Designing a Multi-Stage Transport System Serving e-Commerce Activity

In this paper, the author designs an e-commerce transport system, which covers locations of producers’ facilities, distribution warehouses, and business customers deliveries among them. The study aims to identify best for warehouses increase efficiency in multi-stage systems. To reach goal, revises distance metrics suggests a methodological framework useful warehouse location selection practical applications. empirical research is delivered by selecting using maximal coverage model mandatory closeness condition. After analyzing four warehouses’ alternatives, results are presented applying various metrics. show that main depends on level returns defined Mersenne Twister algorithm, calculation representing differences ranking. By end study, recommendation given apply approach decision-makers seeking improve service distances where decisions made path-based criteria. important from policy development perspective, as findings could help reduce delivery costs customers.