Applied Stochastic Models in Business and Industry
译名:应用随机模型在商业与工业
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
1-3
2026
影响因子区间
—
平台估算
16%
2025
中国作者发文占比
USD 3,290
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期刊简介:ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process.The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.
【译文】ASMBI - 应用随机模型在商业和工业界(原名应用随机模型与数据分析)首次出版于1985年,发表在随机建模、数据分析及其在商业、金融、保险、管理和生产中的应用之间的贡献。2007年,ASMBI成为国际商业和工业统计学会(www.isbis.org)的官方期刊。主要目标是发表技术性和实践性论文,展示解决现实生活问题或具有巨大潜力的新成果。数学严谨性、创新性随机建模和良好的应用是发表文章的关键要素,经过非常严格的审稿过程。该期刊非常欢迎新思想,如来自商业和工业问题的数据科学和大数据或工程中的不确定性量化,以及更传统的思想,如可靠性、质量控制、实验设计、管理流程、供应链和库存、保险、计量经济学、金融建模(只要论文与实际问题相关)。该期刊还感兴趣于探讨商业和工业决策对环境、医疗保健、社会生活的影响。当与良好的应用和创新模型相结合时,欢迎最先进的计算方法。

| 指标 | 当前值 | 近三年趋势 |
|---|---|---|
| JCR分区 | Q2 | 暂无 |
| 中科院分区 | 4区 | 暂无 |
| 影响因子区间 | 1-3 | 暂无 |