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Scheduling of Resource-Constrained Projects (Hardcover, 2000 ed.)
Loot Price: R5,651
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Scheduling of Resource-Constrained Projects (Hardcover, 2000 ed.)
Series: Operations Research/Computer Science Interfaces Series, 10
Expected to ship within 10 - 15 working days
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Project management has become a widespread instrument enabling
organizations to efficiently master the challenges of steadily
shortening product life cycles, global markets and decreasing
profit margins. With projects increasing in size and complexity,
their planning and control represents one of the most crucial
management tasks. This is especially true for scheduling, which is
concerned with establishing execution dates for the sub-activities
to be performed in order to complete the project. The ability to
manage projects where resources must be allocated between
concurrent projects or even sub-activities of a single project
requires the use of commercial project management software
packages. However, the results yielded by the solution procedures
included are often rather unsatisfactory. Scheduling of
Resource-Constrained Projects develops more efficient procedures,
which can easily be integrated into software packages by
incorporated programming languages, and thus should be of great
interest for practitioners as well as scientists working in the
field of project management. The book is divided into two parts. In
Part I, the project management process is described and the
management tasks to be accomplished during project planning and
control are discussed. This allows for identifying the major
scheduling problems arising in the planning process, among which
the resource-constrained project scheduling problem is the most
important. Part II deals with efficient computer-based procedures
for the resource-constrained project scheduling problem and its
generalized version. Since both problems are NP-hard, the
development of such procedures which yield satisfactory solutions
in a reasonable amount of computation time is very challenging, and
a number of new and very promising approaches are introduced. This
includes heuristic procedures based on priority rules and tabu
search as well as lower bound methods and branch and bound
procedures which can be applied for computing optimal solutions.
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