Multiagent Coordination Enabling Autonomous Logistics [electronic resource] /
Schuldt, Arne.author.
This book describes the implementation of autonomous control with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. The technologies enabling autonomous logistics are thoroughly described and reviewed. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.
Description based upon print version of record.
Includes bibliographical references and index.
Part I Logistics Requirements -- Introduction -- Supply Network Management -- Autonomous Control in Logistics -- Part II Multiagent-Based Approach -- Agent Technology -- Potential for Cooperation in Autonomous Logistics -- Team Formation in Autonomous Logistics -- Team Action in Autonomous Logistics -- Part III Application and Evaluation -- Implementing Autonomous Logistics -- A Case Study in Container Logistics -- Transition to Autonomous Logistics -- Conclusion and Outlook -- Index.
This book describes the implementation of autonomous control with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. The technologies enabling autonomous logistics are thoroughly described and reviewed. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.
Based on the author's thesis (Doctoral)--Universität Bremen, 2010.
Engineering economics.
Engineering economy.
Artificial intelligence.
Information technology.
Business—Data processing.
Engineering Economics, Organization, Logistics, Marketing.
Artificial Intelligence.
IT in Business.