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How Energy Recovery Can Reshape Storage Assignment in Automated Warehouses

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 397)

Abstract

In automated storage and retrieval systems energy in descending and deceleration phases of cranes can be recovered into the power supply system instead of being dissipated as waste heat. Such technological opportunity should be exploited by properly modifying control policies in order to improve energy efficiency of warehousing operations. In this paper the impact of energy recovery on the storage assignment process is analysed. A model of energy consumption with recovery is proposed so that each location within a rack can be associated with energy required to be served in a storage or a retrieval cycle. Shape and distribution of zone for energy-based dedicated strategies are analysed. Energy and picking time performances of different storage policies when AS/RSs machines are equipped for energy recovery are analysed and compared.

Keywords

energy efficiency energy recovery automated storage and retrieval systems storage location assignment picking time 

References

  1. 1.
    Garetti, M., Taisch, M.: Sustainable manufacturing: trends and research challenges. Prod. Plan. Control. 23(2-3), 83–104 (2012)CrossRefGoogle Scholar
  2. 2.
    MHIA, Sustainability in warehousing, distribution & manufacturing, Promat (2011), http://www.mhia.org/news/mhia/10621/mhia-releases-results-of-sustainability-study-during-promat-2011 (last access February 2012)
  3. 3.
    Elkington, J.: Cannibals with Forks: The Triple Bottom Line of the 21st Century. New Society Publishers, Stoney Creek (1998)Google Scholar
  4. 4.
    MHIA, Automated Storage Systems Make a Play for Sustainability, quarterly report fall (2009), http://www.mhia.org/news/industry/9141/as-rs-industry-group-releases-fall-2009-quarterly-report (last access December 2011)
  5. 5.
    de Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: A literature review. Eur. J. Oper. Res. 182, 481–501 (2007)CrossRefzbMATHGoogle Scholar
  6. 6.
    Gu, J., Goetschalckx, M., McGinnis, L.F.: Research on warehouse design and performance evaluation: a comprehensive review. Eur. J. Oper. Res. 203, 539–549 (2010)CrossRefzbMATHGoogle Scholar
  7. 7.
    Roodbergen, K.J., Vis, I.F.A.: A survey of literature on automated storage and retrieval systems. Eur. J. Oper. Res. 194, 343–362 (2009)CrossRefzbMATHGoogle Scholar
  8. 8.
    Meneghetti, A., Monti, L.: Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Prod. Plan. Control, iFirst (December 15, 2011)Google Scholar
  9. 9.
    Hausman, W.H., Schwarz, L.B., Graves, S.C.: Optimal Storage Assignment in Automatic Warehousing Systems. Management Science 22(6), 629–638 (1976)CrossRefzbMATHGoogle Scholar
  10. 10.
    Hwang, H., Lee, S.B.: Travel-time models considering the operating characteristics of the storage and retrieval machine. Int. J. Prod. Res. 28(10), 1779–1789 (1990)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  1. 1.DIEG – Dipartimento di Ingegneria Elettrica, Gestionale e MeccanicaUniversity of UdineUdineItaly

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