Application of Importance-Satisfaction Analysis and Influence-Relations Map to Evaluate Design Delay Factors

Abstract

Design delays can negatively influence the total completion time of a facility construction project. Knowing the factors to which design delays are most sensitive supports the time management of designs. However, factors that cause design delays are several and interrelated. This study proposes a new model to identify key factors that drive design delays. The core of the model integrates importance-satisfaction analysis (ISA) and an influence-relations map (IRM). The ISA evaluates the performance of each delay factor, while the IRM captures the causal relationships among factors. Additionally, the IRM is generated using a decision making trial and evaluation laboratory technique (DEMATEL). The model is applied to a real-world high-tech facility construction project to indicate the strengths of the model. In this investigation, four first-level delay factors and 17 second-level delay sub-factors are derived. The factor of “organization's decision making and budget constraints” is identified as the key driver of design delays in the project of interest. The results support management in determining which problem factors should be given priority attention. The proposed model can be employed in other decision-making situations that involve interrelated factors.

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

“…After visualizing the complex causal relationships among factors using the IRM, Wang et al [25,26] further developed the net influence matrix = [Net ] × to evaluate the strength of influence of one factor on another, in which Net = − .…”

Med-Tech Industry Entry Strategy Analysis under COVID-19 Impact

“…In addition, they proposed an evaluation laboratory technique, Decision Making Trial and Evaluation Laboratory (DEMATEL), to catch the causal relationships among factors and produce an influence-relationship map. Furthermore, Wang, Lin, Wang, Liu, and Lee [ 8 ] developed an Importance-Satisfaction Analysis (ISA) model to estimate the performance of each factor and an Influence-Relations Map (IRM) to catch the relationship among factors.…”

Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS

“…However, the method has a certain curb that the risk paths in the design and the dynamic behaviour of the risk factors were not considered [18]. The different methods may have different contribution with certain limitations, especially for risk assessment [26]. In addition, the different studies in the different methods have still lacked a systematic approach to consider the complex and dynamic nature of construction projects risk for better understanding and effective risk management [27].…”