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Title: Optimizing terminal delivery of perishable products considering customer satisfaction
Authors: Wang, XP
Sun, XY
Dong, J
Wang, M
Ruan, JH 
Issue Date: 2017
Publisher: Hindawi Publishing Corporation
Source: Mathematical problems in engineering, 2017, 8696910 How to cite?
Journal: Mathematical problems in engineering 
Abstract: Freshness of products and timeliness of delivery are two critical factors which have impact on customer satisfaction in terminal delivery of perishable products. This paper investigates how to make a cost-saving vehicle scheduling for perishable products by maximizing customer satisfaction. Customer satisfaction is defined from the two aspects of freshness and time window. Then we develop a priority function based on customer satisfaction and use the hierarchical clustering method to identify customer service priority. Based on the priority, amultiobjective vehicle scheduling optimization model for perishable products is formulated to maximize customer satisfaction and minimize total delivery costs. To solve the proposed model, a priority-based genetic algorithm (PB-GA) is designed. Numerical experiments and sensitivity analysis are performed to show the validity and advantage of our approach. Results indicate that PB-GA can achieve better solutions than traditional genetic algorithm. The improvement of customer satisfaction is higher than the decrease rate of total costs within a certain shelf life range, which reveals that the proposed method is applicable to the terminal delivery of perishable products.
ISSN: 1024-123X
EISSN: 1563-5147
DOI: 10.1155/2017/8696910
Rights: Copyright © 2017 Xuping Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following article: Xuping Wang, Xiaoyu Sun, Jie Dong, Meng Wang, and Junhu Ruan, “Optimizing Terminal Delivery of Perishable Products considering Customer Satisfaction,” Mathematical Problems in Engineering, vol. 2017, Article ID 8696910, 12 pages, 2017 is available at
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