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|a 9783540695165
|9 978-3-540-69516-5
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|a 10.1007/978-3-540-69516-5
|2 doi
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|a T57.6-.97
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|a 658.403
|2 23
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|a Brucker, Peter.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Scheduling Algorithms
|h [electronic resource] /
|c by Peter Brucker.
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|a 5th ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a XII, 371 p. 77 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Classification of Scheduling Problems -- Some Problems in Combinatorial Optimization -- Computational Complexity -- Single Machine Scheduling Problems -- Parallel Machines -- Shop Scheduling Problems -- Due-Date Scheduling -- Batching Problems -- Changeover Times and Transportation Times -- Multi-Purpose Machines -- Multiprocessor Tasks.
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|a Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multi-purpose machines are discussed. The methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for different classes of deterministic scheduling problems are summerized.
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|a Operations research.
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|a Management science.
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|a Production management.
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|a Operations Research and Decision Theory.
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|a Operations Research, Management Science .
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|a Operations Management.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540834700
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|i Printed edition:
|z 9783642089077
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|i Printed edition:
|z 9783540695158
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|u https://doi.uam.elogim.com/10.1007/978-3-540-69516-5
|z Texto Completo
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|a ZDB-2-SBE
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|a ZDB-2-SXBM
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|a Business and Economics (SpringerNature-11643)
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|a Business and Management (R0) (SpringerNature-43719)
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