Industrial Internet of Things (IIoT)

Lumada Equips Manufacturers for the Future With Predictive Quality CapabilityAvoid Costly Recalls: Predict and Prevent Quality Problems Before Products Leave the Factory

Single data lake to aggregate disparate data for analysis and modeling

Real-time predictive analytics identifies potentially defective products prior to shipment

Real-time collection of measurable and meaningful human and machine data

Advanced algorithms identify deviations in work-related activities

IoT sensors for monitoring, tracking, and more

Depth-sensing cameras capture motion data for analysis

Manufacturing is the

single largestsector for IoT spending today (and over the next 5 years)2

Smart factory marketsize will reach

US$74 billion by 20221

80%of all financial lossesare the result of recalls3

Up to 20%e�ciency gains can be achieved from faster manu-facturing problem discovery4

Reduce Recalls

Identify product failures in the production process.

Increase productivity through improved operations.

Determine the root cause of defects in real time.

Lumada Rises to the Challenge

Gathers and analyzes human, machine and business data, simultaneously.

Measures and analyzes worker movements in real time.

Detects assembly-line failures and shortcomings.

Comprehensive factory KPI visualization.

Challenges Predictive Quality Management for Manufacturing Outcomes

1MarketsandMarkets Report: Smart Factory Market Global Forecast to 2022 2IDC Worldwide Semiannual Internet of Things Spending Guide (May 2016)

HITACHI is a trademark or registered trademark of Hitachi, Ltd. All other trademarks, service marks, and company names are properties of their respective owners.UC-001 April 2017

3The True Cost of Product Recall. Lockton Companies LLP. April 2015 4Based on Hitachi Analysis

10%

$$$

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The Possibilities With Lumada Are Endless

Solutions

Reduce total production cost by 10% or more.

Production cost savings reach millions of dollars.

Achieve near zero defects by time of shipment.

Improve product quality and worker productivity.

Learn MoreLumada IoT Platform Smart Industry Solutions

HitachiInsightGroup.com

Industrial Internet of Things (IIoT)

Solutions

A global manufacturer of chemical and pyrotechnical products required a solution to reduce recalls that:

Identifies product failures while in the production process.

Increases productivity by improv-ing operational performance.

Determines the root cause of defects in real time.

An innovative predictive analytics solution that:

Gathers and analyzes human, machine and business data, simultaneously.

Incorporates depth-sensing cam-eras that generate 3-D model forms to measure and analyze worker movements in real time.

Detects assembly-line failures and shortcomings as they happen for rapid response and corrective action.

This IoT solution provides:

Predictive quality analytics to identify real-time deviations in work-related activities by compar-ing live data to standard behavior models.

A data lake that aggregates man, machine, materials and methods data, to provide a single consistent view for analysis and modeling.

Real-time analysis, active notifi-cation and visualization tools that reduce incidents.

Multi-level traceability that pinpoints defective products by serial number.

Since implementing the solution, the manufacturer:

Achieved >10% reduction in pro-duction costs, which has resultedin multimillion-dollar savings.

Honed production-line processesto achieve near zero defects bytime of shipment.

No longer worries about costlyrecalls.

Significantly improved productquality and worker productivity.

Plans to deploy this same solutionin six other manufacturing sites.

Challenges Solutions Features Outcomes

IoT’s economic impact on factories will eclipse

US$1.2 trillion per year by 20257

In 2014, GM sold more cars than ever. It also paid a whopping

US$4.1 billionin recall costs6

5 MarketsandMarkets Report: Smart Factory Market Global Forecast to 2022

6 Isiadore, Chris. GM’s Total Recall Cost: $4.1 Billion. CNN Money. February 4, 2015.

7 McKinsey Global Institute Analysis (From Slide 2 of Other Smart Manufacturing Factoids PP)

Smart manufacturing can reduce product defects by more than

30%5

Global Manufacturer Sought To Minimize Product Failures in the Production ProcessLumada, with Predictive Quality Management Capabilities, Helps Manufacturer Achieve Near-Zero Defects by Time of Shipment

Learn MoreLumada IoT Platform Smart Industry Solutions

HitachiInsightGroup.com