Scheduling seminar

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schedulingseminar@rtime.felk.cvut.cz

April 2021

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Lixin Tang (NEU) | April 28 | Data Analytics and Optimization for Production, Logistics and Energy Scheduling
by Zdeněk Hanzálek 23 Apr '21

23 Apr '21

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

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Mor Harchol-Balter (CMU) | April 14 | Recent Breakthroughs in Stochastic Scheduling Theory
by Zdeněk Hanzálek 07 Apr '21

07 Apr '21

Dear scheduling researcher, We are delighted to announce the second seminar in our new Scheduling Seminars Series (see https://schedulingseminar.com/ ). It will be given by Mor Harchol-Balter (Carnegie Mellon University). The title is "Recent Breakthroughs in Stochastic Scheduling Theory". The seminar will take place on Zoom on Wednesday, April 14 at 13:00 UTC. https://cesnet.zoom.us/j/96341182746?pwd=MTFsNDE0V01UK091ZVdLdEVNN0JaQT09 Meeting ID: 963 4118 2746 Passcode: 898539 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 considers stochastic scheduling, where job sizes and arrival times are drawn from a distribution. As empirical job size variability has skyrocketed, stochastic scheduling research has grown increasingly important. What scheduling policies should we use to keep response times low? How should we schedule when job sizes are unknown or only partially known? What scheduling policies should we use in a multi-server (M/G/k) setting, as compared with a single-server (M/G/1) setting? How can we analyze the response times of scheduling policies in single-server and multi-server settings? In this talk, we discuss recent breakthroughs over the last 3 years in the area of stochastic scheduling. These include: (1) The SOAP scheduling framework, which greatly expands the class of scheduling policies whose response times we can now analyze in the M/G/1 setting. (2) The first response time analysis of common scheduling policies in the M/G/k. (3) Asymptotically optimal scheduling in the M/G/k. Joint work with: Ziv Scully, Isaac Grosof The third seminar in our series will be given by Lixin Tang (NorthEastern University in ShenYang, China) "Data Analytics and Optimization for Production, Logistics, and Energy Scheduling" and it will be held on April 28 at 13:00 UTC. For more information, please visit our webpage https://schedulingseminar.com/ With kind regards Zdenek, Mike and Guohua

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