## 1 Introduction
A variety of decision-making techniques have been applied in construction planning problems, e.g., the analytic hierarchy process (AHP) method, data envelopment analysis (DEA) method, technique for order preference by similarity to an ideal solution (TOPSIS) method, Analytic Network Process (ANP) method and grey target decision method [25; 26; 27]. [PERSON] et al. implemented the AHP method as a tool to evaluate the quantitative outcome of severity levels in the safety risk analyses related to crane work [28]. [PERSON] et al. used the AHP method to identify the construction management problems and determined the best contractor for a construction project in Turkey [29]. For sustainable construction planning, [PERSON] et al. analyzed and summarized the application of different multi-criteria techniques in civil engineering and construction building technology problems [30]. [PERSON] et al. developed a multi-criteria assessment model using AHP and ANP methods to optimize the maintenance planning for water pipelines. [PERSON] et al. proposed a fuzzy decision-making model based on fuzzy set theory and the TOPSIS method to evaluate and select the construction site layout plan. Although the previous MCDM-based models are effective in construction planning problems and building technology optimization, the ability to integrate all relevant criteria into temporary facility layout planning is limited. In facility layout planning, the developed approaches did not consider all assessment factors into the model. Furthermore, the interdependency relationships between different factors involved in temporary facility layout problems were not taken into account. The result accuracy in temporary facility layout assessments can be improved when all criteria and their interdependency relationships are considered in the decision problem. This paper proposes a novel and practical model for multi-criteria temporary facility layout planning in construction projects, where emphasis is placed on the performance evaluation of the layout alternatives, with multiple criteria being assessed: (1) construction safety associated with task executions and space management; (2) labor productivity associated with activity workspace, labor ergonomics and comfortability; and (3) construction cost caused by the facility setup, dismantlingprocess and resource transportation. Considering the factors that significantly impact the criteria, the proposed model incorporates an ANP-based approach to assess the weight of each criterion related to temporary facility layout problem. Based on the weight assessment from the established ANP model, the One Factor at a Time (OAT) -based sensitivity analysis is formulated to identify the criteria that are especially sensitive to the weight changes, and further find out all possible optimal plans. The model does not consider the limitations of data collection, and therefore provides a scientific evaluation system to the potential planning alternatives. The related criteria on layout planning are discussed and the decision process that contributes to optimal layout plan selection is outlined. The method, with which the model has been formulated, allows the construction managers and planners to effectively assess the relative importance of multiple criteria and select the most suitable plan for the construction project.