Optimize Energy Efficiency in Food Manufacturing: Unleash the Power of Design of Experiments (DOE)

Overview

In this case study, we’ll explore a food manufacturing company that produces cookies for different customer groups worldwide. However, the company’s profit margins have been negatively impacted by the recent increase in energy costs. To address this issue, the management has launched an improvement project to reduce energy consumption while maintaining product quality and yield levels. 

We will now assume the role of the Head of Manufacturing for this company and discuss with our team how to best achieve the targets set by management. We then start a project involving different experts from different departments. While analyzing our production process, our Subject-matter experts (SME) have identified 6 possible relevant process variables impacting the energy consumed and the yield. These variables are: 

  1. Supplier 
  2. Baking temperature (°C) 
  3. Running speed (mm/s) 
  4. Pressure (bar) 
  5. Baking time (min) 
  6. Mixing time (s)

To achieve our goal, we need to ask ourselves:

  • Which are the most important influencing factors?

  • How do they affect energy consumption and yield?

  • How can we optimize energy consumption and yield at the same time?

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Optimize Energy Efficiency in Food Manufacturing: Unleash the Power of Design of Experiments (DOE)