Development of the Management Cycle and Supporting Tool for Assisting Organizational Workers in Learning Themselves How to Detect Safety-related Problems

Abstract

For employees to allow the improvement of safety in their own organization, researchers have developed a learning cycle to enhance the ability to notice that it becomes a safety hazard. Safety is important aspect organization’s activities. Organization that had caused the accident has a sense of distrust. It will start losing users and customers as a result. It is necessary to have great safety promotion activities as an organization in order to avoid such a situation, but the activity can be conducted more efficient by personnel of a handful instead of driving, all employees to participate. However, some educators conduct safety training to all employees to avoid increasing costs. Therefore, by building a system that enables learning, employees devised a cycle to allow safety training while reducing the cost after finishing the initial training by building the software with the goal to enable employee to learn themselves. Finally, authors have devised a system that enables the safety training while reducing the burden on educators.This system consists in a "factor analysis" and "analysis software". Factor analysis is a technique that a phenomenon might cause an accident (extracted factors). It is necessary to consider in a variety of perspective like relationships and working environment and so on for analysis. However, it is possible to achieve without the feedback of the analysis it is difficult. By entering into analysis software factors that have been extracted, the software will give us information, such as trends and perspectives missing. To repeat the cycle is performed factor analysis with reference to the information, and to enter into further analysis software. Then employees are going to learn a way of thinking about safety. Taking advantage of it, the employee is going to notice and avoid mistakes and accidents themselves and able to review the day-to-day operations or near-miss cases, and accidents. When applied to five groups of participants who have no experience of factor analysis at all the following results have been obtained. First, researchers compared the number of factors to be extracted. The second run time added a factor of 182% delay on average compared to the first. Similarly, the third run time was the result 252% of the second, and 456 percent for the first time for a third time. Researchers concluded that as the number of factors to be extracted increase, the more the information will be needed serve as a reference when to take safety measures.