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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Supply chain resilience management using process mining |
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Authors: |
Frank Schaetter, Frank Morelli, Florian Haas |
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Published in:
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(2022). ECMS 2022,
36th Proceedings DOI: http://doi.org/10.7148/2022 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-77-7 Communications of the ECMS , Volume 36, Issue 1, June 2022, Ålesund, Norway May 30th - June 3rd, 2022 |
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Citation
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Frank Schaetter, Frank Morelli, Florian Haas (2022). Supply chain resilience management using process mining, ECMS 2022 Proceedings Edited By: Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat, European Council for Modeling and Simulation. doi:10.7148/2022-0121 |
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DOI: |
https://doi.org/10.7148/2022-0121 |
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Abstract: |
Recent events such as the Coronavirus Pandemic or the disruption of the Suez Canal have shown how vulnerable supply chains can be and have led to an increased focus on resilience analysis by companies. We believe that all the data needed to understand the resilience status of a supply chain and identify opportunities for improvement already exists within companies. Therefore, we provide an approach to guide decision makers in this regard. We propose to first perform a rough resilience analysis using a limited set of transactional data. This analysis is based on key resilience areas to identify vulnerable elements of the supply chain that should be further investigated in terms of specific entities, transport relations, and materials. Based on these elements, process mining becomes a promising approach to understand the underlying actions, problems, and possible bottlenecks and to reveal improvement strategies. |
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