Track: Quality Control and Management
Abstract
In recent years, maintenance activities have become more complex along with the trends of automation in various industries. It implies maintenance being a dependent factor to service quality, one of which is urban rail transportation that already adhered to the grade of automation. In addition to its complexity, maintenance is also a major contributor in the cost-of-service delivery, reaching 15% of the total operating costs for urban rail services in Indonesia. Maintenance itself was a risk-based business process considering potential failures of technical equipment that affect equipment availability or service revenue indirectly. Previous studies recognized that the increased expectation of service quality and risk of maintenance activities are still linear to maintenance costs. Furthermore. most companies only follow OEM (Original Equipment Manufacturer) rather than develop their own strategy. Several studies have been conducted to determine maintenance strategies but have not considered the quality and risk of failure comprehensively. Therefore, this study aims to design a model of determining maintenance policies through priority arrangement of maintenance activities based on the risk of failure and its impact on service quality. Data are obtained from service quality attributes survey and stakeholder interview of urban rail company. Using House of Quality (HoQ) the importance of each maintenance activity is identified and prioritized subsequently based on potential failure and detection capabilities using FMEA (Failure Mode Effect Analysis). The result shows priority indexing on each maintenance activity. Afterwards those priority can be utilized as the main criteria for determining maintenance and inventory policy.