We extracted the problems related to maintenance management by applying the perspective of 98 PSF items of the GAP-W type PSF reference list for factor analysis of disclosed cases of trouble at nuclear power plants (NUCIA database, Japan Nuclear Safety Institute). Also we examined good practices in contents of education and training courses implemented in relation to maintenance of electric utilities that were published in peer review reports, and we extracted items needing attention from them. By considering the problems comprehensively that we extracted from the factor analysis and the items that we extracted from the good practices research, we derived seven issues for future consideration for maintenance management. I. “Efficiency of training by utilizing the difference in skill type.” II. “Establishment of principles of maintenance management, as reflected in maintenance education and maintenance activities.” III. “Setting definitions of abnormal experiences, and introducing them into maintenance training.” IV. “Fostering a suitable behavior-criteria in maintenance work.” V. “Enhancing the ability to avoid easily overlooked pitfalls in work carried out.” VI. “Education and training for increased awareness of abnormalities, and securing and training of educational staff.” VII. “Development of an information support system within the maintenance work site.”

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[in Japanese]

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Although threats of cyber-security appear in industrial process control systems, there are few discussions to prevent serious accidents such as explosion or leakage of dangerous contents. In this paper, serious accidents are dealt with hazards of cyber-security. The measures to mitigate the risks and an evaluation method of their effectiveness are proposed utilizing characteristics of process control. Measures are planned based on zones. Zones are designed to separate controllers and sensors which are AND causes of FTA. In cyber-security risk assessment, risk mitigations of measures are evaluated with possibility to succeed the attack to cause serious accidents instead of frequency in safe risk assessment.

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