Combining workers' behavior data and real time simulator for a cellular manufacturing system

This paper presents a real time simulator using workers' behavior data to support a product manager's decision making in cellular manufacturing system. The real time simulator is a simulation using the data collected in real time, which is effective in reduce prediction error and support quick decision making. However, due to a high analytical cost in the conventional work measurement, it is difficult to continuously collect the worker's behavior data of the cellular manufacturing system in real time. For this purpose, first we built an experimental cellular manufacturing line that is able to collect the workers' behavior data in real time using the Bluetooth low energy beacons and acceleration sensors. Thereby, we constructed a real time simulation to combine the analyzed behavior data and a discrete event simulation. The result revealed that, the relative error between our method and the video observation method is small, and the prediction error of our simulation is smaller than using the standard work time.

[1]  Mohammad Ali Abido,et al.  RTDS Implementation of the Optimal Design of Grid-connected Microgrids Using Particle Swarm Optimization , 2012 .

[2]  Koshy Varghese,et al.  Accelerometer-Based Activity Recognition in Construction , 2011, J. Comput. Civ. Eng..

[3]  Yoshitaka Tanimizu,et al.  A study on development of a work instruction system for assembly cells based on analysis of learning processes , 2014 .

[4]  Pekka Siirtola,et al.  Activity recognition using a wrist-worn inertial measurement unit: A case study for industrial assembly lines , 2009, 2009 17th Mediterranean Conference on Control and Automation.

[5]  Lars Mönch,et al.  Using simulation to improve planning decisions in mixed-model assembly lines , 2015, 2015 Winter Simulation Conference (WSC).

[6]  R. Faragher,et al.  An Analysis of the Accuracy of Bluetooth Low Energy for Indoor Positioning Applications , 2014 .

[7]  Mohamed Al-Hussein,et al.  Online simulation modeling of prefabricated wall panel production using RFID system , 2015, 2015 Winter Simulation Conference (WSC).

[8]  John Tanner Manufacturing engineering: An introduction to the basic functions , 1985 .

[9]  Wen-Jing Hsu,et al.  Yard crane dispatching based on real time data driven simulation for container terminals , 2008, 2008 Winter Simulation Conference.

[10]  Jacques Pinaton,et al.  Simulation model to control risk levels on process equipment through metrology in semiconductor manufacturing , 2015, 2015 Winter Simulation Conference (WSC).

[11]  Dobrila Petrovic,et al.  Simulation of supply chain behaviour and performance in an uncertain environment , 2001 .

[12]  Yanwen Dong,et al.  Structural Equation Modelling of Human Factors and Their Impact On Productivity of Cellular Manufacturing , 2014 .

[13]  Mikell P. Groover,et al.  Work systems and the methods, measurement, and management of work , 2006 .