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

  • Zirawani Baharum
  • Mohd Salihin Ngadiman
  • Noorfa Haszlinna Mustafa
Conference paper


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.


Conceptual model Construction industry Environmental issues Late delivery Uncertainty 



The authors would like to thank Ministry of Higher Education, Universiti Kuala Lumpur (UniKL) and Universiti Teknologi Malaysia School of Graduate Studies (UTM-SPS) for the support in making this research success.


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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Zirawani Baharum
    • 1
  • Mohd Salihin Ngadiman
    • 2
  • Noorfa Haszlinna Mustafa
    • 2
  1. 1.Malaysian Institute of Industrial Technology, Universiti Kuala LumpurJohorMalaysia
  2. 2.Department of Modelling and Industrial Computing, Faculty of Computer ScienceUniversiti Teknologi MalaysiaJohorMalaysia

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