BPMN 2.0 Introduction

79
ATLANTA BOSTON COPENHAGEN DRESDEN FRANKFURT KARLSRUHE LONDON LÜBECK MANCHESTER NEW YORK PADERBORN TORONTO VARNA BPMN 2.0 Introduction Business Process Modeling Notation from Version 2.0: Business Process Model and Notation This presentation gives an overview of the BPMN 2.0 elements and how the standard can be used for business process modeling. Please run these slides in presentation mode. They contain several animations for a better understanding!

description

BPMN 2.0 Introduction Business Process Modeling Notation

Transcript of BPMN 2.0 Introduction

Page 1: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

BPMN 2.0 Introduction Business Process Modeling Notation

from Version 2.0:

Business Process Model and Notation

This presentation gives an overview of the BPMN 2.0 elements and how

the standard can be used for business process modeling.

Please run these slides in presentation mode. They contain several

animations for a better understanding!

Page 2: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Agenda

Page 3: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Task Sequence Flow Data Object

Event Message Flow Group

Gateway Association Annotation/

Association

BPMN Basic Elements

Flow objects Connectors Artifacts

Text

Participant

La

ne

L

an

e

Pool

Page 4: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Important Terms

Process Model Description of Process

Prozess Instance Initiated Process

Token ≠ Document

(virtual) Object(s) routed on one

or more path through the

model

Correlation Assignment of a process

instance on base of a unique

key (UUID)

Page 5: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

A first Process

Buying Food Meal

cooking Eating Meal

Meal ready Appetite

satisfied

Sequence-

flow Start Event

(Blank) End Event

(Blank)

Interim Event

(Blank)

Task

Appetite

realized

Appetite

realized

Object

Passive Verb Food

buying

Object

Verb

Event Task

Page 6: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda - Gateways

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 7: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Exclusive (XOR-)Gateway

Looking for

Recipe

Pasta

Cooking

Steak

Roasting

Requested

Recipe?

Steak

Roasted

Data based

Exclusive

Gateway

(branching)

XOR-Split

Appetite

realized

X

Salad

Preparing

Pasta

cooked

Salad

Prepared

X =

A Gateway is no Task

Pasta

Steak

Salad

Page 8: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Exclusive (XOR-)Gateway Merging

Looking

for

Recipe

Cooking

Pasta

Roasting

Steak

Data based

Exclusive

Gateway

(merging)

XOR-Join

X Preparing

Salad X Eating

Meal

10 min

20 min

Annotation

Gateway-Joins are optional!

Pasta

Steak

Requested

Recipe?

Appetite

realized Appetite

satisfied

Page 9: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Parallel Gateway AND-Split & AND-Join

Looking for

Recipe Cooking

Pasta

Roasting

Steak

X X Eating

Meal

Preparing

Salad

+ +

Parallel Gateway

(synchronizing) Parallel Gateway

(parallizing)

Pasta

Steak

Salad

Requested

Recipe?

Appetite

realized Appetite

satisfied

Page 10: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Understanding the Token 1/3 When does the token finishing?

Looking for

Recipe Cooking

Pasta

Roasting

Steak

Appetite

realized

X X Êating

Meal

Preparing

Salad

15 min

20 min

10 min

5 min 15 min

35 min

30 min

At this position the engine

does not wait for the

second token

X Pasta

Steak

Salad

Requested

Recipe?

Appetite

satisfied

+

Page 11: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Understanding the Token 2/3 correct model

Looking for

Recipe Cooking

Pasta

Roasting

Steak

Appetite

realized

X X Eating

Meal

Preparing

Salad

15 min

20 min

10 min

5 min 15 min

35 min

X Pasta

Steak

Salad

Requested

Recipe?

Appetite

satisfied

+ +

Page 12: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Editing Task

1

Task Started Task 1 finished

Editing Task

2

10 min

15 min

10 min

15 min

Task 2 finished

Task 1

Task 2

Understanding the Token 3/3 When does the token finishing?

