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Urban delivery of fresh products with total deterioration value

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  • Jingyi Chen
  • Tijun Fan
  • Fei Pan

Abstract

The deterioration of fresh products is often severe during fresh product delivery in urban areas, which is a significant challenge. We propose a novel model for the urban delivery of fresh products with different perishability. The objective of this model is to minimise the total deterioration value (TDV) and distance travelled. The TDV is related to the perishability, deterioration rates and quantities of different fresh products. A customised genetic algorithm is proposed to solve the model. The fitness value is calculated according to the preferential delivery of fresh products with high deterioration rates. Finally, a case study of fresh product delivery for a company in Shanghai is explored to assess the effectiveness of the proposed model. The results show that the proposed approach can lead to the highest drop of 11.8% of TDV compared to that based on the traditional shortest-path model.

Suggested Citation

  • Jingyi Chen & Tijun Fan & Fei Pan, 2021. "Urban delivery of fresh products with total deterioration value," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2218-2228, April.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:7:p:2218-2228
    DOI: 10.1080/00207543.2020.1828638
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    Cited by:

    1. Hongli Zhu & Congcong Liu & Guanghua Wu & Yanjun Gao, 2023. "Cold Chain Logistics Network Design for Fresh Agricultural Products with Government Subsidy," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    2. Qingren He & Shuting Li & Fei Xu & Wanhua Qiu, 2022. "Deep-Processing Service and Pricing Decisions for Fresh Products with the Rate of Deterioration," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    3. Feng Yang & Zhong Wu & Xiaoyan Teng & Shaojian Qu, 2022. "Robust Counterpart Models for Fresh Agricultural Product Routing Planning Considering Carbon Emissions and Uncertainty," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    4. Xiaxia Ma & Wenliang Bian & Wenchao Wei & Fei Wei, 2022. "Customer-Centric, Two-Product Split Delivery Vehicle Routing Problem under Consideration of Weighted Customer Waiting Time in Power Industry," Energies, MDPI, vol. 15(10), pages 1-23, May.

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