Application of importance-satisfaction analysis and influence-relations map to evaluate design delay factors
| Autor: | Ming Tsung Lee, Wei-Chih Wang, Shih Hsu Wang, Jang Jeng Liu, Chia-Li Lin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Engineering
high-tech facility construction project Building construction Operations research business.industry Strategy and Management importance-satisfaction analysis (ISA) Key factors influence-relations map (IRM) Time management decision making trial and evaluation laboratory technique (DEMATEL) Completion time business Budget constraint TH1-9745 Civil and Structural Engineering Laboratory technique design delays |
| Zdroj: | Journal of Civil Engineering and Management; Vol 20 No 4 (2014); 497-510 Journal of Civil Engineering and Management, Vol 20, Iss 4 (2014) |
| ISSN: | 1392-3730 1822-3605 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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