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Assessment of Ammunition Companies Using the IDEA Model  

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)
Publication Information
IE interfaces / v.19, no.4, 2006 , pp. 291-299 More about this Journal
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
IDEA; ammunition company; regression analysis; potential efficiency; imprecise data;
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