International Journal of Engineering

International Journal of Engineering

A Multi-objective Optimization Model for Intelligent Information Management in Resource-Constrained Road and Transportation Projects

Document Type : Original Article

Authors
S. K. Mousavi 1
S. A. Hosseini 2
H. R. Vosoughifar 2
R. Barandoust 3
G. Mohammadi 4
1 Department of Civil Engineering, Construction Management, ST.C., Islamic Azad University, Tehran, Iran
2 Department of Civil Engineering, ST.C., Islamic Azad University, Tehran, Iran
3 Department of Industrial Management, YI.C., Islamic Azad University, Tehran, Iran
4 Department of Mining Engineering, ST.C., Islamic Azad University, Tehran, Iran
10.5829/ije.2026.39.08b.14
Abstract
This study proposes a mathematical model to optimize information management in road and transportation contracting projects under resource constraints, utilizing Critical Chain Project Management (CCPM). A multi-objective optimization framework is developed for multi-project scheduling, balancing time, cost, and quality as core performance indicators. The Particle Swarm Optimization (PSO) algorithm is employed to solve the model due to its efficiency in handling complex, nonlinear problems. The model is validated through a case study of three real-world projects encompassing 24 activities with diverse resource constraints. Compared to the traditional Critical Path Method (CPM), the CCPM-based approach reduces total duration from 68 to 47 days, total cost from 108,680 to 63,710 units, and improves the quality index from 0.412 to 0.5764, achieving a 21-day time saving, 25.97% cost reduction, and 40% quality improvement. Sensitivity analysis reveals that resource availability, particularly resources K2 and K3, significantly impacts outcomes, with K2 limitations increasing duration to 84 days and cost to 88,110 units, and K3 limitations extending duration to 81 days and cost to 86,910 units. These findings demonstrate the model’s effectiveness in enhancing decision-making and resource planning in complex construction environments.

Graphical Abstract

A Multi-objective Optimization Model for Intelligent Information Management in Resource-Constrained Road and Transportation Projects
Keywords
Project Information Management
Critical Chain
Resource Constraints
Particle Swarm Optimization
Multi-project Scheduling

Subjects

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International Journal of Engineering
Volume 39, Issue 8
TRANSACTIONS B: Applications
August 2026
Pages 1953-1975