
Adaptive Search and the Management of Logistic Systems
Base Models for Learning Agents
Christian Bierwirth(Author)
Springer (Publisher)
Published on 3. September 2012
Book
Paperback/Softback
XIII, 219 pages
978-1-4613-4679-1 (ISBN)
Description
Global competition and growing costumer expectations force indus trial enterprises to reorganize their business processes and to support cost-effective customer services. Realizing the potential savings to be gained by exacting customer-delivery processes, logistics is currently sub ject to incisive changes. This upheaval aims at making competitive ad vantage from logistic services instead of viewing them simply as business necessity. With respect to this focus logistics management comprises the process of planning, implementing, and controlling the efficient, effective flow and storage of goods and services, and related information from point of origin to point of consumption for the purpose of conforming customer requirements I . This definition implies a holistic view on the logistic network, where the actors are suppliers, manufacturers, stock keepers, shipping agents, distributors, retailers and finally consumers. The flow of goods along the supply chain considers raw-materials, work-in-process parts, intermedi ate and finished products, and possibly waste. The prevailing manage ment of logistics operation is driven by aggregated forecasting of these material flows. Modern logistics management propagates a disaggregated view of the material flow in order to meet the precise requirements at the interface between actors in the supply chain. Replacing aggregated information by detailed values establishes the prerequisites for an integrated process planning which goes for the shift from anticipatory towards response based logistic81. Smaller units of goods are considered at shorter periods for planning, implementing and controlling the material flow. From Icf. the Council of Logistics Management (1995).
More details
Series
Edition
Softcover reprint of the original 1st ed. 2000
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIII, 219 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
365 gr
ISBN-13
978-1-4613-4679-1 (9781461346791)
DOI
10.1007/978-1-4419-8742-6
Schweitzer Classification
Other editions
Additional editions

Christian Bierwirth
Adaptive Search and the Management of Logistic Systems
Base Models for Learning Agents
Book
12/1999
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
I Fundamentals of Evolutionary Adaptive Systems.- 1. From Artificial to Computational Intelligence.- 2. Principles of Systems.- 3. Genetic Algorithms.- 4. Adaptation to Static Environments.- 5. Adaptive Agents.- II Applications of Evolutions Adaptive Systems.- 6. Problem Representation in Logistics Systems.- 7. Adaptive Scheduling.- 8. Towards Real World Scheduling Systems.- 9. Adaptive Agents at Work.- Epilogue.- References.