APM and AIP Integration for Joint Optimization of Productivity and Reliability Using Simulation Experiments

This study presents a methodology for integrating Asset Performance Managements (APM) and Asset Investment Planning (AIP) platforms for Joint Optimization of Productivity and Reliability using simulation experiments. This research combines data from an APM, which provides information on equipment reliability, and a simulation module of an AIP software that offers detailed technical data of a set of alternative equipment in a sort of catalog. Criteria such as availability, criticality, utilization levels, and the number of failures, based on historic stored data, is used to evaluate different equipment configurations in the APM platform, while productivity and efficiency of existing equipment is captured from the configuration module on the AIP platform. Key aspects of this work point to the possibility of applying it in two main stages of a system life cycle: the initial stage, where the project is in its conceptual design phase, and the analyses and optimization efforts are performed without any economic or budgetary limitations, ensuring an efficient selection of equipment before its actual implementation. And the second stage, in which the plant is already in operation, where newer strategies or configurations are considered to prioritize operational adjustments and minor optimizations due to the inherent constraints of reliability, failure rates, and maintainability aspects. Through the development of a specifically developed model, which is applied to ensure optimal selection of equipment and configurations, the proposed system suggests combinations of equipment that ensure operational continuity and efficient production performance without exceeding energy consumption limits or compromising productivity. The result is a system capable of generating configurations that maintain or improve productivity while simultaneously ensuring an increase in reliability.