Different control strategies for a newly created supply chain model
*Chotan RoyCorresponding authorchotanmathematics1498@gmail.comDepartment of MathematicsBankura UniversityBankura, West Bengal, 722155, India0009-0003-5142-1622View full profile → , Mohammad Ali Khanmdmaths@gmail.comDepartment of MathematicsBishnupurRamananda CollegeBankura, West Bengal, 722122, India0000-0002-7596-7609View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Nov 2025
- Published Online:
- 20 Jun 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDSGT-2025-11001
- Pages:
- 55–69
Abstract
Keywords
Subject Classifications
References
[1] K. P. Nurjanni, M. S. Carvalho, and L. Costa, “Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model,” International Journal of Production Economics, vol. 183, pp. 421-432 (2017).
[2] H. Sarimveis, P. Patrinos, C. D. Tarantilis, and C. T. Kiranoudis, “Dynamic modeling and control of supply chain systems: A review,” Computers & Operations Research, vol. 35, no. 11, pp. 3530-3561 (2008).
[3] J. D. Sterman, S. Shah, and R. R. W. Watson, “System dynamics perspectives and modeling opportunities for research in operations management,” Journal of Operations Management, vol. 39, pp. 1-5 (2015).
[4] P. Beske, A. Land, and S. Seuring, “Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature,” International Journal of Production Economics, vol. 152, pp. 131-143 (2014).
[5] E. Ott, C. Grebogi, and J. A. Yorke, “Controlling chaos,” Physical Review Letters, vol. 64, no. 11, pp. 1196-1199 (1990).
[6] K. Pyragas, “Continuous control of chaos by self-controlling feedback,” Physics Letters A, vol. 170, no. 6, pp. 421-428 (1992).
[7] G. Laarem, “A new 4-D hyper chaotic system generated from the 3-D Rössler chaotic system, dynamical analysis, chaos stabilization via an optimized linear feedback control, its fractional order model and chaos synchronization using optimized fractional order sliding mode control,” Chaos, Solitons & Fractals, vol. 152, Art. no. 111437 (2021).
[8] R. Rao and S. Zhong, “Input-to-state stability and no-inputs stabilization of delayed feedback chaotic financial system involved in open and closed economy,” Discrete and Continuous Dynamical Systems-Series A, vol. 41, no. 7 (2021).
[9] Y. Qian, X. Li, Z. Wang, and Y. Liu, “Complexity analysis and control of game behavior of subjects in green building materials supply chain considering technology subsidies,” Expert Systems with Applications, vol. 214, Art. no. 119052 (2023).
[10] Y. P. Dousseh, A. K. Tchagna Kouanou, J. R. N. Tagne, and P. Woafo, “Dynamics analysis, adaptive control, synchronization and anti-synchronization of a novel modified chaotic financial system,” International Journal of Dynamics and Control, vol. 11, no. 2, pp. 862-876 (2023).
[11] L. M. Pecora and T. L. Carroll, “Synchronization in chaotic systems,” Physical Review Letters, vol. 64, no. 8, pp. 821-824 (1990).
[12] M. Mohadeszadeh and N. Pariz, “An application of adaptive synchronization of uncertain chaotic system in secure communication systems,” International Journal of Modelling and Simulation, vol. 42, no. 1, pp. 143-152 (2022).
[13] E. Gokcay and H. Tora, “A novel data encryption method using an interlaced chaotic transform,” Expert Systems with Applications, vol. 237, Art. no. 121494 (2024).
[14] A. Mehmood, M. A. Khan, M. M. Jamjoom, and H. M. Alshahrani, “A time-efficient and noise-resistant cryptosystem based on discrete wavelet transform and chaos theory: An application in image encryption,” Journal of Information Security and Applications, vol. 78, Art. no. 103590 (2023).
[15] T.-L. Liao, C.-C. Wang, J.-J. Yan, and Y.-C. Wang, “Chaos-based secure communications in biomedical information application,” Electronics, vol. 10, no. 3, Art. no. 359 (2021).
[16] V. Gupta, “Application of chaos theory for arrhythmia detection in pathological databases,” International Journal of Medical Engineering and Informatics, vol. 15, no. 2, pp. 191-202 (2023).
[17] G. Sivaganesh, M. Daniel Sweetlin, and A. Arulgnanam, “Synchronization of strange non-chaotic attractors via unidirectional coupling of quasiperiodically-forced systems,” Journal of the Korean Physical Society, vol. 69, pp. 124-130 (2016).
[18] M. A. Khan and S. Poria, “Projective synchronization of chaotic systems with bidirectional nonlinear coupling,” Pramana, vol. 81, pp. 395-406 (2013).
[19] E. N. Lorenz, “Deterministic nonperiodic flow,” Journal of the Atmospheric Sciences, vol. 20, no. 2, pp. 130-141 (1963).
[20] O. E. Rössler, “An equation for hyperchaos,” Physics Letters A, vol. 71, no. 2-3, pp. 155-157 (1979).
[21] L. Stenflo, “Generalized Lorenz equations for acoustic-gravity waves in the atmosphere,” Physica Scripta, vol. 53, no. 1, pp. 83-84 (1996).
[22] Y. Ouyang and C. F. Daganzo, “Robust tests for the bullwhip effect in supply chains with stochastic dynamics,” European Journal of Operational Research, vol. 185, no. 1, pp. 340-353 (2008).
[23] E. V. Yaroson, R. O. Boso, E. A. Boadu, and E. N. Nartey, “Advancing the understanding of pharmaceutical supply chain resilience using complex adaptive system (CAS) theory,” Supply Chain Management: An International Journal, vol. 26, no. 3, pp. 323-340 (2021).
[24] D. C. Chatfield, J. C. Hayya, and D. P. Cook, “Stockout propagation and amplification in supply chain inventory systems,” International Journal of Production Research, vol. 51, no. 5, pp. 1491-1507 (2013).
