SwePub
Sök i LIBRIS databas

  Utökad sökning

onr:"swepub:oai:DiVA.org:hj-63653"
 

Sökning: onr:"swepub:oai:DiVA.org:hj-63653" > An open challenge f...

An open challenge for exact job scheduling with reticle batching in photolithography

Eiter, Thomas (författare)
Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria
Geibinger, Tobias (författare)
Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria
Gisbrecht, Andrej (författare)
Robert Bosch GmbH, Reutlingen, Germany
visa fler...
Ruiz, Nelson Higuera (författare)
Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria
Musliu, Nysret (författare)
Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria; CD-Lab Artis, TU Wien, Vienna, Austria
Oetsch, Johannes (författare)
Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria
Stepanova, Daria (författare)
Bosch Center for AI, Robert Bosch Campus 1, Renningen, Germany
visa färre...
 (creator_code:org_t)
Association for the Advancement of Artificial Intelligence, 2022
2022
Engelska.
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • We consider scheduling solutions for photolithography, an important sub-task in semi-conductor production, where patterns are transferred to wafers using reticles. The problem can be modelled as job scheduling on unrelated parallel machines with sequence-dependent setup times and release dates. The reticles add auxiliary-resource constraints for processing jobs. Equipping machines with the right reticles using transport robots from stockers in time renders this problem extremely difficult for exact solvers that use a declarative model. The latter would be attractive as such models tend to be compact and easy to maintain. We present a solver-independent MiniZinc model and provide 500 new benchmark instances. However, only small instances can be solved with state-of-the-art MIP and CP solvers. Consequently, we present this problem as an open challenge with considerable potential for driving improvements towards industrial applications.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy