Development of Network DEA Model to Measure Risk in Production Line’s Productivity: A Case Study of Automation and Labor Combination


  • N. A. C. Azhar
  • M. A. Mansor
  • S. A. Rusdan
  • A. R. Ismail


Risk, Automation Breakdown, Network DEA


Upgrade production line in the manufacturing industry needs huge investment to come out with good performance. Company can receive Return on Investment (ROI) and save more money from paying labor salary and increase productivity. However, company also may risk from losing the investment done. The main focus of this study is to investigate the risk faced by company after using automation on the production line when dealing with machines breakdown. We use Network DEA model to evaluate risk of the production line since Data Envelopment Analysis (DEA)  is one of appropriate tool to evaluate the efficiency of productivity and widely been use in this sector. The automation usage without applying Overall Equipment Effectiveness (OEE) will compare to using human energy related to productivity of the production line.  The production lines with a high capacity and long-term demand being selected as a sample of this study. The evaluation of the production line starts before and after the line change to semi-automation.



Kaydos, W., Measuring, Managing, and Maximizing Performance (Portland, OR: Productivity Press, 1991).

A. Charnes, W.W. Cooper, and E. Rhodes, 1978, European Journal of Operation Research 2,pp.429-444.

Ling-Feng Hsieh and Li-Hung Lin. A performance evaluation model for international tourist hotels in Taiwan- An application of the relational network DEA, 2010.

S. Lozano, E. Gutierrez, Efficiency analysis of and target setting of Spanish airports, Network Spatial Econ. 11 (1) (2011) 139-157.

Rolf, F., Shawna, G., Network DEA , Socio-Economic Planning Sciences 34 (2000) 35±49.

Azhar, N.A.C., Mansor, M.A., Ismail, A.R., Development of a Network DEA Model to Measure Production Line's Performance: A Case Study for Automation and Labor Combination, The 8th MalaysianTechnical Universities Conference on Engineering & Technology , 2014.

Reza, K.M., Roza, A., A unified network-DEA model for performance measurement of production systems, Journal of Measurement 60, 2015 pp 186-193.


How to Cite

Azhar, N. A. C., Mansor, M. A., Rusdan, S. A., & Ismail, A. R. (2015). Development of Network DEA Model to Measure Risk in Production Line’s Productivity: A Case Study of Automation and Labor Combination. Asian Journal of Engineering and Technology, 3(3). Retrieved from