Motorbike Courier’s Performance Evaluation in Real-time Distribution Industry Based on the Hesitant Fuzzy Linguistic PROMETHEE Method

Abstract

The rapid development of the Internet and the accelerated pace of people’s lives have gradually changed people’s consuming habit, which also contribute to the development of Real-time Distribution Industry. Real-time delivery differs from traditional service- Instead of long distances, this industry often serves customers within 5km. The delivery is carried out by motorbike couriers which requires striking a good balance between speedy on time delivery without endangering public safety. Unfortunately, when it comes into courier performance evaluation, currently the majority of the industry heavily emphasize on improving business operation efficiency and pretty much ignore the problems with public safety. Such attitude is reflected on the large amount of quantitative research and evaluating methods on the subject. While qualitative research with regard to ensuring public safety was few and far between. This paper seeks to readdress this current imbalance by adopting a sustainable development approach as a research perspective. Its aim was to create a new performance evaluation system by taking social public safety into account. Under the new system, couriers are measured under five dimensions: “service performanceâ€, â€safety assuranceâ€, “health awarenessâ€, “work attitude†and “business skillsâ€. The paper then adopts the Hesitant Fuzzy Linguistic PROMETHEE Method to rank and sort the performance of each motorbike courier. Finally, through the empirical analysis of the M take-out platform, it provides important application value for the sustainable development of the motorbike courier’s performance evaluation problem for the Real-time Distribution Industry.