Agile manufacturing practices: the role of big data and business analytics with multiple case studies

The purpose of this study was to examine the role of big data and business analytics (BDBA) in agile manufacturing practices. Literature has discussed the benefits and challenges related to the deployment of big data within operations and supply chains, but there has not been a study of the facilita...

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Bibliographic Details
Published in:International journal of production research 2018-01, Vol.56 (1-2), p.385-397
Main Authors: Gunasekaran, Angappa, Yusuf, Yahaya Y., Adeleye, Ezekiel O., Papadopoulos, Thanos
Format: Article
Language:English
Subjects:
Agile manufacturing
Analytics
Big Data
big data and business analytics
Business analytics
Business competition
Case studies
competitive advantage
Data analysis
Data management
enablers
Manufacturing
Supply chains
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Summary:The purpose of this study was to examine the role of big data and business analytics (BDBA) in agile manufacturing practices. Literature has discussed the benefits and challenges related to the deployment of big data within operations and supply chains, but there has not been a study of the facilitating roles of BDBA in achieving an enhanced level of agile manufacturing practices. As a response to this gap, and drawing upon multiple qualitative case studies undertaken among four UK organisations, we present and validate a framework for the role of BDBA within agile manufacturing. The findings show that market turbulence has negative universal effects and that agile manufacturing enablers are being progressively deployed and aided by BDBA to yield better competitive and business performance objectives. Further, the level of intervention was found to differ across companies depending on the extent of deployment of BDBA, which accounts for variations in outcomes.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2017.1395488