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Management and optimisation of chaotic supply chain system using adaptive sliding mode control algorithm

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  • Xiao Xu
  • Sang-Do Lee
  • Hwan-Seong Kim
  • Sam-Sang You

Abstract

This paper deals with adaptive super-twisting (STW) sliding mode control (SMC) algorithm to manage chaotic supply chain system. A multi-echelon supply chain system having parametric perturbations and disturbances is presented to demonstrate chaotic nonlinear dynamical behaviours. When changing input variables slightly in the supply chain system, the predicted outputs will be completely different due to chaotic behaviours with bifurcation. In addition, various uncertainties along with exogenous disturbances make the system dynamics more complex to manage as they propagate both upstream and downstream of the supply chain networks. Particularly, the adaptive STW SMC algorithm has been designed for chaos suppression and synchronisation of the supply chain system. Next, the robust control algorithm with adaptive law for the closed-loop system has been proved by using Lyapunov stability theorem. Then, extensive numerical simulations are conducted to demonstrate the validity of the active control synthesis for optimal operations management of chaotic supply chain networks. The control algorithm based on system theory provides satisfactory performance on achieving chaos suppression and synchronisation of the chaotic supply system. The control system theory can be expanded into new integration software applications for operations management of supply chain networks. Finally, the presented control synthesis with dynamical analysis is essential for strategic decision-makers in the modern supply chain management.

Suggested Citation

  • Xiao Xu & Sang-Do Lee & Hwan-Seong Kim & Sam-Sang You, 2021. "Management and optimisation of chaotic supply chain system using adaptive sliding mode control algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 59(9), pages 2571-2587, May.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:9:p:2571-2587
    DOI: 10.1080/00207543.2020.1735662
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    Cited by:

    1. Sepestanaki, Mohammadreza Askari & Rezaee, Hamidreza & Soofi, Mohammad & Fayazi, Hossein & Rouhani, Seyed Hossein & Mobayen, Saleh, 2024. "Adaptive continuous barrier function-based super-twisting global sliding mode stabilizer for chaotic supply chain systems," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    2. Truong Ngoc Cuong & Hwan-Seong Kim & Le Ngoc Bao Long & Sam-Sang You, 2024. "Seaport profit analysis and efficient management strategies under stochastic disruptions," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 212-240, June.
    3. Muhamad Deni Johansyah & Aceng Sambas & Saleh Mobayen & Behrouz Vaseghi & Saad Fawzi Al-Azzawi & Sukono & Ibrahim Mohammed Sulaiman, 2022. "Dynamical Analysis and Adaptive Finite-Time Sliding Mode Control Approach of the Financial Fractional-Order Chaotic System," Mathematics, MDPI, vol. 11(1), pages 1-14, December.

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