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(1)

Enabling Business Process Agility

via

Consolidation

Reculer pour mieux sauter

Dr Marcello La Rosa

Business Process Management Group

Information Systems Discipline

Faculty of Science and Technology

Queensland University of Technology

Brisbane Australia

(2)

Before

After

(3)

Check

information

Phone call

received

X

Sufficient

sufficient

Not

Register

claim

Claim

registered

Call centre

agent

Call centre

agent

Context-aware process execution

Operating in alternative modes

Check

information

Phone call

received

X

Sufficient

sufficient

Not

Register

claim rapidly

Claim

registered

Call centre

agent

Call centre

agent (novice)

Call centre

agent

Call centre

agent (novice)

Call center Brisbane (sunny day)

Call center Brisbane (stormy day)

(4)

Each process is varied by product & brand

End to end process has between 250 & 1,000 process steps

Source: Guidewire reference models

Product

Dev

Sales

Service

Claims

Estimated total number of process steps: 15,000

Total number of models: 3,000+

30

variations

500

steps

Home

Motor

Commercial

Liability

CTP / WC

(5)

How many of these are real differences?

Real Differences

vs

(6)

Z

N

O

F

H

G

R

P

Q

I

M

J

T

P

Q

Commercial insurance

X

P

Q

R

S

D

A

B

E

F

H

G

I

Home insurance

A closer look at Suncorp’s repository

363 models

279 clones:

(7)

Not just a coincidence…

SAP R/3 reference model:

595 models (size from 5 to 119 nodes)

479 clones: 13.8% gain

IBM BIT library:

A: 269 models (size from 5 to 47 nodes)

174 clones: 9% gain

B3: 247 models(size from 5 to 42 nodes

)

49 clones: 6.6% gain

SAP R/3 reference model: Curran, Keller, Ladd, SAP R/3 Business Blueprint, Prentice Hall, 1997

(8)

The problem of cloned fragments

Clones may be modified independently,

leading to unwanted inconsistencies

Clones hide potential efficiency gains

Clones make individual process models

larger than they need be, thus affecting

their comprehensibility

(9)

Not only “exact” clones!

There are also “approximate” clones, i.e. similar fragments

“Victoria Beckham and Kate Middleton – Similar Fashion Sense”

Determine if

invoice relates to

claim

Complete

customer

reimbursement

Identify invoice

for claim

Complete

third party

reimbursement

?

?

(10)

Process model “chaos”

Proliferation

of variants

Stagnating

improvement initiatives

Inability to turn

agile

Need for solid process modeling foundation

Continuously clean to achieve agility:

(11)

Process model consolidation

1. Feudalism (current situation)

One separate, independent model per variant

2. Weak Federation

One top-level model per variant, but shared sub-processes

3. Strong Federation

One model per variant, models synchronized via change

propagation

4. Unification

(12)

Z

N

O

F

H

G

R

P

Q

I

M

J

T

P

Q

Commercial insurance

Z

N

O

R

M

J

T

Commercial insurance

X

X

F

H

G

I

Z

N

O

R

M

J

T

Commercial insurance

X

X

Y

Weak federation

Extract cloned fragments and store them as separate

sub-processes

X:

Y:

L

X

R

S

D

A

B

E

Home insurance

Y

P

Q

F

H

G

I

L

P

Q

R

S

D

A

B

E

F

H

G

I

Home insurance

L

X

R

S

D

A

B

E

Home insurance

F

H

G

I

(13)

Strong federation

Store process models as “fragments”…

L

P

Q

R

S

D

A

B

E

F

H

G

I

Home insurance

F1

F2

F3

F4

F5

F6

F7

F8

Home insurance

Version 1.0

(14)

Strong federation

…Add pointers for sharing

F1

F2

F3

F4

F5

F6

F7

F8

Home insurance

Version 1.0

F20

F21

F22

Commercial insurance

Version 1.5

F5

F6

F7

F8

=

(15)

A

B

A

C

B

Strong federation

F1

F2

F3

F4

F5

F6

F7

F8

F20

F21

F22

Home insurance

Version 1.0

Shared

fragments

Commercial insurance

Version 1.5

Propagation policy:

Instant

Propagation policy:

Instant

Home insurance

Version 1.1

Commercial insurance

Version 1.6

Synchronize via change propagation at the level of

single fragments

(16)

3. Strong federation

100 updates performed on randomly selected fragments

After each update, we measured # automatic changes

(17)

Unification

sb.855 sb.865 sb.753 sc.107 cs.106 sc.213 bc.213 bs.180 bc.920 bc.925 cs.926 cb.926 sb.810 sb.857 Return Management

Loss or Damage Management bs.861 sb.856 cb.delivery bs.860 cb.212 bs.850 sb.870 bs.820 [else] bc.812 [payment correct] cs.210 cb.210 sc.820 bc.820 bc.812 sc.920 bs.report sc.925 sc.108 bc.108 cb.210 / cb.224 bc.820 sb.180 cb.214 bc.213 sc.213 cb.240 cs.240 sb.832 sb.889 bs.846 sb.889 sb.832 sb.852 [-] (re-do request) timeout timeout timeout bc.107 cb.106

