From data to big data in production research: the past and future trends

Yong-Hong Kuo; Andrew Kusiak

doi:10.1080/00207543.2018.1443230

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From data to big data in production research: the past and future trends

Journal article

Peer reviewed

From data to big data in production research: the past and future trends

Yong-Hong Kuo and Andrew Kusiak

International journal of production research, Vol.57(15-16), pp.4828-4853

08/29/2019

DOI: 10.1080/00207543.2018.1443230

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Abstract

Data have been utilised in production research in meaningful ways for decades. Recent years have offered data in larger volumes and improved quality collected from diverse sources. The state-of-the-art data research in production and the emerging methodologies are discussed. The review of the literature suggests that production research enabled by data has shifted from that based on analytical models to data-driven. Manufacturing and data envelopment analysis have been the most popular application areas of data-driven methodologies. The research published to date indicates that data mining is becoming a dominant methodology in production research. Future trends and opportunities for data-driven production research are presented.

big data

data

data envelopment analysis

data mining

data-driven models

production

simulation

smart manufacturing

Details

Title: Subtitle: From data to big data in production research: the past and future trends
Creators: Yong-Hong Kuo - University of Hong Kong
Andrew Kusiak - University of Iowa
Resource Type: Journal article
Publication Details: International journal of production research, Vol.57(15-16), pp.4828-4853
DOI: 10.1080/00207543.2018.1443230
ISSN: 0020-7543
eISSN: 1366-588X
Publisher: Taylor & Francis
Language: English
Date published: 08/29/2019
Academic Unit: Industrial and Systems Engineering; Nursing
Record Identifier: 9984187073202771

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