Abstract
Construction projects are planned in a complex and dynamic environment characterized by high risks and uncertainties amidst resource constraints. Assessing construction schedule risk facilitates informed decision-making, especially in a resource-constrained situation, and allows proactive actions to be taken so that project objectives are not jeopardized. This study presents a stochastic multiskilled resource scheduling (SMSRS) model for resource-constrained project scheduling problems (RCSPSP) considering the impact of risk and uncertainty on activity durations. The SMSRS model was developed by integrating a schedule risk analysis (SRA) model (developed in MS Excel) with an existing multiskilled resource scheduling (MSRS) algorithm for the development of a feasible and realistic schedule. The computational experiment carried out on three case projects using the proposed SMSRS model revealed an average percentage deviation of 10.50%, indicating the inherent risk and uncertainty in activity durations of the project schedule. The core contribution of the proposed SMSRS model is that it: (1) presents project practitioners with a simple tool for assessing the risks and uncertainty associated with resource-constrained project schedules so that necessary response actions can be taken to ensure project success; (2) provides the small-scale construction businesses with an affordable tool for evaluating schedule risk and developing a feasible and realistic project schedule.
Highlights
The construction industry is one of the mainstream industries that contribute to the growth of the global economy [1] through the implementation of construction projects ranging from small to mega projects
This study introduced a stochastic multiskilled resource scheduling (SMSRS) model for scheduling construction projects under resource-constraints considering the impact of risk and uncertainty on activity durations
The SMSRS model was developed by integrating a schedule risk analysis (SRA) model with an existing MSRS algorithm
Summary
The construction industry is one of the mainstream industries that contribute to the growth of the global economy [1] through the implementation of construction projects ranging from small to mega projects. Achieving the desired productivity and project success corresponding to the value of forecasted spending in the report hinges upon the effective management of project objectives (costs, time, scope, and quality) and the associated risk and uncertainty that influence the project outcome. A typical construction project consists of many activities that require a huge volume of resources (materials, equipment, labor, capital, etc.) for successful delivery. These resources are limited in the project resource pool of any given project [5]. The project manager/planner is expected to plan the project by developing a feasible and realistic schedule considering risks, uncertainties and resource constraints
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