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Towards a conceptual roadmap for Statistical Process Control implementation in the food industry
- Source :
- Trends in Food Science & Technology. 44:117-129
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Statistical process control (SPC) is one of the most highly used quality control techniques in the industry. The lack of specific implementation guidelines makes it the least applied quality control technique in the food industry. This paper presents a five-phase SPC implementation conceptual roadmap in the food industry developed based on a critical review on current literature of various SPC deployment methods. It considers six critical factors for the SPC implementation in the food industry. This paper makes unique contributions by presenting a systematic approach for the managers of this industry to successfully deploy SPC in their organisations.
- Subjects :
- Engineering
Hardware_MEMORYSTRUCTURES
Process management
Food industry
business.industry
media_common.quotation_subject
Control (management)
Critical factors
Statistical process control
Manufacturing engineering
Software deployment
Food processing
Quality (business)
business
Food Science
Biotechnology
media_common
Subjects
Details
- ISSN :
- 09242244
- Volume :
- 44
- Database :
- OpenAIRE
- Journal :
- Trends in Food Science & Technology
- Accession number :
- edsair.doi...........1364627085dff7c21e9fab90005a8867
- Full Text :
- https://doi.org/10.1016/j.tifs.2015.03.002