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Simulating Produce Coolers: Challenges and Opportunities. Khaled Mabrouk Operational Engineering Leader - SPS. Presentation Outline. Ag/Produce Business in California Operational Engineering & Farming Produce Cooler Processes Produce Cooler Simulation. America’s Salad Bowl.

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simulating produce coolers challenges and opportunities

Simulating Produce Coolers: Challenges and Opportunities

Khaled Mabrouk

Operational Engineering Leader - SPS

presentation outline
Presentation Outline
  • Ag/Produce Business in California
  • Operational Engineering & Farming
  • Produce Cooler Processes
  • Produce Cooler Simulation
america s salad bowl
America’s Salad Bowl
  • Top Crop States:CA $44.7B, IA 31.9, NE 24.4, TX 22.7, MN 20.5
  • CA generates 15% of USA crops,and 50+% of USA grown fruits, nuts, and vegs
  • Watsonville & Salinas Valley generates $4.7B
produce business
Produce Business
  • Some companies only fill one or two of these roles, and some are totally vertically integrated.
oe produce growers shippers
OE & Produce Growers Shippers
  • Optimization models for field planting selection
  • Best Practice Standard Work for field work
  • Predictive Maintenance for Field Equipment
  • Simulation of Produce Coolers
produce cooler challenges
Produce Cooler Challenges
  • Produce degrades quickly
  • Must be in cooler within 2.5 hours of harvesting, takes 30-60 minutes for product to arrive
  • Each product has it’s own cooling requirements; process and time in process
  • Different forklifts for inside vs. outside cooler; concern about emission affect on product
produce cooler simulation challenges
Produce Cooler – Simulation Challenges
  • Must keep track of every pallet
  • Arrival pattern varies by time of day
  • Should wait for sufficient number of pallets of a product type before starting cooling process
  • Use shade bay for staging
  • 12 pallet forklift
produce cooler sample model
Produce Cooler - Sample Model
  • There are many excellent simulation software products.
  • The use of a specific product on this project is not an endorsement for any one specific simulation software.
  • Let’s RUN THE MODEL
lessons learned
Lessons Learned
  • Tube capacity should be a multiple of 12
  • Extra receiving personnel needed during busy period to reduce in-bound trucks queuing
  • Room available in Shade Bay Area to convert to other use
  • Both Dry & Wet Boxes are sized appropriately
  • Single move for AFC products has significant impact on Average Time to Complete Cooling Process
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