Name
Abstract | ||
|---|---|---|
The measurement and monitoring of the efficiency of processes in organisations has become an important undertaking in today's competitive environment. A fundamental tool for this undertaking is data envelopment analysis (DEA). The conventional setting for DEA views the decision-making unit (DMU) (school, hospital etc.) as a black box with inputs entering and outputs leaving. The current paper looks at a problem setting somewhat related to a multistage situation but pertaining to a particular form of hierarchical structure. Specifically, we examine a set of electric power units that act as sub-units or sub-DMUs, operating under the framework of set of power plants that play the role of DMUs. We develop a DEA-like methodology that evaluates, in a two-stage manner, both the efficiencies of the sub-units and of the aggregates of those sub-units (the plants). In so doing, the approach attempts to have the projected values of plant-level inputs and outputs match up with the corresponding aggregate values of the sub-unit projections, as is the case prior to projection to the frontier. Since such projections may in fact not match up as described, we introduce a goal-DEA methodology to minimise the extent of any failure to achieve this match up. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1080/01605682.2019.1678409 | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY |
Keywords | DocType | Volume |
DEA, efficiency, hierarchy, power plants, sub-units | Journal | 72 |
Issue | ISSN | Citations |
3 | 0160-5682 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanghong Li | 1 | 0 | 0.34 |
| Wade D. Cook | 2 | 1215 | 84.70 |
| Zhepeng Li | 3 | 17 | 2.29 |
| Joe Zhu | 4 | 1762 | 167.31 |