METHODS OF RELIABILITY MANAGEMENT IN SUPPLY CHAIN

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Abstract

The main problem of choosing an adequate method of managing the reliability of supply chains is that for both participants and consumers all the main properties of an effective supply chain (failure, economy and security of supply) are equally relevant. Therefore, it is necessary to jointly use the tools of reliability theory, planning methods built on the basis of operation research and risk management methods. The work considers mathematical models and methods for assessing and improving the reliability of supply chains and proposes an algorithm for calculating the reliability of supplies that corresponds to the exponential and normal laws of the distribution of failure intensity. According to the algorithm, on the example of the supply chain of spare parts of the “Sfera-Auto” enterprise, the reliability indicators of the supply chain were calculated, namely: failure time, failure intensity, average recovery time, recovery intensity and probability of failure-free delivery, and changes in the probability of failure-free operation P(t) chain. The results of the study showed that: the increase in the probability of failure-free operation P for the period (t) characterizes the higher reliability of the supply chain for any type of supply probability distribution; – the point values of the coefficient of failure of supply Kg and the value of supply reliability in supply P do not give a complete picture of the reliability of the supply chain, it is necessary to study the dynamics of these indicators; – it is necessary to choose a theoretical distribution for the failure intensity λ(t), because the exponential distribution, which is widely used for modeling the reliability of nonrenewable systems, is not well suited for modeling the reliability of renewable systems.

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APA

Zagurskiy, O., Pivtorak, M., Bondariev, S., Demin, O., & Kolosok, I. (2023). METHODS OF RELIABILITY MANAGEMENT IN SUPPLY CHAIN. In Engineering for Rural Development (Vol. 22, pp. 78–84). Latvia University of Life Sciences and Technologies. https://doi.org/10.22616/ERDev.2023.22.TF013

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