Data Mining in Manufacturing: A Review
Journal of Manufacturing Science and EngineeringPublished 9 December 2005
J. A. Harding, Muhammad Shahbaz, Srinivas, Andrew Kusiak
Citations506
SJR quartileQ1
SJR score0.70
SNIP0.96
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TL;DR
Applications of data mining in manufacturing engineering are reviewed, revealing progressive applications in addition to existing gaps and less considered areas such as manufacturing planning and shop floor control.
Abstract
The paper reviews applications of data mining in manufacturing engineering, in particular production processes, operations, fault detection, maintenance, decision support, and product quality improvement. Customer relationship management, information integration aspects, and standardization are also briefly discussed. This review is focused on demonstrating the relevancy of data mining to manufacturing industry, rather than discussing the data mining domain in general. The volume of general data mining literature makes it difficult to gain a precise view of a target area such as manufacturing engineering, which has its own particular needs and requirements for mining applications. This review reveals progressive applications in addition to existing gaps and less considered areas such as manufacturing planning and shop floor control.
Keywords
Computer ScienceDecision SciencesEngineering
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