Abstract
This paper presents a dynamic availability assessment of a large multi-component production system, taking into account the stochastic interdependence effect that has a negative impact on system availability. While this effect is detrimental to availability, it is necessary to consider it in maintenance modeling. The proposed model, which is based on the fractional-order model (FOM), takes into account the various states of system components, including the impacted, degraded, and failed states. We proposed an effective framework to compute a more realistic system availability, even for real systems in which the effect of interdependence occurs. The proposed model is validated using a numerical example, which provides an evaluation of the interdependence effect on various system variables. Additionally, a set of managerial insights is formulated, providing practical implications for maintenance planning and decision-making in large multi-component production systems.
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Appendix A
Appendix A
Theorem 4
The sufficient condition for the existence and uniqueness of the solution of system (6) in the region \(\Omega \times [t_0,T]\) with initial conditions \(N(0)=(S(0), E(0), I(0), Q(0),H(0),R(0),S_t(0))\) and \(t \in [t_0,T]\) is:
Proof
Let \(X=(S,E,I,Q,H,R,S_t)^{T}\) and \(X^{'}=(S',E',I',Q',H',R',S_t')^{T}\) the system (6) can be written in this form:
where
To prove the global existence and uniqueness of system (6), consider the region \(\Omega \times [t_0,T]\),
where \(\Omega =\left\{ (S,E,I,Q,H,R,S_t)\in \mathbb {R}^{7}_+: \max \left\{ S,E,I,Q,H,R,S_t\right\} \le M, M>0\right\}\). For any \(X, X'\in \Omega\):
where
which proves this Lemma. \(\square\)
Thus, F(X) satisfies the Lipschitz’s condition [44] with respect to X.
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Bahou, Z., Lemnaouar, M.R. & Krimi, I. A dynamic availability analysis of an N-component production system with interdependency effects: a fractional-order approach. Prod. Eng. Res. Devel. 18, 99–115 (2024). https://doi.org/10.1007/s11740-023-01216-4
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DOI: https://doi.org/10.1007/s11740-023-01216-4