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type_genre:"Handbook"
~accessRights:"restricted"
~isPartOf:"Annals of operations research ; volume 284, numbers 1 (January 2020)"
~isPartOf:"Big data analytics in operations and supply chain management"
~subject:"United States"
~type_genre:"Aufsatz im Buch"
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Annals of operations research ; volume 284, numbers 1 (January 2020)
Big data analytics in operations and supply chain management
The Practice and Theory of Automated Timetabline (2014)
3
The practice and theory of automated timetabling (2016)
3
Analyzing risk through probabilistic modeling in operations research
1
Annals of operations research ; volume 253, number 1 (June 2017)
1
Annals of operations research ; volume 258, number 2 (November 2017)
1
Annals of operations research ; volume 259, numbers 1/2 (December 2017)
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Annals of operations research ; volume 264, numbers 1/2 (May 2018)
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Operations research confronting the crisis
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Paths, pivots, and practice : the power of optimization
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Project management and scheduling
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ROADEF/EURO Challenge 2012 on the Machine Reassignment Problem
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Robustness analysis in decision aiding, optimization, and analytics
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Supply chain strategies and the engineer-to-order approach
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Polyhedral results for position-based scheduling of chains on a single machine
Horváth, Markó
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Kis, Tamás
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2020
Persistent link: https://www.econbiz.de/10012165576
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A cloud based job sequencing with sequence-dependent setup for sheet metal manufacturing
Ahmadov, Yashar
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Helo, Petri
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Big data analytics in operations and supply chain management
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(pp. 5-24)
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2018
Persistent link: https://www.econbiz.de/10011965323
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