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[项目管理] Perspectives in Modern Project Scheduling [推广有奖]

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International Series in Operations Research & Management Science
Volume 92 2006
Perspectives in Modern Project Scheduling Perspectives in Modern Project Scheduling Editors:
ISBN: 978-0-387-33643-5 (Print) 978-0-387-33768-5 (Online)

  • About this book
Operations Research began with the mathematical scheduling of a massive project—logistically supplying Europe with military equipment and goods during the WWII. Today project scheduling research continues growing in a variety of its theoretical models, in its magnitude and application. As the world becomes more interrelated and complex, the wider its research is applied to an increasing number of project scheduling problems.
This book 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 summarizes the current developments and theoretical achievements in the field, including project uncertainty and grid resource management.

Table of contents Part I: 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.- RCPSP with variable intensity activities and feeding precedence constraints.- Modelling setup times in project scheduling.- Part II: Algorithms.- Lower bounds for resource constrained project scheduling problem.- Justification technique generalisations.- A metaheuristics 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 resource-constrained project scheduling.- Resource constrained project scheduling: A hybrid neural approach.- Part III: 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.- Index.




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