Three real-life examples showing how leading manufacturers are putting SPC to work in their food, beverage, and CPG plants to improve productivity, quality, yield, and profitability.
3. Before we get started
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Helpful tips
✔ Informal, conversational approach
✔ Ask Questions (Q&A at end)
✔ Only panelists are displayed/heard
✔ Recording link will be shared
✔ Slides will also be shared
✔ Audio issues? Use call-in number
4. About the Presenters
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Shamonique Schrick
Solutions Architect
Eric Hansen
VP Technical Solutions
● Over 10 years of experience as an auditor, food
safety expert, and quality specialist
● Degrees in biochemistry and molecular biology
● Treehouse Foods, Cargill, MillerCoors, CSM
Bakery
● Over 20 years of experience across Healthcare,
Logistics, Manufacturing
● Expertise on safety, compliance, operations, and
quality programs
● 9 years at SafetyChain
5. Benefits of SPC
Reduce cost,
manage waste &
rework
Increase efficiency
& productivity
Comply with FDA,
FSMA, USDA, etc
High spec
conformance
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Visibility into
process variability
for informed
decisions
6. What is SPC (Statistical Process Controls)?
✔ Uses statistics to:
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✔ SPC tools provide process level
visibility:
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7. Control Charts - Xbar-R & Xbar-S
✔ Periodic samples plotted over time
✔ Xbar (Mean Chart):
✔ XBar-R (Range Chart):
✔ XBar-S (Sigma Chart):
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8. Control Limits & Run Rules
✔ Control Limits
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✔ Run Rules
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9. Histogram - Process Variation
✔ What is process variation?
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✔ How do you account for process
variation?
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10. Process Capability Measures - Cpk & Ppk
✔ Shows how well production conforms to specifications
✔ Cpk = 2 is 6 Sigma: Cpk < 1, not capable of meeting specification
✔ 1.33 Ppk = 99.99% of all materials are within specification
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12. Case 1: Optimize Yield
Example: Cook Temp
Outcome: Optimize yield subject to
compliance requirement
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14. Temperature Variability, Low Yield
Oven Baked Cookies or Bread
• Bread: Too Hot temperatures - baked
unevenly, misshaped product, Too Low -
raw product, dense loaves
• Cookies: Too Hot - cookies will spread
too much (melted), Too Low -
underbaked, pale and no spreading
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15. Case 2: Minimizing Giveaway
Example: Package Weights
Outcome: Minimize give-away, subject
to compliance requirement
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18. Case 3: Package Weight - Lotions
Shea Butter Lotion. It’s not easy.
• Too light? Too fluffy? Thin? This
can miss minimum weight
• Too dense? Too heavy? This can
mean overfill OR rework
• Specific gravity and overall
package weight are variables
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19. Example: Real time operational
control: pH Viscosity
Outcome: Meet both ends of the
requirement.
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Case 3: Multi-Attribute Control
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21. Acidified Foods + Hot Fill Hold
Fruit Fillings: pH, Temp, and Viscosity
• pH <4.6
• Hot Fill - used to sterilize packaging
• Affect the quality of the product
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23. Building an SPC Program in Your Plant
● How can we impact
performance?
● What are those data
points?
● Set improvement goal
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● Where to find data
● How to deploy and
monitor - who?
● Tool setup and
maintenance
● List control charts
● Active monitoring
● Review with teams
● Visibility/shareability is
key
● Review goals - miss?
Hit? Rinse/repeat
● Troubleshoot off
quality issues
25. A few tips to leave you with...
✔ Risk/impact assessment of the operation (can just be a line) to identify key
processes and attributes
✔ Understand how those attributes affect overall performance and how weight, pH,
viscosity, cook temp affect margins, profit, yield, and compliance
✔ Ask around - has anyone in your plant done this before? Has another
plant/facility? Be curious!
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