GE Brilliant Hacks Webinar - March 7, 2017

Competition InfoWebsite: http://brilliantmanufacturing.devpost.com

Key Dates:

March 21, 5PM ET: Idea submission deadline for an app, extension, or data visualization

March 27 Top 30 ideas receive hackathon-specific Predix access

May 8, 5PM ET: Build submission deadline into a functioning solution

Prizes: $50,000 in cash and prizes

How to Enter

WIP Manager

1

Symptoms where you may have a WIP problem

2

1. Without walking the shop floor, no one or few people know where the orders are in the plant.

2. My WIP is high because no one or few people know when orders will be processed by work centers.

3. Operators work on the easiest orders first, I have no way to re-prioritize orders in real-time. (FIFO method, by customer)

4. Indirect labor is high due to lack of coordination of material management.

5. My plant floor is crammed with materials for future orders or I have significant “Starve” downtime where required materials aren’t present for orders.

6. It is hard to visualize capacity versus actual queues.

Efficiency Analyzer

3

Efficiency AnalyzerCustomer pain points

• Fragmented data & manual data collection • Lack basic visibility• Old equipment or machines• Need simple information on downtime,

performance, productivity, and efficiency• Unlock the hidden factory

Value Proposition

• Transform real-time machine data into actionable production metrics to reduce unplanned downtime, maximize yield and increase equipment utilization

Outcomes

• Increased Productivity• Downtime visibility• Improved decision support• Line and Plant wide visibility

• Low TCO (IT/OT support cost)• Very low H/W infrastructure footprint (hosted

SaaS model)• Universal access / device independent

(iPad/Laptop/TVs)

Target Customers

• Discrete• Hybrid• Continuous

Verticals• Heavy Industrial• Machinery• Aerospace• F&B/CPG• Automotive

Enterprise Plant Insights

5

Enterprise Plant Insights

• FRAGMENTED AND UNTAPPED DATA

• LACK OF VISIBILITY ACROSS PROCESSES

• OUTDATED INFORMATION

• PRONE TO HUMAN ERRORS

• LACK OF BROAD ACCESS TO SHOP FLOOR INFORMATION

• INFORMATION IN SILOS

• DIFFICULT TO SEE INFORMATION IN TIME TO ACCOMMODATE CHANGES

• POOR USER EXPERIENCE

DECISION MAKERSPlant MgrCIO, COO

VP Mfg, VP Ops

USERSOPERATORS

LINE SUPERVISORSQUALITY & MAINTENANCE

PROCESS ENGINEERS

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