ulusoy, G. (1999). A time window approach to simultaneous scheduling of machines and material handling system in an fms. Operations Research, 43, 1058–1070. · Zbl 0852.90083 · doi:10.1287/opre.43.6.1058
[4] Chen, Y., Leong, T.-Y., Ng, J. W. C., Demir, E. K., Nelson, B. L., & Simchi-Levi, D. (1998). Dispatching automated guided vehicles in a mega container terminal. In INFORMS Montreal. · Zbl 1091.90008
[5] Daganzo, C. F. (1989). The crane scheduling problem. Transportation Research Part B, 23(3), 159–175. · doi:10.1016/0191-2615(89)90001-5
[6] Kim, K. H., & Bae, J. W. (1999). A dispatching method for automated guided vehicles to minimize delays of containership operations. International Journal of Management Science, 5(1), 1–25.
[7] Kim, K. H., & Bae, J. W. (2004). A look-ahead dispatching method for automated guided vehicles in automated port container terminal. Transportation science, 38(2), 224–234. · doi:10.1287/trsc.1030.0082
[8] Kim, J. U., & Kim, Y. D. (1996). Simulated annealing and genetic algorithms for scheduling products with multi-level product structure. Computers and Operations Research, 23, 857–868. · Zbl 0859.90087 · doi:10.1016/0305-0548(95)00079-8
[9] Kim, K. H., & Kim, K. Y. (1999a). An optimal routing algorithm for a transfer crane in port container terminals. Transportation Science, 36, 109–136. · Zbl 1002.90508
[10] Kim, K. H., & Kim, K. Y. (1999b). Routing straddle carriers for the loading operation of containers using a beam search algorithm. Computers and Industrial Engineering, 36, 109–136. · doi:10.1016/S0360-8352(99)00005-4
[11] Kim, K. H., & Park, Y.-M. (2004). A crane scheduling method for port container terminals. European Journal of Operational Research, 156(3), 752–768. · Zbl 1062.90027 · doi:10.1016/S0377-2217(03)00133-4
[12] Kim, K. H., Won, S. H., Lim, J. K., & Takahashi, T. (2004). An architectural design of control software for automated container terminals. Computers and Industrial Engineering, 46, 741–754. · doi:10.1016/j.cie.2004.05.007
[13] Kozan, E., & Preston, P. (1999). Genetic algorithms to schedule container transfers at multimodal terminals. International Transactions in Operational Research, 6, 311–329. · doi:10.1111/j.1475-3995.1999.tb00158.x
[14] Meersmans, P. J. M., & Wagelmans, A. P. M. (2001a). Effective algorithms for integrated scheduling of handling equipment at automated container terminals (Econometric Institute Report 226). Erasmus University, Rotterdam, The Netherlands.
[15] Meersmans, P.J. M., & Wagelmans, A. P. M. (2001b). Dynamic scheduling of handling equipment at automated container terminals (Econometric Institute Report EI 2001-33). Erasmus University, Rotterdam, The Netherlands.
[16] Nishimura, E., Imai, A., & Papadimitriou, S. (2001). Berth allocation planning in the public berth system by genetic algorithms. European Journal of Operational Research, 131, 282–292. · Zbl 0991.90074 · doi:10.1016/S0377-2217(00)00128-4
[17] Nishimura, E., Imai, A., & Papadimitriou, S. (2005). Yard trailer routing at a maritime container terminal. Transportation Research Part E, 41(1), 53–76. · doi:10.1016/j.tre.2003.12.002
[18] Peterkofsky, R. I., & Daganzo, C. F. (1990). A branch and bound solution method for the crane scheduling problem. Transportation Research Part B, 24(3), 159–172. · doi:10.1016/0191-2615(90)90014-P
[19] Smith, J. S., Peters, B. A., & Srinivasan, A. (1999). Job shop scheduling considering material handling. International Journal of Production Research, 37, 1541–1560. · Zbl 0948.90509 · doi:10.1080/002075499191120
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