Agent-Based Control System as a Tool towards Industry 4.0: Directed Communication Graph Approach

Agent-based control systems composed of simple locally interacting controller agents with demonstrated complex group behaviour. There have been relatively few implementations of agent-based control systems, mainly because of the difficulty of determining whether simple controller agent strategies will lead to desirable collective behaviour in a large system. The aim of this chapter is to design an agent-based control system for sets of ‘clustered’ controller agents through proposed directed communication graph approach as potent tool for the Industry 4.0. To reach global coordination with focus on real world applications, we use cluster algorithm technique in a set of rules for assigning decision tasks to agents. The outcomes include behavioural pattern, trend of agents and multi-agents usage in rail manufacturing enterprise resource planning and supply chain management. The results of this study showed that the combination of multi-agent system has ability to interact effectively and make informed decision on the type of maintenance actions, resource planning, train arrival times, etc

CONCEPTUAL MODEL OF eHEALTH FOR DEVELOPING COUNTRIES

Within the context of this paper, we describe the adoption of Information and Communication Technology (ICT) in health care. The adoption of ICT in health care is referred to as eHealth. The health care industry since the inception of eHealth has applied the technology in many areas of his activities; recently research focus is on patient usage of the technology. Unfortunately, health care professionals are yet to optimize the usage of this technology in their operational activities. The notion of this paper is to model the factors that prevent the professionals in the usage of this technology. We also discuss various variables that can contribute to the successful use of the technology and how this variable can be measured based on the theoretical roots of the underlying models that constitute the proposed model