The Development of a Model for Supply Chain Disruptions Management in Construction Projects

The accomplishment of construction projects requires the use of a significant amount of human, financial, technical, and organizational resources, and any disruption in their supply chain directly threatens the project life and financial resources, and may even cause the project to stop. Thus, identifying the potential disorders, their consequences and risks, and developing strategies to deal with them is of great importance. This research develops one-objective and two-objective mathematical optimization models for the simultaneous selection of suppliers and disorder preventive solutions. The purpose of the first model is to minimize the total of four types of material purchase costs, project completion fines, project activity costs, and material transportation costs. The second model aims to minimize the project completion time and, therefore, the possible delay in the project delivery time. In addition to the direct cost of the fine, this delay significantly reduces the contractor's credit and may lead to the non-conclusion of other contracts. This study also shows how analyzing and comparing the problem-solving results in both single-objective and multi-objective models can help to understand the problem better. We have solved a numerical example with GAMS software and analyzed the sensitivity analysis of the model results to demonstrate that the proposed models are applicable.