Contributions to food safety acceptance sampling plans : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics, Massey University, School of Mathematical and Computer Sciences

dc.confidentialEmbargo : Noen_US
dc.contributor.advisorBebbington, Mark
dc.contributor.authorThevaraja, Mayooran
dc.date.accessioned2023-10-09T22:12:00Z
dc.date.accessioned2023-12-03T23:04:54Z
dc.date.available2023-10-09T22:12:00Z
dc.date.available2023-12-03T23:04:54Z
dc.date.issued2023
dc.descriptionen_US
dc.description.abstractAn appropriate sampling inspection method is an essential tool for risk assessment in the food industry. A representative sampling approach will be helpful to reduce risk while minimising the sampling costs. Consequently, food manufacturers are employing efficient sampling approaches to assure food safety. In the food safety field, microbiological or other contamination often spreads unevenly across the production. Many factors are involved in the microbial risk assessment, such as (1) the amount of sample used for inspection, (2) what sampling methods were applied, (3) laboratory testing procedures, (4) physical sampling of materials from lots/batches of products and (5) the mixing of initially collected samples. This study focusses on improved sampling inspection approaches to reduce microbiological risk in food products. Part of this research also included developing open-source R packages to generate graphical displays for probabilistic risk assessment for practitioners. A single “wrapper” package is also provided to install all the newly developed packages in a single step.en_US
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69249
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectFooden
dc.subjectQualityen
dc.subjectSamplingen
dc.subjectFood adulteration and inspectionen
dc.subjectMicrobial contaminationen
dc.subjectRisk assessmenten
dc.subjectSampling (Statistics)en
dc.subjectComputer programsen
dc.subjectgrab sampling, auto-sampler, presence-absence tests, microbiological risk, OC curve, Poisson mixture distributions, dilution, plate counting, beta binomial, truncated distributions, risk controlen
dc.subject.anzsrc490508 Statistical data scienceen
dc.titleContributions to food safety acceptance sampling plans : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics, Massey University, School of Mathematical and Computer Sciencesen_US
dc.typeThesisen_US
massey.contributor.authorThevaraja, Mayooranen_US
thesis.degree.disciplineStatisticsen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US

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