P016 A data-driven comparison of commonly used roster patterns within the Western Australian fly-in-fly-out mining context

Abstract Introduction Shift and roster design is integral to an effective Fatigue Risk Management System, and can impact worker safety, health outcomes, workplace satisfaction, productivity, and cost. However, fatigue-based roster design decisions are frequently made using little or no supporting data. This analysis aims to provide objective fatigue-risk data for roster patterns commonly used within Western Australian (WA) mining fly-in-fly-out (FIFO) operations. Methods Ten of the most common roster patterns (sequencing of work hours and rest periods) within the abovementioned context have been identified, as have two pertinent factors: day/night shift start time, and commute duration to/from individuals’ home airports. In total, 150 combinations of roster patterns, start times, and commute durations will be analysed using the Fatigue Audit InterDyne (FAID®, Interdynamics Pty Ltd) Standard and Quantum biomathematical models. Results All analyses will be completed prior to the conference start date. Outputs of all combinations will be provided, with emphasis placed on time spent above a FAID score of 90 on the ‘Standard’ model and a predicted KSS above 7 on the FAID Quantum model (both indicative of high fatigue-risk). The impact of start times, commute durations, and their interaction, will be described and visualised. Discussion This will be the first publicly available data-driven comparison of FIFO shifts and rosters specific to WA FIFO mining operations. The results from this novel analysis should not be used in a prescriptive manner; however, they aim to provide new insight that may assist decision-making around shift and roster design for FIFO mining operations globally.