A methodology to prolong system lifespan and its application to IT systems

Takafumi Nakamura, Kyoichi Kijima

Abstract


A system failure model to prolong system lifespan is proposed, for the purpose of preventing further occurrence of these failures. The authors claim such a methodology should have three features. First it should clarify the structure of failure factors, second it should surface hidden failure factors using statistic method especially corresponding analysis and finding the way to change. The proposed methodology is fundamentally different from the one to identify the root cause of the system failures in the sense of that it encompasses system failures as a group not as a single event. An understanding system failure correctly is crucial to preventing further occurrence of system failures. Quick fixes can even damage organizational performance to a level worse than the original state. In this sense the proposed methodology is applicable over the long time spans and therefore could be useful to confirm the effectiveness of the counter measures without introducing any side effects. Then an application example in IT engineering demonstrates that the proposed methodology proactively prolong system life learning from previous system failures.

Keywords


system failure model; structuring methodology; double loop learning; ISM; risk management

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