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A Neighborhood Selection Strategy for Production Scheduling using CP and LNS

Åstrand, Max (author)
KTH,Reglerteknik,Automation Solutions, ABB Corporate Research, Västerås, Sweden
Johansson, Mikael (author)
KTH,Reglerteknik
 (creator_code:org_t)
Institute of Electrical and Electronics Engineers Inc. 2020
2020
English.
In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. - : Institute of Electrical and Electronics Engineers Inc.. ; , s. 1183-1186
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • High-quality production scheduling is increasingly important in modern industry operations. We study a class of scheduling problems where jobs take place at predefined locations, as is common in mining, forestry and logistics. The proposed neighborhood selection algorithm is able to find high- quality solutions fast and guarantees that a globally optimal solution is eventually found. Preliminary results are promising.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering (hsv//eng)

Keyword

constraint programming
large neighborhood search
production scheduling
Factory automation
Production control
High quality
High-quality solutions
Industry operations
Optimal solutions
Scheduling problem
Selection algorithm
Scheduling

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ref (subject category)
kon (subject category)

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