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A New Model for Solving Time-Cost-Quality Trade-Off Problems in Construction.

Fang Fu¹, Tao Zhang¹

¹School of Economics & Management of China University of Petroleum (East China), Qingdao, Shandong, PR China.

|December 3, 2016

Summary

This study introduces a new model to minimize total quality costs in construction projects by balancing prevention and failure costs. It uses a novel algorithm to optimize project scheduling and quality, aiding decision-making for cost-effective outcomes.

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Area of Science:

Construction Project Management
Operations Research
Quality Management

Background:

Poor construction quality negatively impacts project timelines and costs.
Repair work can mitigate quality issues but adds complexity.
Balancing quality costs (prevention vs. failure) is crucial for project success.

Purpose of the Study:

To develop a non-linear programming model for the resource-constrained project scheduling problem, incorporating repair works.
To minimize total quality cost, encompassing prevention and failure costs.
To optimize construction project scheduling and quality thresholds for cost-effectiveness.

Main Methods:

Constructed a non-linear programming model based on the multi-mode resource-constrained project scheduling problem.
Utilized a binary dependent normal distribution for activity quality and cumulative quality for repair triggers.
Developed a shuffled frog-leaping algorithm with adaptive serial schedule generation and genetic algorithm crossover for optimization.

Main Results:

The proposed model and algorithm effectively address the trade-off between project makespan, quality, and total cost.
Demonstrated the algorithm's performance on a railway overpass construction project.
Provided a framework for decision-making to find optimal makespan and quality thresholds.

Conclusions:

The developed model and algorithm offer a viable solution for managing quality costs in construction projects.
Integrating repair work considerations into scheduling optimizes project outcomes.
The approach aids in achieving satisfactory quality without significant cost increases.