A ROBUST TIME-COST-QUALITY-ENERGY-ENVIRONMENT TRADE-OFF WITH RESOURCE-CONSTRAINED IN PROJECT MANAGEMENT: A CASE STUDY FOR A BRIDGE CONSTRUCTION PROJECT

Sustainable development requires scheduling and implementation of projects by considering cost, environment, energy, and quality factors. Using a robust approach, this study investigates the time-cost-quality-energy environment problem in executing projects and practically indicates its implementation capability in the form of a case study of a bridge construction project in Tehran, Iran. This study aims to take into account the sustain ability pillars in scheduling projects and uncertainties in modeling them. To model the study problem, robust nonlinear programming (NLP) involving the objectives of cost, quality, energy, and pollution level is applied with resource constrained. According to the results, as time diminished, the cost, energy, and pollution initially decreased and then increased, witha reduction in quality. To make the model close to the real world by considering uncertainties, the cost and quality tangibly improved, and pollution and energy consumption declined. We applied the augmented epsilon-constraint method to solve the proposed model. According to the result of the research,with regard to the time-cost, time-quality, time-energy, and time-pollution charts, as uncertainty increases, the cost and quality will improve, and pollution and energy will decrease. The proposed model can be employed for all industrial projects, including roads, construction, and manufacturing.

Automated summary

This study investigates the time-cost-quality-energy environment problem in executing projects and proposes a robust nonlinear programming model to consider sustainability and uncertainties. A case study of a bridge construction project in Iran is used to demonstrate the implementation capability of the proposed model.