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Research Article

A computational scheme for data scheduling in industrial enterprise network using linear mixed model approach

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Pages 572-588 | Received 31 Mar 2022, Accepted 07 May 2023, Published online: 27 Jun 2023

References

  • Abdul Kalam Azad, S. M., and K. Srinivasan. 2021. “Dynamic Network Scheduler for Customized Aperiodic Communication in Networked Control System.” Automatic Control and Computer Sciences 55 (3): 263–276. https://doi.org/10.3103/S0146411621030020.
  • Azad, and S. Kannan. 2021. “Bandwidth Assessment of Scheduled and Unscheduled Communication in Hybrid Networked Control System.” Cyber-Physical Systems 8 (4): 321–346. https://doi.org/10.1080/23335777.2021.1924283.
  • Azad, S. M. A. K., and K. Srinivasan. 2020. “Analysis of Time Delays in Scheduled and Unscheduled Communication Used in Process Automation.” Automatika 61 (1): 109–116. https://doi.org/10.1080/00051144.2019.1687194.
  • Banerjee, S., T. Chattopadhyay, and U. Garain. 2019. “A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics.” International Journal of Automation & Computing 16 (6): 800–811. https://doi.org/10.1007/s11633-019-1185-8.
  • Barakat, B., S. Keates, I. J. Wassell, and K. Arshad. 2021. “Modelling IoT Devices Communication Employing Representative Operation Modes to Reveal Traffic Generation Characteristics.” International Journal of Parallel, Emergent and Distributed Systems 36 (2): 1–13.
  • Boyes, H., B. Hallaq, J. Cunningham, and T. Watson. 2018. “The Industrial Internet of Things (IIoT): An Analysis Framework.” Computers in Industry 101:1–12. https://doi.org/10.1016/j.compind.2018.04.015.
  • Chen, H. 2017. “Theoretical Foundations for Cyber-Physical Systems: A Literature Review.” Journal of Industrial Integration and Management 2 (3): 1750013. https://doi.org/10.1142/S2424862217500130.
  • Choudhary, A. K., J. A. Harding, and M. Kumar Tiwari. 2009. “Data Mining in Manufacturing: A Review Based on the Kind of Knowledge.” Journal of Intelligent Manufacturing 20 (5): 501. https://doi.org/10.1007/s10845-008-0145-x.
  • Cruz, F. R., J. MacGregor Smith, and G. Robson Mateus. 1999. “Algorithms for a Multi-Level Network Optimization Problem.” European Journal of Operational Research 118 (1): 164–180. https://doi.org/10.1016/S0377-22179800306-3.
  • Elsherif, A., D. Mandour, M. A. M. Ali, and M. Sedky. 2017. “A Self-Aware Paradigm for Autonomous Architectural Systems within the Internet of Things.” International Journal of Parallel, Emergent and Distributed Systems 32 (sup1): S15–S25. https://doi.org/10.1080/17445760.2017.1390098.
  • Esposito, C. 2018. “Interoperable, Dynamic and Privacy-Preserving Access Control for Cloud Data Storage When Integrating Heterogeneous Organizations.” Journal of Network and Computer Applications 108:124–136. https://doi.org/10.1016/j.jnca.2018.01.017.
  • Gao, R., L. Wang, R. Teti, D. Dornfeld, S. Kumara, M. Mori, and M. Helu. 2015. “Cloud-Enabled Prognosis for Manufacturing.” CIRP Annals 64 (2): 749–772. https://doi.org/10.1016/j.cirp.2015.05.011.
  • Hermann, M., T. Pentek, and B. Otto. “Design Principles for Industry 4.0 Scenarios.” 2016 49th Hawaii international conference on system sciences (HICSS). Koloa, HI, USA: IEEE, 2016.
  • Iqbal, R., N. Shah, A. James, and T. Cichowicz. 2013. “Tomasz Cichowicz “Integration, Optimization and Usability of Enterprise Applications.” Journal of Network and Computer Applications 36 (6): 1480–1488. https://doi.org/10.1016/j.jnca.2013.02.009.
  • Karl, A. T., and D. L. Zimmerman. 2020. “A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix.” Journal of Statistical Planning and Inference 211:107–118. https://doi.org/10.1016/j.jspi.2020.06.004.
  • Khan, M. “Big Data Challenges and Opportunities in the Hype of Industry 4.0.” 2017 IEEE International Conference on Communications (ICC). Paris, France: IEEE, 2017.
  • Kuo, Y.-H., and A. Kusiak. 2019. “From Data to Big Data in Production Research: The Past and Future Trends.” International Journal of Production Research 57 (15–16): 4828–4853. https://doi.org/10.1080/00207543.2018.1443230.
  • Kusiak, A. 2017. “Smart Manufacturing Must Embrace Big Data.” Nature 544 (7648): 23–25. https://doi.org/10.1038/544023a.
  • Laird, N. M., and J. H. Ware. 1982. “Random-Effects Models for Longitudinal Data.” Biometrics 38 (4): 963–974. https://doi.org/10.2307/2529876.
  • Lara, P., M. Sánchez, and J. Villalobos. 2020. “Enterprise Modeling and Operational Technologies (OT) Application in the Oil and Gas Industry.” Journal of Industrial Information Integration 19:100160. https://doi.org/10.1016/j.jii.2020.100160.
  • Lee, J., B. Bagheri, and H.-A. Kao. 2015. “A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems.” Manufacturing Letters 3:18–23. https://doi.org/10.1016/j.mfglet.2014.12.001.
