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.

ASMBI - 商业和工业中的应用随机模型（以前称为应用随机模型和数据分析）于 1985 年首次出版，发表随机建模、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接口方面的贡献。2007 年，ASMBI 成为国际商业和工业统计协会 (www.isbis.org) 的官方期刊。主要目标是发表技术和实践论文，介绍解决实际问题或具有巨大潜力的新成果。经过严格的审查程序，数学严谨性、创新的随机建模和合理的应用是论文发表的关键要素。

该期刊对新想法持开放态度，例如源于商业和工业问题或工程不确定性量化的数据科学和大数据，以及更传统的想法，例如可靠性、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、财务建模（前提是论文与实际问题相关）。该期刊还对涉及商业和工业决策对环境、医疗保健、社会生活的影响的论文感兴趣。当与合理的应用和创新模型相结合时，最先进的计算方法也非常受欢迎。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映数学-数学跨学科应用领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为1.3，平均审稿速度为 12周，或约稿 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。