Abstract
This paper is a systematic review of the literature on statistical process control (SPC) implementation in the food industry. Using systematic searches across three decades of publications, 41 journal articles were selected for the review. Key findings of the review include motivations: to reduce product defects and to follow the food law and regulations (benefits); barriers: high resistance to change and lack of sufficient statistical knowledge; and (limitations) an absence of statistical thinking and a dearth of SPC implementation guidelines. Further findings highlight the predominance of publications from the USA and the UK within this topic. Future research directions concerning SPC implementation issues as well as a ready reference of the SPC literature in the food manufacturing industry are also discussed.
| Original language | British English |
|---|---|
| Pages (from-to) | 176-189 |
| Number of pages | 14 |
| Journal | Total Quality Management and Business Excellence |
| Volume | 28 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - 2 Jan 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- continuous improvement
- food manufacturing industry
- statistical process control
- statistical thinking
- systematic review
Fingerprint
Dive into the research topics of 'A systematic review of statistical process control implementation in the food manufacturing industry'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver