Progress and Development of Kermanshah Province

Progress and Development of Kermanshah Province

Identify the most important factors affecting the value added of industrial workshops with ten employees and more in Kermanshah province using data mining methods; during the years 1381 to 1397

Document Type : Original Article

10.22034/mpo.2021.309815.1040
Abstract
Value added is considered as one of the criteria for evaluating the performance of economic units. Statistics related to various economic indicators of industrial workshops in the provinces of the country, along with their value added, are collected every year in the form of "statistics of industrial workshops" by the Statistics Center of Iran. The present study for the first time uses one of the data mining and machine learning methods, as support vector machine (SVM) to find the most important factors affecting the added value of these factories.
The results of this study show that in the period of 1381 to 1397, the output value of industrial activities (9.9%), raw materials (9.7%), inventory value (7.8%), People with less than a diploma in manufacturing (7.03%), payment of non-industrial services (6.9%) and engineers of manufacturing sector (6.3%), respectively, in the highest degree of importance to create There are added value industrial factories.
Keywords
Value Added
Data Mining
Support Vector Machine
Industrial Workshopos
Progress and Development of Kermanshah Province
Volume 1, Issue 3
Winter 0
Pages 87-102