A Simulation-Based Inventory Management Approach for Divergent Multi-echelon Systems

Despoina Ntio (), Giorgos Varlas, Mihael Vidalis and Stavros Kalogiannidis
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Despoina Ntio: University of Western Macedonia
Giorgos Varlas: University of Aegean
Mihael Vidalis: University of Aegean
Stavros Kalogiannidis: University of Western Macedonia

Chapter Chapter 23 in Advances in Applied Macroeconomics, 2025, pp 441-450 from Springer

Abstract: Abstract This paper studies a multi-echelon divergent supply network common in the downstream supply chain (Diks EB, de Kok AG, Lagodimos A, Eur J Oper Res 95:241–263, 1996). It is a two-stage pull network; the first stage includes one saturated supplier manufacturing an identical product and distributing it to five retailers (the second stage of the network). The system under consideration assumes stochastic demand, stochastic transportation times, and lost sales in case of stockout. This work aims to optimize the system’s performance. The ARENA simulation software is used for modeling and studying the system.

Keywords: Multi-echelon inventory system; Divergent inventory systems; Simulation; Inventory optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-76658-9_23

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DOI: 10.1007/978-3-031-76658-9_23

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