IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9518-d879276.html
   My bibliography  Save this article

Automated Storage and Retrieval Systems: An Attractive Solution for an Urban Warehouse’s Sustainable Development

Author

Listed:
  • Aurélie Edouard

    (LAMIH-UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 75013 Paris, France
    Groupe La Poste, 75015 Paris, France)

  • Yves Sallez

    (LAMIH-UMR CNRS 8201, Université Polytechnique Hauts-de-France, CEDEX 09, 59313 Valenciennes, France)

  • Virginie Fortineau

    (Vivalto Santé Group, 75116 Paris, France)

  • Samir Lamouri

    (LAMIH-UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 75013 Paris, France)

  • Alexandre Berger

    (Groupe La Poste, 75015 Paris, France)

Abstract

In recent years, there has been an increasing awareness of sustainable development issues. Supply chain actors have become more and more aware of this situation, especially since the regulatory, social and societal pressures in this area are becoming more and more numerous. This state of affairs is not without consequences on company practices and economic. As a result, the urban warehouse model is emerging as one of the solutions studied in the urban logistics context. The characteristics, constraints and challenges of this model are presented in this article in order to define this new logistics facility. Secondly, automated storage and retrieval systems (AS/RS), today considered as a solution from Industry 4.0, are studied through a case study in order to determine their potential to meet the challenges of urban warehouses. Their ability to optimize available surfaces by densifying stocks in limited spaces is particularly demonstrated.

Suggested Citation

  • Aurélie Edouard & Yves Sallez & Virginie Fortineau & Samir Lamouri & Alexandre Berger, 2022. "Automated Storage and Retrieval Systems: An Attractive Solution for an Urban Warehouse’s Sustainable Development," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9518-:d:879276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9518/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/15/9518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aljohani, Khalid & Thompson, Russell G., 2016. "Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature," Journal of Transport Geography, Elsevier, vol. 57(C), pages 255-263.
    2. Bhavin Shah & Vivek Khanzode, 2017. "A comprehensive review of warehouse operational issues," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 26(3), pages 346-378.
    3. 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.
    4. Kang, Sanggyun, 2020. "Why do warehouses decentralize more in certain metropolitan areas?," Journal of Transport Geography, Elsevier, vol. 88(C).
    5. Berg, J. P. van den & Zijm, W. H. M., 1999. "Models for warehouse management: Classification and examples," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 519-528, March.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Lu & Langevin, André & Riopel, Diane, 2011. "A tabu search algorithm for the relocation problem in a warehousing system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 147-156, January.
    2. Gianluca Nastasi & Valentina Colla & Silvia Cateni & Simone Campigli, 2018. "Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1545-1557, October.
    3. Oliveira, Renata Lúcia Magalhães de & Dablanc, Laetitia & Schorung, Matthieu, 2022. "Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Trent, Nadia M. & Joubert, Johan W., 2022. "Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies," Journal of Transport Geography, Elsevier, vol. 101(C).
    5. Yu, Y. & de Koster, M.B.M., 2009. "On the Suboptimality of Full Turnover-Based Storage," ERIM Report Series Research in Management ERS-2009-051-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Yang, Zhiwei & Chen, Xiaohong & Pan, Ruixu & Yuan, Quan, 2022. "Exploring location factors of logistics facilities from a spatiotemporal perspective: A case study from Shanghai," Journal of Transport Geography, Elsevier, vol. 100(C).
    7. Fried, Travis & Goodchild, Anne, 2023. "E-commerce and logistics sprawl: A spatial exploration of last-mile logistics platforms," Journal of Transport Geography, Elsevier, vol. 112(C).
    8. 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.
    9. Zhao, Liyuan & Zhou, Cong & Liu, Kaili & Huang, Liyang & Li, Zhi-chun, 2024. "Comparison of the driving mechanism between logistics land use and facilities: A case study from Wuhan metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    10. Krzysztof Dmytrow, 2020. "Impact of the Method of Criteria Normalisation on the Order Picking Route and Time," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 834-851.
    11. Dario Pacciarelli & Andrea D’Ariano & Michele Scotto, 2011. "Applying RFID in warehouse operations of an Italian courier express company," Netnomics, Springer, vol. 12(3), pages 209-222, October.
    12. Viljoen, Nadia M. & Joubert, Johan W., 2019. "Supply chain micro-communities in urban areas," Journal of Transport Geography, Elsevier, vol. 74(C), pages 211-222.
    13. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2017. "Spatial reorganization of urban logistics system and its impacts: Case of Tokyo," Journal of Transport Geography, Elsevier, vol. 60(C), pages 110-118.
    14. Polten, Lukas & Emde, Simon, 2022. "Multi-shuttle crane scheduling in automated storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 302(3), pages 892-908.
    15. Gardrat, Mathieu, 2021. "Urban growth and freight transport: From sprawl to distension," Journal of Transport Geography, Elsevier, vol. 91(C).
    16. K. H. Chow & K. L. Choy & W. B. Lee, 2006. "On the design of a real‐time knowledge‐based system for managing logistics operations," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 14(1‐2), pages 3-25, January.
    17. Jażdżewska Iwona & Żerek Karolina, 2024. "A spatial analysis of one of the regional logistics clusters in central Poland using GIS," Environmental & Socio-economic Studies, Sciendo, vol. 12(2), pages 48-61.
    18. Gagliardi, Jean-Philippe & Ruiz, Angel & Renaud, Jacques, 2008. "Space allocation and stock replenishment synchronization in a distribution center," International Journal of Production Economics, Elsevier, vol. 115(1), pages 19-27, September.
    19. Ilaria Zambon & Artemi Cerdà & Filippo Gambella & Gianluca Egidi & Luca Salvati, 2019. "Industrial Sprawl and Residential Housing: Exploring the Interplay between Local Development and Land-Use Change in the Valencian Community, Spain," Land, MDPI, vol. 8(10), pages 1-18, September.
    20. Sandra Perks & Jason Delport, 2023. "Inventory Forecasting and Control Decisions for Effective Inventory Management in the South African Automotive Component Manufacturing Industry: Pre COVID-19 and Lockdown Period," Eurasian Journal of Business and Management, Eurasian Publications, vol. 11(1), pages 17-31.

    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:gam:jsusta:v:14:y:2022:i:15:p:9518-:d:879276. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.