Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Abstract

: This paper presents a real time workers' behavior analyzing system using wearable sensors which combine Bluetooth low energy beacon (Beacon) and acceleration sensor to measure production progress and work history data in a cellular manufacturing system. It takes a lot of cost to collect those data on the cellular manufacturing line where workers' work is mainly conducted. For the purpose, we first built an experimental cellular manufacturing line and collected workers' behavioral data. Next, we developed our system and determined analyzing parameters using workers' behavioral data. Finally, we built another experimental cellular manufacturing line, and we measured production progress and work history data from our system. We then compared the result with a conventional visual method using video. The results revealed that our system measured the productivity data in the cellular manufacturing line which does not use a machine, and we could gather production progress and work history data more quickly than the conventional method. We believe that our system will make it possible to increase the efficiency of the supply chain system, to get a quick feedback in daily production, and to improve production.

Lab-scale Models of Manufacturing Systems for Testing Real-time Simulation and Production Control Technologies

“…Since online decisions must be made as soon as the problems are identified in the system, RTS frameworks are based on real-time input data acquired while the real system is evolving. Kitazawa et al [16] used RTS to estimate the completion time of a flow shop manual assembly. The data is collected by Bluetooth-based beacons to record the proximity of operators to their workstation.…”