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Differential Evolution Algorithm for Storage Location Assignment Problem

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Industrial Engineering, Management Science and Applications 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 349))

Abstract

This study addresses warehouse storage location assignment problems (SLAP) where the traveling distance in an order-picking process is considered with three-axis traveling distance; two-horizontal and one-vertical distance. A mathematical model of the problem is first presented, then LINGO is used to find optimal solutions for a set of generated problems. However, as the problem size increases, computing time increases rapidly, and eventually the solution could not be found when the problem size is very large. Thus, this study presents an application of Differential Evolution (DE) algorithm to solve SLAP. The performance of proposed DE is evaluated on a set of generated problems, and the experimental results shows that the algorithm is able to provide good solutions especially for the large-size problems with relatively shorter computing time.

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References

  1. Van Den Berg, J., Zijm, W.: Models for warehouse management: Classification and examples. Int. J. Prod. Econ. 59(1), 519–528 (1999)

    Article  Google Scholar 

  2. Brynzer, H., Johansson, M.I.: Storage location assignment: using the product structure to reduce order picking times. Int. J. Oper. Res. 47, 595–603 (1996)

    Google Scholar 

  3. Heragu, S.S., Du, L., Mantel, R.J., Schuur, P.C.: Mathematical model for warehouse design and product allocation. Int. J. Pro. Res. 43(2), 327–338 (2005)

    Article  MATH  Google Scholar 

  4. Chen, Y., He, F.: Research on particle swarm optimization in location assignment optimization. In: Proceedings of the 7th World Congress on Intelligent Control and Automation (2008)

    Google Scholar 

  5. Muppani, V.R., Adil, G.: Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach. Int. J. Manag. Sci. 36, 609–618 (2008)

    Google Scholar 

  6. Muppani, V.R., Adil, G.K.: A branch and bound algorithm for class-based storage-location assignment. Eur. J. Oper. Res. 189, 492–507 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hsu, C.M., Chen, K.Y., Chen, M.Y.: Batching orders in warehouse by minimizing travel distance with genetic algorithms. Comput. Ind. 56, 169–178 (2005)

    Article  Google Scholar 

  8. Roodbergen, K.J., De Koster, R.: Routing methods for warehouses with multiple cross aisle. Int. J. Prod. Res. 39(9), 1865–1883 (2001)

    Article  MATH  Google Scholar 

  9. Kasemset, C., Meesuk, P.: Storage location assignment considering three-axis traveling distance: A mathematical model. In: Golinska, P. (ed.) Logistics Operations, Supply Chain Management and Sustainability, EcoProduction, pp. 499–506. Springer, Heidelberg (2014)

    Google Scholar 

  10. Storn, R., Price, K.: Differential evolution – a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95-012, International Computer Science, Berkeley, CA (1995)

    Google Scholar 

  11. Bierwirth, C.: A generalized permutation approach to job shop scheduling with genetic algorithms. In: Pesch, E., Vo, S. (eds.) OR-Spektrum. Special issue: Applied Local Search, vol. 17(213), pp. 87–92 (1995)

    Google Scholar 

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Correspondence to Warisa Wisittipanich .

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Wisittipanich, W., Meesuk, P. (2015). Differential Evolution Algorithm for Storage Location Assignment Problem. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_29

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  • DOI: https://doi.org/10.1007/978-3-662-47200-2_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47199-9

  • Online ISBN: 978-3-662-47200-2

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