Mine Performance Assessment by Means of Stochastic Frontier Analysis

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...

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Main Author: Ioannis E. Tsolas
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2019/8657348
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spelling doaj-519f9ab54e654f4dbbef92090c0c41e72020-11-24T22:00:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/86573488657348Mine Performance Assessment by Means of Stochastic Frontier AnalysisIoannis E. Tsolas0School of Applied Mathematics and Physics, National Technical University of Athens, Athens, GR 15780, GreeceThis 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.http://dx.doi.org/10.1155/2019/8657348
collection DOAJ
language English
format Article
sources DOAJ
author Ioannis E. Tsolas
spellingShingle Ioannis E. Tsolas
Mine Performance Assessment by Means of Stochastic Frontier Analysis
Mathematical Problems in Engineering
author_facet Ioannis E. Tsolas
author_sort Ioannis E. Tsolas
title Mine Performance Assessment by Means of Stochastic Frontier Analysis
title_short Mine Performance Assessment by Means of Stochastic Frontier Analysis
title_full Mine Performance Assessment by Means of Stochastic Frontier Analysis
title_fullStr Mine Performance Assessment by Means of Stochastic Frontier Analysis
title_full_unstemmed Mine Performance Assessment by Means of Stochastic Frontier Analysis
title_sort mine performance assessment by means of stochastic frontier analysis
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2019-01-01
description 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.
url http://dx.doi.org/10.1155/2019/8657348
work_keys_str_mv AT ioannisetsolas mineperformanceassessmentbymeansofstochasticfrontieranalysis
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