From: Manufacturing process data analysis pipelines: a requirements analysis and survey
Paper | Year | Type | Industry | Use case |
---|---|---|---|---|
[44] | 2014 | C | Agnostic | Model discovery and analysis |
[45] | 2014 | C | Agnostic | Knowledge management |
[46] | 2014 | C | Agnostic | Cloud manufacturing |
[47] | 2014 | C | Agnostic | Anomaly detection |
[48] | 2014 | C | SCM | Predictive maintenance |
[49] | 2015 | C | Agnostic | Air quality |
[50] | 2015 | A | Polymer | Yield optimization |
[51] | 2015 | A | Cement | Performance monitoring |
[52] | 2015 | A | Chemical agricultural recycling | Anomaly detection |
[53] | 2015 | C | SCM | APC |
[54] | 2016 | A | Agnostic | Agnostic |
[55] | 2016 | C | Agnostic | Risk management |
[56] | 2016 | C | Agnostic | Agnostic |
[57] | 2016 | C | SCM | Yield improvement |
[58] | 2016 | C | Agriculture | Quality control |
[59] | 2016 | C | Printing | Anomaly detection |
[60] | 2016 | C | Tire | Quality control |
[61] | 2017 | A | Polymer | Quality control |
[62] | 2017 | A | Die casting | Quality control |
[63] | 2017 | A | Agnostic | Quality control |
[64] | 2017 | A | SCM | APC |
[65] | 2017 | C | SCM | Process monitoring |
[66] | 2017 | C | Oil and gas | Predictive maintenance |
[67] | 2017 | C | Agnostic | Prognostics |
[68] | 2017 | C | Hydroelectric | Semantic integration |
[69] | 2017 | C | Weichai Power Co., Ltd. | Quality management |
[70] | 2017 | C | Machining | Energy use tool use and wear |
[71] | 2017 | C | Agnostic | Energy use |
[72] | 2017 | C | Polymer | Prognostics |
[73] | 2017 | C | Automotive | Quality management |
[74] | 2018 | A | SCM | Production planning |
[75] | 2018 | A | Metal casting | Quality management |
[76] | 2018 | A | Machining | Kanban |
[77] | 2018 | A | Food | Event processing |
[78] | 2018 | A | Agnostic | Supply chain management |
[79] | 2018 | A | Agnostic | Agnostic |
[80] | 2018 | C | Agnostic | OEE |
[81] | 2018 | C | Agnostic | Agnostic |