Open AccessDetermination of Performance Analysis for an Underground Colliery Utilizing Mechanized Production System
Author(s) -
Ali Ekrem Arıtan,
Cem Şensöğüt
Publication year - 2019
Publication title -
international journal of economic and environment geology
Language(s) - English
Resource type - Journals
ISSN - 2223-957X
DOI - 10.46660/ojs.v10i2.257
Subject(s) - coal mining , productivity , production (economics) , constant (computer programming) , relation (database) , order (exchange) , government (linguistics) , computer science , mining engineering , corporation , agricultural engineering , environmental science , reliability engineering , process engineering , business , operations management , coal , engineering , economics , microeconomics , data mining , waste management , programming language , linguistics , philosophy , finance , macroeconomics
Performance is one of the most important parameters for today’s business organizations. An organizationthat is low on performance, no matter how much high quality products they have, cannot take the share they desirefrom the market. It is the inevitable result for organizations with low performances to lose money and get closed down.Nowadays performance is measured in many ways. In this work; the production performance of Ömerler Colliery,which is the only government controlled mechanized lignite mine authorized under the Western Lignite Corporation(WLC) and the factors that caused performance decrease has been determined. In order to gain performancemeasurements; effectiveness, efficiency and productivity criteria have been used and performance indexes have beenacquired. As the result of the performance analysis, it is understood that there has been malfunctions with; in order; beltconveyor, chain conveyor, shearer and fortification that has been effective in the decrease of performance. Performanceindexes, which are barely derived from the multiplication of performance parameters, are examined and it is deductedthat the highest relation is achieved for the efficiency parameter with a correlation constant (r) of 0.9489 and a certaintyconstant (R²) of 0.9005 while the lowest relation is obtained for the efficiency parameter with a correlation constant (r)of 0.4621 and certainty constant (R²) 0.2135. With this acquired result it has been determined that by only measuringeffectiveness, performance detection cannot be made.