Operations Research began as a field with the mathematical
scheduling of a massive projecta "logistically supplying Europe
with military equipment and goods during the 2nd World War. Today
project scheduling research continues to grow in the variety of its
theoretical models, in its magnitude, and in its application. As
the world becomes more interrelated and complex, the wider its
research is applied to an increasing number of project scheduling
problems.
The book surveys the current state-of-the-art in this realm of
operations research with chapters written by the respective leading
experts on each topic. It will cover 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
systematically examined. The book summarizes the current
developments and theoretical achievements in the field. These new
developments include project uncertainty and grid resource
management.
PERSPECTIVES IN MODERN PROJECT SCHEDULING systematically
presents this dynamically developing area in three parts. Part I
discusses new models of the project management process that are
being developed. They include an alternative to the well-known PERT
technique, consideration of disturbances during the project
realization, introduction of new constraints like due dates or
setup times, as well as a general discussion on classification of
resources.
Part II outlines and evaluates the new algorithms that have been
developed to solve the strongly NP-hard resource constrained
project scheduling efficiently with acceptable accuracy. New
lowerbounds for the RCPSP are proposed, followed by smart
justification technique and a series of Metaheuristics. Finally, a
neural network approach is introduced.
Part III is devoted to new areas of applications of the project
management models and the algorithms a" for example, pharmaceutical
research, grid computing, factory pick-up of new cars, batch
scheduling in process industries and make-to-order (project driven)
manufacturing a" that have been developed to solve project
scheduling problems in these application areas.
The book will be of interest to academics and students in
project management and scheduling in Business Schools, Operations
Research/Management Science, Computer Science & Engineering,
Systems Analysis, and Applied Mathematics. In addition, decision
makers, consultants and practitioners in industry, government and
service organizations will also be interested in this book.
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