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Project Scheduling with Time Windows
Project Scheduling with Time Windows
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Project Scheduling is concerned with the allocation of scarce resources over time. The rich optimisation models with time windows that are treated in this book cover a multitude of practical decision problems arising in diverse application areas such as construction engineering or make-to-order production planning.The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully combined with Operations Research methods for developing powerful exact and heuri…
  • Leidėjas:
  • Metai: 2002
  • Puslapiai: 166
  • ISBN-10: 3790815160
  • ISBN-13: 9783790815160
  • Formatas: 15.6 x 23.4 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

Project Scheduling with Time Windows (el. knyga) (skaityta knyga) | knygos.lt

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Project Scheduling is concerned with the allocation of scarce resources over time. The rich optimisation models with time windows that are treated in this book cover a multitude of practical decision problems arising in diverse application areas such as construction engineering or make-to-order production planning.
The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully combined with Operations Research methods for developing powerful exact and heuristic solution algorithms for a very general class of scheduling problems. Example applications demonstrate the effectiveness of the approach.

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  • Autorius: Ulrich Dorndorf
  • Leidėjas:
  • Metai: 2002
  • Puslapiai: 166
  • ISBN-10: 3790815160
  • ISBN-13: 9783790815160
  • Formatas: 15.6 x 23.4 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

Project Scheduling is concerned with the allocation of scarce resources over time. The rich optimisation models with time windows that are treated in this book cover a multitude of practical decision problems arising in diverse application areas such as construction engineering or make-to-order production planning.
The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully combined with Operations Research methods for developing powerful exact and heuristic solution algorithms for a very general class of scheduling problems. Example applications demonstrate the effectiveness of the approach.

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