Aims and Scope

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. 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.

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Call for Papers – Special Issue on Digital Twins

We are happy to announce a “Digital Twins” Special Issue of the journal Applied Stochastic Models in Business and Industry…

Call for Papers – Special Issue on Data Science in Business and Industry

The journal of Applied Stochastic Models in Business and Industry (ASMBI) is inviting contributions for a special issue devoted to…

Applied Stochastic Models in Business and Industry (ASMBI) – Volume 38, Issue 6

LATEST ISSUE  - Volume 38, Issue 6 - November/December 2022 Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy | Editors: Rituparna Sen, Indian…