A Comprehensive Review on Big Data for Industries: Challenges and Opportunities

Abstract

Technological advancements in large industries like power, minerals, and manufacturing are generating massive data every second. Big data techniques have opened up numerous opportunities to utilize massive datasets in several effective ways to improve the efficacy of related industries. This paper presents a review of big data technologies used in the power, mineral, and manufacturing industries for various purposes. We analyze the meta-data of the collected papers before reviewing and selecting papers by applying selection criteria and paper quality assessment strategy. Then we propose a taxonomy of big data application areas in the power, mineral, and manufacturing industries. We have studied current big data architectures and techniques implemented in industry sectors and have uncovered the big data research gaps in industry sectors. To address the gaps, we point out some relevant research questions and, to answer the questions, we make some future research recommendations that might explore interesting research ideas for building a big data-driven industry. As the careful use of big data benefits every other industry sector; hence, supportive big data frameworks need to be developed to speed up the big data analysis process. Proper multi-dimensional big data assessment is also needed to take into account for serving effective data analysis tasks.INDEX TERMS Big data for industry, smart grid, power system, oil and gas industry, minerals, big data technology, manufacturing industry, big-data-driven industry.

Manufacturing Execution System Application within Manufacturing Small–Medium Enterprises towards Key Performance Indicators Development and Their Implementation in the Production Line

“…Decentralised decision-making has resulted from building an enterprise's Cyber Physical Systems. Therefore, enterprises must consider how to apply MES technology in accordance with this approach to both decision-making and monitoring [5]. The interconnection of systems with the production process can enable enterprises to become more intelligent and create a fertile environment of possibilities, which can usher in a new era of big data analysis [2].…”

“…This approach, based on digitisation and technological integration, may enable manufacturers to innovate and succeed in an increasingly complex and competitive environment [3]. Currently, large enterprises have achieved a significant level of digitalisation, with numerous machines capable of generating large quantities of different types of data (big data) [4], which can be collected, managed, and analysed to create new business opportunities [5]. Data are associated with Industry 4.0 technologies and pose a considerable challenge in implementing its main paradigm-Cyber Physical Systems-particularly for Small-Medium Enterprises (SMEs) [6][7][8].…”