Mine Performance Assessment by Means of Stochastic Frontier Analysis
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-11
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper employs stochastic frontier analysis (SFA) in assessing efficiency at the mine level.
An SFA model is derived using annual operational data from the Kardia Field mine of the Greek Public Power Corporation (PPC) S.A.
for the 1984-2006 period and the causes of inefficiency are investigated by means of regression techniques.
The proposed two-stage model can be used as a diagnostic tool to identify causes of mine inefficiency and as a tool for designing and specifying interventions to improve mine performance.
American Psychological Association (APA)
Tsolas, Ioannis E.. 2019. Mine Performance Assessment by Means of Stochastic Frontier Analysis. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1197779
Modern Language Association (MLA)
Tsolas, Ioannis E.. Mine Performance Assessment by Means of Stochastic Frontier Analysis. Mathematical Problems in Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1197779
American Medical Association (AMA)
Tsolas, Ioannis E.. Mine Performance Assessment by Means of Stochastic Frontier Analysis. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1197779
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197779