Abstract
In recent years, sea and air transport has become a big trend. Getting an optimal solution with minimum costs (freight cost, warehouse cost) under certain constraints (delivery due date etc.) must be sought. Formerly, we made a mathematical formulation of the fundamental case (a single supply site and a single demand site with multiple delivery dates/different delivery quantities) and next we expanded the objective function from considering transportation costs to considering transportation costs and warehouse stock fees. Under certain constraints, a minimum cost was pursued. In this paper, the objective function is expanded to the scheme which considers a reduced cost for the volume of lots. Here, a reduced cost by the discount of volume is also taken into account when multiple lots are transported using the same type of transport. A new selection method, “Multi-step tournament selection method” which is suitable for this problem is devised and utilized in this paper. Numerical examples are examined for the cases in which the discount of volume is considered. Theoretical optimal solution is derived by using genetic algorithm. An application of genetic algorithm to International Logistics is executed before by us. In this paper, the further expansion of constraints is executed and fruitful result is obtained, which contributes to the real management of International Logistics for the better decision making.
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References
Arai, M., & Masui, Y. (2006). Optimization of maritime container-transportation network through the use of genetic algorithm. Japan Ship-Marine Engineering Society, 4, 55–61.
Chien, C., Kim, K. H., Liu, B., & Gen, M. (2013). Advanced decision and intelligence technologies for manufacturing and logistics. Journal of Intelligent Manufacturing, 23(6), 2133–2135.
Gen, M., & Cheng, R. (2000). Genetic algorithms and engineering optimization. New York: Wiley.
Gen, M., Altiparamk, F., & Lin, L. (2006). A genetic algorithm for two-stage transportation problem using priority-based encoding. OR Spectrum, 28(3), 337–354.
Kocaoğlu, B., Gülsün, B., & Tanyaş, M. (2013). A SCOR based approach for measuring a benchmarkable supply chain performance. Journal of Intelligent Manufacturing, 24(1), 113–132.
Kozan, E., & Preston, P. (1999). Genetic algorithms to schedule container transfers at multimodal terminals. International Transactions in Operational Research, 6, 311–329.
Lee, L. H., Lee, C. U., & Tan, Y. P. (2007). A multi-objective genetic algorithm for robust flight scheduling using simulation. European Journal of Operational Research, 177, 1948–1968.
Okamoto, A., Gen, M., & Sugawara, M. (2006). Integrated data structure and scheduling approach for manufacturing and transportation using hybrid genetic algorithm. Journal of Intelligent Manufacturing, 17(4), 411–422.
Okita, K., Ishii, Y., & Takeyasu, K. (2004). Optimization in inter-modal international logistics. In The 5th Asia-Pacific industrial engineering and management systems conference (APIEMS). Gold Coast, Australia.
Sakawa, M., & Tanaka, M. (1995). Genetic algorithm. Tokyo: Asakura Pulishing Co., Ltd.
Seifbarghy, M., & Esfandiari, N. (2013). Modeling and solving a multi-objective supplier quota allocation problem considering transaction costs. Journal of Intelligent Manufacturing, 24(1), 201–209.
Takeyasu, K., & Ogura, E. (2006). Optimization of international inter-modal logistics utilizing genetic algorithm. In The proceedings of Asia-Pacific industrial engineering and management systems. Bangkok, Thailand.
Takeyasu, K., & Kainosho, M. (2007a). Optimization in sea and air transport utilizing genetic algorithm. International Journal of Computational Science, 1(3), 286–301.
Takeyasu, K., Kainosho, M. (2007b). Optimization in sea and air transport utilizing genetic algorithm. In The 8th Asia-Pacific industrial engineering and management systems conference(APIEMS) and 2007 Chinese Institute of Industrial Engineers Conference(CIIE). Kaohsiung, Taiwan.
Toyama, H., Ida, K., & Teramatsu, C. (2006). A proposal of a genetic algorithm for fixed-charge transportation problem and related numerical experiments. Journal of the Indonesian Medical Association, 57(3), 227–230.
Versteegh, F., Salido, M. A., & Giret, A. (2010). A holonic architecture for the global road transportation system. Journal of Intelligent Manufacturing, 21(1), 133–144.
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Takeyasu, K., Kainosho, M. Optimization technique by genetic algorithms for international logistics. J Intell Manuf 25, 1043–1049 (2014). https://doi.org/10.1007/s10845-013-0823-1
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DOI: https://doi.org/10.1007/s10845-013-0823-1