Ehsan Sabet - Wolfson School of Mechanical, Electrical and Manufacturing Engineering Loughborough University, Leicestershire LE۱۱ ۳TU, UK

Purpose: In recent years, data has been growing on a large scale, and thedevelopment of Internet applications, mobile applications, and networkconnectedsensors has also increased dramatically. These programs andextensive Internet communications continuously generate large volumes ofdata that are diverse and structurally different, called big data.Methodology: This article first reviews big data and defines its features, andthen discusses the challenges it faces in the smart industry. Finally, using fuzzyhierarchical analysis, the most important challenges of using big data in smartindustries have been prioritized.Findings: Due to the increasing volume of information transfer in the spaceof industrial generation, big data problem, import and storage of large volumeof data information items and its management, preprocessing and postprocessing,speed, accuracy and security of information are very important. Ithas gained a lot of attention and has attracted the attention of manyresearchers and experts in the field of information technology and active inthe industry.Originality/Value: This article review the challenges of big data use in smartindustries.

Big Data, Smart Industries, Big Data Challenges, Hierarchical Analysis