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Table 3 Papers that satisfy the review criteria

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
  1. Type ‘C’ represents a conference paper and ‘A’ a journal article
  2. SCM: semi-conductor manufacturing, APC: advanced process control, OEE: overall equipment effectiveness