Abstract
The ability to timely and efficiently satisfy customer requests is one of the most important competitive advantages of any organization. A valuable and effective tool to achieve this is the competent modeling and optimization of supply chains. Modeling is complicated by the often encountered combination of external and internal uncertainties, which significantly affects the planning of the optimal allocation of resources. In this paper, we solve the problem of constructing an optimization model of a supply chain with random demand, close to real life. A supply chain model with external and internal uncertainty was built and checked for correctness. In the paper, we model all stages of production taking into account the randomness of demand and possible disruptions at every stage.
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Kalin, S.A., Lezhnina, E.A., Vlasova, T.V. (2022). Supply Chain Model with Random Demand. In: Smirnov, N., Golovkina, A. (eds) Stability and Control Processes. SCP 2020. Lecture Notes in Control and Information Sciences - Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-87966-2_65
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DOI: https://doi.org/10.1007/978-3-030-87966-2_65
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