A Multi-Objective Vehicle-Cargo Matching Decision Method Considering Market Supply–Demand Fluctuations and Diverse Stakeholder Interests
摘要
The vehicle-cargo matching (VCM) sector within the freight industry faces significant challenges, including substantial fluctuations in vehicle-cargo supply and demand quantities and suboptimal matching efficiency. This study addresses these issues by innovatively establishing a multi-objective VCM decision model and segmenting typical business scenarios based on varying vehicle-cargo supply–demand ratios, with objective functions scientifically set according to the diverse requirements of each participant. This model fully considers the characteristics of the VCM system and is solved using appropriate Kuhn–Munkres (an improved Hungarian algorithm) algorithms to ensure efficient and accurate results. Evaluation indicators are also innovatively set from both economic and social benefit perspectives, incorporating managerial assessments and corporate development requirements. The study compares the impacts of different objective functions on VCM outcomes across various scenarios. Results indicate that, in most cases, the platform can achieve maximum profits without explicitly targeting profit maximization, thus accommodating other managerial assessment requirements. Compared to previous single-objective function studies, this approach increases economic efficiency by 22.14