Development of Network DEA Model to Measure Risk in Production Line’s Productivity: A Case Study of Automation and Labor Combination
Keywords:
Risk, Automation Breakdown, Network DEAAbstract
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.
Â
References
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.
Downloads
Issue
Section
License
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
