IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v7y2023i2p24-d1122277.html
   My bibliography  Save this article

Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review

Author

Listed:
  • Lihle N. Tikwayo

    (Postgraduate School of Engineering Management, University of Johannesburg, 1 Bunting Road, Auckland Park, Johannesburg 2006, South Africa)

  • Tebello N. D. Mathaba

    (Postgraduate School of Engineering Management, University of Johannesburg, 1 Bunting Road, Auckland Park, Johannesburg 2006, South Africa)

Abstract

Background: Recent literature indicates that warehouse management costs account for a significant portion of overall logistics costs in companies. Warehousing requires the classification, controlling and management of inventory as well as processing of related information. Therefore, adopting efficient and reasonable warehouse management measures to achieve effective management and control of materials is a key means to flexibly adjusting the supply and demand of storage materials and reduce operating costs. There remains a gap in the understanding of benefits and barriers to the full adoption of Industry 4.0 technologies and decision support systems (DSSs) in warehouse management. Methods: This work applies a systematic literature review methodology of recent implementation case studies to analyze documented barriers and benefits of Industry 4.0 technology adoption in warehouse management. For analysis, benefits and barriers are ranked in order of importance using Pareto analysis based on their frequency of occurrence. Results: Improved process efficiency, the availability of real-time data, added competitive advantage and the ability to integrate business activities digitally are the top four most important benefits of implementing Industry 4.0 technologies and decision support systems in warehouse management. The prominent barriers to implementation are high life cycle cost, challenging physical environment/layout, inadequate supporting resource constraints, increased security risk and high energy consumption. Conclusions: Barriers to implementing Industry 4.0 technologies are interrelated in nature and prevent businesses from realizing the full benefit of implemented Industry 4.0 technologies. Adequate financial support, new knowledge and skills are required to be able to ensure the successful implementation of Industry 4.0 in warehousing management.

Suggested Citation

  • Lihle N. Tikwayo & Tebello N. D. Mathaba, 2023. "Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review," Logistics, MDPI, vol. 7(2), pages 1-19, April.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:24-:d:1122277
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/7/2/24/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/7/2/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siti Norida Wahab & Yi Ming Loo & Chee Seng Say, 2020. "Antecedents of blockchain technology application among Malaysian warehouse industry," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 37(3), pages 427-444.
    2. Llopis-Albert, Carlos & Rubio, Francisco & Valero, Francisco, 2019. "Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity," Journal of Business Research, Elsevier, vol. 101(C), pages 737-742.
    3. Fragapane, Giuseppe & de Koster, René & Sgarbossa, Fabio & Strandhagen, Jan Ola, 2021. "Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 294(2), pages 405-426.
    4. Zhang, Guoqing & Shang, Xiaoting & Alawneh, Fawzat & Yang, Yiqin & Nishi, Tatsushi, 2021. "Integrated production planning and warehouse storage assignment problem: An IoT assisted case," International Journal of Production Economics, Elsevier, vol. 234(C).
    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. Thi Kim Lien Nguyen & Thi Lan Huong Nguyen & Tri Long Ngo & Bang An Hoang & Hong Huyen Le & Thi Thanh Hong Tran, 2023. "An Integrated Approach of Fuzzy Analytic Hierarchy Process and Super Slack-Based Measure for the Logistics Industry in Vietnam," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    2. Adedotun Joseph Adenigbo & Joash Mageto & Rose Luke, 2023. "Adopting Technological Innovations in the Air Cargo Logistics Industry in South Africa," Logistics, MDPI, vol. 7(4), pages 1-16, November.

