Energy Efficient Dual Command Cycles in Automated Storage and Retrieval Systems

Antonella Meneghetti
Dipartimento di Energetica e Macchine, University of Udine, Udine, Italy

Luca Monti
Dipartimento di Energetica e Macchine, University of Udine, Udine, Italy

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110571668

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:25, s. 1668-1675

Visa mer +

Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Sustainable manufacturing claims for more energy efficient operations in warehouse management. In AS/RSs they can be pursued by optimizing storage and retrieval cycles so that the least energy is required to move the crane. While picking operations have been traditionally optimized in order to minimize picking times directly linked to the service level perceived by customers; a sustainable approach leads to change this perspective by optimizing storage and retrieval cycles to lower energy requirements. In this paper we propose an energy-based heuristic to re-sequence retrievals in order to perform dual command cycles with the least energy requirements. Impact on both energy savings and round trip times is assessed when moving from single command to dual command cycles; if storage and retrieval operations are combined by the common first-come first-served policy. Further improvements on energy and time performances achievable by adopting different resequencing heuristics are then investigated. Factors affecting energy consumption and round trip times such as the storage allocation strategy; the re-sequencing time-based or energy-based policies; the demand distribution; and the shape of the rack; are analyzed by a 24 factorial design of experiments.


Energy efficiency; Automated Storage and Retrieval Systems; dual command cycles.


[1] Material Handling Industry of America; Automated Storage Systems Make a Play for Sustainability; AS/RS quarterly report; fall 2009; available at www.mhia.org/industrygroups/as-rs/news.

[2] A. Meneghetti; Sustainable storage assignments in AS/RSs; Proceedings of the International Conference on Advances in Production Management Systems (APMS) 2010; ISBN 9788864930077.

[3] K.J. Roodbergen; I.F.A. Vis; A survey of literature on automated storage and retrieval systems; European Journal of Operational Research 194; 2009; pp. 343-362. doi: 10.1016/j.ejor.2008.01.038.

[4] S.C. Graves; W.H. Hausman; L.B. Schwarz; Storage-retrieval interleaving in automatic warehousing systems; Management Science 23 (9); 1977; pp. 935-945. doi: 10.1287/mnsc.23.9.935.

[5] Y.A. Bozer; E.C. Schorn; G.P. Sharp; Geometric approaches to solve the Chebyshev traveling salesman problem; IIE Transactions 22(3); 1990; 238–254. doi: 10.1080/07408179008964179.

[6] M.H. Han; L.F. McGinnis; J.S. Shieh; J.A. White; On sequencing retrievals in an automated storage/retrieval system; IIE Transactions 19 (1); 1987; pp. 56-66. doi: 10.1080/07408178708975370.

[7] A. Eynan; M.J. Rosenblatt; An interleaving policy in automated storage/retrieval systems; International Journal of Production Research 31(1); 1993; 1-18. doi: 10.1080/00207549308956710.

[8] H.F. Lee; S.K. Schaefer; Retrieval sequencing for unit-load automated storage and retrieval systems with multiple openings; International Journal of Production Research 34 (10); 1996; 2943–2962. doi: 10.1080/00207549608905067.

[9] H.F. Lee; S.K. Schaefer; Sequencing methods for automated storage and retrieval systems with dedicated storage; Computers & Industrial Engineering 32 (2); 1997; 351–362. doi: 10.1016/S0360-8352(96)00298-7.

Citeringar i Crossref