Applied Stochastic Models in Business and Industry (formerly known as Applied Stochastic Models and Data Analysis) was first published in 1985 and focuses on contributions at the interface of stochastic modeling, data analysis, and their applications in business, finance, insurance, management, and production. In 2007, it became the official journal of the International Society for Business and Industrial Statistics (ISBIS). The primary aim is to publish technical and practical papers that propose solutions to real-world problems or present new findings with significant potential. Key elements for publication include rigorous mathematics, innovative stochastic modeling, and reasonable applications, all subjected to a highly selective review process. The journal is open to new ideas, particularly those arising from business and industry issues or quantifications in data science and big data engineering, as well as more traditional quantifications such as reliability, quality control, experimental design, management processes, supply chain and inventory management, insurance, econometrics, and financial modeling, provided they are relevant to real-world issues. The journal is also interested in papers that address the impact of business and industrial decisions on the environment, healthcare, and social life. State-of-the-art computational methods are also highly welcomed when combined with reasonable applications and innovative models.