IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i1d10.1007_s13198-021-01581-2.html
   My bibliography  Save this article

Industrial IoT and AI implementation in vehicular logistics and supply chain management for vehicle mediated transportation systems

Author

Listed:
  • Amitabh Bhargava

    (Graphic Era Deemd to be University)

  • Deepshikha Bhargava

    (DIT University)

  • P. Naveen Kumar

    (Amrita Vishwa Vidyapeetham University)

  • Guna Sekhar Sajja

    (University of the Cumberlands)

  • Samrat Ray

    (Peter The Great Saint Petersburg Polytechnic University)

Abstract

Internet in the present time has deeply impacted the demand and supply of materials. The constant demand of fast supply of logistics at cheapest cost has built a pressure of competitiveness among the manufacturing industries. To fulfil the requirement of present customers has led to the development of IIoT for smart manufacturing and smart logistics. Smart logistics has become the essential need of industry 5.0 to minimise logistic time and cost and maximise the customer satisfaction and organisation profit. This work presents the IIoT model integrated with intelligent logistics, transportation management structure for optimised logistic, betterment of customer experience and customer satisfaction, minimise transportation cost, the present work focus on the certain paraments of logistic scheduling such as optimal route identification, real time monitoring of logistic vehicle parameters such as fuel, wheel axel and engine vibration, temperature monitoring, customise and efficient designing of maintenance schedule and predictive maintenance of logistic vehicle for efficient working. The present work shows the improvement from 77 to 98% in overall performance of the proposed model along with increase in customer satisfaction, process efficiency, decreasing cost of operation with energy efficient and low latency performance of the new IIoT based framework.

Suggested Citation

  • Amitabh Bhargava & Deepshikha Bhargava & P. Naveen Kumar & Guna Sekhar Sajja & Samrat Ray, 2022. "Industrial IoT and AI implementation in vehicular logistics and supply chain management for vehicle mediated transportation systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 673-680, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01581-2
    DOI: 10.1007/s13198-021-01581-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01581-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01581-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(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. Rashi Saxena & E. Gayathri & Lalitha Surya Kumari, 2023. "Semantic analysis of blockchain intelligence with proposed agenda for future issues," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 34-54, March.
    2. Miljenko Mustapić & Maja Trstenjak & Petar Gregurić & Tihomir Opetuk, 2023. "Implementation and Use of Digital, Green and Sustainable Technologies in Internal and External Transport of Manufacturing Companies," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    3. Ihab K. A. Hamdan & Wulamu Aziguli & Dezheng Zhang & Eli Sumarliah, 2023. "Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 549-568, March.
    4. Maja Trstenjak & Tihomir Opetuk & Goran Đukić & Hrvoje Cajner, 2022. "Logistics 5.0 Implementation Model Based on Decision Support Systems," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    5. Khalid Zaman & Muhammad Khalid Anser & Usama Awan & Wiwik Handayani & Hailan Salamun & Abdul Rashid Abdul Aziz & Mohd Khata Jabor & Kamalularifin Subari, 2022. "Transportation-Induced Carbon Emissions Jeopardize Healthcare Logistics Sustainability: Toward a Healthier Today and a Better Tomorrow," Logistics, MDPI, vol. 6(2), pages 1-17, April.

    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. Dong, Ciwei & Huang, Qianzhi & Pan, Yuqing & Ng, Chi To & Liu, Renjun, 2023. "Logistics outsourcing: Effects of greenwashing and blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    2. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    3. Xu, Xiaoping & He, Ping & Zhou, Li & Cheng, T.C.E., 2023. "Coordination of a platform-based supply chain in the marketplace or reselling mode considering cross-channel effect and blockchain technology," European Journal of Operational Research, Elsevier, vol. 309(1), pages 170-187.
    4. Niu, Baozhuang & Ruan, Yiyuan & Xu, Haotao, 2023. "Turn a blind eye? E-tailer's blockchain participation considering upstream competition between copycats and brands," International Journal of Production Economics, Elsevier, vol. 265(C).
    5. Yu, Yugang & Luo, Yifei & Shi, Ye, 2022. "Adoption of blockchain technology in a two-stage supply chain: Spillover effect on workforce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    6. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    7. Zhangwei Feng & Peng Jin & Guiping Li, 2023. "Investment Decision of Blockchain Technology in Fresh Food Supply Chains Considering Misreporting Behavior," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    8. Dong, Jichang & Jing, Yihan & He, Zhou & Dong, Ciwei, 2024. "How to empower commercial satellite supply chain: Insurance, government subsidy or blockchain adoption?," Omega, Elsevier, vol. 127(C).
    9. Feng, Jianghong & Xu, Su Xiu & Xu, Gangyan & Cheng, Huibing, 2022. "An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    10. Sun, Yanshuo & Kirtonia, Sajeeb & Chen, Zhi-Long, 2021. "A survey of finished vehicle distribution and related problems from an optimization perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    11. Mwangakala, Hilda Abraham & Mongi, Hector & Ishengoma, Fredrick & Shao, Deo & Chali, Frederick & Mambile, Cesilia & Julius, Bernard, 2024. "Emerging digital technologies potential in promoting equitable agricultural supply chain: A scoping review," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    12. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    13. Xue Wang & Deqing Ma & Jinsong Hu, 2022. "Recycling Model Selection for Electronic Products Considering Platform Power and Blockchain Empowerment," Sustainability, MDPI, vol. 14(10), pages 1-44, May.
    14. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    15. Choi, Tsan-Ming & Chen, Yue, 2021. "Circular supply chain management with large scale group decision making in the big data era: The macro-micro model," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    16. Li, Qingying & Ma, Manqiong & Shi, Tianqin & Zhu, Chen, 2022. "Green investment in a sustainable supply chain: The role of blockchain and fairness," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    17. Yu, Yanan & He, Yong & Guo, Xiaotong & Li, Dong & Huang, Hongfu, 2024. "Quality disclosure strategy with asymmetric demand information in food supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    18. Xiangzhen Peng & Xin Zhang & Xiaoyi Wang & Haisheng Li & Jiping Xu & Zhiyao Zhao, 2022. "Multi-Chain Collaboration-Based Information Management and Control for the Rice Supply Chain," Agriculture, MDPI, vol. 12(5), pages 1-26, May.
    19. Wang, Manman & Yang, Feng & Shan, Feifei & Guo, Yu, 2024. "Blockchain adoption for combating remanufacturing perceived risks in a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    20. Choi, Tsan-Ming & Ouyang, Xu, 2021. "Initial coin offerings for blockchain based product provenance authentication platforms," International Journal of Production Economics, Elsevier, vol. 233(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:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01581-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.