Data quality for data science, predictive analysis, and big data in supply chain management : an introduction to the problem and suggestions for research and applications
Year of publication: |
2014
|
---|---|
Authors: | Hazen, Benjamin T. ; Boone, Christopher A. ; Ezell, Jeremy D. ; Jones-Farmer, L. Allison |
Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 154.2014, p. 72-80
|
Subject: | Data quality | Statistical process control | Knowledge-based view | Organizational information processing view | Systems theory | Datenqualität | Big Data | Big data | Lieferkette | Supply chain | Qualitätsmanagement | Quality management | Statistische Qualitätskontrolle | Statistical quality control |
-
Statistical quality control : using Minitab, R, JMP, and Python
Gupta, Bhisham C., (2021)
-
Hofmann, Erik, (2017)
-
The quality movement in the supply chain environment
Jarrett, Jeffrey E., (2014)
- More ...
-
Hazen, Benjamin T., (2014)
-
Toward understanding outcomes associated with data quality improvement
Hazen, Benjamin T., (2017)
-
The role of ambiguity tolerance in consumer perception of remanufactured products
Hazen, Benjamin T., (2012)
- More ...