The experimental analysis on safety stock effect of chaotic supply chain attractor

Açıkgöz, Neslihan; Çağıl, Gültekin; Uyaroğlu, Yılmaz

doi:10.1016/j.cie.2020.106881

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…Deterministic chaos is a typical phenomenon for nonlinear dynamical system such as Lotka-Volterra model. The Lyapunov exponent (LE) is the principal criteria for characterizing chaotic behaviour of dynamical system ( Lassoued et al, 2019 , Açıkgöz et al, 2020 , Othman et al, 2019 ). The LE detects the presence of chaos and quantifies the stability of the dynamical system.…”

Section: Port Interactions and Dynamical Analysismentioning

confidence: 99%

See 1 more Smart Citation

Seaport throughput forecasting and post COVID-19 recovery policy by using effective decision‐making strategy: A case study of Vietnam ports

Cuong

Kim

You

et al. 2022

Computers & Industrial Engineering

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Section: Port Interactions and Dynamical Analysismentioning

confidence: 99%

“…This phenomenon indicates that the system will be apparently chaotic under the dynamic interactions of port network. Consequently, the container throughput dynamics will be highly sensitive to initial conditions ( Aghababa, 2012 , Açıkgöz et al, 2020 ).…”

Section: Port Interactions and Dynamical Analysismentioning

confidence: 99%

Seaport throughput forecasting and post COVID-19 recovery policy by using effective decision‐making strategy: A case study of Vietnam ports

Cuong

Kim

You

et al. 2022

Computers & Industrial Engineering

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“…Nav et al [21] investigated SCMM with a smooth ordering policy and introduced a new policy designed based on a proportional-derivative technique. Ac ¸ıkg öz et al [2] examined a three-dimensional SCMM, utilizing it to stabilize the system by introducing a linear control to increase production and prevent a collapse leading to dangerous instability. Chen and Zhou [6] developed a dynamic price and advertising game model for an omni-channel SCMM involving online purchases with in-store pickups.…”

Section: Introductionmentioning

confidence: 99%

Controlling the unpredictable: bifurcation and backstepping strategies in supply chain dynamics

Johansyah,

Sambas,

Vaidyanathan

et al. 2024

J. Math. Computer Sci.

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Bifurcation points in a chaotic system represent critical thresholds where the system undergoes a qualitative change in behavior. In the context of supply chains, bifurcation points may signify shifts in demand patterns, disruptions in the flow of materials, or changes in market conditions. In this paper, we explore the intricacies of complexity within the Supply Chain Management Model (SCMM). The primary objective of this study involves an examination of the stability of the SCMM, revealing Hopf bifurcation, transcritical bifurcation, and double-zero bifurcation within the system. Additionally, we delve into the dynamical characteristics of the SCMM through the utilization of bifurcation diagrams and Lyapunov exponents. The findings indicate that the SCMM exhibits periodic, chaotic, and reverse period-doubling behaviors. To further comprehend the dynamics of the SCMM, we employ backstepping controllers to manage the chaotic SCMM and achieve synchronization between two SCMMs. Through numerical simulations, we demonstrate the effectiveness and applicability of the proposed methodologies.

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“…Ref. [12] analyzed a three-dimensional mathematical model of supply chains, with the goal of stabilizing chaotic behavior. This involved introducing a linear control parameter to manage production levels and mitigate the risk of potential collapse, which could lead to dangerous instability.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer

Johansyah,

Vaidyanathan,

Sambas

et al. 2024

Mathematics

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Supply chains comprise various interconnected components like suppliers, manufacturers, distributors, retailers, and customers, each with unique variables and interactions. Managing dynamic supply chains is highly challenging, particularly when considering various sources of risk factors. This paper extensively explores dynamical analysis and multistability analysis to understand nonlinear behaviors and pinpoint potential risks within supply chains. Different phase portraits are used to demonstrate the impact of various factors such as transportation risk, quality risk, distortion, contingency reserves, and safety stock on both customers and retailers. We introduced a sliding mode control method that computes the sliding surface and its derivative by considering the error and its derivative. The equivalent control law based on the sliding surface and its derivative is derived and validated for control purposes. Our results show that the controller SMC can significantly enhance supply chain stability and efficiency. This research provides a robust framework for understanding complex supply chain dynamics and offers practical solutions to enhance supply chain resilience and flexibility.

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The experimental analysis on safety stock effect of chaotic supply chain attractor

Cited by 8 publications

References 26 publications

Seaport throughput forecasting and post COVID-19 recovery policy by using effective decision‐making strategy: A case study of Vietnam ports

Seaport throughput forecasting and post COVID-19 recovery policy by using effective decision‐making strategy: A case study of Vietnam ports

Controlling the unpredictable: bifurcation and backstepping strategies in supply chain dynamics

Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer

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