    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. Snežana Tadić & Mladen Krstić & Svetlana Dabić-Miletić & Mladen Božić, 2023. "Smart Material Handling Solutions for City Logistics Systems," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    2. Chen, Wanying & Gong, Yeming & Chen, Qi & Wang, Hongwei, 2024. "Does battery management matter? Performance evaluation and operating policies in a self-climbing robotic warehouse," European Journal of Operational Research, Elsevier, vol. 312(1), pages 164-181.
    3. Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco, 2021. "Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Baihui Jin & Wei Li, 2023. "External Factors Impacting Residents’ Participation in Waste Sorting Using NCA and fsQCA Methods on Pilot Cities in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    5. Cui, Yibing & Hu, Wei & Rahmani, Ahmed, 2023. "Fractional-order artificial bee colony algorithm with application in robot path planning," European Journal of Operational Research, Elsevier, vol. 306(1), pages 47-64.
    6. Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.
    7. Boccia, Maurizio & Masone, Adriano & Sterle, Claudio & Murino, Teresa, 2023. "The parallel AGV scheduling problem with battery constraints: A new formulation and a matheuristic approach," European Journal of Operational Research, Elsevier, vol. 307(2), pages 590-603.
    8. Lu Zhen & Jingwen Wu & Haolin Li & Zheyi Tan & Yingying Yuan, 2023. "Scheduling multiple types of equipment in an automated warehouse," Annals of Operations Research, Springer, vol. 322(2), pages 1119-1141, March.
    9. Dukkanci, Okan & Campbell, James F. & Kara, Bahar Y., 2024. "Facility location decisions for drone delivery: A literature review," European Journal of Operational Research, Elsevier, vol. 316(2), pages 397-418.
    10. Llopis-Albert, Carlos & Palacios-Marqués, Daniel & Simón-Moya, Virginia, 2021. "Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicle," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    11. McLeay, Fraser & Olya, Hossein & Liu, Hongfei & Jayawardhena, Chanaka & Dennis, Charles, 2022. "A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Pfrommer, Jakob & Meyer, Anne & Tierney, Kevin, 2024. "Solving the unit-load pre-marshalling problem in block stacking storage systems with multiple access directions," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1054-1071.
    13. Lechardoy, Lucie & López Forés, Laura & Codagnone, Cristiano, 2023. "Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277997, International Telecommunications Society (ITS).
    14. Onal, Sevilay & Zhu, Wen & Das, Sanchoy, 2023. "Order picking heuristics for online order fulfillment warehouses with explosive storage," International Journal of Production Economics, Elsevier, vol. 256(C).
    15. Maheshwari, Pratik & Kamble, Sachin & Belhadi, Amine & Venkatesh, Mani & Abedin, Mohammad Zoynul, 2023. "Digital twin-driven real-time planning, monitoring, and controlling in food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    16. Dominic Loske & Matthias Klumpp & Maria Keil & Thomas Neukirchen, 2021. "Logistics Work, Ergonomics and Social Sustainability: Empirical Musculoskeletal System Strain Assessment in Retail Intralogistics," Logistics, MDPI, vol. 5(4), pages 1-25, December.
    17. Themistoklis Stamadianos & Nikolaos A. Kyriakakis & Magdalene Marinaki & Yannis Marinakis, 2023. "Routing Problems with Electric and Autonomous Vehicles: Review and Potential for Future Research," SN Operations Research Forum, Springer, vol. 4(2), pages 1-34, June.
    18. Tadumadze, Giorgi & Wenzel, Julia & Emde, Simon & Weidinger, Felix & Elbert, Ralf, 2023. "Assigning orders and pods to picking stations in a multi-level robotic mobile fulfillment system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136885, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    19. Jonas F. Leon & Yuda Li & Mohammad Peyman & Laura Calvet & Angel A. Juan, 2023. "A Discrete-Event Simheuristic for Solving a Realistic Storage Location Assignment Problem," Mathematics, MDPI, vol. 11(7), pages 1-24, March.
    20. Hu, Yue & Yang, Hongbing & Huang, Yi, 2022. "Conflict-free scheduling of large-scale multi-load AGVs in material transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

    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:jlogis:v:7:y:2023:i:2:p:24-:d:1122277. 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.