Research on the logistics distribution path of fresh products with time windows

Xinfei Fang

doi:10.1117/12.2674579

23 May 2023 Research on the logistics distribution path of fresh products with time windows

Xinfei Fang

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126044T (2023) https://doi.org/10.1117/12.2674579
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

With the improvement of people's living standards, people have higher and higher requirements on the quality and freshness of fresh products. However, the consumption rate of fresh products is very high, especially in the circulation link. At the same time, retailers will put forward restrictive requirements on delivery time and delivery quality. For distributors, they should consider the impact of factors such as vehicle emissions, perishability of delivered goods on distribution, In order to minimize the distribution cost. Based on the vehicle routing problem under the traditional time window, this paper analyzes the characteristics of fresh product routing and constructs the related cost function. Secondly, from the perspective of the distributor, the basic model of vehicle routing optimization for fresh product distribution is constructed with the goal of minimizing the total cost. At the same time, adaptive genetic algorithm is used to solve the model. Finally, a numerical example is analyzed to verify the rationality and feasibility of the model and algorithm built in this paper, and achieve the goal of optimizing the distribution path and reducing the logistics cost.

Citation Download Citation

Xinfei Fang "Research on the logistics distribution path of fresh products with time windows", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126044T (23 May 2023); https://doi.org/10.1117/12.2674579

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