Factory-Friendly Approaches to Applying Multivariate Analytics for Productivity and Yield Gains

Food and beverage processors apply a great deal of statistical science in initial product design and process engineering, and in support of pathogen risk analysis. Approaches to maximizing capacity usage and yields on a daily basis, however, are often supported with only rudimentary tools. The chapter will describe examples of process and operational challenges that may be addressed using multivariate analytical approaches then provide guidance on how such approaches can be easily adapted into typical factory environments. Particular focus will be given to an understanding of how factory systems evolution makes using advanced statistical tools nondisruptive to production personnel and operations.