Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents

Author:   Christian Bierwirth
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2000
Volume:   11
ISBN:  

9781461346791


Pages:   219
Publication Date:   03 September 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $448.77 Quantity:  
Add to Cart

Share |

Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents


Add your own review!

Overview

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).

Full Product Details

Author:   Christian Bierwirth
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2000
Volume:   11
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.367kg
ISBN:  

9781461346791


ISBN 10:   1461346797
Pages:   219
Publication Date:   03 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List