Research on the Efficiency of Human-Machine Collaborative Delivery Management for Takeout Riders Under Algorithmic Control
Keywords:
takeout delivery, algorithm management efficiency, DEA-BCC model, human-machine collaboration
Abstract
In the current digital economy era, the takeout industry is expanding, which makes human-machine collaborative delivery management between takeout riders and intelligent algorithms increasingly important. Based on this, this paper takes takeout riders as Decision Making Units to study the management efficiency of the delivery algorithm from the perspective of input and output. Firstly, a comprehensive evaluation index system for input and output is constructed. Secondly, the entropy method is used to obtain the weights of the delivery input indicators at all levels and the comprehensive input index. Then, the output-oriented DEA-BCC model is established by combining the comprehensive input index and several delivery output indicators. Finally, the efficiency of the delivery algorithm in managing takeout riders is evaluated using the results calculated from the DEA-BCC model. Additionally, this paper also proposes suggestions for personalized human-machine collaborative delivery management in terms of quantity, quality and safety based on the slack variables of the output indicators.
References
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Ali, A. I., & Seiford, L. M. (1993). Computational Accuracy and Infinitesimals In Data Envelopment Analysis. INFOR: Information Systems and Operational Research, 31(4), 290–297. https://doi.org/10.1080/03155986.1993.11732232
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Chen, L. (2020). Labor order under digital control: A study on the labor control of takeout platform riders (in Chinese). Sociological Studies, 35(6), 113-135+244. https://doi.org/10.19934/j.cnki.shxyj.2020.06.006
Fan, H., Xian, F., & Wang, H. (2023). Takeout distribution routes optimization considering order clustering under dynamic demand (in Chinese). Journal of System Simulation, 35(2), 396–407. https://doi.org/10.16182/j.issn1004731x.joss.21-0965
Feng, J., Yin, G., Liang, J., Zhuang, W., Peng, P., Lu, Y., Cai, G., & Xu, L. (2024). Human-machine Cooperative Control Framework for Intelligent Vehicle Considering Intervention Punishment (in Chinese). Journal of Mechanical Engineering, 60(14), 238–251. https://doi.org/10.3901/JME.2024.14.238
Fu, Y. (2021). On delivery-men’s alternative strategies and cooperation relationship from the labor scene perspective (in Chinese). Expanding Horizons, 6, 84-89+116.
Geng, B., & Varshney, P. K. (2022). Human-machine collaboration for smart decision making: Current trends and future opportunities. 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC), 61–67. https://doi.org/10.1109/CIC56439.2022.00019
Guo, S., & Zhang, J. (2018). Comparison of the S&T innovation efficiency and input redundancy of China’s 31 provinces (in Chinese). Science Research Management, 39(4), 55–63. https://doi.org/10.19571/j.cnki.1000-2995.2018.04.006
Hu, M., & Chen, S. (2023). Efficiency measurement and spatiotemporal evolution analysis of medical and health resource allocation (in Chinese). Statistics & Decision, 39(1), 72–76. https://doi.org/10.13546/j.cnki.tjyjc.2023.01.013
Huang, D. (2023). Research on the impact of platform algorithmic management on workers’ job stress—Takeout riders as an example (in Chinese). Enterprise Reform and Management, 7, 67–69. https://doi.org/10.13768/j.cnki.cn11-3793/f.2023.0366
Kanarik, K. J., Osowiecki, W. T., Lu, Y. (Joe), Talukder, D., Roschewsky, N., Park, S. N., Kamon, M., Fried, D. M., & Gottscho, R. A. (2023). Human–machine collaboration for improving semiconductor process development. Nature, 616(7958), 707–711. https://doi.org/10.1038/s41586-023-05773-7
Lai, Y. (2020, September 8). Takeout riders, stuck in the system (in Chinese). Retrieved from https://baijiahao.baidu.com/s?id=1677231323622016633&wfr=spider&for=pc
Li, N., Lv, L., & Liu, P. (2024). Research on the measurement and spatial differences of technological innovation efficiency in local universities (in Chinese). Statistics & Decision, 40(14), 79–83. https://doi.org/10.13546/j.cnki.tjyjc.2024.14.014
Li, Y., Yuan, T., & Rao, P. (2024). Algorithm awareness factors and their influences of the gig work: A study of the food delivery workers (in Chinese). Industrial Engineering and Management, 29(04), 1–10. https://doi.org/10.19495/j.cnki.1007-5429.2024.04.001
Liu, T., & You, H. (2024). Human-machine collaborative decision-making for transportation scheduling optimization (in Chinese). Journal of Transportation Systems Engineering and Information Technology, 24(2), 136–148. https://doi.org/10.16097/j.cnki.1009-6744.2024.02.014
Meituan. (2024). 2023 Meituan rider rights protection social responsibility report (in Chinese). Retrieved from https://about.meituan/csr/people/couriers-development/meituan
Shein, G. S., Brodie, R., & Mintz, Y. (2023). Human-Machine Collaboration in AI-Assisted Surgery: Balancing Autonomy and Expertise. In Artificial Intelligence in Medicine and Surgery—An Exploration of Current Trends, Potential Opportunities, and Evolving Threats—Volume 1. IntechOpen. https://doi.org/10.5772/intechopen.111556
Shen, J. (2022). Dual uncertainties and the takeout riders’ emotional labor (in Chinese). Youth Studies, 2, 14-25+94.
