abstract
- To address the challenges faced by global operations, top management must react urgently and rapidly. To stay competitive and advance the supply and logistics processes, a management system must be able to respond to the operational requirements and market. One of the mistakes that can be made when it comes to achieving successful operations and supply is the ignorance of the risk and uncertainty that is an inevitable part of leading logistic operations. Sometimes, it is essential to expand the infrastructure and the processes to commit stakeholders and meet customer expectations, in addition to the routine managerial responsibilities. This research aims to model a logistic hub location selection problem to aid logistic managers, enabling them to respond to the market as quickly as possible. We propose a new approach to extended Z-numbers (ZE-numbers) in multi-criteria decision analysis to uncover the reliability and uncertainty in the decision problem. In the developed group decision-making model, we consider the experts' votes and the decision-makers' opinions, assisting logistics managers in locating the most appropriate location for establishing a logistics hub. The ZE-numbers are integrated with the Multi-Attribute Border Approximation Area Comparison (MABAC) and Best-Worst Method (BWM). The outcomes of this study show that cost and infrastructure are the most important indexes for choosing the logistic hub locations for this research. Also, security is determined as the least important index. The findings of this research show that Santander is the top location, and Almeria and Murcia have been deemed less crucial to improving the hub location problem. © 2025 Elsevier B.V.