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Research Article | Open Access

Nonlinear dynamic in a remanufacturing duopoly game: spectral entropy analysis and chaos control

Rami Amira1Mohammed Salah Abdelouahab2Nouressadat Touafek3Mouataz Billah Mesmouli4( )Hasan Nihal Zaidi4Taher S. Hassan4,5
Laboratory of Mathematics, Informatics and Systems (LAMIS), Echahid Cheikh Larbi Tebessi University, Tebessa, 12002, Algeria
Laboratory of Mathematics and Their Interactions, Abdelhafid Boussouf University Center of Mila, Mila 43000, Algeria
LMAM Laboratory, Faculty of Exact Sciences and Informatics, University of Jijel, 18000 Jijel, Algeria
Department of Mathematics, College of Science, University of Ha'il, Ha'il 2440, Saudi Arabia
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
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Abstract

In this study, our focus is on stabilizing a competitive game involving an original equipment manufacturer (OEM) and a third-party remanufacturer (TPR). To assess the presence of chaos within the dynamics of this game, we employ various analytical tools, including spectral entropy (SE), bifurcation diagrams, and Lyapunov exponents. The unpredictable nature of chaotic dynamics significantly influences the market and has negative implications for the strategic decisions of both firms. Our approach to counteracting this chaotic behaviour and stabilizing the system revolves around the implementation of the Ott, Grebogi, and Yorke (OGY) method. Crucially, our analysis highlights that the marginal costs ( c n and c r ) incurred by the OEM and TPR emerge as pivotal factors in achieving stabilization within the game. To provide a tangible demonstration of the effectiveness of our proposed stabilization strategy in the context of this competitive environment, we conducted numerical simulations.

CLC number: 39A23, 39A28, 39A30, 39A33, 39A60

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AIMS Mathematics
Pages 7711-7727

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Cite this article:
Amira R, Abdelouahab MS, Touafek N, et al. Nonlinear dynamic in a remanufacturing duopoly game: spectral entropy analysis and chaos control. AIMS Mathematics, 2024, 9(3): 7711-7727. https://doi.org/10.3934/math.2024374

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Received: 29 December 2023
Revised: 07 February 2024
Accepted: 18 February 2024
Published: 15 March 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)