Optimization of cold chain logistics distribution path for customer classification based on combination empowerment

Qijie Tang; Nannan Yan

doi:10.1117/12.3040400

28 August 2024 Optimization of cold chain logistics distribution path for customer classification based on combination empowerment

Qijie Tang, Nannan Yan

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132513Y (2024) https://doi.org/10.1117/12.3040400
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

Under the trend of big data, the long-term development of cold chain distribution companies, in addition to path planning, is increasingly inseparable from refined management of customers. Exploring customer value based on customer historical order records and rationally allocating limited distribution resources has become one of the development needs of various enterprises. This article establishes evaluation indicators through customer historical consumption orders, and uses the DBSCAN algorithm to implement customer classification after weighting. Different customer penalty costs are established according to different customer categories. At the same time, considering that customers will be dissatisfied with product quality after timeout, an overtime quality penalty cost is established. Based on the characteristics of the problem, a hybrid genetic particle swarm algorithm was designed to solve the problem, and compared with the distribution costs of unclassified customers, the effectiveness of the algorithm and model was verified.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qijie Tang and Nannan Yan "Optimization of cold chain logistics distribution path for customer classification based on combination empowerment", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132513Y (28 August 2024); https://doi.org/10.1117/12.3040400

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available