General Electric (GE) Industrial Hackathon Melbourne

Real World Industrial Transportation Problem - Automated Audio System for Rail Maintenance

GE INDUSTRIAL HACKATHON MELBOURNE
- 2ND PRIZE WINNERS

Consisting of 16 teams (up to 6 people) competing in Australia's first nation-wide industrial hackathon.  
Thanks for the support from Melbourne University's Lab14, GE, Rio Tinto and my team - Felicity Mulhall, Fiona Slocombe and Leo Gui.

PROCESSES

  • Problem & Solution Statement
  • Affinity Diagramming
  • Design Studio Methodology
  • User Tasks, User Flows
  • Rapid Prototyping, UI Design
  • Usability Testing

APPROACH

THE CHALLENGE
One of the primary concerns of autonomous trains is maintenance. They need to be kept clean and fully functional to keep them running on-time and at full capacity.

Currently, a lot of the work instructions are on paper, it's actually very difficult for the operators to do their work and have to scroll through this dirty paper to find out what they had to do next.

PROBLEM  STATEMENT
Manual processes are impacting business efficiencies, staff morale and worksite safety. 

SOLUTION STATEMENT
Optimise data collection & delivery to ensure business efficiencies & employee satisfaction. 

CORE BUSINESS MODEL ELEMENTS

FUNCTIONAL PROTOTYPE
iPhone 6S iOS Functional Prototype

MINIMUM VIABLE PRODUCT (MVP)
iPhone 6S iOS voice activated job sheet

USABILITY TESTING
Real customer feedback for evidence-based validation

“Great that there is the feed back loop.  I can type as I go.”

“I thought it was really good that the audio didn’t match written text word for word, do not have to listen to what you already know - that’s really good.”

“Know where are – step 2 of 5, very useful - I like it”

“Loved the glow of the next”… It’s the little things that make it.

 

User Interface (UI) Design
GE MVP Administration dashboard to co-ordinate and schedule jobs

User Interface (UI) Design
GE MVP Job Tracker to keep track of current jobs, anticipate and mitigate delays in real-time

KEY FINDINGS & RECOMMENDATIONS

Immediate

  • Simplify language (remove unnecessary information, additional text for regular activities)
.
  • Visibility - progress bar, identify steps in process.


Future

  • Feedback loop / live chat-refine timings for future / decision tree
.
  • Data analytics: reduce spare parts holding from 10% to 1%; compare efficiencies over multiple classes of locomotives.