Open Access
Issue
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
Article Number 01079
Number of page(s) 15
DOI https://doi.org/10.1051/e3sconf/202455201079
Published online 23 July 2024
  1. Nangia, S., Makkar, S., & Hassan, R. (2020). IoT based Predictive Maintenance in Manufacturing Sector. Social Science Research Network. [Google Scholar]
  2. Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys (CSUR), 41(3), 15. [CrossRef] [Google Scholar]
  3. Fernie, J., & Sparks, L. (2014). Logistics and Retail Management: Emerging Issues and New Challenges in the Retail Supply Chain (4th ed.). Kogan Page Publishers. [Google Scholar]
  4. Smith, J. (2005). The Evolution of Logistics: Past, Present, and Future. International Journal of Logistics Management, 16(2), 97–114. [Google Scholar]
  5. Jones, P. (2008). Logistics and Supply Chain Management. Financial Times/Prentice Hall. [Google Scholar]
  6. Chopra, S., & Meindl, P. (2007). Supply Chain Management: Strategy, Planning, and Operation. Pearson Education. [Google Scholar]
  7. Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2005). Supply Chain Logistics Management. McGraw-Hill. [Google Scholar]
  8. Closs, D. J., Speier, C., & Meacham, N. (2008). Sustainability to support end-to-end value chains: The role of supply chain management. Journal of the Academy of Marketing Science, 36(1), 44–54. [Google Scholar]
  9. Kapuscinski, R., Zhang, R. Q., Carbonneau, R., & Moore, R. (2004). Inventory Management for an Assemble-to-Order Environment with Product Substitution. Production and Operations Management, 13(2), 150–165. [CrossRef] [Google Scholar]
  10. Dumbill, E. (2012). What is big data? An introduction to the big data landscape. O'Reilly Media, Inc. [Google Scholar]
  11. Finkenzeller, K. (2010). RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and Near-Field Communication. John Wiley & Sons. [Google Scholar]
  12. Liao, Y., Lee, E. S., & Hsieh, Y. C. (2007). An empirical study on RFID adoption in distribution centers. Technovation, 27(5), 268–279. [Google Scholar]
  13. Sarma, S. E., Want, R., & Want, R. (2000). Networked RFID systems and lightweight cryptography. In Proceedings of the 2000 ACM workshop on Security and privacy in digital rights management (pp. 47–61). [Google Scholar]
  14. Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., & Savage, S. (2010). Experimental security analysis of a modern automobile. In IEEE Symposium on Security and Privacy (SP) (pp. 447–462). [Google Scholar]
  15. Kaplan, E. D., & Hegarty, C. J. (2005). Understanding GPS: Principles and Applications. Artech House. [Google Scholar]
  16. Teodorovic, D., & Tošić, D. (2013). Modeling and Planning of Manufacturing Processes: Numerical and Optimization Methods. Springer Science & Business Media. [Google Scholar]
  17. Rao, K. S., & Minakakis, L. (2003). Real-time GPS/GIS integration for intelligent transportation systems. Computers, Environment and Urban Systems, 27(1), 61–82. [Google Scholar]
  18. Li, R., & Cheng, Y. (2020). An intelligent warehouse management system based on the internet of things and big data analysis. Sensors, 20(12), 3605. [CrossRef] [PubMed] [Google Scholar]
  19. Abuzneid, A., Al-Smadi, M., Shaalan, K., Al-Ayyoub, M., Al-Khasawneh, A., & Alzoubi, D. (2017). Internet of Things (IoT) Operating Systems Support: Motivation, Survey, and Open Challenges. Journal of King Saud University - Computer and Information Sciences. [Google Scholar]
  20. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. [CrossRef] [Google Scholar]
  21. Zhang, Y., Wang, X., Tian, Y., Zhang, X., & Yang, D. (2019). A Review on the Telematics Technologies in the Application of Intelligent Transportation. IEEE Access, 7, 45675–45692. [Google Scholar]
  22. Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014). Context-aware computing for the Internet of Things: A survey. IEEE Communications Surveys & Tutorials, 16(1), 414–454. [CrossRef] [Google Scholar]
  23. Duan, Y., Xu, H., & Huang, L. (2019). Telematics-based insurance: A review. IEEE Transactions on Intelligent Transportation Systems, 20(6), 2273–2289. [Google Scholar]
  24. Wang, L., Zhang, Y., & Guo, B. (2019). A novel IoT-based predictive maintenance approach for smart logistics systems. IEEE Access, 7, 120563–120572. [Google Scholar]
  25. Chen, D., Dou, W., Wang, X., & Chen, J. (2014). A big data architecture design for smart grid flexibly integrating various applications. IEEE Transactions on Industrial Informatics, 10(2), 1840–1847. [Google Scholar]
  26. Marz, N., & Warren, J. (2015). Big Data: Principles and best practices of scalable real-time data systems. Manning Publications. [Google Scholar]
  27. Zikopoulos, P., Eaton, C., deRoos, D., Deutsch, T., & Lapis, G. (2012). Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media. [Google Scholar]
  28. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58. [CrossRef] [Google Scholar]
  29. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company. [Google Scholar]
  30. Davenport, T. H., Harris, J., & Shapiro, J. (2010). Competing on talent analytics. Harvard Business Review, 88(10), 52–58. [PubMed] [Google Scholar]
  31. Ferreira, A., de Almeida, A. T., & Delicato, F. C. (2015). Smart logistics: A new paradigm. Procedia Computer Science, 55, 677–686. [Google Scholar]
  32. Jain, S. (2017). Role of IoT in Temperature-controlled Logistics. In Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (pp. 18–22). [Google Scholar]
  33. Chen, L., Miao, H., Li, X., Leung, V. C., & Mao, S. (2016). Internet of Things for Modern Logistics. IEEE Internet of Things Journal, 3(6), 1190–1209. [Google Scholar]
  34. Deloitte Insights. "National Supply Chain Disruption Survey." 2022. [Google Scholar]
  35. Vermesan, O., & Friess, P. (2013). Internet of Things - From Research and Innovation to Market Deployment. River Publishers. [Google Scholar]
  36. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (NIST Special Publication 800-145). National Institute of Standards and Technology. [Google Scholar]
  37. Lu, G., & Viriyasitavat, W. (2010). An overview of sensor networks and the Internet of Things in logistics and supply chain management. In The 7th International Conference on Information Technology and Applications (pp. 335–340). [Google Scholar]
  38. Gao, W., & Zhang, C. (2018). A probabilistic model for predictive maintenance of logistics equipment based on sensor data. Sensors, 18(3), 598. [CrossRef] [PubMed] [Google Scholar]
  39. Perakslis, E. D., & Wolk, R. (2005). Social acceptance of RFID as a biometric security method. In IEEE International Carnahan Conference on Security Technology (pp. 135–140). [Google Scholar]
  40. Hausman, W. H., Lee, H. L., & Subramanian, U. (2006). An experimental study of electronic data interchange and firm design. Management Science, 52(4), 554–572. [Google Scholar]
  41. Jones, P. (2008). Logistics and Supply Chain Management. Financial Times/Prentice Hall. [Google Scholar]
  42. Roman, R., Zhou, J., & Lopez, J. (2013). On the features and challenges of security and privacy in distributed internet of things. Computer Networks, 57(10), 2266–2279. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.