Factors Affect Production Risk Management from Flooding of Industrial Plants in the upper Central Region
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Abstract
This research is aims to study the factors that affect the production risk management from flooding of industrial plants in the upper central region. The samples used in the study were 297 factories in the upper central region of Thailand. The sampling method was multi-stage sampling using questionnaires to collect all data. The statistics used for data analysis were frequency, percentage, mean, standard deviation and multiple regression analysis respectively
The result found that the management had the highest level with an average of 4.72, which is considered in each aspect. And in the area of monitoring and evaluation highest average with an average of 4.74 and risk management / response with the least mean of 4.70
The hypothesis test found that from the comparative analysis The level of ability to manage production risk classified by factors according to the nature of the organization. It is found that the provincial location of the factory Industrial type, factors in the number of years in business. The overall and all factors are different statistically significant at the .01 level. In the area of industrial factories and the number of employees in industrial plants found that the sample group with different industrial locations and number of employees in the industrial plants had production risk management. Overall and all aspects differed statistically insignificantly.
The hypothesis testing found that the multiple regression analysis found that organizational strategy (X1) organizational structure (X2) management model (X3) operating system (X4) personnel (X5) skills Capability (X6) in common values (X7) can predict of production risk management from flooding of factories in the upper central region with statistical significance of 0.01. Subsequently, it could also be presented in the equation of Ŷ=-.081+.312 X1 Strategy+.054 X2 Structure+.102 X3 Style+.169 X4 Systems -.072 X5 Staff+.028 X6 Skills+.392 X7 Shared Values.
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References
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