Collaborative Intuitionistic Fuzzy-AHP to Evaluate Simulation-Based Analytics for Freight Transport

Around the world, transportation and logistics sector is facing economic disruptions due to geopolitical tensions and post-Covid-19 global economic downturns. This disruption puts more pressure on transportation companies to review their work methods and processes. Coupling a data-driven and a model-driven approach is essential to develop an effective and efficient resilience strategy. To address this issue, this work provides an overview of how simulation appears in business analytics. However, a thorough review of the literature based on PRISMA search process allowed us to identify that none of the previous studies were able to highlight the role as well as the evaluation of the hybridization between business analytics and simulation and their joint use in freight transportation. Moreover, the study proposes a collaborative framework based on the Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) technique for selecting a Business Analytics-enabled Simulation architecture. This paper contributes to the freight transport sector by setting up an updated list of criteria and sub-criteria necessary for a business analytics evaluation and enriches the literature by applying the IF-AHP technique to a concrete case of implementing data analytics and simulation. This study also suggests future directions to enrich the academic literature and offer insights to improve the Framework for other use cases.