using goal programming method to solve dea problems with value judgments
Clicks: 311
ID: 217133
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
311 views
43 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 16 articles by views in chemnanomat
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Data envelopment analysis (DEA) is a linear programming approach for
measuring relative efficiency of peer decision making units that have
multiple inputs and outputs. DEA was developed without consideration of the
decision maker’s preference structures. DEA and multiple objective linear
programming are tools that can be used in management control and planning.
This paper shows how a data envelopment analysis problem can be solved by
transforming it into MOLP formulation. We use the goal programming method to
reflect the decision making preferences in the process of assessing
efficiency, such that the value judgments of the decision maker are
considered. Therefore, the proposed method can find a solution that satisfies
the decision maker’s goal levels. A case study is provided to illustrate how
data envelopment oriented efficiency analysis can be conducted by using goal
programming method.
| Reference Key |
m.2014yugoslavusing
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Izadikhah M.;Roostaee R.;Hosseinzadehlotfi F. |
| Journal | chemnanomat |
| Year | 2014 |
| DOI |
10.2298/YJOR121221015I
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.