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

摘要： 随着部队实战化训练的需要,跨区演习和驻训已经成为常态。铁路运输逐渐成为机动卫勤分队跨区机动的主要方式,然而分队通常配属多种医疗卫生装备及物资,涉及事务繁杂,对运输条件要求高,保障难度大,组织程序更加复杂。为解决机动卫勤分队铁路运输装载中出现的超时、返工等现象,本文开展了铁路运输装载决策模型的研究。研究基于铁路军事运输装载相关规定,运用首次适应算法、统筹优化分析法,构建了铁路运输装载编组优化模型、装载需求测算模型和装载时间优化模型。卫勤分队指挥员可利用本研究提供的理论方法,在应急情况下快速生成准确、合理的机动卫勤分队铁路运输装载方案,并对铁路装载工作流程进行优化,提高铁路运输装载的效率。

关键词: 机动卫勤分队, 铁路运输, 装载决策, 模型