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A Supply Chain Disruption Framework for Discrete Event Simulation

Authors:
Andrew Greasley
Daniel Chicksand

Keywords: supply chain disruption, discrete event simulation

Abstract:
This article presents a supply chain disruption framework for discrete event simulation based on the analysis of the prior literature. The aim is to develop a better understanding of the elements that are required to meet the challenge of using discrete event simulation in this application. The framework identifies the main elements in terms of the disruption event, supply chain configuration, supply chain resilience and supply chain performance metrics. The review also identifies challenges for the use of discrete-event simulation in this way including the representation of rare disruption events and time-series interpretation of disruption events.

Pages: 40 to 43

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-68558-102-2

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023