Dear scheduling researcher, We are delighted to announce the talk given by Lixin Tang (Northeastern Uni, Shenyang). The title is "Data Analytics and Optimization for Production, Logistics and Energy Scheduling". The seminar will take place on Zoom on Wednesday, April 28 at 13:00 UTC. https://cesnet.zoom.us/j/93613611791?pwd=QlRuZitWcU9tb1dTNGorUGtab1MyUT09 Meeting ID: 936 1361 1791 Passcode: 193553 The number of participants on Zoom is limited. Therefore, you can follow the seminar online or offline on our Youtube channel as well: https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A The abstract follows. This talk discusses some interesting topics on scheduling and data analytics of production, logistics and energy in the steel industry, including: 1) production batching and scheduling in steelmaking/continuous casting, and hot/cold rolling operations; 2) logistics scheduling in storage/stowage, shuffling, transportation and (un)loading operations; 3) energy optimization including energy allocation, coordinated planning and scheduling of production and energy; 4) data based analytics, including dynamic analytics of BOF steelmaking process based on multi-stage modeling; temperature prediction of blast furnace; temperature prediction of molten iron in transportation process; energy analytics for estimation, prediction of generation and consumption, diagnosis and benchmarking; temperature prediction of reheat furnace based on mechanism and data; strip quality analytics of continuous annealing based on multi-objective ensemble learning; process monitoring and diagnosis of continuous annealing based on mechanism and data. The next seminar in our series will be given by Martin Skutella (TU Berlin) "Efficient Algorithms and Provably Good Solutions for NP-hard Scheduling Problems" and it will be held on Wednesday, May 12 at 13:00 UTC. For more details please visit https://schedulingseminar.com/ With kind regards Zdenek, Mike and Guohua