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A Neighborhood Sele...
A Neighborhood Selection Strategy for Production Scheduling using CP and LNS
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- Åstrand, Max (author)
- KTH,Reglerteknik,Automation Solutions, ABB Corporate Research, Västerås, Sweden
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- Johansson, Mikael (author)
- KTH,Reglerteknik
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2020
- 2020
- English.
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In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. - : Institute of Electrical and Electronics Engineers Inc.. ; , s. 1183-1186
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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
Publication and Content Type
- ref (subject category)
- kon (subject category)
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