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Overview: Upon completing this course participants will leave with a preliminary preventive control implementation plan and will: * Understand US FDA final rules for the Preventive Controls for Human and Animal Foods * Define and review your current system to identify gaps in your preventive controls planning. * Be able to develop and implement a valid preventive control company food safety plan to close any gaps * Write and implement appropriate procedures. * Know your requirements for control over your supply chain * Be able to plan and implement HARPC * Be able to perform environmental monitoring * Know how cross contamination can impact your preventive control plan * Know the difference between validation and verification * Understand and be able to use statistical process controls basics * Be able to plan and implement a team approach to preventive controls * Be able to help your food importers to jump through FDA hoops * Develop a system to risk rank your suppliers * Have a plan in hand that will pass any validation check for preventive controls * Understand some of the technology and costs that can help you establish preventive controls * Prove that your system actually prevents food safety problems * Be able to document and report results to upper management, external food safety auditors and FDA auditors * Save your company money Establish simple, low cost complete data collection and reporting systems. * Establish teambuilding between food safety and quality personnel to develop and implement changes to your current system * Understand food safety, security and recall responsibilities in light of cargo theft, adulteration and temperature failures * Learn how to use your system to get some ROI and improve your marketing position * Review current and future technologies designed to improve and simplify data collection * Establish a completely documented system Why should you attend: Validation of preventive co

2-day In-person Seminar Applied Statistics, with Emphasis on Risk Management in R&D, QA/QC, and Manufacturing Overview: The 2-day seminar explains how to apply statistics to manage risk in R&D, QA/QC, and Manufacturing, with examples derived mainly from the medical device design/manufacturing industry. The flow of topics over the 2 days is as follows: ISO standards and FDA/MDD regulations regarding the use of statistics. Basic vocabulary and concepts. Statistical Process Control Statistical methods for Design Verification Statistical methods for Product/Process Qualification Metrology: the statistical analysis of measurement uncertainty, and how it is used to establish QC specifications How to craft "statistically valid conclusion statements" (e.g., for reports) Summary, from a risk management perspective Agenda Day One Lecture 1: Regulatory Requirements Lecture 2: Vocabulary and Concepts Lecture 3: Confidence Intervals (attribute and variables data) Lecture 4: Normality Tests and Normality Transformations Lecture 5: Statistical Process Control (with focus on XbarR charts) Lecture 6: Confidence/Reliability calculations for Proportions Lecture 7: Confidence/Reliability calculations for Normally distributed data (K-tables) Lecture 8: Process Capability Indices calculations(Cp, Cpk, Pp, Ppk) Day Two Lecture 1: Confidence/Reliability calculations using Reliability Plotting (e.g., for non-normal data and/or censored studies) Lecture 2: Confidence/Reliability calculations for MTTF and MTBF (this typically applies only to electronic equipment) Lecture 3: Statistical Significance: t-Tests and related "power" estimations Lecture 4: Statistical Significance: ANOVA calculations Lecture 5: Metrology (Gage R&R, Correlation, Linearity, Bias , and Uncertainty Budgets) Lecture 6: QC Sampling Plans (C=0 and Z1.4 attribute AQL plans, and alternatives to such plans) Lecture 7: Statistically valid statements for use in reports Lecture 8: Summary and Impleme