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Risk maturity evaluation is an efficient tool which can assist construction organizations in the identification of their strengths and weaknesses in risk management processes and in taking necessary actions for the improvement of these processes. The accuracy of its results relies heavily on the quality of responses provided by participants specialized in these processes across the organization. Risk maturity models reported in the literature gave equal importance to participants' responses during the model development, neglecting their level of authority in the organization as well as their level of expertise in risk management processes. Unlike the existing models, this paper presents a new risk maturity model that considers the relative importance of the responses provided by the participants in the model development. It considered their authority in the organization and their level of involvement in the risk management processes for calculating the relative weights associated with the risk maturity attributes. It employed an analytic network process (ANP) to model the interdependencies among the risk maturity attributes and utilizes the fuzzy set theory to incorporate the uncertainty associated with the ambiguity of the responses used in the model development. The developed model allows the construction organizations to have a more accurate and realistic view of their current performance in risk management processes. The application of the developed model was investigated by measuring the risk maturity level of an industrial partner working on civil infrastructure projects in Canada. [ABSTRACT FROM AUTHOR]

Studies have confirmed the benefits of using Third-party logistics (TPL) for efficient construction management, especially in large projects. Nevertheless, there is a dearth of decision-making models evaluating the exact role of TPL providers as drivers for supply chain (SC) integration and optimisation. This study aims to develop a decision-making model for construction supply chain (CSC) optimisation, with possible TPL integration. The proposed model considers two types of purchased materials (type-1 and type-2) and assists the main contractor in determining construction supply chain management (CSCM) strategies, including supplier selection, order quantity determination, and TPL use evaluation. Using the model, the main contractor can take advantage of the TPL provider's warehouse and order larger quantities, if necessary, to obtain lower prices offered by suppliers. Through case examples in Canada, we find that the proposed model performs better in optimising total SC cost, as compared to the model without TPL. Model validations also show that TPL can be conditionally used to improve construction logistics performance and to meet practical requirements targeting issues in the construction industry. [ABSTRACT FROM AUTHOR]