Nowadays industrial process are mainly distributed, and their supervision systems are still centralized. Consequently, when communications are disrupted, it slows down or stops the supervision process. To allow the anytime supervision of such systems, we propose a distributed approch based on a multi-agent system where each supervision agent autonomously handles both diagnosis and repair on a given location. We demonstrate the advantage of our proposal and evaluates ADS2 using an industrial case-study. Experiments demonstrate the relevance of our approach with an overall reduction of the supervised system down-time of 34%.