矿业是以安全高效绿色开发和清洁高效低碳利用矿产资源为目的行业，也是经济社会发展的基础行业。为了使矿业开发更加经济、考虑的因素更加全面、设计和开发过程更加优化，20世纪50年代末期，将运筹学和计算机技术引入到了矿业工程，形成了矿业系统工程这一新的学科分支。早期的矿业系统工程主要是以采矿生产过程优化和计算机在矿山设计、采掘计划编制、信息处理、应用软件开发为主，且多以露天矿为研究对象。近年来矿业系统工程研究紧密结合大数据、人工智能、网络技术等，在矿山信息网络构建、运销系统、智能开采、设备管理、安全管理等方面取得了丰硕成果。详细阐述了矿业系统工程的起源和发展过程，并以运筹学和计算机在矿业中的应用国际会议(APCOM)，尤其是已经举办的十五届全国矿业系统工程学术会议为脉络，客观地总结了矿业系统工程的发展过程和研究内容演变。以CNKI数据库为数据基础，通过聚类分析，研究了近20 a矿业系统工程的刊文量和研究对象及其变化。矿业系统工程的未来发展应聚焦于系统科学思想与现代采矿技术的结合，建立科学的系统及其边界，比如科学采矿系统、矿山全生命周期系统、智能矿山系统等八大系统，矿业系统工程的发展将更加注重数字化、智能化、可持续发展、信息化和自动化等方面的创新和应用，同时将不断拓展其应用领域，以实现矿业开发的最优化、高效化、绿色化和低碳化。

The mining industry is a sector aimed at the safe, efficient, green development, and clean, efficient, low-carbon utilization of mineral resources, serving as a foundational industry for economic and social development. In order to make mining development more economical, consider a more comprehensive range of factors, and optimize the design and development processes, in the late 1950s, operations research and computer technology were introduced into mining engineering, giving rise to a new discipline known as mining systems engineering. In its early stages, mining systems engineering primarily focused on the optimization of mining production processes and the use of computers in mine design, excavation planning, information processing, and application software development, with a predominant emphasis on open-pit mining as the research object. In recent years, research in mining systems engineering has closely integrated with big data, artificial intelligence, network technology, and has achieved fruitful results in areas such as mining information network construction, logistics systems, intelligent mining, equipment management, and safety management. This paper provides a detailed exposition of the origin and development process of mining systems engineering, with a chronological narrative based on international conferences on the application of operations research and computers in mining (APCOM), particularly the fifteen national conferences on mining systems engineering that have taken place. It objectively summarizes the developmental process and evolution of research content in mining systems engineering. Using the CNKI database as the data foundation, current research employs cluster analysis to study the publication volume, research objects, and their changes in mining systems engineering over the past 20 years. The future development of mining systems engineering should focus on the integration of systems science thinking with modern mining technology, establishing scientific systems and their boundaries, such as scientific mining systems, mine lifecycle systems, intelligent mine systems, and other eight major systems. The development of mining systems engineering will increasingly emphasize innovation and application in aspects such as digitization, intelligence, sustainable development, informatization, and automation, while continually expanding its application areas to achieve optimized, efficient, green, and low-carbon mining development.