Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants

Current production systems that respond to market demands with high rates of change and customization use complex systems. These are machines a capacity for communication, sensing self-diagnosis, although they susceptible failures, breakdowns loss reliability. The amount data provide as productive system and, individually, machine can be treated improve customized maintenance plans. objective this work, an operational scope, is collect exploit the knowledge acquired in industrial plant on failures based its historical data. acquisition aforementioned channeled through human intellectual capital work groups formed purpose. Once available worksheet format according Reliability-Centered Maintenance (RCM) methodology, it implemented using Case-Based Reasoning algorithms Java application developed purpose carry out process RCM, accessing base similar cases adapted. This definition allows control function short term, weekly horizon, design plan adjusted reality current operating context, which may differ greatly from originally projected or any other caused by new requirements. designed such will apply changes equipment, make up system, consequence adaptation changing demand. As result, computer has been designed, validated allows, incorporation RCM already successfully carried plant, development assistant, which, conductive way, guides engineer their process, minimizing error time leveraging existing capital.