Maintenance Planning of Subway Operating Systems using BIM

Abstract

This research presents a framework for condition assessment and budget allocation optimization for subways operating systems. The proposed framework utilizes BIM as an openly shareable information platform for maintenance planning of subways operating systems. The research framework encounters five main modules that are designated for performing different functions. These modules are: Reliability Centered Maintenance Database, Deterioration Modelling, Multi-objective Optimization, Decision Making, and BIM-based Model. Reliability Centered Maintenance Database module where subway operating systems are decomposed to components levels showing their functions, operational failures, failure causes, failure effects, estimating failure consequences using Quality Function Deployment (QFD) technique, responsive maintenance actions, and the hourly maintenance costs. Deterioration Modeling module is used to analyze operational failures using deterministic and artificial intelligence models to estimate future conditions of subway components. Multi-objective Optimization module, which uses gradient descent technique to decide the optimal maintenance frequencies that derive lowest maintenance costs and lowest risk of failure for each operational failure. Decision Making module that utilizes AHP/TOPSIS multi-criteria decision-making techniques to conduct comparative analysis between subway operating systems to derive the criticality index for each of them. Lastly, BIM-based model is used to link the optimized maintenance plans with the corresponding subway components. As such, maintenance information can be easily recognized, shared and monitored among subway asset managers. A case study of Cairo Metro line 1 is presented to demonstrate the main features of the proposed framework.