Skip to main content

Evaluating Order Picking Efficiency Under Demand Fluctuations

  • Conference paper
  • First Online:
  • 986 Accesses

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

Storage location assignment is a dynamic problem due to product life cycles and time-varying demand patterns. We demonstrate the impact of demand fluctuations on order picking times for frequency-based and genetic-algorithm-based storage assignment policies. Our results provide the base for developing re-warehousing strategies to maintain order picking efficiency over time.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Bassan, Y., Roll, Y., Rosenblatt, M.J.: Internal layout design of a warehouse. AIIE Trans. 12(4), 317–322 (1980)

    Article  Google Scholar 

  2. Brynzér, H., Johansson, M.I.: Storage location assignment: using the product structure to reduce order picking times. Int. J. Prod. Econ. 46, 595–603 (1996)

    Article  Google Scholar 

  3. Coyle, J.J., Bardi, E.J., Langley, C.J.: The Management of Business Logistics, vol. 6. West Publishing Company, St. Paul (1996)

    Google Scholar 

  4. De Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: a literature review. Eur. J. Oper. Res. 182(2), 481–501 (2007)

    Article  Google Scholar 

  5. Fortin, F.-A., Rainville, F.-M.D., Gardner, M.-A., Parizeau, M., Gagné, C.: DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13, 2171–2175 (2012)

    Google Scholar 

  6. Gademann, N., Velde, S.: Order batching to minimize total travel time in a parallel-aisle warehouse. IIE Trans. 37(1), 63–75 (2005)

    Article  Google Scholar 

  7. Hall, R.W.: Distance approximations for routing manual pickers in a warehouse. IIE Trans. 25(4), 76–87 (1993)

    Article  Google Scholar 

  8. Kofler, M., Beham, A., Wagner, S., Affenzeller, M.: Robust storage assignment in warehouses with correlated demand. In: Computational Intelligence and Efficiency in Engineering Systems, pp. 415–428. Springer (2015)

    Google Scholar 

  9. Kofler, M., Beham, A., Wagner, S., Affenzeller, M., Achleitner, W.: Re-warehousing vs. healing: strategies for warehouse storage location assignment. In: 2011 3rd IEEE International Symposium on Logistics and Industrial Informatics (LINDI), pp. 77–82. IEEE (2011)

    Google Scholar 

  10. Laporte, G.: The traveling salesman problem: an overview of exact and approximate algorithms. Eur. J. Oper. Res. 59(2), 231–247 (1992)

    Article  Google Scholar 

  11. Lu, W., McFarlane, D., Giannikas, V., Zhang, Q.: An algorithm for dynamic order-picking in warehouse operations. Eur. J. Oper. Res. 248(1), 107–122 (2016)

    Article  Google Scholar 

  12. Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press (1998)

    Google Scholar 

  13. Quintanilla, S., Pérez, Á., Ballestín, F., Lino, P.: Heuristic algorithms for a storage location assignment problem in a chaotic warehouse. Eng. Optim. 47(10), 1405–1422 (2015)

    Article  Google Scholar 

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

    Google Scholar 

  15. Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities Planning. Wiley (2010)

    Google Scholar 

  16. Zhao, F.: Forecasts for product demand. https://www.kaggle.com/felixzhao/productdemandforecasting/home (1998). Version 1. Accessed 20 Sept 2018

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jens Bürger .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bürger, J. (2020). Evaluating Order Picking Efficiency Under Demand Fluctuations. In: Leiras, A., González-Calderón, C., de Brito Junior, I., Villa, S., Yoshizaki, H. (eds) Operations Management for Social Good. POMS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-23816-2_1

Download citation

Publish with us

Policies and ethics