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The purpose of this paper is to propose a model for analysing the influence of costs of quality.

A model is designed by using a causal loop diagram and is analysed through a system dynamics approach. The model simulation is prepared by Vensim software.

Prevention and appraisal costs are the two effective cost factors. The model represented in this paper reveals that prevention costs have the most effect on total cost of quality and especially external failure costs. Hence, in order to achieve the customer expected quality level, prevention and appraisal costs should be considered.

Calculating and measuring non‐conformance costs is very difficult in organizations and some errors and mistakes may happen.

A system dynamics approach can analyse and measure the amount of prevention cost effects on cost of quality in different organizations.

The proposed methodology demonstrates the use of an innovative approach in developing a cost of quality concept and constructing a practical framework for system dynamics in a real case.

Demolition is a high-risk operation in construction projects that may lead to serious accidents. Risk assessment is a fundamental step in managing demolition risk and preventing casualties and financial losses. The present study aims to provide a framework to identify, analyse and evaluate the risks in building demolition operations.

According to previous studies and the use of expert knowledge, 10 possible risks of the building demolition operation were identified. Subsequently, these risks were assessed using a combination of fuzzy logic with fault tree analysis (FTA), criteria importance through inter-criteria correlation (CRITIC) and technique for order preference by similarity to ideal solution (TOPSIS). Then, the risks were classified with the help of a risk decision matrix (RDM), and appropriate treatment strategies were presented according to the level of importance of each risk.

Considering the obtained magnitude for each risk and its rating, building collapse and noise pollution were identified as the most and least significant risks, respectively. The results of this study were in good agreement with the data provided by the Iranian Ministry of Cooperatives, Labour and Social Welfare, as well as obtained results of the previous studies on demolition.

This paper provides a novel framework for assessing the risks in building demolition operations. The findings of this study help demolition project managers to manage the risks in their projects properly.