Effective and significant improvement in the technology for the production of phenol has been made over the past decade. New catalysts and processes have been employed to produce a great deal of phenol in the cumene hydroperoxide (CHP) industry. Fire and thermal explosion of CHP has occurred in Taiwan. Therefore, thermal hazard and reactive risk information has been analyzed in this research. Zeolite is employed as a catalyst for the CHP process. The aim of this investigation was to determine the inherent safety of the phenol production process. Effective manufacturing of phenol and safe handling procedures are significant issues for industrial applications. In view of loss prevention, calorimetric application and model evaluations to integrate thermal hazard development are necessary and useful for inherently safer design.

The study focuses on the operation maintenance phase of buildings on the National Taiwan University campus. Using historical data on maintenance and repair over a 40-year period, lifecycle cost analyses are conducted based on the statistical quantization methods and expert opinions. The study in connection with periodic maintenance; non-periodic repair and demand change, for theses three types of maintenance management. Moreover, multiple regression analysis and back-propagation artificial neural network (BPN) are used to establish a cost model for predicting maintenance costs. The age of the building, number of storeys, and elevator facilities are used as independent variables to estimate maintenance costs. The study helps to set a legitimate standard for arranging repair maintenance costs, and proposes a plan and standard for the repair maintenance strategy of the structures.