ASMS: Quality Assurance Essay

ASMS: Quality Assurance Essay

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ASMS: Quality Assurance

Introduction
The current aviation industry is experiencing a constant increase in the number of complex and diverse networks of government or business organizations in addition to an increase the advancement of equipment used for aircraft development. As a result of the change, the organizations are required to continually adapt to the meet the required relevance and viability. Collection and analysis of data in the aviation industry have a vital role to play. Airline companies are required to take advantage of the useful information generated by analysis of different forms of data in the reduction of equipment downtime and improvement of operational efficiencies.
Use of data collection, analysis and trending in program planning processing
Data collection and processing in the aviation industry is a very important tool for the companies in this industry to conduct the internal evaluation of the company’s Safety Management System (SMS). Through such evaluations, the company is able to determine whether SMS is in line with its expectations and objectives. The company should take into account the findings of the evaluations performed on a previous date. Furthermore, there is a need to use the data carefully to ensure that the safety criticality of the program under evaluation is put into account. A well guided data collection, processing and trending in the aviation industry can bring revolution in the evaluations defined in aviation companies (Vinshnu, 2014).
Aviation companies are now collecting data using sensors that gather information about the nearby environment as well as jet engines. The data collected about the surroundings may include air pressure, humidity and temperature. This data can be ...


... middle of paper ...


...rcraft movement. Like in any other industry, high level of safety in the aviation industry should be a top priority. Safety in this industry is known to improve customer satisfaction, which is accompanied by an increase in the number of customers for the specific airline company.







References
Narjess, T. (2011). Aviation Statistics & Data: A Vital Tool for the Decision making Process. ACI Airport Statistics and Forecasting Workshop 2(4):5-22
Wang, Y., Francis, K., & Sun, J. (2014). Security investment in aviation industry: A longitudinal analysis. Industrial Management & Data Systems.114 (2):276-291.
Deshpande, V. (2012).The Impact of Airline Flight Schedules on Flight Delays. Manufacturing & Service Operations Management. 14(3):423-440.
Vinshnu, P. (2014). Integrating Big Data in Aviation Industry. Journal of information technology. (5)4: 2-9


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