Wildtime Foods was established in 1981 to make and market gourmet granolas. Over the years the product range has expanded to include cereals, trail mixes and nut butters, all of which maintain the company’s tradition of handmade, natural and real. The products are sold in bulk and in consumer packages under the Grizzlies brand to natural and other food stores.

Increased Sales
Jobs created or retained
Cost Savings

The Situation

The company had outgrown its facility. In the first and second phases of this project, OMEP assisted Wildtime Foods by developing current and future state value stream maps, assisting in the selection of the new facility and contributing to the selection of equipment and process line design.  In the 3rd phase of the project, OMEP is assisting Wildtime Foods in fully implementing the manufacturing plan in the new facility.

The Solution

OMEP provided corporate level content and guidance to Wildtime Foods in the following areas of focus:

  • Lean enterprise teaching, coaching and implementation
  • Creation of current and future state value stream maps
  • Assisted in planning the new facility and development of a project plan
  • Provided advice on equipment selection and layout.
  • Assisted in commissioning of the new production lines and decommissioning the existing plant
  • Reviewed raw material supply chain to ensure its ability to support the expanded production and identify opportunities for cost reduction
  • Provided coaching and advice on general business issues

The Results

  • Cost savings: Efficiency improvements: $40,000
  • New Sales: Business Development: $400,000
  • Investment in plant and equipment: $500,000
  • Investment in training: In kind training costs: $40,000
  • Jobs created or retained: 7 jobs created

OMEP has been critical in helping us critically evaluate our production methods. With OMEP’s help, we have improved our methods and, thereby, improved production efficiency. More critically, we have learned the discipline of how to approach evaluating current methods and then iteratively improve them, using data rather than opinion to guide us in evaluating each change.

Brad Averill

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