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Time and energy optimal unit-load assignment for automatic S/R warehouses

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  • Bortolini, Marco
  • Faccio, Maurizio
  • Ferrari, Emilio
  • Gamberi, Mauro
  • Pilati, Francesco

Abstract

Effectiveness in warehouse design and operations is crucial for the industrial companies to be competitive in the market arena by reducing the response time and inbound costs, increasing their global service level. Storage assignment deals with the definition of effective strategies to organise items into industrial warehouses to achieve high performances. This paper enhances the conventional approaches on storage assignment proposing a time and energy bi-objective model for single-deep rack automatic warehouses served by aisle captive automated storage/retrieval systems (AS/RSs). The model is based on the joint minimisation of the travel time and the energy required by the cranes to S/R the unit-loads. The analytic models to compute the expected single-command cycle time and energy are integrated into a bi-objective model, optimising the load assignment. An application, taken from the beverage industry, is, finally, discussed. The different perspectives of adopting time and energy to drive the load assignment are stressed proposing a practical trade-off rule. Results highlight the possibility to balance the time cycle and the energy intensity. Within the case application, an energy saving of 12.66% respect to the time model occurs with a time efficiency decrease of about 2.52%.

Suggested Citation

  • Bortolini, Marco & Faccio, Maurizio & Ferrari, Emilio & Gamberi, Mauro & Pilati, Francesco, 2017. "Time and energy optimal unit-load assignment for automatic S/R warehouses," International Journal of Production Economics, Elsevier, vol. 190(C), pages 133-145.
    • Handle: RePEc:eee:proeco:v:190:y:2017:i:c:p:133-145
    DOI: 10.1016/j.ijpe.2016.07.024
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    References listed on IDEAS

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    1. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    2. Antonella Meneghetti & Eleonora Dal Borgo & Luca Monti, 2015. "Rack shape and energy efficient operations in automated storage and retrieval systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(23), pages 7090-7103, December.
    3. Bonney, Maurice & Jaber, Mohamad Y., 2011. "Environmentally responsible inventory models: Non-classical models for a non-classical era," International Journal of Production Economics, Elsevier, vol. 133(1), pages 43-53, September.
    4. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    5. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2007. "Research on warehouse operation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 177(1), pages 1-21, February.
    6. Warren H. Hausman & Leroy B. Schwarz & Stephen C. Graves, 1976. "Optimal Storage Assignment in Automatic Warehousing Systems," Management Science, INFORMS, vol. 22(6), pages 629-638, February.
    7. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2010. "Research on warehouse design and performance evaluation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 203(3), pages 539-549, June.
    8. van den Berg, Jeroen P., 2002. "Analytic expressions for the optimal dwell point in an automated storage/retrieval system," International Journal of Production Economics, Elsevier, vol. 76(1), pages 13-25, March.
    9. Manzini, Riccardo & Accorsi, Riccardo & Gamberi, Mauro & Penazzi, Stefano, 2015. "Modeling class-based storage assignment over life cycle picking patterns," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 790-800.
    10. Roodbergen, Kees Jan & Vis, Iris F.A., 2009. "A survey of literature on automated storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 194(2), pages 343-362, April.
    11. Andrea Fumi & Laura Scarabotti & Massimiliano M. Schiraldi, 2013. "The effect of slot-code optimisation on travel times in common unit-load warehouses," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 15(4), pages 507-527.
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    2. Hyun-woo Jeon & Ahmad Ebrahimi & Ga-hyun Lee, 2023. "A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems," Sustainability, MDPI, vol. 15(20), pages 1-25, October.

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