Managing Uncertainty in Multi-project Constructing for Environmental Issues on Project Completion Late Delivery

Abstract

Modern construction industry (CI) has many underlying causes of uncertainty that impact on late delivery of project completion’s performance. A comprehensive literature review found that many researchers from many countries were using various techniques to tackle the uncertainty with less consciousness on environmental issues. Uncertainty modelling on project completion late delivery (PCLD) in environmental issues is intentionally to manage the project performance, hence to maximize the customer’s satisfaction. From the research surveys, the relationships between cause and effect that underlying uncertainty in PCLD in environmental issues are constructed via conceptual mode, in this paper. It involves piping’s CI for water supply company with multi-project construction environment. The uncertainty factors are modelled by diagnosing the significant factors with fractional factorial design using analysis of variance. Next, simulation modelling and experimental study of the underlying causes of uncertainty in PCLD based on real-case study verify and validate this suggestion. Consequently, the model of uncertainty will provide the industries with a reference on the underlying causes of uncertainty that must be tackled with higher priority and may avoid the estimation on lead time.