MODEL DATA ENVELOPMENT ANALYSIS (DEA) DALAM MANAJEMEN OPERASI
Abstract
Quality management is an effective system in operation management to develops, maintains, and improves quality from groups of companies that allow marketing, production, and service at the most economycal level as well as ensuring customer satisfication. Many companies are practicing quality management to improve their bussiness performance. One of performance measurement is through measurement of efficiency. One of the tools can be used to assess efficiency of companies performance is Data Envelopment Analysis (DEA). The aim of this paper is using Data Envelopment Analysis (DEA) model to assess efficiency of quality management. In this paper will be explained CCR, and BCC models to assess efficiency of quality management. From the example of problem given, it’s proven that DEA is a reliable method for modeling operation process with multiple input and multiple output from a set of Decission Making Units (DMU), and then measure its efficiency both financially and nonfinancially.
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References
Conca, F.J., Llopis J., dan Tari J.J. (2004). Development of a measure to asses quality management in certified firm. European Journal of Operational Research. Vol. 156, 683–697.
Cooper, W.W., Seiford, L.M., dan Zhu, J. (2011). Handbook on Data Envelopment Analysis. New York : Springer.
Cooper, W.W, Seiford, L.M., dan Tone, K. (2002). Data Envelopment Analysis. New York : Kluwer Academic Publishing.
Cooper ,W.W., Seiford, L.M., dan Tone, K. (2006). Introduction to Data Envelopment Analysis and Its Uses : with DEA Solver Software and Reference. New York : Springer
Dean, J .W., dan Bowen, D.E. (1994). Management theory and total Quality: improving research and practice through theory development. The Academy of Management Review, Volume 19.
Halkos, G., Tzeremes, N.,dan Kourtzidis, S. (2011). The use of supplay chain DEA models in operations management : A survey. Munich Personal RePEc Archive, No. 31846.
Knowles, G. (2011). Quality Management. Graeme Knowles and Ventus Publishing APS.
Kuah,C.T., Wong, K.Y., dan Behrouzi, F. (2010). Application of Data Envelopment Analysis to asses quality management efficiency. International Journal of Mechanical, Aerospace, Industrial, Mechatronic, and Manufacturing Engineering. Volume 4, No. 10.
Kumar, S.A., dan Suresh N. (2008). Production and Operations Management. New Age International Publisher, New Delhi.
Kumbhakar, S.C., dan Heshmati, A. (1996). DEA, DFA, and SFA : a comparison. Journal of Productivity Analysis.
Pournader, M., Kach, A., Fahimnia, B., and Sarkis., J. (2015). Outsorcing Performance quality assesment using DEA analytics. Int. J. Production Economics.
Uyar, A. (2009). Quality performance measurement practice in manufacturing companies. The TQM Journal. Vol. 21, Issue 1. 72–86.
Zhu, J. (2003). Quantitative models for performance evaluation and benchmarking : DEA with spreadsheet and DEA excel solver. New York : Springer Since + Bussiness Media.