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Applied Stochastic Models in Business and Industry

Applied Stochastic Models in Business and Industry

Editor-in-Chief:Fabrizio Ruggeri, CNR-IMATI, Milan, Italy; Editor Emmanuel Yashchin, IBM, USA and Katherine Bennett Ensor, Rice University, USA

Vol 33(6 Issues in 2017 )

Print ISSN: 1524-1904

Online ISSN: 1526-4025

Impact Factor: 1.095

Digital version available through Wiley Online Library

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Description

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.