Logistics networks face the contradictory requirements of achieving high operational
effectiveness and efficiency while retaining the ability to adapt to a changing environment …

This chapter presents the concepts, an example implementation, and the evaluation of an
autonomous, self-organized, and adaptive multiagent system to optimize industrial …

Supply network management aims at balancing supplies and demands between suppliers
and consumers (Section 2.1). This is a challenging task due to the complexity, the dynamics …

Recent economic and international threats to western industries have encouraged
companies to increase their performance in all ways possible. Many look to deal quickly with …

The efficiency of conventional centralised control in logistics is limited due to the complexity,
the dynamics, and the distribution of logistics processes. The paradigm of autonomous …

This dissertation develops coordination mechanisms for the implementation of autonomous
control in logistics with multiagent technology. Therewith, it tackles the challenges of supply …

Logistics management is currently facing major challenges. The integration of the value
chain and the growing importance of spatially and organisationally distributed production …

We study the applicability of multi-agent systems (MAS) to production and logistics network
management. The goal is to create and evaluate sets of intelligent agents that can …

This paper presents a generic and extensible multiagent model for production planning and
control in supply chains. The purpose of this work is to simulate different control …

Supply network management is a challenging task due to the complexity, dynamics, and
distribution of logistics processes. Delegating process control to intelligent software agents …