Scheduling seminar

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schedulingseminar@rtime.felk.cvut.cz

February 2023

1 participants
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Hyun-Jung Kim (KAIST) | March 1 | Scheduling with Machine Learning
by Zdeněk Hanzálek 27 Feb '23

27 Feb '23

Dear scheduling researcher, We are delighted to announce the talk given by Hyun-Jung Kim (KAIST). The title is "Scheduling with Machine Learning". The seminar will take place on Zoom on Wednesday, March 1 at 14:00 UTC. Join Zoom Meeting https://cesnet.zoom.us/j/95707763175?pwd=aTdmWDN1RG0ySlk0a1dZWUdUdXZJUT09 Meeting ID: 957 0776 3175 Passcode: 047586 You can follow the seminar online or offline on our Youtube channel as well: https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A The abstract follows. Manufacturing companies have recently shown a growing interest in using machine learning to improve scheduling problems. In this talk, we will present three real-life industrial scheduling problems faced by industries with a specific focus on the application of machine learning. First, in semiconductor manufacturing, multiple weighted dispatching rules are used to determine a sequence of jobs. Engineers assign these weights based on their previous experience. We propose a machine learning approach to determine the best weight set for all rules, especially when there is not enough time to derive it. Second, we propose an integration method of machine learning and mathematical formulation for scheduling problems in steel manufacturing. This approach reflects the engineers’ preferences and improves the performance of scheduling at the same time. Finally, we will present a hybrid flow shop scheduling problem for insulation manufacturing where machine learning with the NEH algorithm has been applied. We will also discuss the challenges of implementing machine learning or other heuristic algorithms in practical settings. The next talk in our series will be: Xiangtong Qi (HKUST) | March 15 | Cooperative Games Models for Scheduling Problems. For more details, please visit https://schedulingseminar.com/ With kind regards Zdenek, Mike and Guohua -- Zdenek Hanzalek Industrial Informatics Department, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic https://rtime.ciirc.cvut.cz/~hanzalek/

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Vincent T’kindt (University of Tours) | February 15 | The Marriage of Matheuristics and Scheduling
by Zdeněk Hanzálek 13 Feb '23

13 Feb '23

Dear scheduling researcher, We are delighted to announce the talk given by Vincent T’kindt (University of Tours). The title is "The Marriage of Matheuristics and Scheduling". The seminar will take place on Zoom on Wednesday, February 15 at 14:00 UTC. Join Zoom Meeting https://cesnet.zoom.us/j/91263922505 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 is about the heuristic solution of scheduling problems by means of heuristics based on mathematical programming, well-known under the name of matheuristics. Whatever they are used to build or improve a solution, they always take advantage of mathematical programming in order to efficiently solve some subproblems. Matheuristics have been introduced in the literature during the last decade especially to solve routing problems. Few is known about their application to machine scheduling problems. I will introduce to different forms of matheuristics and give a feedback on the solution of some scheduling problems, making also an outing in the land of machine learning. The next talk in our series will be: Hyun-Jung Kim (KAIST) | March 1 | Scheduling with Machine Learning. For more details, please visit https://schedulingseminar.com/ With kind regards Zdenek, Mike and Guohua -- Zdenek Hanzalek Industrial Informatics Department, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic https://rtime.ciirc.cvut.cz/~hanzalek/

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