Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019

ISBN: 9786027060470


Locker Facility Allocation for Delivery of Goods in the E-Commerce Business

Oki Anita Candra Dewi
Universitas Internasional Semen Indonesia

Siti Nurminarsih
Universitas Internasional Semen Indonesia

Maulin Masyito Putri
Universitas Internasional Semen Indonesia

Muhammad Faisal Ibrahim
Universitas Internasional Semen Indonesia

Winda Narulidea
Universitas Internasional Semen Indonesia

In urban logistics, long distance shipments from warehouses to consumer are becoming difficult with continued e-commerce growth. This requires complex planning and scheduling to minimize global travel costs, but often experiences challenges such as lowering the economies of scale in the transportation system, including high levels of load fragmentation and low use of vehicle load compartments. In this study, we propose allocation of locker facilities for delivery point of goods in the e-commerce business. Automatic lockers are spread out at the location determined from the model developed in this study. This locker serves as an effective alternative solution to a gathering point of goods sent by the seller, as well as a gathering point for end customers who take items purchased from the e-commerce. We specifically discuss the set covering problem by considering the population density in each region. We attempt to optimize the location facilities by providing several options of the scope to cover the maximum customer. This problem is applied to a 42-node census tract representation of city center of Gresik.

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@InProceedings{Dewi2019_OSCMConference_218,
    author = {Dewi, Oki Anita Candra and Nurminarsih, Siti and Putri, Maulin Masyito and Ibrahim, Muhammad Faisal and Narulidea, Winda},
    title = {Locker Facility Allocation for Delivery of Goods in the E-Commerce Business},
    booktitle = {Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019},
    year = {2019},
    doi = {NaN}
}

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