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Manufacturing performance measurement and target setting: A data envelopment analysis approach

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  • Jain, Sanjay
  • Triantis, Konstantinos P.
  • Liu, Shiyong

Abstract

Manufacturing decision makers have to deal with a large number of reports and metrics for evaluating the performance of manufacturing systems. Since the metrics provide different and at times conflicting assessments, it is hard for the manufacturing decision makers to track and improve overall manufacturing system performance. This research presents a data envelopment analysis (DEA) based approach for performance measurement and target setting of manufacturing systems. The approach is applied to two different manufacturing environments. The performance peer groups identified using DEA are utilized to set performance targets and to guide performance improvement efforts. The DEA scores are checked against past process modifications that led to identified performance changes. Limitations of the DEA based approach are presented when considering measures that are influenced by factors outside of the control of the manufacturing decision makers. The potential of a DEA based generic performance measurement approach for manufacturing systems is provided.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 214 (2011)
Issue (Month): 3 (November)
Pages: 616-626

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Handle: RePEc:eee:ejores:v:214:y:2011:i:3:p:616-626

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Web page: http://www.elsevier.com/locate/eor

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Keywords: Manufacturing Performance measurement Target setting Data envelopment analysis;

References

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  1. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
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  4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  5. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.
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  7. Fare, Rolf & Grosskopf, Shawna & Zaim, Osman, 2002. "Hyperbolic efficiency and return to the dollar," European Journal of Operational Research, Elsevier, vol. 136(3), pages 671-679, February.
  8. Duzakin, Erkut & Duzakin, Hatice, 2007. "Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: An application of 500 major industrial enterprises in Turkey," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1412-1432, November.
  9. Saranga, Haritha, 2009. "The Indian auto component industry - Estimation of operational efficiency and its determinants using DEA," European Journal of Operational Research, Elsevier, vol. 196(2), pages 707-718, July.
  10. Sheu, D. Daniel & Peng, Shiao-Lan, 2003. "Assessing manufacturing management performance for notebook computer plants in Taiwan," International Journal of Production Economics, Elsevier, vol. 84(2), pages 215-228, May.
  11. Zhu, Joe, 1996. "Robustness of the efficient DMUs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 90(3), pages 451-460, May.
  12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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Cited by:
  1. Yeong, Wai Chung & Khoo, Michael B.C. & Lee, Ming Ha & Rahim, M.A., 2013. "Economic and economic statistical designs of the synthetic X¯ chart using loss functions," European Journal of Operational Research, Elsevier, vol. 228(3), pages 571-581.
  2. Liu, Wenbin B. & Meng, Wei & Mingers, John & Tang, Ning & Wang, Wei, 2012. "Developing a performance management system using soft systems methodology: A Chinese case study," European Journal of Operational Research, Elsevier, vol. 223(2), pages 529-540.

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