A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines

Volume: 125, Pages: 533 - 544
Published: Nov 1, 2018
Abstract
Smart manufacturing is reshaping the manufacturing industry by boosting the integration of information and communication technologies and manufacturing process. As a result, manufacturing companies generate large volumes of machine data which can be potentially used to make data-driven operational decisions using informative computerized algorithms. In the manufacturing domain, it is well-known that the productivity of a production line is...
Paper Details
Title
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
Published Date
Nov 1, 2018
Volume
125
Pages
533 - 544
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