This research aims to study and analyze the impact of applying automation
system administrative work in the General Organization of Textile
Industries in Syrian Arab Republic to facilitate access to content
from any terminal unit regarding to the powers with the ability to
retrieve files.
This study examined the relationship between demographic variables of age, sex,
marital status, educational qualification, and the order of the human needs for employees.
Through a survey study on employees in the textile and cotton industries sect
or in
the Syrian coast, the total number of valid questionnaires was 348 Reliability.
And the researcher concluded to the following results:
• There is a significant relationship between age and the order of the human needs
for employees in the textile and cotton industries sector in the Syrian coast.
• There is a significant relationship between sex and the order of the human needs for
employees in the textile and cotton industries sector in the Syrian coast.
• There is a significant relationship between marital status and the order of the
human needs for
employees in the textile and cotton industries sector in the Syrian coast.
• There is a significant relationship between educational qualification and the order
of the human needs for employees in the textile and cotton industries sector in the Syrian
coast.
Textile industries are very important in Syria. Sham Countries are known with it, and the most famous
kinds of it are: Damsko and Brokar, that spread in the world. This industry is a result of many industries
starting, from spinning then fabric and
dyeing and sewing for the final product. Dyeing is an important
phase in this industry, because it offers to the product its beauty and specialty that comes with many
gestations and the changes of fashion and style, and it's an artistic and scientific industry that needs high
skills and numerous staff for work and operating.
The purpose of this research is to study noise caused by machines in three companies working in dyeing
and preparing clothes, by measuring noise levels with anchor equipment and comparing the results to
international standards in order to estimate the amount of dosages that workers in industrial
establishments face, and to come up with recommendation to reduce noise levels.