*Click on the image to enlarge

food waste management using digital twin technology
Context
Academic Project | Fall 2022
Timeframe
14 weeks
Tools
Figma, Adobe Illustrator, Google slides
Role
Research, Insights generation, concept development, Low and High-fidelity wireframes, Clickable prototype
Objective
How might we use Digital Twin to improve airport operations?
Opportunity
A cost-effective analytical system to understand how and where the food is being wasted using digital twin technology. The scalable model can be easily adapted to streamline other operational processes.
​
The dashboard collects live data from passenger surveys about their food preferences and satisfaction, live inventory information, and unconsumed meal data from flight attendants and shows insights, analysis, and forecast for a most preferred meal, unconsumed item, etc to help take actionable steps for United.

Digital twin
Digital Twin technology uses live data and generates insights and predictive analysis for the viewers. It has been increasingly used in a wide range of contexts, from cities to manufacturing plants, to help increase efficiency, reduce cost, manage disasters, and improve ROI.
Though the aviation industry is lagging in the adoption of this technology, massive opportunities exist within the airline industry.
Our approach


Subject Matter Interviews
We spoke with Technology Experts who were versed in IoT, Digital Twins, and AR/VR technologies. We also interviewed professionals in the airline industry and visited the food catering facility of United.
Primary Research
At IIT’s technology and computing lab, we tested AR/VR technologies, exploring how they could be used with Digital Twins in exploring solutions.

Innovation Research
We studied case studies, future trends, best practices, United’s capabilities, and customer behaviors.
passenger journey map

In-Flight Catering Food Value Chain​


opportunities with digital twin

Concept breakdown

Data Ecosystem of Digital Twins in Catering

pros

Cons

concept phases

roadmap

Life-size food cart with weight sensors

_JPG.jpg)





To view the concept presentation: Click here
To view the research presentation: Click here