Integrated dynamic planning and scheduling of enterprise information system modernization

  • Boris Sokolov ,
  • Valerii Zakharov ,
  • Oleg Kofnov ,
  • Saluhov Vladimir 
  • a,b,c,d SPIIRAS, 14-th Linia, VI, No. 39, Saint-Petersburg, 199178, Russia
Cite as
Sokolov B., Zakharov V., Kofnov O., Saluhov V. (2020). Integrated dynamic planning and scheduling of enterprise information system modernization. Proceedings of the 32nd European Modeling & Simulation Symposium (EMSS 2020), pp. 270-276. DOI: https://doi.org/10.46354/i3m.2020.emss.038

Abstract

This article discusses an approach to planning and scheduling for modernization of enterprise information system based on complex objects (CO) proactive structure dynamics control (SDC) applied theory. The main advantage of the theory is that the combined use of alternative models, methods, and algorithms allows to compensate their objectively existing shortcomings and limitations while enhancing their positive qualities. In the paper, this advantage of SDC applied theory is illustrated with an example of a ship-building enterprise. 

References

  1. Andersen, A.-L., Brunoe, T. D., Nielsen, K., & Rösiö, C. (2017). Towards a generic design method for reconfigurable manufacturing systems: Analysis and synthesis of current design methods and evaluation of supportive tools. Journal of Manufacturing Systems, 42, 179-195.  doi:https://doi.org/10.1016/j.jmsy.2016.11.006
  2. Brecher, C., Jeschke, S., Schuh, G., Aghassi, S., Arnoscht, J., Bauhoff, F., . . . Welter, F. (2012). Integrative Production Technology for High-wage Countries. In (pp. 17-76).
  3. Brettel, M., Fischer, F., Bendig, D., Weber, A., & Wolff, B. (2016). Enablers for Self-optimizing Production Systems in the Context of Industrie 4.0. Procedia CIRP, 41, 93-98.  doi:10.1016/j.procir.2015.12.065
  4. Capawa Fotsoh, E., Nasser, M., Castagna, P., & Berruet, P. (2020). A Classification for Reconfigurable Manufacturing Systems. In (pp. 11-28).
  5. Dolgui, A., Ivanov, D., Sethi, S., & Sokolov, B. (2018). Control Theory Applications to Operations
    Systems, Supply Chain Management and Industry 4.0 Networks. IFAC-PapersOnLine, 51, 1536-1541. doi:10.1016/j.ifacol.2018.08.279
  6. Dolgui, A., Ivanov, D., Sethi, S. P., & Sokolov, B. (2019). Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications.
    International Journal of Production Research, 57(2), 411-432.
    doi:10.1080/00207543.2018.1442948
  7. Durão, L. F. C., Haag, S., Anderl, R., Schützer, K., & Zancul, E. (2018). Digital twin requirements in the context of industry 4.0. Paper presented at the IFIP International Conference on Product Lifecycle Management.
  8. Gnidenko, A., Sobolevsky, V., Potryasaev, S., & Sokolov, B. (2019). Methodology and integrated
    modeling technologies for synthesis of cyberphysical production systems modernization programs and plans. IFAC-PapersOnLine, 52, 642-647. doi:10.1016/j.ifacol.2019.11.305
  9. Ivanov, D., & Sokolov, B. (2012). Dynamic supply chain scheduling. Journal of Scheduling, 15(2), 201-216. doi:10.1007/s10951-010-0189-6
  10. Ivanov, D., & Sokolov, B. (2013). Dynamic co-ordinated scheduling in the supply chain under a process modernisation. International Journal of Production Research, 51(9), 2680-2697.
    doi:10.1080/00207543.2012.737950
  11. Ivanov, D., Sokolov, B., & Raguinia, E. A. D. (2014). Integrated dynamic scheduling of material flows and distributed information services in collaborative cyber-physical supply networks.
    International Journal of Systems Science: Operations & Logistics, 1(1), 18-26.  doi:10.1080/00207721.2013.879226
  12. Koren, Y., Gu, X., & Guo, W. (2017). Reconfigurable manufacturing systems: Principles, design, and future trends. Frontiers of Mechanical Engineering. doi:10.1007/s11465-018-0483-0
  13. Milisavljevic-Syed, J., Allen, J., Commuri, S., & Mistree, F. (2020). Realization of Reconfigurable
    Manufacturing Systems. In (pp. 185-257).
  14. Sokolov, B., Trofimova, I., Nazarov, D., & Zakharov, V. (2019). Modification of Multiple-model
    Description and Planning and Update Control Algorithms of Supply Chain IFAC-PapersOnLine,
    52(13), 1972-1977. doi:https://doi.org/10.1016/j.ifacol.2019.11.492
  15. Tsvirkun A.D. Osnovy sinteza struktur slozhnykh sistem (Fundamentals of the Synthesis of
    Structures of Complex Systems), Moscow, 1982, 200 р. (in Russ.)
  16. Wang, B., Guan, Z., Chen, Y., Shao, X., Jin, M., & Zhang, C. (2013). An assemble-to-order production planning with the integration of order scheduling and mixed-model sequencing. Frontiers of Mechanical Engineering, 8.
  17. Laboratory of Information Technologies in System Analysis and Modeling. https://litsam.ru