Question

Disaster management and control management in automation:a key role in safety engineering

Answer 1

The injuries in the mining industries have drastically come down in the recent years, but injuries in many other industries gives a warning alarm nowadays. Since the mining industries involves with people, equipments and materials as such involved in automated manufacturing industries, it becomes inevitable to study the performance of risk assessment techniques and preventive measures in these industries. These control measures and techniques can be extended to the mining industries at several levels. All decision making processes involves the assessment of risk to greater extent. This provides a proactive measure for any industries. The risk assessment approaches for earth, planetary sciences and manufacturing industries have been developed in the recent days with newer technologies and advanced equipments. This paper insists the importance of disaster management and the nature of crisis and disasters involved in several industries. In mining industry, the sources of errors may be in the form of people, equipment, environment, materials etc., the posture of working or repetitive nature of working, lifting, pushing, falls etc., may lead to severe disasters that invite several techniques for control management in mining industries. The equipments used in mining industry include mobile, portable, fixed and falling objects. These include control management for disaster prevention. A wider scope for research is opened in the areas of hazard identification and risk assessment, as the interest in understanding the principles of practice involved in any of the manufacturing industries is increasing rapidly. In the past research carried out for the risk assessment methodologies, only some of the modules are taken into account by the previous researchers. Hence it becomes inevitable to cover the entire module for the assessment of risk. This paper covers an extensive literature review about the hazard identification and risk assessment involved in a typical manufacturing industry, which can be extended to any of the mining, piping industries etc. The different types of risk are also categorized depending on certain procedures; in general procedures for assessment of risk, the approaches for risk analysis will not be dealt in detail. But this paper gives importance in categorizing the risks involved in the manufacturing industries. Further there is more scope for the researchers to extent these data's in the form of Quality function deployment and improve the quality of the system with less risk in future.