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On-line scheduling of order picking and delivery with multiple zones and limited vehicle capacity

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  • Zhang, Jun
  • Wang, Xuping
  • Huang, Kai

Abstract

We consider the on-line business-to-customer (B2C) e-commerce supply chain scheduling problem where customers generate orders on-line that have to be picked from the shelves in a warehouse and delivered to the customers in different zones. The problem is identified as a specific integrated production–delivery problem, named on-line order picking and delivery problem with multiple delivery zones and limited vehicle capacity. The orders are grouped into batches and delivered to their assigned zones by the capacitated vehicles. The objective is to minimize the total cost, which is the sum of the makespan and the delivery cost. We present an on-line 4-competitive algorithm by integrating the existing methods for the on-line integrated production–delivery problem, the on-line batching machine problem, and the on-line order batching problem. Our extensive numerical experiments show that the proposed algorithm is robust and efficient. Moreover, through the comparison with the benchmark, it is demonstrated that the proposed model can lead to a substantial reduction of both the total cost and the delivery cost.

Suggested Citation

  • Zhang, Jun & Wang, Xuping & Huang, Kai, 2018. "On-line scheduling of order picking and delivery with multiple zones and limited vehicle capacity," Omega, Elsevier, vol. 79(C), pages 104-115.
    • Handle: RePEc:eee:jomega:v:79:y:2018:i:c:p:104-115
    DOI: 10.1016/j.omega.2017.08.004
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    References listed on IDEAS

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    Cited by:

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    2. Jiang, Min & Huang, George Q., 2022. "Intralogistics synchronization in robotic forward-reserve warehouses for e-commerce last-mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    3. Zhang, Jun & Liu, Feng & Tang, Jiafu & Li, Yanhui, 2019. "The online integrated order picking and delivery considering Pickers’ learning effects for an O2O community supermarket," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 180-199.
    4. Fangyu Chen & Gangyan Xu & Yongchang Wei, 2019. "An Integrated Metaheuristic Routing Method for Multiple-Block Warehouses with Ultranarrow Aisles and Access Restriction," Complexity, Hindawi, vol. 2019, pages 1-14, June.
    5. Zhong, Shuya & Giannikas, Vaggelis & Merino, Jorge & McFarlane, Duncan & Cheng, Jun & Shao, Wei, 2022. "Evaluating the benefits of picking and packing planning integration in e-commerce warehouses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 67-81.
    6. Ellegood, William A. & Solomon, Stanislaus & North, Jeremy & Campbell, James F., 2020. "School bus routing problem: Contemporary trends and research directions," Omega, Elsevier, vol. 95(C).
    7. Yong-Jae Kim & Byung-Soo Kim, 2022. "Population-Based Meta-Heuristic Algorithms for Integrated Batch Manufacturing and Delivery Scheduling Problem," Mathematics, MDPI, vol. 10(21), pages 1-22, November.
    8. Yuyan Wang & Zhaoqing Yu & Liang Shen & Wenquan Dong, 2021. "E-Commerce Supply Chain Models under Altruistic Preference," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    9. Sergio Gil-Borrás & Eduardo G. Pardo & Antonio Alonso-Ayuso & Abraham Duarte, 2020. "GRASP with Variable Neighborhood Descent for the online order batching problem," Journal of Global Optimization, Springer, vol. 78(2), pages 295-325, October.

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