(may contact a new carrier) sb.843

bs.confirmation bs.869 bs.840

timeout (no new carrier)

timeout cs.217 cb.217 sc.227 bc.227 bc.250 cs.163 cb.163 bc.204 sc.204 cb.990 sb.163 sb.163 bs.163 bs.163 sb.163 bs.163 bs.163 sb.163 sb.163 sb.163 bs.163 bs.163 sb.163 bs.163 bc.216 bs.163 sb.163 sc.215 cs.990 sc.pickup sc.216 bc.163 sc.163 cb.163 cs.163 bc.163 sc.163 sc.211 cs.163 cs.163 sc.163Pickup AppointmentRequest

Pickup Appointment Confirmation sc.163 Pickup Appointment Request Pickup Appointment Confirmation bc.163 bc.163 cb.163 cb.163 cs.163 cs.163 sc.163 sc.163 bc.216 sc.216 bc.163 bc.163 cb.163 cb.163 reset reset bs.853 bs.754 sb.notification bs.notification c: cs.214 cs.214 [repeat]

Merge in one über model based on “similar” fragments

sb.855 sb.865 sb.753 sc.107 cs.106 sc.213 bc.213 bs.861 sb.856 cb.delivery bs.860 cb.212 bs.850 sc.108 cb.214 bc.213 sc.213 cb.240 cs.240 sb.832 sb.889 bs.846 sb.889 sb.832 sb.852 [-] (re-do request) timeout timeout sb.843 bs.confirmation bs.840 cs.217 sc.227 bc.250 cs.163 cb.163 bc.204 sc.204 cb.990 sb.163 sb.163 bs.163 bs.163 sb.163 bs.163 bs.163 sb.163 bc.216 sc.215 cs.990 sc.pickup sc.216 bc.163 sc.163 cb.163 cs.163 bc.163 sc.163 cs.163 cs.163 sc.163Pickup AppointmentRequest

Pickup Appointment Confirmation sc.163 Pickup Appointment Request Pickup Appointment Confirmation bc.163 bc.163 cb.163 cb.163 reset reset bs.853 bs.754 sb.notification c: cs.214 cs.214 sb.855 sb.865 sb.753 sc.107 cs.106 sc.213 bc.213 bs.180 sb.810 sb.857 Return Management bs.861 sb.856 cb.delivery bs.860 bs.850 sb.870 bs.820 sc.108 bc.108 sb.180 cb.214 sb.832 sb.889 bs.846 sb.889 sb.832 sb.852 [-] (re-do request) timeout timeout timeout bc.107 cb.106

(may contact a new carrier) sb.843

bs.confirmation bs.869 bs.840

timeout (no new carrier)

timeout cs.217 cb.217 sc.227 bc.227 bc.250 cs.163 cb.163 sb.163 sb.163 bs.163 bs.163 sb.163 bs.163 bs.163 sb.163 sc.pickup bc.163 sc.163 cb.163 cs.163 bc.163 sc.163 sc.211 cs.163 cs.163 sc.163 sc.163 bc.216 sc.216 bc.163 bc.163 cb.163 cb.163 reset reset bs.853 bs.754 sb.notification bs.notification cs.214 cs.214 [repeat]

=

+

(18)

Über model: characteristics

1. Behavior-preservation

2. Traceability

3. Reversibility

Commerial+Home

insurance

A

D

C

B

Home

insurance

A

D

C

Commercial

insurance

A

B

C

+

=

variation

point

(19)

Suncorp: example of merging by product

Motor

v 1.0

Home

v 1.0

Commercial

v 1.0

v 1.0

CTP

Suncorp Base

v 1.0

CTP

v 2.0

merging

configuration

Liability

v 1.0

Suncorp Base

v 2.0

(20)

Variants merging @ Suncorp

We run our merging algorithm over a collection of Suncorp models:

1.

Motor claim initiation + Home claim initiation

(25% of which merged manually @ Suncorp in 130 man-hours!)

2.

Motor claim lodgement + Home claim lodgement

(21)

Which approach fits best my organization?

Weak federation

Unification

Strong federation

(22)

Meet-in-the-middle?

1.Simplify individual process models

(enforce modelling conventions, e.g. labels, layout, degree of abstraction)

2.Remove repository redundancies

(extract cloned fragments and store these as reusable sub-processes)

3.Identify similarities and merge

Results:

Smaller and cleaner models

Less models

(23)

15,

000 p

ro

cess

step

s

3,000

process steps

Minimise process model complexity

Standardise across brands

Merge across products

Meet-in-the-middle @ Suncorp

(24)

Vision: AProMoRe

Facilitate the management of large process model

collections via:

Advanced Filtering

query for similarities or exact matches

Clever Design

control the creation and evolution of process model collections

Enhanced Presentation

improve the understanding of process model

collections

Evaluation

(25)

Key Messages

Reculer pour mieux sauter:

simplify

consolidate

Build agility as you consolidate:

Product/Brand-aware

Context-aware

(26)

Dr Marcello La Rosa

Senior Lecturer

BPM Group

Queensland University of Technology

e

[email protected]

w

http://marcellolarosa.com

More information at

www.apromore.org

www.processconfiguration.com

http://marcellolarosa.com

References

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