IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i1p16-d1334582.html
   My bibliography  Save this article

Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

Author

Listed:
  • Natalia Khan

    (Equinor ASA, Forusbeen 50, 4035 Stavanger, Norway
    Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langes Gate 2, 8514 Narvik, Norway)

  • Wei Deng Solvang

    (Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langes Gate 2, 8514 Narvik, Norway)

  • Hao Yu

    (Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langes Gate 2, 8514 Narvik, Norway)

Abstract

Background: Spare parts warehousing in the oil and gas industry is essential for offshore production. With the introduction of Industry 4.0 and its subsequent technological tools, new functions are enabled in industrial logistics activities. Efficiency, visibility, optimization, and productivity are often mentioned as benefits of successful Industry 4.0 technology implementation in logistics activities. In this paper, the implementation of Industry 4.0 technologies such as the Industrial Internet of Things (IIoT) in spare parts warehousing in the oil and gas industry is studied. Method: 133 peer-reviewed journal publications indexed in Scopus and Web of Science are analyzed in a systematic literature review. The review is structured as frequency and content analysis. Aim: As there is limited research on this specific topic, the aim is for this paper to be a theoretical foundation that assists the industry with future solutions. Results: The list of benefits of implementation gathered from the literature is comprehensive. However, the list of challenges is particularly pertinent to the oil and gas industry and indicates a strong inclination towards limited and controlled implementation of some technologies. The safety demands of the industry mean there are many limitations to implementation currently. Conclusions: This paper reflects on the results, identifies research gaps, and gives proposals for future research.

Suggested Citation

  • Natalia Khan & Wei Deng Solvang & Hao Yu, 2024. "Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-23, February.
  • Handle: RePEc:gam:jlogis:v:8:y:2024:i:1:p:16-:d:1334582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/1/16/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/8/1/16/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abderahman Rejeb & John G. Keogh & Samuel Fosso Wamba & Horst Treiblmaier, 2021. "The potentials of augmented reality in supply chain management: a state-of-the-art review," Management Review Quarterly, Springer, vol. 71(4), pages 819-856, October.
    2. Sotiris P. Gayialis & Evripidis P. Kechagias & Grigorios D. Konstantakopoulos & Georgios A. Papadopoulos, 2022. "A Predictive Maintenance System for Reverse Supply Chain Operations," Logistics, MDPI, vol. 6(1), pages 1-14, January.
    3. Paul J. Reaidy & A. Gunasekaran & A. Spalanzani, 2015. "Bottom-Up Approach based on Internet of things for Order Fulfillment in a Collaborative Warehousing Environment," Post-Print halshs-01374073, HAL.
    4. Reaidy, Paul J. & Gunasekaran, Angappa & Spalanzani, Alain, 2015. "Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 29-40.
    5. Matheus Belucio & Renato Santiago & José Alberto Fuinhas & Luiz Braun & José Antunes, 2022. "The Impact of Natural Gas, Oil, and Renewables Consumption on Carbon Dioxide Emissions: European Evidence," Energies, MDPI, vol. 15(14), pages 1-16, July.
    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. Yen Sheng Tsai & Wei-Hsi Hung, 2023. "A low-cost intelligent tracking system for clothing manufacturers," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 473-491, February.
    2. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    3. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    4. Abderahman Rejeb & Karim Rejeb & Imen Zrelli, 2024. "Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach," Logistics, MDPI, vol. 8(2), pages 1-27, April.
    5. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.
    6. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.
    7. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    8. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    9. Carmen Talavera & Joan R. Sanchis, 2020. "Alliances between For-Profit and Non-Profit Organizations as an Instrument to Implement the Economy for the Common Good," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    10. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.
    11. Sadia Samar Ali & Rajbir Kaur, 2022. "Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    12. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    13. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    14. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
    15. Mourad Makaci & Paul J. Reaidy & Karine Evrard Samuel & Valérie Botta-Genoulaz & Thibaud Monteiro, 2017. "Pooled warehouse management : An empirical study," Post-Print hal-01531304, HAL.
    16. Noha Mostafa & Walaa Hamdy & Hisham Alawady, 2019. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing," Social Sciences, MDPI, vol. 8(3), pages 1-10, March.
    17. Zhang, Yuankai & Sun, Lijun & Hu, Xiangpei & Zhao, Chen, 2019. "Order consolidation for the last-mile split delivery in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 309-327.
    18. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    19. Vitor William Batista Martins & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Rayra Brandão & Antônio Erlindo Braga Júnior & Verônica de Menezes Nascimento Nagata, 2022. "Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(3), pages 1-17, August.
    20. 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.

    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:8:y:2024:i:1:p:16-:d:1334582. 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.