راضيه حيدري آقداش

The Vehicle Routing Problem (VRP) stan‎ds as one of the fundamental challenges in logistics an‎d transportation management, where its efficient solution directly impacts the success of distribution operations an‎d service delivery. Given the inherent complexity of this problem, particularly in dynamic an‎d uncertain environments, the need for developing intelligent decision support tools has become increasingly critical. This research aims to design an integrated Decision Support System (DSS) for VRP that incorporates both initial planning an‎d real-time replanning capabilities. The systemʹs core approach is based on resilience an‎d consistency thinking, which provides the logistics network with the ability to absorb an‎d withstan‎d disruptions through three key factors: preparedness, flexibility, an‎d redundanc. From an innovation perspective, this study makes several important contributions: First, it integrates the concept of resilience into the operational planning of logistics services. Second, it provides a framework to support transportation companiesʹ decision-making in real-time operational conditions. Third, it employs predictive methods to manage various sources of dynamism. Fourth, it develops a bi-objective two-stage stochastic programming model that simultaneously minimizes total costs an‎d reduces route inconsistency. Finally, considering the problemʹs computational complexity, a novel hybrid metaheuristic algorithm combining multi-objective particle swarm optimization with learning-based local search has been designed, with computational experiments confirming its efficiency an‎d validity. This research was inspired by the operational challenges of a comprehensive networked clinical laboratory platform seeking to improve efficiency in medical sample collection an‎d delivery. Findings indicate that centralized planning can enhance route resilience while reducing replanning costs. Additionally, the effectiveness of resilience-enhancement strategies is significantly influenced by the source an‎d level of uncertainty.

مسئله مسيريابي وسايل نقليه , سيستم پشتيبان تصميم , تاب‌آوري , سازگاري , فراابتكاري

Vehicle Routing Problem , Decision Support System , Resilience , Route Consistency , Metaheuristics

Razieh Heidari-Aghdash

Dr. Mehdi Ghazanfari - Dr. Mohammad Reza Rasouli