INDUSTRIAL AI

AT BOSCH

Rahul Kapoor

Head of Services and Engineering

Bosch Center for Artificial Intelligence

Design

Data Assets

Use

Ship

…

Maintain

PRODUCT LIFECYCLEALL PHASES CAN BENEFIT FROM AI

MakeMake

MANUFACTURING DATA AT BOSCH

270Manufacturing

facilities

BillionsOf parts

manufactured

each year

1000sof assembly

lines

Data

Processdata

Testdata

Warrantydata

Machinedata

Supplierdata

Bosch has one of

the largest

manufacturing

datasets in the

world

…Cycle

TimeYield

Equipment

Efficiency Energy

Quality

Plant

Logistics Raw

Material

Improve

on

AI IN MANUFACTURING

WHY?

TEST TIME REDUCTION

► Removal of

redundant tests

► Prediction of

calibration settings

34 Tests

Removed

120

100

80

60

40

20

0

s

Ca

lib

rati

on

54 T

es

ts

35%

20%

35%

10%Savings from

Pre-Calibration

Test time

reduction

45%

Savings

$1.3m

AUTOMATED OPTICAL INSPECTION

FOR IMPROVING DEFECT RATE

► Improved quality inspection performance

► Reduced manual visual inspection effort

► Improved cycle time

► Automated defect type detection

Manual inspection

AI model

AOI station

Escape

rate

0%

False alarm

rate

CROSS-VALUE-STREAM ANALYTICS

► Use upstream data to

optimize downstream

processes

► Identify cross-

component influences

► Reduce redundancies

PRACTICAL CONSIDERATIONS

OF AI IN CONNECTED INDUSTRY

Imbalanced dataset

Is accuracythe right metric?

Robust to “out of sample” variations

Beware of drift in dataover time

Impact on cycle time matters

Models need to explain themselves

SUMMARYBy 2025, AI will be a

part of all BOSCH

products and also a

part of making of it

Design

Data Assets

Use

…

Maintain Ship

Make

THANK YOU