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research:projects:vanderlande:process_mining_in_logistics_-_a_need_for_multi-dimensional_analytics [2018/10/29 15:47]
dfahland
research:projects:vanderlande:process_mining_in_logistics_-_a_need_for_multi-dimensional_analytics [2018/10/30 10:36] (current)
dfahland
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 //This post is part of the '​Insights'​ obtained in the [[research:​projects:​vanderlande|Process Mining in Logistics]] project between TU Eindhoven and Vanderlande where we develop process mining technology for logistics systems.// //This post is part of the '​Insights'​ obtained in the [[research:​projects:​vanderlande|Process Mining in Logistics]] project between TU Eindhoven and Vanderlande where we develop process mining technology for logistics systems.//
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 Logistics systems form a network of processes, cases, and objects that interact with each other in a multi-dimensional fashion: Multiple cases synchronize at batching and de-batching steps, multiple objects may queue in high-load situations over multiple processing steps, and the routing decisions for each object depend not only on its case, but also on the load in other system parts. The aim of the [[research:​projects:​vanderlande|Process Mining in Logistics]] project is to provide fact-driven process analytics for such multi-dimensional dynamics. Logistics systems form a network of processes, cases, and objects that interact with each other in a multi-dimensional fashion: Multiple cases synchronize at batching and de-batching steps, multiple objects may queue in high-load situations over multiple processing steps, and the routing decisions for each object depend not only on its case, but also on the load in other system parts. The aim of the [[research:​projects:​vanderlande|Process Mining in Logistics]] project is to provide fact-driven process analytics for such multi-dimensional dynamics.