Quality Control in Foods

FOOD 4200
Closed
Main contact
University of Manitoba
Winnipeg, Manitoba, Canada
Educator
3
Timeline
  • September 16, 2021
    Experience start
  • September 18, 2021
    Project Scope Meeting
  • December 4, 2021
    Experience end
Experience
5/1 project matches
Dates set by experience
Preferred companies
Canada
Any company type
Any industries

Experience scope

Categories
Skills
quality control quality management systems food quality assurance and control
Learner goals and capabilities

Student from the University of Manitoba's Quality Control in Foods course will be able to work on a project with your company or organization over the semester. They are able to describe the background and current requirement for quality control and quality management systems, explain what has led to the current quality management systems, outline the main requirements of a quality control systems.

In addition, they can recognize the requirements necessary to ensure safe, quality food, identify conditions for inactivation of important pathogens commonly found in foods, apply appropriate evaluation tools needed to produce a safe food. Evaluate sanitary practices and environmental factors (i.e., Aw, pH, temperature) that control growth and response of microorganisms, and identify food quality specifications Recognize the source and variability of raw food material and impact on food quality

Learners

Learners
Undergraduate
Any level
25 learners
Project
25 hours per learner
Learners self-assign
Teams of 2
Expected outcomes and deliverables

Deliverables will depend on the company that the students will be working with

Project timeline
  • September 16, 2021
    Experience start
  • September 18, 2021
    Project Scope Meeting
  • December 4, 2021
    Experience end

Project examples

  • Predict quality of selected products
  • Ensure government regulations are reflected in the specifications provided
  • Apply appropriate sampling plans for a given attribute and produce
  • Use statistical methods to select appropriate sample plan
  • Develop sampling plan for a given data set
  • Construct and interpret an operating characteristics curve to effectively evaluate consumer and producer risks
  • Construct an operating characteristic curve based on statistical probabilities for a given data set
  • Interpret the significance of a given point on the operating characteristic curve
  • Compare different operating characteristic curves
  • Create control charts for attributes, a vital segment of statistical process control (SPC), to record and report QC data

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
  • Q2 - Checkbox