|Project title||Case-based expert system for an automated reaction to disturbances in freely navigating AGVs (FTS-Expert)|
|Project duration||01.02.2017 – 30.04.2019|
The research project's goal is the development of a case-based expert system, which is capable of an automated reaction to disturbances in freely navigating Automated Guided Vehicle Systems (AGVs). In order to do that the system examines the current occurrence with disturbance scenarios in its database. Based on similarities the expert system takes the proper action. A promising method from the area of knowledge-based approaches is case-based reasoning, which is to be applied in the context of this research project.
The system to be developed supports companies in their efforts to increase the efficiency of installed AGVs. This can be achieved by reducing the system downtimes that are caused by manual disturbance management. Since the involvement of experts for resolving disturbances is currently mandatory, companies could accomplish a reduction of overall cost with the usage of the described expert system. The innovative approach of the planned expert system is, among other things, the fact that it assesses the urge of action given by the disturbances and their interactions within the overall system.
Publications about the project
So far, the design of automated guided vehicle systems (AGVS) as well as the disturbance management in AGVS is in need of human experts. In order to design an AGVS or clear an occurring disturbance a system expert has to work through defined process steps manually. This work?ow does not only demand expert knowledge but causes high costs and the proposed solutions are often limited to the experiences of the expert. The following paper introduces the development of a case-based reasoning expert system for an automated proposition of solutions for disturbances in AGVS and discuss related work in the feld of expert systems for the design support of AGVS.
expert system, automated guided vehicle systems, disturbance management
In order to improve the overall efficiency of production facilities through the use of automated guided vehicle systems (AGVs), the availability of the AGVs has to be high. Failures of AGVs have to be minimized. However, if a failure occurs, a successful disturbance management is crucial. Especially for producing companies, economic losses can occur, if material is not at the right place at the right time. Delays can be a hazard to the adherence to delivery dates. In this research project, a support system is developed that automatically generates strategies for the handling of disturbances.
AGV, expert system, automated guided vehicles, case-based reasoning, CBR