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Similar to Simulation in the CPG-retail Industry (20)
More from Arindam Chakraborty, Ph.D., P.E. (CA, TX) (20)
Simulation in the CPG-retail Industry
- 5. 5
3DS.COM©DassaultSystèmes|ConfidentialInformation|8/2/2018|ref.:3DS_Document_2015
Perfect Package
Design Winning Experiences
Improved Collaboration: Improved between internal stakeholders
and external agencies involved in the Package and Artwork development
process and decision-making
Develop Digital IP : Single version of truth, enable product derivative,
virtual design & visualization, component reuse, accelerate the pace of
package and artwork design review and approval
Cut packaging design time up to 50%. Process simplification
& standardization, streamlined workflows to minimize wait time and waste in
the development process, real time visibility into project status
Reduce packaging material and design costs between
30% to 50%. Detect and correct package errors in the development
process, avoid cost of real mockups, eliminate labeling errors to prevent
product recalls and reducing the product time to market.
Virtually eliminate packaging related recalls. Sustainable
Packaging design, material choice, and increase regulation by enabling
stakeholders in review and approval process
- 7. 7
3DS.COM©DassaultSystèmes|ConfidentialInformation|8/2/2018|ref.:3DS_Document_2015
Realistic simulations span the entire range of a product's lifecycle
SIMULATION Types
SIMULATION in
CPG-Retail
Transport /
Warehousing
Secondary
Packaging
Stacking
- Palleting
- Topload
Casing
- Wrapping
- Lifting the case
Performance /
Usage
Labelling
Drop Test
- Bottle
- Flexible
- Pack
Squeeze Test
- Bottle - Flexible
Opening / Dispensing
- Flexible - Aerosol
- Can
Sustainability
Lightweighting
Production
Thermoforming
Blow Molding
Capping
Filling
Gas Diffusion &
Pressure
Manufacturing
- Glass - Metal
- Flexible - Carton
Conveying
Retail Context
Ready-to-sell Box /
Shelf Tray
Retail Experience
- Pack Stability on
the Shelf
Product
Product Stability
Product in
Microwave / Oven
Carbon Footprint
Formulation
Optimization
Plastic Injection
Remark: Best so far consolidation, we are still investigating new areas
where SIMULIATION could be important
- 11. 11
3DS.COM©DassaultSystèmes|ConfidentialInformation|8/2/2018|ref.:3DS_Document_2015
Capture Multi-Discipline, Predictive Process (Bottle Example)
Generate Thousands of Predicted Designs
Vary multiple Input Parameters
Compute Simulated Outputs
Output Parameters linked to downstream models
Choose the Best Design or Range of Alternates
Find Best Predicted Design via Ranking Engine
Quick & Intuitive Design Comparison
Transparent and Verifiable Decisions
Capacity Pallet Loading CostShelf LifeCrush FEA Analysis
Digital Continuity > Collaborative Trade-Off Analytics Example
- 37. 38
3DS.COM©DassaultSystèmes|ConfidentialInformation|8/2/2018|ref.:3DS_Document_2015
Bottle Design With the 3DEXPERIENCE platform
Bottle Ideation
•Capture the design ideas with CATIA
Application: Natural Sketch
•Define the material properties
Configure the bottle with different sections
•Based on Previous Results, configure
the bottle with some market
information.
•Create and assemble several bottles.
•With the SIMULIA Application
Process composer Optimize the
design of the bottle by changing
parameters Optimize the volume
(Minimize) and the reaction force
(Maximize)
Design Optimization
Management of Parameters
•With CATIA Knowledge
Parameters, we can manage the
parameters of each sections to
adjust the size of the bottle
Validation Simulation
•With the SIMULIA Physical
applications create a top
compression test
•Export Reaction Force
(RF3)
•Blow molding process
Simulation compression
•With the SIMULIA Physical
applications create several
validation simulation (caping,
wrapping)
•Test the consumer usage
with handling tests.
Rendering
•Creation of
realistic
rendering
- 39. 40
3DS.COM©DassaultSystèmes|ConfidentialInformation|8/2/2018|ref.:3DS_Document_2015
Business Challenges Addressed: Lightweighting
Plastic Technologies Case
“Abaqus has become an essential part of PTI’s development process, helping designers address mounting workload
pressures by more quickly screening designs, identifying the best lightweighting opportunities, optimizing the
production process and identifying root-cause failures”
Top-load strength is predicted to drop nearly in half
as container is light-weighted from 17 to 14 grams
with thickness distribution comparison on left
Comparison of actual and simulated Top-load
performance of 14g container