rob risany aviana global
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Real World Requirements Gathering and Project Prioritization in the Era of Big Data and Analytics. Rob Risany Aviana Global. David Roscoe Doe Run. Let’s Talk About What Kind of Systems Exist. Analytics Is One of The First Business Applications. Your Modern Computer in 1959. - PowerPoint PPT PresentationTRANSCRIPT
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Real World Requirements Gathering and Project Prioritization
in the Era of Big Data and Analytics
Rob RisanyAviana Global
David RoscoeDoe Run
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Let’s Talk About What Kind of Systems Exist
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Analytics Is One of The First Business Applications
New Exciting Capability for Reporting in the IBM 1401: Calculated Fields on Reports!
Your Modern Computer in 1959
Fully transistorized!Available with Up to 16K Memory!
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All perspectivesPast (historical, aggregated)Present (real time)Future (predictive)
All decisionsMajor and minorStrategic and tacticalRoutine and exceptionsManual and automated
All informationTransaction dataApplication data
Machine data Social data
Enterprise content
All peopleAll departments
Experts and nonexpertsExecutives and employees
Partners and customers
Analytics in the Modern Era….All information, all people, all perspectives, all decisions….
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How do analytics support decision making?
What should I do Now??? DO
THIS!
Analytics helps people (or systems!) Do the Right Thing -- ACTION
Analytics guides strategy and policy making -- INSIGHT
We should do this!
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About Doe Run – All things Lead!
Mine!
Mill! Recycle!
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Battery Recycling Business Underground Equipment Maintenance and Monitoring Supply Chain Optimization Mill Optimization
Key Functional Areas where Data and Analytics Could Make an Impact
Tell us a little about how you came up with these areas?
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Our Use Case: Getting the Lead Out
How does the process provide value to the business?
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Screen
Let’s take a tour through the Brushy Creek Crushing
Circuit
RodMill
Ore fromUnderground
Reclaim Ore
Secondary Crusher
Fines Chute
VibratoryFeeder
Oversize OreThrough Crusher
Fine Ore(minus 5/8”)
Fine Ore (minus 5/8”)
To Rod Mill
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Grinding Let’s take a tour through the Brushy Creek Grinding Circuit
Rod Mill
Ball Mill
Cyclone Feed Sump
4 Cyclones
Cyclone Feed Pump
Water
Discharge
Water
Density Meter
Controls
Overflow to Lead Roughers
Scale
Rod Mill Feed Belt
XanthateZinc SulfateCyanide
Discharge to Cyclones
Underflow to Ball Mill
Secondary Crusher
Upper
Feed
Lead Roughers
R.M. Solids
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A
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PbLet’s take a tour through the
Brushy Creek Lead CircuitCyclone O.F.
Tail
Feed
Tail
Feed
Roughers
1st. Cleaner2nd. (Final) Cleaner
Copper Absorber
ZincConditioner
Froth to 1st. Clnr. Rougher Tail toZinc Cond.
Froth to 2nd. Clnr.
Tail back to Rougher
Froth (Bulk Conc.)To Cu Absorber
Tail
Upper
Feed
TailLower
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Xanthate – Rod Mill Feed
B Zinc Sulfate – Rod Mill Feed
Cyanide – Rod Mill Feed
D MIBC – Head of Roughers
A B C
DE
C
A
E
Cyanide – 1st. Cleaner
* As Needed
*
A
B
C
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The Current User Experience for Managing the Mill
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Who Uses the system?What are the limitations of the the current system?
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% Co %Cu %Fe %Pb %Zn
0.010314 0.058834 2.000187 2.839608 1.575096
0.011716 0.002868 2.254766 2.030768 0.842406
0.009994 0.050332 1.965551 2.816048 1.625338
0.007335 0.441590 1.814325 3.887377 0.801270
0.008526 0.075224 1.995480 3.380065 1.364117
User Experience Problem – How do you know what to do?
Initial Assays (Mill Feed)
Attributes of the most experienced Operator:• Monitors the initial feed • Makes changes early to impact downstream• Intuitively knows the relationship between
the numbers because they’ve seen it many times
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The Data: A Lot of It
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Where does the data come from?
What does it mean?
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The mill process is highly time lagged
Data about the “current process” is actually reflecting different ore at each stage of a 45 minute process
Data Problem #1
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Like the static on the radio, data noise is the stuff that interferes with the signal.
Another Problem– Data Noise Is Always There
Xray Sensors are very tempermental
We have to design an approach that can handle the noise
Rocks are not well organized
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Who can tell me something about the concepts of LEAN?
Applying some business principles to the problem
Too much
Optimal
Too Little
Performance over time
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Applying a Business Concept to the Logic of how a system would work: Drive between the lines
BEFORENo guidance
AFTERWith guidance
Operators use their instinct to do as well as they can…
Analytics tells the operator what the lines are.
With better insight the operator can do a better job
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Why not just get rid of the operator?
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• Account for the data challenges• Create rolling averages in the data• Segment (group) mill feed into ore types
• Generate recipes for good & poor recovery• Generate rules for Lower half (poor recovery)• Generate rules of upper half (good recovery)
• Give the good recipes as guidance to the mill operators!• Track ongoing change
The concept of the system
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Project ROI Based on Optimizing Lead, Zinc and Copper RecoveryFour Mills over time
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It starts with the business context: Understand the current process
Understand the limitations of the current approach Bad Data Will Always Be With You. Plan for it! Design a practical system, not a perfect one It ends with business context: What is the return?
Conclusion: Some takeaways
