Skip to main content

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