Sustainable Construction Supply Chain Management Under Uncertainty

Document Type : Research/ Original/ Regular Article

Authors

1 Department of industrial engineering, Faculty of engineering,University of Kurdistan, Sanandaj

2 Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University

Abstract

One of the most essential parts of a supply chain is paying attention to sustainability in order to effectively manage the chain. The supply chain in the construction industry, especially in the supply of materials, has recently received attention due to its significant impact on environmental sustainability and the well-being of communities. This study examines the modeling and design of the construction supply chain by considering the dimensions of sustainability (economic, social, and environmental) with the aim of reducing chain costs under conditions of demand uncertainty. The research focuses on a construction supply chain network design model that includes suppliers, temporary facilities, and project construction centers. Temporary facilities serve as locations to send resource requests to suppliers, receive resources, store, and pre-process resources. The proposed problem is initially designed by considering parameters such as resource demand, purchase and sale price of emitted carbon, job opportunities created, and costs related to the chain. The problem is addressed using a mixed integer linear programming model, with assumptions taken into account.However, since the demand for resources may be uncertain due to reasons such as construction stoppage at the project site (bad weather, suppliers' delays in providing resources, etc.), the probabilistic demand parameter is considered and modeled using a normal distribution. The problem is solved using GAMS software, and sensitivity analysis is performed on key parameters.

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Articles in Press, Accepted Manuscript
Available Online from 30 August 2025
  • Receive Date: 26 November 2024
  • Revise Date: 03 May 2025
  • Accept Date: 30 August 2025
  • Publish Date: 30 August 2025