Big Data : Merging Diverse Production Files In Manufacture Of Electronic Components And Boards Industry

Leow, Leowanie Sui Qin (2016) Big Data : Merging Diverse Production Files In Manufacture Of Electronic Components And Boards Industry. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This research highlights the challenges of Big Data phenomenon in the merging process of multiple production files in the manufacturing of electronics industry. Datasets produced in the production floor is vast in volume, high in velocity and comes in variety due to the data are obtained from different machines. The Big Data revolution has challenge the merging process of diverse files in the production floor as merging the datasets is important for further analysis of the data to gain insights. The characteristics and review of Big Data 5V is illustrated in this research. This research describes the software R, a statistical package as an alternative to merge diverse data files and then proceeds to illustrate the use of R by the steps of import data from Microsoft Excel and also merging the diverse Big Data files in the production floor by using R. In addition, a survey is carried out with respondents from the manufacturing of electronics components and boards industry as participants to study the awareness and acceptance of software R as an alternative for merging Big Data production files in the electronic components and boards manufacturing industry, in Penang, Malaysia. This research explores the software R and employs R as an important role for alternative in merging diverse Big Data files the manufacturing production floor prior to the Big Data phenomenon. As a conclusion, R plays an important role as an alternative for merging diverse Big Data files in the Big Data revolution in the manufacturing production floor of electronic components and boards manufacturing.

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