picture: Dr. Larry Snyder, a professor of commercial engineering and co-director of Lehigh’s Institute for Data, Intelligent Systems, and Computation (I-DISC), serves as a co-organizer of the Machine Learning & Supply Chain Management Workshop at Lehigh, December 13-14, 2021. The occasion is supported by the National Science Foundation’s TRIPODS+X program.
Credit: courtesy Lehigh University
Over the previous 18 months of stories reporting and widespread dialogue, the phrase “international provide chain” has been as distinguished because it has ever been.
Pandemic-borne tales abound: empty cabinets at the native Costco, container ships aimlessly circling the Pacific searching for an accessible port of California entry, automotive salespeople enjoying cornhole in dealership showrooms as a result of there are merely no vehicles on the lot to promote. Not to point out the impression it can all have on households, and the retailers who depend on them, because the upcoming vacation buying season approaches.
With this international disaster swirling within the backdrop, Lehigh University’s Institute for Data, Intelligent Systems, and Computation (I-DISC), with assist from the National Science Foundation’s TRIPODS+X program, is convening a bunch of high researchers from throughout the nation and around the globe to discover modern approaches to strengthening the worldwide provide chain.
On December 13-14, 2021, preeminent researchers within the fields of synthetic intelligence and provide chain administration will gather at Lehigh’s Iacocca Hall for the “TRIPODS+X Workshop on Machine Learning & Supply Chain Management,” that includes audio system from academia and trade, to foster a vibrant change of concepts and to stimulate new collaborations. The workshop will characteristic a dozen invited audio system, a poster session for college students, and a panel dialogue to promote additional exploration at the intersection of those converging fields. Academic, trade, and authorities researchers centered on provide chain and logistics, synthetic intelligence and machine studying, or related fields are invited to attend.
“Most of the distinguished current purposes of machine studying for provide chains had been centered on descriptive or predictive analytics,” says Larry Snyder, a professor of commercial and programs engineering at Lehigh and co-director of I-DISC, who serves as a co-organizer of the TRIPODS+X occasion. “For instance, clustering strategies have been used to phase clients or suppliers in a descriptive method, and deep neural networks have been utilized predictively to forecast demand. We are taking a little bit of a unique course: the main focus of our workshop is on using machine studying for prescriptive analytics throughout the provide chain—on utilizing the ability of machine studying not simply to analyze, however to optimize, effectivity and resiliency throughout the gloabl provide chain.”
Invited audio system embody the next:
Joren Gijsbrechts, Universidade Católica Portuguesa, Portugal
Andrea Lodi, Cornell Tech
Polly Mitchell-Guthrie, Kinaxis
Richard Pibernik, Julius-Maximilians-University, Germany
Cynthia Rudin, Duke University
Zuo-Jun Max Shen, University of Calfornia-Berkeley
David B. Shmoys, Cornell University
Jiankun Sun, Imperial College London, UK
Martin Takáč, Lehigh University
Barrett Thomas, University of Iowa
Michael Watson, Coupa Software
The workshop is being organized and hosted by Lehigh’s Institute for Data, Intelligent Systems, and Computation (I-DISC), with suport from the National Science Foundations a TRIPODS+X program.
For extra data or to register, go to https://go.lehigh.edu/tripods.
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