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
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