A data-driven decision framework for selecting the best location to establish a manufacturing centre based on Industry 5.0 dimensions

The current study addresses one of the main strategic challenges of logistics managers relevant to selecting the best location for the establishment of the manufacturing sites using a data-driven approach. In this regard, by considering the elements of the recently introduced industrial revolution called Industry 5.0 (I5.0), this research first identifies the major criteria of the research problem based on experts and literature. Then, their importance is measured using the fuzzy Best-Worst Method (BWM). In the next step, the potential points to establish the manufacturing centers are evaluated based on the I5.0 dimensions applying the Light Gradient Boosting Machine (LightGBM) method. The achieved results show that “Land Cost”, “Infrastructure for making facility smart”, “Impact on ecological landscape”, and “Easy commute for workers” are the most significant indicators among the criteria of the research problem.