Maintenance of process plants requires application of good maintenance practice due to

a great level of complexity. From a plant maintenance point of view, the most significant activity

is turnaround, an activity carried out through project task with long planning process

period and very short execution period, which makes it one of the most complex projects

of maintenance in general. It is exactly this kind of maintenance that is based on multidisciplinarity

which has to be implemented through the system of quality management on all

levels of maintenance management. This paper defines the most significant factors determining

the process of turnaround projects quality management and its efficiency. Such relation

is observed through moderating influence of complexity on process management efficiency

in the turnaround project. The empirical research was conducted based on the survey of

turnaround project participants in five refineries in Croatia, Italy, Slovakia and Hungary.

For exploring the influence of research variables testing of the target relation is carried out

by applying logistical regression. Research results confirm the significance of complexity as

variable that significantly contributes to the project performance through the moderating

influence on success of the project, as well as the influence of an efficient management on

a plant turnaround project key results. Beside theoretical indications, practical implications

that arise from this research study mainly refers to management process of the industrial

plant maintenance project.

This research paper presents the results of the analyses of the course of technical wear over time carried out for residential masonry buildings located in the mining area of the Lublin Coal Basin (LCB). As a result of the conducted analyses, models of the course of technical wear over time were obtained for the entire building development and for groups of buildings, taking into account the conducted renovation works and preventive structural protection. By comparing the parameters of the developed models, statistically significant differences in the course of technical wear resulting from the quality of maintenance and the use of preventive measures were identified. In addition, the durability of individual groups of structures was estimated and compared. Based on a comparison of the course of technical wear of 22-year-old building structures, unrenovated and with similar structural and material solutions, it was found that the rate of increase in technical wear after 50 years of use is on average 3.5% lower than in the case of unprotected buildings. In addition, the use of preventive structural protection extends the durability of the analysed building structures by an average of over 13 years. The obtained results may e.g. help owners or managers optimise the Maintenance Management of building structures.

Maintenance involves a large amount of data management. Although many tools, strategies, and systems, have been developed to organize the maintenance information resources, SMEs have not found the same benefits as large companies due to their inherent characteristics and, above all, the maturity level of the maintenance department. Maturity models are useful tools for assessing the maturity of maintenance information practices; however, existing models are not suitable for any type of business context, as they required companies to have a clear organizational structure and definite informative infrastructure. Moreover, they do not assist in identifying and defining actions to reach the highest level. This paper proposes a model for assessing and improving maintenance management information practices. It allows a clear measure of the maturity of the maintenance information management practices in industrial contexts and provides improvement actions identifying the information and data needed to enhance maintenance management information practices.