Publications

We are pleased to announce that we have a Special Issue release titled: “Digital Twins” stand for a revolution. The revolution exists within modeling as well as simulation. ASMBI is the official journal of ISBIS and is found in Applied Stochastic Models in Business and Industry. Digital Twins is a rapidly growing area this special issue highlights, and this area integrates physical systems with digital counterparts therefore enabling real-time simulation, prediction, monitoring, and decision-making across

The International Society for Business and Industrial Statistics (ISBIS) is pleased to share an important open-access article recently published in the journal Applied Stochastic Models in Business and Industry (ASMBI). The article, titled “Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?”, brings together leading researchers from around the world to explore the evolving role of stochastic models amid the rapid rise of Machine

The journal of Applied Stochastic Models in Business and Industry (ASMBI) is inviting contributions for a special issue devoted to DATA SCIENCE IN BUSINESS AND INDUSTRY Statistical learning and stochastic modelling are the engines of data science. The models and methods help businesses use data to make better decisions. Information and communications technology has forever changed business planning and has led to new industries, such as Internet of Things, ridesharing, and intelligent recommender systems (ChatGPT,

LATEST ISSUE  – Volume 38, Issue 6 – November/December 2022 Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy | Editors: Rituparna Sen, Indian Statistical Institute, India | Emmanuel Yashchin, IBM, USA Impact factor (2021): 1.497 Journal Citation Reports (Clarivate, 2022): 73/108 (Mathematics, Interdisciplinary Applications)73/87 (Operations Research & Management Science)68/125 (Statistics & Probability) Online ISSN:1526-4025 © John Wiley & Sons Ltd For more details click here.