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Collaboration Model for Service Clustering in Last-Mile Delivery

Author

Listed:
  • Seung Yoon Ko

    (Department of Industrial Engineering, Seoul National University, Gwanak-ro, Gwanak -gu, Seoul 08826, Korea)

  • Ratna Permata Sari

    (Department of Industrial and Management Engineering, Kyungsung University, 309 Suyeong-ro, Nam-gu, Busan 48434, Korea)

  • Muzaffar Makhmudov

    (Department of Industrial and Management Engineering, Kyungsung University, 309 Suyeong-ro, Nam-gu, Busan 48434, Korea)

  • Chang Seong Ko

    (Department of Industrial and Management Engineering, Kyungsung University, 309 Suyeong-ro, Nam-gu, Busan 48434, Korea)

Abstract

As e-commerce is rapidly expanding, efficient and competitive product delivery system to the final customer is highly required. Recently, the emergence of a smart platform is leading the transformation of distribution, performance, and quality in express delivery services, especially in the last-mile delivery. The business to consumer (B2C) through smart platforms such as Amazon in America and Coupang in Korea utilizes the differentiated delivery rates to increase the market share. In contrast, the small and medium-sized express delivery companies with low market share are trying hard to expand their market share. In order to fulfill all customer needs, collaboration is needed. This study aims to construct a collaboration model to maximize the net profit by considering the market density of each company. A Baduk board game is used to derive the last-mile delivery time function of market density. All companies in collaboration have to specialize the delivery items into certain service clustering types, which consist of regular, big sized/weighted, and cold items. The multi-objective programming model is developed based on max-sum and max-min criteria. The Shapley value and nucleolus approaches are applied to find the profit allocation. Finally, the applicability of the proposed collaboration model is shown through a numerical example.

Suggested Citation

  • Seung Yoon Ko & Ratna Permata Sari & Muzaffar Makhmudov & Chang Seong Ko, 2020. "Collaboration Model for Service Clustering in Last-Mile Delivery," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5844-:d:387190
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    References listed on IDEAS

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    2. Tomáš Settey & Jozef Gnap & Dominika Beňová & Michal Pavličko & Oľga Blažeková, 2021. "The Growth of E-Commerce Due to COVID-19 and the Need for Urban Logistics Centers Using Electric Vehicles: Bratislava Case Study," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    3. Feng Li & Zhi-Ping Fan & Bing-Bing Cao & Xin Li, 2020. "Logistics Service Mode Selection for Last Mile Delivery: An Analysis Method Considering Customer Utility and Delivery Service Cost," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    4. Filip Škultéty & Dominika Beňová & Jozef Gnap, 2021. "City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    5. Feng Li & Zhi-Ping Fan & Bing-Bing Cao & Hai-Mei Lv, 2020. "The Logistics Service Mode Selection for Last Mile Delivery Considering Delivery Service Cost and Capability," Sustainability, MDPI, vol. 12(19), pages 1-17, September.

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