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Model-Based Control of Logistics Processes in Volatile Environments - Decision Support for Operations Planning in Supply Consortia (Hardcover, 2011 ed.)
Loot Price: R2,789
Discovery Miles 27 890
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Model-Based Control of Logistics Processes in Volatile Environments - Decision Support for Operations Planning in Supply Consortia (Hardcover, 2011 ed.)
Series: Operations Research/Computer Science Interfaces Series, 50
Expected to ship within 10 - 15 working days
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Total price: R2,809
Discovery Miles: 28 090
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This monograph presents results originating from a research project
investigating autonomous adaptation of vehicle schedules and
systematically develops and evaluates innovative ideas for the
management of transportation processes in volatile scenarios.
Showing the progress made in the development of the methodological
toolbox for decision support in dynamic process management is the
major motivation behind this book. The result is a new integrated
approach to dynamic decision making. Existing process planning
approaches for volatile environments and their application
boundaries are investigated in Part I. Part II introduces the
concept of feedback-controlled adaptive decision models and
proposes the required extensions of the online decision making
framework and of multi-agent systems. A comprehensive evaluation of
the proposed decision model adaptation framework based on
computational simulation experiments is reported in Part III and
demonstrates the predominance of the new approach. Distinguishing
features of this book are: -It provides the first contribution to
the operational management of processes in supply networks that
explicitly addresses the two challenges of dynamics and distributed
decision making simultaneously. -It systematically approaches the
limits of model-based process planning but also proposes methods to
extend the application boundaries. -Software prototypes are
developed and a comprehensive evaluation within numerical
simulation experiments is executed. -The observed results are
discussed with an explicit focus on specific performance indicators
(flexibility, stability and robustness). -The strict
interdisciplinary approach merging the requirements and needs of
management sciences, operations research and computer sciences is
pursued throughout the book.
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