Buch, Englisch, Band 92, 444 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 709 g
Reihe: International Series in Operations Research & Management Science
Buch, Englisch, Band 92, 444 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 709 g
Reihe: International Series in Operations Research & Management Science
ISBN: 978-1-4419-4144-2
Verlag: Springer US
Project Scheduling: Surveying the State-of-the-Art surveys the current state-of-the-art in operations research with chapters written by the respective leading experts on each topic. It covers the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources. Recent solution algorithms are systematical examined. The book summarize sthe current developments and theoretical achievements in the field, including project uncertainty and grid resource management.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
- Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
Weitere Infos & Material
Models.- A Practical and Accurate Alternative to PERT.- Proactive-Reactive Project Scheduling Trade-Offs and Procedures.- Resource Constrained Project Scheduling Models under Random Disturbances.- Due Dates and RCPSP.- RCPS with Variable Intensity Activities and Feeding Precedence Constraints.- Modelling Setup Times in Project Scheduling.- Algorithms.- Lower Bounds for Resource Constrained Project Scheduling Problem.- Justification Technique Generalizations.- A Metaheuristic Approach to the Resource Constrained Project Scheduling with Variable Activity Durations and Convex Cost Functions.- A Hybrid Genetic Algorithm Based on Intelligent Encoding for Project Scheduling.- Population Learning Algorithm for the Resource-Constrained Project Scheduling.- Resource Constrained Project Scheduling: a Hybrid Neural Approach.- Applications.- Selection and Scheduling of Pharmaceutical Research Projects.- Grid Multicriteria Job Scheduling with Resource Reservation and Prediction Mechanisms.- Resource-Constrained Project Scheduling with Time Windows.- CP-Based Decision Support for Project Driven Manufacturing.