+

Page 13: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Data Based Inclusive Gateway OR-Split & OR-Join 1/4

We want:

- Only one salad or

- One salad and „something substantial“

like pasta or steak or

- Only „something substantial“

Page 14: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Data Based Inclusive Gateway OR-Split & OR-Join 2/4

Looking

for

Recipe

Cooking

Pasta

Roasting

Steak

X X Eating

Meal

Preparing

Salad

O O

Data based

inclusive Gateway

(synchronising)

Data based

inclusive Gateway

(parallelizing

Something

Substantial

Steak

Salad

Requested

Variant

Pasta

OR-Split = and - or - Situation

one, several or all paths

15 min

20 min

10 min

5 min 15 min

Appetite

realized

Requested

Recipe?

Appetite

satisfied

Page 15: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Data Based Inclusive Gateway OR-Split & OR-Join 3/4

35 min

Looking

for

Recipe

Cooking

Pasta

Roasting

Steak

X X Eating

Meal

Preparing

Salad

Something

Substantial

Steak

Salad

Requested

Variation

Pasta

15 min

20 min

10 min

5 min 15 min

Appetite

realized

Requested

Recipe?

Appetite

satisfied

O O

Page 16: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Data Based Inclusive Gateway OR-Split & OR-Join 4/4

Looking

for Recipe Cooking

Pasta Eating

Meal

Preparing

Salad

O O

Salad

Pasta

20 min

10 min

5 min 15 min

X Eating external

Eating at home

Salad

tastefull?

Appetite

Not satisfied

Appetite

realized

Requested

Recipe?

Appetite

satisfied

Two possible tokens and ends!

Page 17: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Standard Flow

Looking

for recipe Cooking

Pasta

Requested

Menue

Appetite

realized Appetite

satisfied

Eating

Meal

Roasting

Steak

X X

Pizza

Pasta

Ordering

Pizza

Steak

What happens if you neither want to eat pasta nor steak?

Deadlock – the token stops at a undefined position

=> „Other“-Tasks to model

or:

Page 18: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

BPMN does not specify what happens if no ending path is being executed

There are no implicit sequence flows allowed => all sequence flows must be modeled

Use a standard flow if there is a danger of a dead lock

BPMN Rules & Etiquette

Page 19: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Complex Gateway 1/3

Exercise:

We want to order pizza and are evaluating available

menus and internet offers.

As soon as one taks is finished we want to order!

Page 20: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Complex Gateway 2/3

Appetite

realized

Appetite

satisfied

Ordering

Pizza

Reading

menu

+ + Researching

Internet Offer

Eating

Meal

Appetite

realized

Appetite

satisfied

Ordering

Pizza

Reading

menu

+ X Researching

Internet Offer

Eating

Meal

Appetite

realized

Appetite

satisfied

Ordering

Pizza

Reading

menu

+ O Researching

Internet Offer

Eating

Meal

Page 21: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Complex Gateway 3/3

If several tokens are arriving at a complex gateway, the gateway will wait for

a predefined number of tokens before the merged token will be routed to

next task. (the number of tokens will be specified by a comment assigned

to the complex gateway)

Appetite

realized

Appetite

satisfied

Ordering

Pizza

Reading

menu

+ Researching

Internet Offer

Eating

Meal X

I I

Page 22: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Combination of Gateways

Looking

for recipe Preparing

Salad

Appetite

realized Appetite

satisfied

Eating

Meal

Ordering

Chinese Meal

+ +

Pizza Ordering

Pizza

Chinese Meal X X

Page 23: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Return Jump with Gateways

Reorder

ok

Looking

for recipe Preparing

Salad

Appetite

realized Appetite

satisfied

Eating

Meal + +

Pizza

Ordering

Pizza

X X

Page 24: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Conditional Flow

Looking for

Recipe

Cooking

Pasta

Pasta?

Eating Meal

Roasting

Steak

Steak?

1. Without Join-Gateway it is not possible to model a synchronization!

2. Reduced possibilities for condition checks

3. Conditional flows following the semantic of OR-Splits

Appetite

realized Appetite

satisfied

Page 25: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda - Lanes

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 26: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools & Lanes A

rno

Nadja

flat-

sharing c

om

munity

Looking

for recipe Cooking

Pasta

Requested Dish Appetite

realized

Appetite

satisfied

Eating

Meal

Roasting

Steak

X X Pasta

Steak

Pool

Lanes

Only Arno will eat pasta or steak!

