Context. Resource allocation is an important issue in order to complete a task in the field of agent system. Several protocols are available for task distribution and for efficient resource allocation among agents. Efficient task distribution and resource allocation among agents are often play important roles to obtain high performance. However, the situation becomes more complicated when the resources are dependent on each other where multiple buyers and providers of resources negotiate in parallel. Objectives. In this paper, we proposed an agent based protocol for synchronizing and allocating dependent resources that involves parallel negotiation between multiple buyers and providers of resources. Methods. Literature survey has been conducted in the studied areas in order to position the work and gain more knowledge. Moreover, to validate the proposed protocol, a simulation study was performed. Results. The suggested protocol can handle dependent resources negotiation parallel and the result illustrates that. Moreover, the approach can avoid broadcasting of call for proposals to reduce the communication overhead, which usually occur in many other protocols. Conclusion. In the suggested protocol, we have presented a new idea of re-planning with other techniques like Information board and leveled commitment. In a simulation study, it was identified that this approach is able to deal with the dependent resources according to the simulation results.

No / This paper presents a case study on the use of multi-agents for integrated dynamic scheduling of steel milling and casting. Steel production is an extremely complex problem requiring the consideration of several different constraints and objectives of a range of processes in a dynamic environment. Most research in steel production scheduling considers static scheduling of processes in isolation. In contrast to earlier approaches, the multi-agent architecture proposed consists of a set of heterogeneous agents which integrate and optimize a range of scheduling objectives related to different processes of steel production, and can adapt to changes in the environment while still achieving overall system goals. Each agent embodies its own scheduling model and realizes its local predictive-reactive schedule taking into account local objectives, real-time information and information received from other agents. Agents cooperate in order to find a globally good schedule, which is able to effectively react to real-time disruptions, and to optimize the original production goals whilst minimising disruption carried by unexpected events occurring in real-time. The inter-agent cooperation is based on the Contract Net Protocol with commitment