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Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products

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Managing Risks Due to Ingredient Variability in Food Production.

Frank Riddick¹, Evan Wallace¹, Jim Davis²

¹National Institute of Standards and Technology, Gaithersburg, MD 20899.

Journal of Research of the National Institute of Standards and Technology

|August 26, 2021

Summary

Smart manufacturing (SM) reduces risks in food production by managing ingredient variability. This approach enhances efficiency and flexibility in food manufacturing networks.

Keywords:

food production material variability risk mitigation smart manufacturing

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Area of Science:

Food Science
Manufacturing Engineering
Industrial Management

Background:

Manufacturing enterprises face risks in product design and process execution.
Food manufacturing presents unique challenges due to ingredient variability and quality, cost, and efficiency targets.
Managing ingredient sourcing and adapting manufacturing processes to inherent variability is a significant concern in food and pharmaceutical industries.

Purpose of the Study:

To illustrate how smart manufacturing (SM) approaches can mitigate risks associated with ingredient variability in food production networks.
To demonstrate the potential of SM to increase the efficiency of food production.
To present a case study on the application of SM in food manufacturing.

Main Methods:

Application of smart manufacturing (SM) principles and solutions.
Utilizing the Smart Manufacturing Platform, a software and services platform.
Case study analysis of a food production network.

Main Results:

Reduced risks stemming from ingredient variability.
Increased efficiency within the food production network.
Demonstrated the practical application of SM in addressing manufacturing challenges.

Conclusions:

Smart manufacturing offers effective solutions for managing risks in food production.
The integration of SM technologies can enhance operational efficiency and flexibility.
The Smart Manufacturing Platform provides a foundation for addressing complex manufacturing issues.