Uguz, HarunGerz, SerkanHakli, HuseyinHaber, Zeynep2026-04-102026-04-1020262071-1050https://hdl.handle.net/20.500.13091/13215https://doi.org/10.3390/su18063156The dispatch planning process plays a central role in liquid transportation, where the accurate selection of trailers, ISO tanks, vehicles, and drivers determines the effectiveness, safety, and cost structure of operations. Each resource has its own technical, regulatory, and operational characteristics, and these characteristics must align with product specifications, transportation routes, loading and delivery conditions, and the current state of the fleet. The breadth of these parameters makes resource selection a highly complex task for planners, especially in environments where rapid decision-making is needed to address changing demands. This study presents a rule-based expert system designed to capture the decision-making logic of experienced professionals and apply it consistently during dispatch planning. The system incorporates 28 decision rules formulated from the collective knowledge of experts working in liquid logistics operations, including planners, industrial engineers, and senior managers. These rules enable the system to evaluate multiple resource combinations and recommend the most suitable allocation for each order. The expert system was evaluated using real operational data obtained from a leading logistics company in Turkey. Comparative results indicate that the system provides more cost-effective, efficient, and balanced dispatch plans than manual planning conducted by an experienced human planner. The system not only improves resource utilization but also reduces planning errors and variations arising from human judgment. Overall, the findings demonstrate that a rule-based expert system can serve as a reliable and scalable decision-support tool for complex dispatch planning problems in liquid transportation, offering consistent performance across different operational scenarios.eninfo:eu-repo/semantics/openAccessLiquid TransportationExpert SystemsResource OptimizationDispatch PlanningRule-Based SystemsArticle10.3390/su18063156