关键词: 机动卫勤分队, 铁路运输, 装载决策, 模型

Abstract: Railway transportation is the main way for the army to deploy troops and transport equipment over long distances. Currently, with the need for troops to conduct realistic combat training, cross-regional exercises and training have become a routine work. Railway transportation has gradually become the primary mode of cross-regional mobility for mobile medical service teams in the army, which are usually equipped with a variety of medical equipment and supplies. This involves complex affairs, high transportation requirements, and significant difficulties in logistics support, making the organizational procedures more complicated. However, most mobile medical teams established on the basis of the army hospitals lack professional military transportation personnel. The lack of professionalism among the commanding officers of mobile medical units can lead to unreasonable railway transportation loading schemes and loading errors, resulting in delays in the departure of troops on time.
To further enhance the medical support capabilities of mobile medical teams and optimize the organization and planning of railway transportation loading, this article comprehensively uses integrated optimization methods to study the railway transportation loading decision-making model. The first part of the article aims to address the optimization of loading arrangements for railway transportation of mobile medical service teams. It utilizes a first-fit algorithm, combined with relevant railway transportation regulations, to construct an optimization model for loading arrangements. Users can input specific quantities and models of vehicles or equipment to the model, and quickly calculate the best loading arrangement while minimizing the use of resources. The second part of the research aims to tackle the loading demand issues for railway transportation of mobile medical service teams, on the “arrangement optimization model” from the first part. Based on the mission requirements and operational characteristics of mobile medical units, the calculation methods for the train length, total traction weight, and quantity and quality of the reinforcement equipment required for loading are outlined to derive a loading demand calculation model. The third part of the research focuses on optimizing the workflow for railway transportation of mobile medical units, with a goal to optimize the loading time. Firstly, the duration of various stages of railway transportation loading for mobile medical units is measured through field surveys. Subsequently, by employing integrated optimization analysis methods, the critical path and total duration of the railway transportation loading work are identified, and the workflow is optimized to minimize the loading time. The fourth part of the article conducts model calculations using the example of a mobile medical service team from a hospital organizing long-distance railway transportation in 2021. Through model optimization, the loading cost and time for this mobile medical service team are significantly reduced.
The main focus of this article lies in the cost and time optimization of railway transportation loading. By comprehensively applying the first-fit algorithm and integrated optimization analysis methods, a decision-making model for railway transportation loading of mobile medical service teams is constructed. With the aid of Python programming tools, the model is validated using practical case studies. The model provides accurate and reasonable railway transportation loading solutions for the commanding officers of mobile medical service teams, serving as a valuable decision-making aid in their organizational planning work.

Key words: mobile medical service team, railway transportation, loading decisions, model