TY - CHAP A1 - Dai, Chenghao A1 - Schön, Maximilian A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Multi-Site Aggregate Production Planning With Resilience Consideration T2 - Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland N2 - The recent years have shown a high frequency of disruptions like natural disasters or manmade disruptions, leading, for example, to transport routes or production facilities being unavailable for extended periods. Many manufacturing companies, which nowadays operate in a global production network, are heavily exposed to these disruptions. This results in both significant costs and substantial exceeding of promised deadlines. If it concerns the first company in a supply chain, it causes correspondingly significant delays in promised deadlines for subsequent companies in the supply chain, including a correspondingly significant increase in costs. Both are exemplified in this paper through a case study. This case study demonstrates that through resilience, both implications can be significantly reduced. KW - Production Planning and Control KW - Aggregate Production Planning KW - Linear Programming KW - Multi-Site Production Planning and Control KW - Supply Chain Resilience Y1 - 2024 SN - 978-3-937436-84-5 U6 - https://doi.org/10.7148/2024-0345 SN - 2522-2422 SP - 345 EP - 351 PB - ECMS ER -