Eke, G (2017) Determining the probability distributions of cost and time overrun arising from different contractor selection strategies in construction projects. PhD thesis, Aston University, UK.
Abstract
Failing to adequately select the winning contractor can lead to problems in the project delivery phase such as bad quality and project delay; which ultimately results in cost overruns. There are two strategies involved with selecting contractors: one is the lowest tender, the other is called best value. Selecting the lowest tender is straightforward; the latter strategy would involve scoring the contractors' tenders on price and quality and ranking them. The aim of this research is to provide a model of determining the probability distributions of cost and time arising from choosing different contractor selection strategies: lowest tender or best value tender. The research presents an approach by which a what-if scenario can be analyzed using educational facilities projects in the UK. A Monte Carlo Simulation model was developed to allow the evaluation of the probability distributions of cost, and duration arising from the different strategies; these a represented as probability curves. The results show that the lowest tenderer would likely overrun in cost but the cost will be below the price of the best value tenderer. However, there is a higher probability that the lowest tender will exceed the clients? ... (continues)
| Item Type: | Thesis (Doctoral) |
|---|---|
| Index terms: | time overrun, project delay, lowest tender, contractor selection, project delivery, best value, overrun, construction project, Monte Carlo simulation, strategy, duration, probability distribution, educational facility, cost overrun, best value tender |
| Subjects: | modelling and simulation, construction type, production management, tendering, statistical analysis, financial and cost management, project controls, bidding, management, project delivery |
| Topics: | Cost Management, Time Control, Business Strategy, Procurement, Construction Technology, Project Management, Research Practice |
| Descriptive scope: | 3 PCA |
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