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Location-Routing Problem with Simultaneous Home Delivery and Customer’s Pickup for City Distribution of Online Shopping Purchases

Author

Listed:
  • Lin Zhou

    (College of Mechanical Engineering, Chongqing University, Chongqing 400030, China)

  • Xu Wang

    (Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China
    State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China)

  • Lin Ni

    (College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
    Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China)

  • Yun Lin

    (College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
    Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China)

Abstract

With the increasing interest in online shopping, the Last Mile delivery is regarded as one of the most expensive and pollutive—and yet the least efficient—stages of the e-commerce supply chain. To address this challenge, a novel location-routing problem with simultaneous home delivery and customer’s pickup is proposed. This problem aims to build a more effective Last Mile distribution system by providing two kinds of service options when delivering packages to customers. To solve this specific problem, a hybrid evolution search algorithm by combining genetic algorithm (GA) and local search (LS) is presented. In this approach, a diverse population generation algorithm along with a two-phase solution initialization heuristic is first proposed to give high quality initial population. Then, advantaged solution representation, individual evaluation, crossover and mutation operations are designed to enhance the evolution and search efficiency. Computational experiments based on a large family of instances are conducted, and the results obtained indicate the validity of the proposed model and method.

Suggested Citation

  • Lin Zhou & Xu Wang & Lin Ni & Yun Lin, 2016. "Location-Routing Problem with Simultaneous Home Delivery and Customer’s Pickup for City Distribution of Online Shopping Purchases," Sustainability, MDPI, vol. 8(8), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:828-:d:76462
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    References listed on IDEAS

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    Cited by:

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    4. Yu Wang (Avery. W) & Yi Wang & Soo Hee Lee, 2017. "The Effect of Cross-Border E-Commerce on China’s International Trade: An Empirical Study Based on Transaction Cost Analysis," Sustainability, MDPI, vol. 9(11), pages 1-13, November.
    5. Max Leyerer & Marc-Oliver Sonneberg & Maximilian Heumann & Michael H. Breitner, 2019. "Decision support for sustainable and resilience-oriented urban parcel delivery," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 267-300, November.
    6. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    7. Longlong Leng & Yanwei Zhao & Zheng Wang & Jingling Zhang & Wanliang Wang & Chunmiao Zhang, 2019. "A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    8. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    9. Feifeng Zheng & Zhiyu Sun & Ming Liu, 2021. "Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    10. Milica Šelmić & Miloš Nikolić & Aleksandar Čupić, 2020. "Postboxes Quantitative Optimization Model," Sustainability, MDPI, vol. 12(5), pages 1-10, March.
    11. Liyun Lin & Haoying Han & Wanglin Yan & Shun Nakayama & Xianfan Shu, 2019. "Measuring Spatial Accessibility to Pick-Up Service Considering Differentiated Supply and Demand: A Case in Hangzhou, China," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    12. John Olsson & Daniel Hellström & Henrik Pålsson, 2019. "Framework of Last Mile Logistics Research: A Systematic Review of the Literature," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    13. Seung Yoon Ko & Sung Won Cho & Chulung Lee, 2018. "Pricing and Collaboration in Last Mile Delivery Services," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    14. Vincent F. Yu & Hadi Susanto & Yu-Hsuan Yeh & Shih-Wei Lin & Yu-Tsung Huang, 2022. "The Vehicle Routing Problem with Simultaneous Pickup and Delivery and Parcel Lockers," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    15. Anna Sciomachen & Maria Truvolo, 2023. "An Exact Approach for Selecting Pickup-Delivery Stations in Urban Areas to Reduce Distribution Emission Costs," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    16. Asma Troudi & Sid-Ali Addouche & Sofiene Dellagi & Abderrahman El Mhamedi, 2018. "Sizing of the Drone Delivery Fleet Considering Energy Autonomy," Sustainability, MDPI, vol. 10(9), pages 1-17, September.

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