Model-Based Control of Logistics Processes in Volatile Environments [recurso electrónico] : Decision Support for Operations Planning in Supply Consortia / by Jörn Schönberger.

Por: Schönberger, Jörn [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Operations Research/Computer Science Interfaces Series ; 50Editor: New York, NY : Springer New York, 2011Descripción: XII, 184 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441996824Tema(s): Economics | Economics/Management Science | Operations Research/Decision Theory | Operations Research, Management Science | Production/Logistics/Supply Chain ManagementFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: Libro electrónicoTexto
Contenidos:
Process Planning in Supply Consortia -- Transport Processes and Uncertainty -- Decision Support: Applying the State-of-the-Art -- Decision Support in Principal-Agent-Relationships -- Adaptive Controllers for Mathematical Optimization Models -- Responsiveness Improvement -- Nervousness Reduction in Re-Scheduling -- Impacts on Robustness -- Summary and Conclusions.
En: Springer eBooksResumen: 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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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos HD30.23 (Browse shelf(Abre debajo)) 1 No para préstamo 372277-2001

Process Planning in Supply Consortia -- Transport Processes and Uncertainty -- Decision Support: Applying the State-of-the-Art -- Decision Support in Principal-Agent-Relationships -- Adaptive Controllers for Mathematical Optimization Models -- Responsiveness Improvement -- Nervousness Reduction in Re-Scheduling -- Impacts on Robustness -- Summary and Conclusions.

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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