Towards a conceptual roadmap for statistical process control implementation in the food industry.
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
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.Citation
Abdul Halim Lim, S. et al (2015) 'Towards a conceptual roadmap for Statistical Process Control implementation in the food industry', Trends in Food Science & Technology, 44 (1):117 .Publisher
ElsevierJournal
Trends in Food Science & TechnologyDOI
10.1016/j.tifs.2015.03.002Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S0924224415000552Type
ArticleLanguage
enISSN
09242244ae974a485f413a2113503eed53cd6c53
10.1016/j.tifs.2015.03.002