Inventory-scheduling problem in sustainable project supply chain under uncertainty

Construction project-oriented companies face numerous challenges, including resource constraints, efficient network design for material delivery, an uncertain nature of decision making, and the increasing importance of environmental issues. This paper proposes a multi-objective mixed-integer mathematical model for the optimal management of a construction project supply chain for multi-project scenarios, with the goal of minimizing total costs, tardiness, and environmental impact. The model considers various environmental factors, such as greenhouse gas concentrations, noise, dust emissions, and visual pollution, as well as inventory management to handle resource constraints in a three-echelon supply chain network. To deal with the inherent uncertainty in project duration times, the model uses a robust optimization approach, and a branch-and-cut algorithm is proposed as a solution methodology. The effectiveness of the proposed model is demonstrated through a case study in petroleum construction supply chain. This paper contributes to the field of construction project management by offering an integrated approach that addresses the complex challenges faced by construction project-oriented companies, resulting in improved efficiency, sustainability, and overall performance.