  • Lee, Y. H., and S. Ho Hong. 2010. “Dependency on Prioritized Data in the Delay Analysis of Foundation Fieldbus.” Control Engineering Practice 18 (8): 845–851. https://doi.org/10.1016/j.conengprac.2008.11.003.
  • Lee, J., H.-A. Kao, and S. Yang. 2014. “Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment.” Procedia CIRP 16 (1): 3–8. https://doi.org/10.1016/j.procir.2014.02.001.
  • Lee, I., and K. Lee. 2015. “The Internet of Things (IoT): Applications, Investments, and Challenges for Enterprises.” Business Horizons 58 (4): 431–440. https://doi.org/10.1016/j.bushor.2015.03.008.
  • Li Da, X., E. L. Xu, and L. Ling. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962. https://doi.org/10.1080/00207543.2018.1444806.
  • Mahmoud, M. S., and Y. Xia. 2017. “The Interaction Between Control and Computing Theories: New Approaches.” International Journal of Automation & Computing 14 (3): 254–274. https://doi.org/10.1007/s11633-017-1070-2.
  • Nahm, Y.-E., and H. Ishikawa. 2005. “A Hybrid Multi-Agent System Architecture for Enterprise Integration Using Computer Networks.” Robotics and Computer-Integrated Manufacturing 21 (3): 217–234. https://doi.org/10.1016/j.rcim.2004.07.016.
  • Niu, D.-D., L. Liu, X. Zhang, S. Lu, and Z. Li. 2016. “Security Analysis Model, System Architecture and Relational Model of Enterprise Cloud Services.” International Journal of Automation & Computing 13 (6): 574–584. https://doi.org/10.1007/s11633-016-1014-2.
  • Qin, W., S. Chen, and M. Peng. 2020. “Recent Advances in Industrial Internet: Insights and Challenges.” Digital Communications and Networks 6 (1): 1–13. https://doi.org/10.1016/j.dcan.2019.07.001.
  • Rabe-Hesketh, S., and A. Skrondal. 2008. “Generalized Linear Mixed-Effects Models.” In Longitudinal data analysis, edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, and Geert Molenberghs, 93–120. London, New York: Chapman and Hall/CRC.
  • Rossit, D. A., F. Tohme, and M. Frutos. 2019. “A Data-Driven Scheduling Approach to Smart Manufacturing.” Journal of Industrial Information Integration 15:69–79. https://doi.org/10.1016/j.jii.2019.04.003.
  • Sanchez, M., E. Exposito, and J. Aguilar. 2020. “Autonomic Computing in Manufacturing Process Coordination in Industry 4.0 Context.” Journal of Industrial Information Integration 19:100159. https://doi.org/10.1016/j.jii.2020.100159.
  • Shah, A., N. Laird, and D. Schoenfeld. 1997. “A Random-Effects Model for Multiple Characteristics with Possibly Missing Data.” Journal of the American Statistical Association 92 (438): 775–779. https://doi.org/10.1080/01621459.1997.10474030.
  • Singh, A., A. Payal, and S. Bharti. 2019. “A Walkthrough of the Emerging IoT Paradigm: Visualizing Inside Functionalities, Key Features, and Open Issues.” Journal of Network and Computer Applications 143:111–151. https://doi.org/10.1016/j.jnca.2019.06.013.
  • Suri, K., A. Cuccuru, J. Cadavid, S. Gerard, W. Gaaloul, and Tata. 2017. “S.“model-Based Development of Modular Complex Systems for Accomplishing System Integration for Industry 4.0.” MODELSWARD 487–495.
  • Verbeke, G., and E. Lesaffre. 1996. “A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population.” Journal of the American Statistical Association 91 (433): 217–221. https://doi.org/10.1080/01621459.1996.10476679.
  • Wakefield, J. 2013. Bayesian and Frequentist Regression Methods. Springer Science & Business Media. https://doi.org/10.1007/978-1-4419-0925-1.
  • Wang, L., M. Törngren, and M. Onori. 2015. “Current Status and Advancement of Cyber-Physical Systems in Manufacturing.” Journal of Manufacturing Systems 37:517–527. https://doi.org/10.1016/j.jmsy.2015.04.008.
  • Wang, L., X. V. Wang, L. Gao, and J. Váncza. 2014. “A Cloud-Based Approach for WEEE Remanufacturing.” CIRP Annals 63 (1): 409–412. https://doi.org/10.1016/j.cirp.2014.03.114.
  • Xiao-Feng, D., and Y.-S. Fan. 2010. “Implementation of enterprises’ Interoperation Based on Ontology.” International Journal of Automation & Computing 7 (3): 303–309. https://doi.org/10.1007/s11633-010-0507-7.
  • Xun, X. 2012. “From Cloud Computing to Cloud Manufacturing.” Robotics and Computer-Integrated Manufacturing 28 (1): 75–86. https://doi.org/10.1016/j.rcim.2011.07.002.
  • Yang, L. 2017. “Industry 4.0: A Survey on Technologies, Applications and Open Research Issues.” Journal of Industrial Information Integration 6:1–10. https://doi.org/10.1016/j.jii.2017.04.005.
  • Yang, Y. C., T. I. Lin, L. M. Castro, and W. L. Wang. 2020. “Extending Finite Mixtures of T Linear Mixed-Effects Models with Concomitant Covariates.” Computational Statistics & Data Analysis 148:106961. https://doi.org/10.1016/j.csda.2020.106961.
  • Zunino, C., A. Valenzano, R. Obermaisser, and S. Petersen. 2020. “Factory Communications at the Dawn of the Fourth Industrial Revolution.” Computer Standards and Interfaces 71:103433. https://doi.org/10.1016/j.csi.2020.103433.

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