Abstract
Based on the development needs and realistic environment of o2o meal delivery industry in China. In this paper, the takeout distribution problem (TDP) has been proposed, and the most important customer satisfaction and operation cost in the process of o2o distribution are taken as the optimization objectives. The constraints of this problem are analyzed. Then, A mixed integer programming model with bi-objectives can be established. On this basis, a two-stage solution strategy based on human-computer interaction (HCI) is proposed, and the key technical methods are shown in detail, including coding method, order merging strategy and solving algorithm. Finally, in order to verify the effectiveness of the proposed model and algorithm, the key points of the instance design are proposed. In addition, the display method of the algorithm results is given. Through the Gantt chart display, it is easy to find the problems in the distribution and put forward the improvement methods. In general, this study provides strong support for the sustainable development of o2o distribution platform scheduling system.
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Acknowledgment
This work is supported by project of science and technology research program of Chongqing Education Commission of China (No. KJQN201900107) and project of Chongqing Federation of Social Science Circles (No. 2019PY43).
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Zhang, L., Liao, W. (2020). Interactively Solving the Takeout Delivery Problem Based on Customer Satisfaction and Operation Cost. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1226. Springer, Cham. https://doi.org/10.1007/978-3-030-50732-9_94
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DOI: https://doi.org/10.1007/978-3-030-50732-9_94
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