The Delivery Vehicle Scheduling Considering Agents′ Perception Satisfaction toward Waiting Time
HUANG Yiping
YANG Qin
LI Qing
ZHANG Wei
Abstract：To enhance customer satisfaction and reduce transportation costs, a scientific and reasonable express vehicle scheduling scheme is formulated. Taking the customer as behavior subject, and firstly, combining realistic situation and cognitive psychology, the customer′s perception of waiting time is analyzed. Customer waiting time perception satisfaction function is built by incorporating the fuzzy theory into the prospect theory; secondly, the problem can be described by a triplet methodα/β/γ, and perception satisfaction can be obtained with maximizing average customer waiting time and minimizing the transportation mileage of the express vehicle. Then, Plant Growth Simulation Algorithm (PGSA) is designed to solve this scheduling model. Finally, combined with the actual data, the MATLAB software is used to solve the numerical simulation, and the results show that: comparing with Saving Algorithm, PGSA achieved the value of the objective function by an increase of 0.2876, and that the effectiveness of the algorithm is verified, and that specifically, the balanced optimization of the interests of customers and logistics enterprises is realized.
Keywords：perception toward waiting timedelivery vehiclesprospect theoryplant growth simulation algorithmsaving mileage algorithmoptimal scheduling
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 31-36,48 )