Using digital twins for inventory and cash management in supply chains

被引：8

作者：

Badakhshan, Ehsan ^{[1
]}

Ball, Peter ^{[1
]}

Badakhshan, Ali ^{[2
]}

机构：

[1] Univ York, Management Sch, York, N Yorkshire, England

[2] Sharif Univ Technol, Ind Engn Dept, Tehran, Iran

来源：

IFAC PAPERSONLINE | 2022年 / 55卷 / 10期

基金：

英国工程与自然科学研究理事会;

关键词：

Digital twins; Machine learning; Cash flow management; Simulation; Inventory management; BULLWHIP;

D O I：

10.1016/j.ifacol.2022.09.689

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we investigate the potential of a supply chain (SC) digital twin framework to help decision makers in managing inventory and cash flows throughout the SCs. The proposed SC digital twin framework integrates machine learning (ML) and simulation to identify the inventory replenishment policies that minimize the cash conversion cycle of an SC, currently absent from the literature. The results show that the upstream member of an SC plays a pivotal role in mitigating the bullwhip effect and consequently minimizing the cash conversion cycle of the SC. Copyright (C) 2022 The Authors.

引用

页码：1980 / 1985

页数：6

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[2]

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Badakhshan, Ehsan ;

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