Development of a sustainable supply chain network for the cement manufacturing industry using real-coded genetic algorithm

This paper addresses a sustainable cement supply chain network problem for an Indian city (Srinagar). The major problem addressed in this research is the dilemma of several sites and selecting sites to set up distribution centers and retail centers for cement supply chain networks. The primary goal of this research work is to focus on sustainable product delivery to clients, which leads us to the topic of facility site selection. The quality of a facility's location has a direct impact on the company's output and operations. As a result, businesses need to develop scientific and effective methodologies for assessing facility location issues and making informed decisions. The conundrum of several sites and picking places to set up distribution centers and retail centers for cement supply chain networks is the key challenge addressed in this research. This research focuses on the current state of the location problem, with an emphasis on the mathematical model and a genetic algorithm in the analysis and analytical approach of the location problem. In this regard, a sustainable supply chain network model has been developed. A real-coded genetic algorithm-based solution approach has been developed for optimizing the sustainable supply chain network design for Srinagar city. Using the input data as a search space for the solving procedure, the resulting solution will provide us with the ideal site selection points. A model for a long-term supply chain network has been established in this regard. For optimizing the sustainable supply chain network architecture for Srinagar city, a real-coded genetic algorithm-based solution strategy has been created. A real-life case study of a cement supply chain network has been considered for validation of the proposed model.