An Empirical Study on Industrial Automation: Its Boon and Bane on Employees
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An Empirical Study on Industrial Automation: Its Boon and Bane on Employees
AUTHOR: K.Dhilip Kanna
REG: 131904015
DEPARTMENT: BA.LLB(HONS)
YEAR: 4th YEAR
SAVEETHA SCHOOL OF LAW
SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES
(SIMATS)
SAVEETHA UNIVERSITY
CHENNAI-77
MAIL ID: dwyanedillip.98@gmail.com
[1]Author :DHILIP KANNA
ABSTRACT
The word Automation gives the meaning ‘self dictating’ or ‘a mechanism move by itself’ that derived from the Greek words Auto and Matos where auto means self while Matos means moving Highly automated product realization is an important means for industry to meet competition from low-cost countries, due to relatively high wage costs observed in world. In a time of rapidly changing technologies and shortening product life cycles, many companies are focusing on automation as a means for competing in a more demanding market. word Automation gives the meaning ‘self dictating’ or ‘a mechanism move by itself’ that derived from the Greek words Auto and Matos where auto means self while Matos means moving However, an increased usage of automation does not necessarily result in increased benefits The manufacturing system itself includes both human and technological resources, as well as, procedures, software and facilities.The manufacturing system itself includes both human and technological resources, as well as, procedures, software and facilities. All dependent on each other in a complex combination Consequently, both advanced technical systems and skilled human workers are necessary for successful manufacturing. Therefore, there appears to be a large potential in the area of manufacturing to find appropriate levels of automation. Thereby the correct level of automation can be achieved for the right manufacturing situation as a way of increasing the system robustness.advantages of automation are cost reductions, improvement of efficiency, and enhanced competitiveness and productivity The SPSS software by IBM was used to calculate the descriptive statistics. The sample size was 200. Dependent .
KEYWORDS : automation, industry, human, evolution, technologies.