Value Efficiency in Centralized Resource Allocation with Missing Data: A Case Study of Construction Projects

This study proposes a mathematical model for evaluating the performance of construction projects based on the Value Efficiency approach under conditions of missing data. The proposed framework integrates Data Envelopment Analysis (DEA) with missing data estimation techniques to assess the relative efficiency of decision-making units in real-world environments characterized by incomplete information. To address missing values in undesirable outputs, two replacement strategies are employed: mean substitution and an efficiency-based scenario approach. The empirical application includes ۳۳ construction projects affiliated with Sadra New Town Development Company in Shiraz (before ۲۰۲۴). The results demonstrate that the proposed model effectively distinguishes between efficient and inefficient projects and provides a scientific basis for improving centralized resource allocation decisions.

کلیدواژه ها:

Value Efficiency ، Data Envelopment Analysis ، Missing Data ، Centralized Resource Allocation ، Construction Projects