Optimizing time-cost tradeoff in repetitive project scheduling
The time-cost problems in repetitive project have been identified as crucial factors of decision-making process. Almost currently used repetitive project scheduling are the precedence diagramming method (PDM) which has two fundamental limitations (1) assumed to progress linearly from their start to their finish; (2) connected only via their end points. The paper proposes a scheduling method using singularity function for continuous precedence relations and nonlinear activity-time-production functions. This study further presents an adaptive multiple objective symbiotic organisms search algorithm (AMOSOS) to solve time-cost tradeoff in repetitive projects. An application example is analyzed to validate the scheduling method, as well as to demonstrate the capabilities of AMOSOS in optimizing time-cost tradeoffs in repetitive construction projects.
scheduling; evolutionary algorithms; time-cost tradeoff; multiple objectives.
Copyright (c) 2019 National University of Civil Engineering (NUCE)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.