Mobile Computing and Auto ID Technologies in Supply Chain Event Management - An Agent Based Approach

This paper presents the architecture of an agent-based system for Supply Chain Event Management. Auto-ID (= Automatic Identification), mobile and agent technologies are combined within this agentbased system called CoS.MA (Cooperative and Ubiquitous Supply-Network Monitoring Agents) in order to realize permanent tracking & tracing of resources (e.g. products, vehicles) in supply networks and to visualize resource-related key performance measures. Potentials and challenges in realizing supply networks by means of such technologies are discussed. CoS.MA is based on a peer-topeer network architecture. Each member (node) of a supply network will be represented by one CoS.MA agent platform. Mobile agents may migrate between those agent platforms to integrate and to visualize distributed data. An overview of existing agent-based prototypes in Supply Chain Event Management is given to show the state-of-the-art in this emerging research area

Enhancing Supply Chain Reliability through Agent-Based Supply Chain Event Management

Supply Chain Event Management (SCEM) is an approach to the monitoring of supply chains. It observes specific events and exceptions in real-time and then alerts managers if problems occur. This paper presents an architecture for an SCEM system based on intelligent software agents, Auto-ID technologies and mobile user interfaces. The motivation for this approach is to enhance existing SCEM solutions by exploiting up-to-date technologies. It delegates the task of automated problem solving when disruptions in supply chains occur to software agents

Konzept einer agentenbasierten Transportsteuerung für komplexe, dynamische und multimodale Logistiknetzwerke

Transports within industrial logistics networks are planned strategically. Due to the existence of uncertainties an operational control of transports is necessary. Thereby, dispatchers are today not supported adequately. A control approach for dynamic, complex and multimodal transports is developed, which intends to support or automate the operational control. The approach has a decentral and heterarchical organization, in which the goods and means of transports are modeled as agents