Developing Prediction Model of Travel Times of the Logistics Fleets of Large Convenience Store Chains Using Machine Learning
Convenience store chains are many people’s top choice for dining and leisure and have logistics procedures that involve each store receiving multiple deliveries because of the varying delivery periods and suitable temperatures for different goods. The estimated arrival time for each delivery has a h...
Main Authors: | Yang-Kuei Lin, Chien-Fu Chen, Tien-Yin Chou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/6/286 |
Similar Items
-
The success of 7-Eleven Japan : discovering the secrets of the world's best-run convenience chain stores /
by: Ishikawa, Akira, 1934-, et al.
Published: (1998) -
Data mining of Chain convenience stores location
by: Shi Yingfeng, et al.
Published: (2023-01-01) -
Analysis of Shop Sign Colors in Joong-Gu, Seoul — Nadulgage and Convenience Stores
by: SeongJin Kim
Published: (2017-09-01) -
The Impact of Store Atmosphere and Service Convenience on Repurchase Behavior by the Mediation of Consumer Satisfaction in Retail Chain Stores
by: Seyed Abbas Ebrahimi, et al.
Published: (2019-08-01) -
The determinant of customer satisfaction in convenience stores : (a case study of 7-Eleven in Permas Jaya) /
by: 283944 Ling, Shu Fen
Published: (2007)