IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v83y2006i10p1116-1124.html
   My bibliography  Save this article

Energy-saving methodology for material handling applications

Author

Listed:
  • Makris, P.A.
  • Makri, A.P.
  • Provatidis, C.G.

Abstract

This paper presents an energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem (TSP). While the available heuristic algorithms for the order-picking problem search for the route that minimizes the travel time, here the problem is addressed from the energy saving point of view. In a few words, the least energy-consuming route is identified in order to quantify the trade off in time and energy between the fastest route and the most energy economic one. Keeping in mind that often energy is as important as time, especially during a low-demand period, the current paper sheds some light into a two dimensional way of addressing the warehouse material handling problem, which saves time as well as energy. A very interesting finding is that a relatively small loss of service time in many cases may lead to a significant decrease of consumed energy without any additional cost.

Suggested Citation

  • Makris, P.A. & Makri, A.P. & Provatidis, C.G., 2006. "Energy-saving methodology for material handling applications," Applied Energy, Elsevier, vol. 83(10), pages 1116-1124, October.
  • Handle: RePEc:eee:appene:v:83:y:2006:i:10:p:1116-1124
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(05)00157-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rouwenhorst, B. & Reuter, B. & Stockrahm, V. & van Houtum, G. J. & Mantel, R. J. & Zijm, W. H. M., 2000. "Warehouse design and control: Framework and literature review," European Journal of Operational Research, Elsevier, vol. 122(3), pages 515-533, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Atashi Khoei, Arsham & Süral, Haldun & Tural, Mustafa Kemal, 2023. "Energy minimizing order picker forklift routing problem," European Journal of Operational Research, Elsevier, vol. 307(2), pages 604-626.
    2. Zhang, Zijun & Zeng, Yaohui & Kusiak, Andrew, 2012. "Minimizing pump energy in a wastewater processing plant," Energy, Elsevier, vol. 47(1), pages 505-514.
    3. Konrad Lewczuk & Michał Kłodawski & Paweł Gepner, 2021. "Energy Consumption in a Distributional Warehouse: A Practical Case Study for Different Warehouse Technologies," Energies, MDPI, vol. 14(9), pages 1-25, May.
    4. Zhu, Weihua, 2009. "Design and Development of Novel Routing Methodologies for Dynamic Roadway Navigation Systems," University of California Transportation Center, Working Papers qt8d72371n, University of California Transportation Center.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Janka Saderova & Andrea Rosova & Marian Sofranko & Peter Kacmary, 2021. "Example of Warehouse System Design Based on the Principle of Logistics," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    2. Derhami, Shahab & Smith, Jeffrey S. & Gue, Kevin R., 2020. "A simulation-based optimization approach to design optimal layouts for block stacking warehouses," International Journal of Production Economics, Elsevier, vol. 223(C).
    3. Alessandra Cantini & Filippo De Carlo & Mario Tucci, 2020. "Towards Forklift Safety in a Warehouse: An Approach Based on the Automatic Analysis of Resource Flows," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    4. Afonso Vaz de Oliveira & Carina M. Oliveira Pimentel & Radu Godina & João Carlos de Oliveira Matias & Susana M. Palavra Garrido, 2022. "Improvement of the Logistics Flows in the Receiving Process of a Warehouse," Logistics, MDPI, vol. 6(1), pages 1-23, March.
    5. Abdullah M. Barasin & Ammar Y. Alqahtani & Anas A. Makki, 2024. "Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI," Logistics, MDPI, vol. 8(1), pages 1-23, January.
    6. Shuyu Zhou & Yeming (Yale) Gong & René de Koster, 2016. "Designing self-storage warehouses with customer choice," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3080-3104, May.
    7. Valentin Carlan & David Ceulemans & Edwin Hassel & Stijn Derammelaere & Thierry Vanelslander, 2023. "Automation in cargo loading/unloading processes: do unmanned loading technologies bring benefits when both purchase and operational cost are considered?," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-25, December.
    8. Nikola Pavlov & Dragan Đurdjević & Milan Andrejić, 2023. "A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    9. Çağla Cergibozan & A. Serdar Tasan, 2019. "Order batching operations: an overview of classification, solution techniques, and future research," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 335-349, January.
    10. 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.
    11. Strack, Géraldine & Pochet, Yves, 2010. "An integrated model for warehouse and inventory planning," European Journal of Operational Research, Elsevier, vol. 204(1), pages 35-50, July.
    12. Wutthisirisart, Phichet & Sir, Mustafa Y. & Noble, James S., 2015. "The two-warehouse material location selection problem," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 780-789.
    13. Izabela Kudelska & Rafal Niedbal, 2021. "The Impact of Organizational Change on the Improvement of the Picking Process in a Logistics Center – A Case Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 882-892.
    14. Lim, Ming K. & Bahr, Witold & Leung, Stephen C.H., 2013. "RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends," International Journal of Production Economics, Elsevier, vol. 145(1), pages 409-430.
    15. Drent, Collin & Keizer, Minou Olde & Houtum, Geert-Jan van, 2020. "Dynamic dispatching and repositioning policies for fast-response service networks," European Journal of Operational Research, Elsevier, vol. 285(2), pages 583-598.
    16. Shahab Derhami & Jeffrey S. Smith & Kevin R. Gue, 2017. "Optimising space utilisation in block stacking warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6436-6452, November.
    17. Péter Dobos & Ákos Cservenák & Róbert Skapinyecz & Béla Illés & Péter Tamás, 2021. "Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems," Sustainability, MDPI, vol. 13(21), pages 1-33, October.
    18. J Renaud & A Ruiz, 2008. "Improving product location and order picking activities in a distribution centre," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(12), pages 1603-1613, December.
    19. Cardona, Luis F. & Soto, Diego F. & Rivera, Leonardo & Martínez, Hector J., 2015. "Detailed design of fishbone warehouse layouts with vertical travel," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 825-837.
    20. I. Kudelska & G. Pawłowski, 2020. "Influence of assortment allocation management in the warehouse on the human workload," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 779-795, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:83:y:2006:i:10:p:1116-1124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.