| Summary: In today’s business circumstances, competition is becoming more important day by day. The fact that companies can adapt to the chancing world is dependent on making a high profit with the optimum input composition. To be close to the markets for companies, cheap labour, raw materials and having the energy do not mean that appropriate composition of input is provided. Other companies with similar possibilities will be advantageous in terms of competition and profitability if they can use available resources efficiently and productively. Changes in economic conditions, improvements in production methods and increasing competition force companies to make improvements in production processes. One of the methods most widely used in measurement of efficiency is Data Envelopment Analysis (DEA). Based on mathematical program, Data Envelopment Analysis is an effective and non-parametric measurement technique used in calculating level of efficiency by evaluating many input and output variables together. In this study, efficiency of sectors which take place in manufacturing industry has been measured and especially sub-groups in forest products industry have been investigated relatively by the help of efficiency analysis. Efficiency measurements of sectors has been identified by using 7 input and 3 output variables. 8 manufacturing sub-industry in 2009, 10 manufacturing sub-industry in 2010 and 5 manufacturing sub-industry in 2011 has been found to be efficient. Moreover, changes which should be done on input and output variables has been stated for inefficient companies. Furniture manufacturing which takes place in forest products industry between the years 2009 and 2011 has been found to be total efficient. Wood and wood products between 2009 and 2010 have been found to be total efficient. However, paper and paper products between 2009 and 2011 have been found not to be total efficient.
Key Words: Manufacturing sector, Measurement of efficiency, Financial analysis, Data Envelopment Analysis |