Sunshine HaiNa. (2025). Guizhou Sunshine HaiNa Eco-Agriculature Co.,Ltd (in Chinese). Retrieved from https://www.yangguanghaina.com/
Wang, D., Qiao, F., Guan, L., Liu, J., & Ding, C. (2022). Human–Machine Collaborative Decision-Making Method Based on Confidence for Smart Workshop Dynamic Scheduling. IEEE Robotics and Automation Letters, 7(3), 7850–7857. https://doi.org/10.1109/LRA.2022.3185369
Wang, L., Li, R., & Chen, J. (2024). A swarm intelligence optimization algorithm for human-robot collaborative energy-efficient shop scheduling (in Chinese). Scientia Sinica Technologica, 54(9), 1676–1692. https://doi.org/10.1360/SST-2023-0341
Wang, Y. J. (2024). Measuring power consumption efficiency of an electromechanical system within a long-term period by fuzzy DEA and TOPSIS for sustainability. Soft Computing, 28, 7321–7339. https://doi.org/10.1007/s00500-023-09581-z
Xia, S., & Jiang, H. (2023). Study on Optimization of Takeout Delivery Route in the Crowdsourcing Model. 2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 6, 924–928. https://doi.org/10.1109/ITNEC56291.2023.10082480
Xiang, F., & Wu, W. (2021). Research on Emotional Labor and Management of Takeaway Delivery Staff. 485–489. https://doi.org/10.2991/assehr.k.210121.100
Zhang C., Liu W., Qiu Y., & Xie W. (2024). Evaluation of technological innovation efficiencies of CNC machine tools listed enterprises and the impact of national science and technology major projects: Based on three-stage DEA model and malmquist productivity index (in Chinese). Science of Science and Management of S.&T., 45(1), 47–61. Retrieved from https://www.ssstm.org/CN/Y2024/V45/I01/47
Zhang, M., Wu, J., Wu, X., & Zheng, Y. (2022). Hybrid evolutionary optimization for takeaway order selection and delivery path planning utilizing habit data. Complex & Intelligent Systems, 8(6), 4425–4440. https://doi.org/10.1007/s40747-021-00410-0
Zhang, W., Zhao, F., Li, Y., Chen, Q., Qiao, G., Wang, X., & Zhang, H. (2023). Efficiency analysis of Henan science and technology finance based on DEA-BCC model (in Chinese). Henan Science and Technology, 42(16), 138–143. https://doi.org/10.19968/j.cnki.hnkj.1003-5168.2023.16.029
Zhang Y., Qiu D., Zhang B., & Chen Y. (2023). Comprehensive evaluation of DC-DC converters based on analytic hierarchy process and entropy method (in Chinese). Journal of Beijing University of Aeronautics and Astronautics, 1–14. https://doi.org/10.13700/j.bh.1001-5965.2023.0291
Zhang Z., Li Y., Zhang M., & Ao F. (2024). Pathways for enhancing the technological efficiency of agricultural diesel from the perspective of the level of farmland suitability for agricultural machinery operations (in Chinese). Transactions of the Chinese Society of Agricultural Engineering, 40(19), 62–71. https://doi.org/10.11975/j.issn.1002-6819.202404019
Zhou, C., Lyu, B., Zhou, H., & Lu, H. (2022). Optimization model and algorithm for Online to Offline dynamic take-out delivery routing problem centered on business districts (in Chinese). Operations Research Transactions, 26(3), 17–30. https://doi.org/10.15960/j.cnki.issn.1007-6093.2022.03.002
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2025-01-17
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