Bederiana Shyti, Dhurata Valera, Ilva Isa
The main goal of this paper is to contribute to the performance enhancement of the manufacturing industry via mathematical modeling. Also, we have focused on the statistical analysis of the economic achievements of the plastic industry.We processed a quantity of data collected in the last 10 years of the production activity of the firm ALB PLAST SHPK-Elbasan, Albania. The analysis of the data collected by this company has been done using the Statistical Package for Social Sciences, version 23. So, we have presented the economic analysis of the activity of this manufacturing enterprise using Multiple Linear Regression (MLR), applied for one dependent variable and several independent variables. We showed via mathematical modeling the impact that variables such as self-financing capacity, return on equity, personnel cost per employee and investment per employee have on the size of profit. Especially we have demonstrated that two of the variables are significant in terms of profit size, but we have also represented some other correlations between the study variables. The results are useful for the plastic industry, because as independent variables are variables which represent economic factors that we think affect the profit size, like self-financing capacity, return on equity, personnel cost per employee and investment per employee. Manufacturing firms are always striving to find and apply innovations to help increase their profits. This study is a novelty for the industry of plastic production in our country, because it gives some important correlations between factors that influence the profit growth of the manufacturing industry directly.
Variables, statistical method, mathematical-model, correlation
Cite this paper
Bederiana Shyti, Dhurata Valera, Ilva Isa. (2022) Performance Analysis of the Plastic Industry in Albania. International Journal of Environmental Science, 7, 127-133