Paper
23 May 2023 Optimization of multi-objective fresh food e-commerce delivery route with fuzzy time window
Jiajie Li
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126044H (2023) https://doi.org/10.1117/12.2674681
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
In order to optimize the B2C fresh food delivery process of "home" mode of merchant self-operated delivery, this paper takes the highest customer satisfaction and minimum total cost as the goal, and considers the characteristics of instant logistics fresh food delivery and the real-time order in the condition of the delivery orders arrive in real time. A multiobjective vehicle routing optimization model with fuzzy time window for instant logistics fresh food delivery was constructed. According to the idea of single-order distribution, an improved ant colony algorithm based on rolling timedomain delayed distribution was designed to solve the problem, and the optimal combination of distribution cost and customer satisfaction was obtained.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiajie Li "Optimization of multi-objective fresh food e-commerce delivery route with fuzzy time window", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126044H (23 May 2023); https://doi.org/10.1117/12.2674681
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KEYWORDS
Fuzzy logic

Mathematical optimization

Design and modelling

Data modeling

Industry

Mathematical modeling

Transportation

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