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A Case Study Concept for Supply Chain Resilience Analysis

Authors:
Frank Schätter
Florian Haas
Frank Morelli

Keywords: supply chain resilience; supply chain data modelling and simulation; key resilience areas; process mining

Abstract:
In times of crisis, the strong characteristic of a supply chain to be resilient is an important success factor. However, logistics structures are complex, and it is difficult for companies to assess where the vulnerable and, thus, critical parts of the supply chain are located. To provide an applicable and easy-to-use method, a two-step approach of resilience analysis was developed. This paper introduces a case study illustrating the different steps of this approach and gives an outlook with a focus on process mining.

Pages: 63 to 68

Copyright: Copyright (c) IARIA, 2022

Publication date: October 16, 2022

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-68558-001-8

Location: Lisbon, Portugal

Dates: from October 16, 2022 to October 20, 2022