Abstract

Lean construction methods have demonstrated potential to improve construction productivity. For example, the location-based management system and the last planner system have increased the reliability of planning and control in construction production. However, these benefits are often reduced because of inaccurate manual data collection. To alleviate these problems, technologies for automated monitoring of workers have been developed to identify site events in chaotic environments. This paper aims to investigate whether a Bluetooth low-energy-based real-time indoor positioning system can monitor task progress from workers’ presence. Our findings suggest that the proposed system is a feasible solution for monitoring task-level progress when there are explicit dependencies between tasks. This method could automatically detect task start and finish times and estimate the hours required to complete a task. This enables the measurement of waste hidden inside tasks, which allows for interventions for improving flows and eliminating waste.

Highlights

  • Construction sites are often chaotic places, and any semblance of a smooth production workflow is frequently disrupted

  • There was a time when task pours and pouring (PP) in the bathroom was conducted at the same time as task Shaft drywall (SD) in the kitchen workflow, but those two tasks were scheduled for two different workers, so their presence could be differentiated

  • (2) In both workflows, the first detected uninterrupted presence on each floor was compared with the schedule of a task that was the closest to that presence, so that we could determine from which task in the workflow the worker had started the job

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Summary

Introduction

Construction sites are often chaotic places, and any semblance of a smooth production workflow is frequently disrupted. These disruptions are often caused by the unreliable flow of work prerequisites, creating trade-offs to improvise and work under suboptimal conditions (known as making do) (Ballard, 2000; Bertelsen, 2003). These trade-offs can cause unplanned, wasteful activities, such as waiting for/after other workers, rework, and non-value-adding movements between work locations (Sacks et al, 2010).

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