Assessment of Ammunition Companies Using the IDEA Model

IDEA를 이용한 탄약중대의 효율성 평가

  • Bae, Young-Min (Department of Industrial Systems and Information Engineering, Korea University) ;
  • Kim, Jae-Hee (School of Business Administration and Accounting, Kunsan National University) ;
  • Kim, Sheung-Kown (Department of Industrial Systems and Information Engineering, Korea University)
  • 배영민 (고려대학교 산업시스템정보공학과) ;
  • 김재희 (군산대학교 경영회계학부) ;
  • 김승권 (고려대학교 산업시스템정보공학과)
  • Received : 20060400
  • Accepted : 20060900
  • Published : 2006.12.31

Abstract

In order to enhance sustainable war fighting capabilities, it is important to maintain a good ammunition support system. In this paper, we evaluate the performance of ammunition companies using Imprecise Data Envelopment Analysis (IDEA)-BCC and IDEA-Additive model, which can deal with imprecise data in DEA. The input variables of IDEA models were selected by stepwise multiple regression analysis. With the regression model, we could choose the number of soldiers, officers, and ammunition warehouses as input variables that have significant effects on the output performance. Then, we applied the IDEA-BCC model with the concept of potential efficiency. The results of the model indicate that 8 out of 16 ammunition companies are efficient, 7 are inefficient, and 1 is potentially efficient. We could also identify the possible input excesses and output shortfalls to reach the efficient frontier using the IDEA-Additive model.

Keywords

References

  1. Coelli, T. and Perelman, S.(1999), A Comparison of Parametric and Non-Paramerric Disrance Functions; with Application to European Railways, European Journal Operational Research, 117(2), 326-339 https://doi.org/10.1016/S0377-2217(98)00271-9
  2. Cooper, W. W., Park, K. -S., and Gang, Y.(1999a), IDEA and AR-IDEA: Models for Dealing Imprecise Data in DEA, Management Science, 45(4), 567-607
  3. Cooper, W. W., Seiford, L. M., and Tone, K.(1999b), Dara Envelopment Analysis-A Comprehensive Text with Models Applications, References and DEA-Solver Software, Kluwer Academic Publishers, Norwell, MA, USA
  4. Cubbin, J. and Tzanidakis, G.(1998), Regression versus DEA for Efficiency Measurement; an Application to theEngland and Wales Regulated Water Indusrry, Utilities Policy, 7, 75-85 https://doi.org/10.1016/S0957-1787(98)00007-1
  5. Despotis, D. K . and Srnirls, Y. G.(2002), Data Envelopment Analysis with Imprecise Data, European Journal Operational Research, 140, 24-36 https://doi.org/10.1016/S0377-2217(01)00200-4
  6. Frei, F. X. and Harker, P. T.(1999), Measuring Aggregate Process Performance Using AHP, European Journal Operational Research, 116, 436-442 https://doi.org/10.1016/S0377-2217(98)00134-9
  7. Hwang, H-S., Jung, B-W., and Park, J-S.(2004), SAS 8.20 Programming, Kyungmoonsa, Seoul Korea
  8. Jang, C-H.(2003), Evaluating the Efficiency of Military training by Using IDEA Model, Master's Thesis, Korea National Defense University
  9. Jeon, G-W. and Kang, S-J.(2005), Managerial Efficiency Evaluation for Military Unitsby Using IDEA Model, Korean Journal of Policy Analysis and Evaluation, 15(3), 113-133
  10. Jung, W-G.(2003), A Study of Measuring Efficiency of Army Field Hospitals Using the IDEA Model, Master's Thesis, Korea National Defense University
  11. Lee, J-Y.(2005), An Evaluation of the Operational Effectiveness of the Local Military Man power Administration susing IDEA Model, Mean Management Science Review, 22(1), 1-13
  12. Lee, Y-K., Park, K-S., and Kim, S-H.(2002), Identification of Inefficiencies in Additive Model Based IDEA, Computers and Operations Research, 29, 1661-1676 https://doi.org/10.1016/S0305-0548(01)00049-1
  13. Schaffnit, C., Ragen, D., and Paradi, J. C.(1997), Best Practice Analysis Bank Branches: An Application of DEA In a Large Canadian Bank, European Journal of Operational Research, 98, 269-289 https://doi.org/10.1016/S0377-2217(96)00347-5
  14. Sueynshi, T. and Goto, M.(2001), Slack-Adjusted DEA for Time Series Analysis; Performance Measurement of Japanese Electric Power Generation Industry In 1984-1993, European Journal of Operational Research, 133(2), 232-259 https://doi.org/10.1016/S0377-2217(00)00295-2
  15. Zhu, J.(2004), Imprecise DEA via Standard Linear DEA Model switha Revisit to a Korean Mobile Telecommunication Company, Operational Research, 52(2), 323-329 https://doi.org/10.1287/opre.1030.0072