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Presented by: Rudi Lueg, VP Big Data in a Warehouse Sponsored by: © 2015 MHI® Copyright claimed for audiovisual works and sound recordings of seminar sessions. All rights reserved.

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Page 1: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

NOTE: The use of

the following opening

title slide is

MANDATORY in

each PowerPoint

presentation for in-

show continuity and

post-show on-

demand web

viewing. Please

include seminar title,

sponsor logo and

speaker names/titles.

Presented by:

Rudi Lueg, VP

Big Data in a

Warehouse

Sponsored by:

© 2015 MHI® Copyright claimed for audiovisual works and

sound recordings of seminar sessions. All rights reserved.

Page 2: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Take aways after 20 minutes

• Meaning of

– Big Data (4 V’s)

– Internet Of Things

– Industry 4.0

• Impact on warehouse automation

Page 3: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data

extremely large data sets that may be analyzed

computationally to reveal patterns, trends, and

associations, especially relating to human behavior and

interactions.

Page 4: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Storage doubles every 40 month

Page 5: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please
Page 6: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please
Page 7: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data – What’s going on?

• UPS Saving gas

• Macy’s What’s in the store?

• Ford Smarter cars, road and cities

• Google Big Query

• US Fed Owns 6 of the 10 supercomputers in the world

• Germany Keeping its Manufacturing edge

• Facebook 50 billion photos

• eBay 90PB in Hadoop, turnover $3500/second

• Google Traffic information by your smartphone

Page 8: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Inte

rnet

Of

Th

inks

Page 9: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Everything From This 1991 Radio Shack Ad You Can Now Do With Your Phone

Page 10: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

IoT

The Problem:

Page 11: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please
Page 12: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Internet Of Thinks

Page 13: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

IoT

Page 14: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Industry 4.0 Industrial Revolution

• Steam engine, Water Power • Loom

• Electrical energy powers Conveyors • Fordism

• Automation, Centralized Systems • PLC, Computer, SCADA, HMI

• Smart Product, IoT • Big data, predictive analysis

3rd software

4th Internet

2nd electrical

1st mechanical

1800 1900 1970 2010

Page 15: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Smart Manufacturing Leadership Coalition (SMLC) http://www.smartmanufacturingcoalition.org

Industry 4.0 http://en.wikipedia.org/wiki/Industry_4.0

Page 16: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data in the Warehouse

Operations

– Staffing

– Service level

Maintenance

– Predictive

– Automated

Page 17: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Traditional Automation Approach

ERP

WCS/WES WMS

Page 18: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Today Minutes Hours Days

Tomorrow Years

Page 19: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data - external

Historical data, Weather

Traffic, Logistics, Events, Holidays,

Other Warehouses, Etc.

ERP

WCS/WES WMS

Page 20: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data - internal

ERP

WCS/WES WMS

Logs, History, Inventory,

Sensors, Readers, Cameras, Scales, Microphone, Cube,

Velocity, Amperage, Temperature, Humidity,

Errors, Exceptions,

Page 21: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

Big Data - Examples

Shipping Sorter:

Adjust speed based on carton size and weight, number of polybags

and humidity to avoid re-crics

DTC Visibility:

Exact position of items for an order in the DC visible on smart phone

Service Level:

Measuring sub systems and operation to recognize delays earlier

Fulfillment performance vs. slotting, order pattern

Maintenance:

Barcode read quality may indicate a specific printer or stock vendor

Amperage, weight und age of a motor triggers

predictive (smart) maintenance

Page 22: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please
Page 23: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please
Page 24: Big Data in a NOTE: The use of Warehousecdn.promatshow.com/seminars/assets/896.pdf · each PowerPoint presentation for in-show continuity and post-show on-demand web viewing. Please

For More Information:

Rudi Lueg

(321) 544-2899

[email protected]

www.whsystems.com

Booth 4547

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