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With the rapid development of the logistics industry, the efficient operation of logistics sorting centers is crucial to the entire supply chain's efficiency. Staff scheduling, as a key aspect of the daily operations of sorting centers, directly impacts the control of labor costs and the job satisfaction of employees. To address the scheduling problem and enhance operational efficiency, this study proposes a personnel scheduling optimization model for logistics sorting centers based on linear programming and heuristic algorithms. Firstly, this paper analyzes the sorting center's cargo volume data and staffing requirements, clarifying the goal of scheduling optimization to meet workload demands while minimizing the total number of workdays, taking into account the different characteristics of regular and temporary workers, as well as legal regulations on working hours. Subsequently, a standard linear programming model is constructed, with the number of regular and temporary workers for each shift of every day as decision variables, to minimize the total workdays through linear optimization. However, due to the expansion of the problem scale, the solution time for the linear programming model has increased significantly. Therefore, a heuristic search algorithm is introduced to find an approximate optimal solution. Ultimately, through the analysis of actual cases, the effectiveness and practicality of the proposed model and algorithm are verified. This study's research not only provides a new method for personnel scheduling optimization in logistics sorting centers but also offers a reference for other industries requiring personnel scheduling optimization. Future research can further explore the applicability of the model in sorting centers of different scales.
Tian et al. (Wed,) studied this question.
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