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Multi-Objective Optimization for Order Assignment in Food Delivery Industry with Human Factor Considerations

Author

Listed:
  • Zhilan Lou

    (School of Data Sciences, Zhejiang University of Finance & Economics, Hangzhou 310018, Zhejiang, China)

  • Wanchen Jie

    (Department of Information Management and Artificial Intelligence, Zhejiang University of Finance & Economics, Hangzhou 310018, Zhejiang, China)

  • Shuzhu Zhang

    (Department of Information Management and Artificial Intelligence, Zhejiang University of Finance & Economics, Hangzhou 310018, Zhejiang, China)

Abstract

The order assignment in the food delivery industry is of high complexity due to the uneven distribution of order requirements and the large-scale optimization of workforce resources. The delivery performance of employees varies in different conditions, which further exacerbates the difficulty of order assignment optimization. In this research, a non-linear multi-objective optimization model is proposed with human factor considerations in terms of both deteriorating effect and learning effect, in order to acquire the optimal solutions in practice. The objectives comprised the minimization of the operational cost in multiple periods and the workload balancing among multiple employees. The proposed model is further transformed to a standardized mixed-integer linear model by the exploitation of linearization procedures and normalization operations. Numerical experiments show that the proposed model can be easily solved using commercial optimization softwares. The results indicate that the variance of employee performance can affect the entire delivery performance, and significant improvement of workload balancing can be achieved at the price of slight increase of the operational cost. The proposed model can facilitate the decision-making process of order assignment and workforce scheduling in the food delivery industry. Moreover, it can provide managerial insights for other labor-intensive service-oriented industries.

Suggested Citation

  • Zhilan Lou & Wanchen Jie & Shuzhu Zhang, 2020. "Multi-Objective Optimization for Order Assignment in Food Delivery Industry with Human Factor Considerations," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7955-:d:419672
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    References listed on IDEAS

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    Cited by:

    1. Sunarso Radhitya V.P. & Wibowo Budhi S., 2023. "The Impact of Consolidating On-Demand Food Delivery on Sustainability: A Simulation Study," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 286-297, January.

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