| Project/Area Number |
26350421
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Social systems engineering/Safety system
|
|---|
| Research Institution | Shizuoka University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
安藤 和敏 静岡大学, 工学部, 准教授 (00312819)
山本 芳嗣 静岡大学, 工学部, 客員教授 (00119033)
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
|---|
| Keywords | 経営効率性分析 / 最適化問題 / 公理的アプローチ / 列挙アルゴリズム / 数理計画 / オペレーションズリサーチ / 最適化 / 凸解析 / DEA / 国際情報交換 |
|---|
| Outline of Final Research Achievements |
Data Envelopment Analysis (DEA) is a marginal approach to evaluate performance/efficiency of various organizations. The DEA is one of very popular OR (Operations Research) schemes and it has a theoretical background of micro economics. The DEA provides not only the efficiency score but also improvement target. The conventional DEA models find the farthest target from the evaluated organization. The farthest target is difficult to be practically attained because there is significant difference between the target and the organization. This study explores the minimum distance inefficiency measure for the DEA model. A critical issue is that this measure does not satisfy monotonicity, i.e., the measure may provide a better evaluation score to an inferior decision making unit (DMU) than to a superior one. To overcome this, we focus several special classes of the DEA model, and show that for these models, the minimum distance inefficiency measure satisfies the monotonicity property.
|
