TY - CHAP A1 - Eschenbächer, Jens A1 - Kühl, Linus A1 - Wiethölter, Jost T1 - Initial Approach for Data Mining in Logistics: software supported prognosis exemplified by delivery damage probabilities depending on different factors T2 - Proceedings of the 26th International Symposium on Logistics Y1 - 2022 UR - https://www.islconf.org/wp-content/uploads/2022/08/ISL-2022-PROCEEDINGS-1.pdf SN - 13 978-0-85358-350-9 SP - 32 EP - 32 ER - TY - CHAP A1 - Eschenbächer, Jens A1 - Wiethölter, Jost A1 - Kühl, Linus T1 - Data-driven supply chain analysis: Development and potential analysis of a model-based damage prediction approach and its integration into SCM T2 - Proceedings of the 27th International Symposium on Logistics N2 - Against the setting of an increasing need for innovation and low margins, companies in the logistics sector are facing highly competitive pressure. One field with high potential for optimization lies within damage quotas. The use of big data analytics or data mining represents a promising approach to face this challenge. However, within supply chain management, data mining is hardly being researched on regarding damage quotas and thus not being utilized to its full possible extend. At the current time it seems to predominantly be used for route and utilization optimization while the analysis of delivery damages is hardly considered. The aim of this research is therefore to showcase an initial approach for data mining in logistics to predict delivery damage probabilities and to validate this by means of a multiple case study research. To create a sound basis for evaluation, the groundwork is laid out based on CRISP-DM by the analysis of reference data (German road-cargo market). As a central result it is noted that data mining can systematically be used to help reducing the damages by forecasting the probabilities of damages occurring during transport in dependence of different factors. The approach can be utilized across different markets as long as sufficient data tracking delivery damages is being collected within a company. Challenges arise in the field of air- and sea-freight. Y1 - 2023 UR - https://www.islconf.org/wp-content/uploads/2023/07/ISL_2023_Final_Proceedings.pdf SN - 13 978-0-85358-352-3 SP - 136 EP - 144 ER - TY - CHAP A1 - Eschenbächer, Jens A1 - Dircksen, Michael A1 - Kühl, Linus A1 - Wiethölter, Jost T1 - Initial approach for AI-based real time global risk assessment in SCM T2 - Proceedings of the 27th International Symposium on Logistics Y1 - 2023 UR - https://www.islconf.org/wp-content/uploads/2023/07/ISL_2023_Final_Proceedings.pdf SN - 13 978-0-85358-352-3 SP - 75 EP - 76 ER - TY - CHAP A1 - Kühl, Linus A1 - Wiethölter, Jost A1 - Dircksen, Michael T1 - Enhancing Supply Chain Risk Identification: Analyzing the Impact of LLM Parameters for precise Classification T2 - Building sustainable connectivity through logistics and supply chains : proceedings of the 28th International Symposium on Logistics (ISL 2024) : 07-10th July 2024 N2 - This study investigates the impact of Large Language Model (LLM) parameters, specifically temperature and top P, on Supply Chain Risk Detection (SCRD). With a heightened focus on Supply Chain Risk Management (SCRM) using AI, the research employs a Design of Experiments (DoE) approach. The results reveal optimal temperature values for valid assessments in SCRD applications. The study emphasizes the importance of tailored LLM parameter settings, contributing insights for future research and practical applications in enhancing supply chain resilience. Suggestions for incorporating Response Surface Methodology (RSM) and refining the process are proposed for further investigation. KW - Artificial Intelligence KW - Large Language Model KW - Data Analytics KW - Design of Experiments KW - Logistics Y1 - 2024 UR - https://www.islconf.org/wp-content/uploads/2024/07/ISL_2024_Proceedings_Final.pdf SN - 978-0-85358-354-7 SP - 197 EP - 205 PB - Centre for Concurrent Enterprise, Nottingham University Business School CY - Nottingham, UK ER - TY - CHAP A1 - Wiethölter, Jost A1 - Kühl, Linus T1 - Supply Network Mapping: Development of a region-centric Approach T2 - Building sustainable connectivity through logistics and supply chains : proceedings of the 28th International Symposium on Logistics (ISL 2024) : 07-10th July 2024 KW - Mapping KW - Analytics KW - Logistics Y1 - 2024 UR - https://www.islconf.org/wp-content/uploads/2024/07/ISL_2024_Proceedings_Final.pdf SN - 978-0-85358-354-7 SP - 101 EP - 102 PB - Centre for Concurrent Enterprise, Nottingham University Business School CY - Nottingham, UK ER -