Page 27: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools & Lanes - Correct A

rno

Nadja

flat-

sharing c

om

munity

Looking

for recipe Cooking

Pasta

Requested Dish Appetite

realized

Appetite

satisfied

Eating

Meal

Roasting

Steak

X X Pasta

Steak

Pool

Eating

Meal

Appetite

satisfied

Both will eat pasta or steak – but Arno will decide!

Page 28: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools & Lanes Variants

Lane 1

Lane 2

Task 1

Start

detected

End detected

Task 2

Lane 3

.2

Lane 3

.1

Pool 1

Lane 3

Task 3

Task 4

End detected

End detected

Page 29: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda - Events

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 30: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Events

Catching

Events

eingetretene

Ereignisse

Page 31: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Interrupting / Resuming

Resuming

Interrupting

Throwing Events

Catching Events

Page 32: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Events & Correlation wrong

Task 1

Start variant 1

detected

End

detected

Task 2

Task 3

Task 4

End detected

End detected

Start variant 2

detected

+

Two start events are throwing two different process universal ids

=

two process instances

Page 33: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Events & Correlation correct

Task 1

Start

detected

End

detected

Task 2

Task 3

Task 4

End detected

End detected

?

Event 2

Page 34: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Event Sequences

Task 1

Start

detected End

detected

Task 2 ?

Event 2

?

Event 3

Events must be proceed one after the other

Task 1

Start

detected

End

detected

Task 2

?

Event 2

?

Event 1

AND-Join-Gateway waits for both Events

+ +

Page 35: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Interrupting Task Execution interrupting boundary intermediate event

Task 1

Start

detected End

detected

Task 2

?

Event 1

Task 1 will be interrupted, if event 1 appears.

Attention: Only during execution of a task!

Task 3

End

detected

Page 36: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Execution of a new Task/Token None interrupting boundary event

Task 1

Start

deteted Ende

deteted

Task 2

Event 1

Task 1 will be continued if event 1 appears.

Task 3 will be executed parallel to task 2

For each new appeared event 1 a separate UUID (Token) will be created.

Task 3

Ende

deteted

Page 37: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Top Level Sub process

interrupting

Sub process non-

interrupting

Blank

Receive Message

Timer

Escalation

Condition

Error

Compensation

Signal

Multiple (one from

many)

Multiple / Parallel

Start Events

Page 38: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Catch Occurred Attached

interrupting

Attached non

interrupting

Receive message

Timer

Escalation

condition

Link

Error

Cancel

Compensation

Signal

Multiple

Multiple / Parallel

Intermediate Catching Events

Page 39: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Throw Intermediate End

Blank

Send Message

Escalation

Link

Error

Cancel

Compensation

Signal

Multiple

Terminate

Throwing Events

Page 40: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Message Intermediate Events

Looking for

Pizza

Appetite

realized Appetite

satisfied

Eating

Pizza

Pizza Ordered Pizza delivered

Looking for

Pizza

Appetite

realized Appetite

satisfied

Eating

Pizza

Pizza ordered Pizza delivered

Ordering

Pizza

With the following process two pizzas would be ordered!

Messages will be sent to none pool members (BPMN rule)

The recipient must be known!

=> Message events regard on messages, which the process receives from

externals.

Page 41: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

In Intervalls

Regularly at defined time

In time relation to a specific event

Once at defined time

Timer Events

Page 42: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Timer Events

Leaving

bed

Monday –

Friday

at 7:00 Arrived at

Office

Driving

underground

07:45

Eating

cornflakes

Reading

documents

Every two

hours

Reading

Mails

10 min tea

break

Looking for

hotel

6 months

before

vacations

Packing

suitcase

1 day before

vacations

Booking

hotel …

Buying ice

14.6. 9:00 clock

Eating ice with

colleagues

14.6. 14:00 Uhr

Sending

invitations …

Page 43: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Error-Events - only! termination

Baking

Pizza

Setting

table

Appetite

realized

Appetite

satisfied

Eating

Meal

Ordering

pizza

Pizza

charred

Pizza erhalten

Page 44: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Conditional-Events

Switching

on Oven

Frozen Pizza

requested

Pizza

eaten

Inserting

Pizza into

Oven

Removing

Pizza

Oven 180° Waiting 20 min

Éating

Pizza

The condition of an occured event must be

completely independent from the actual proces!

Page 45: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Signal-Events

Buying

Pizza

Pizza-TV-Spot

seen Pizza rated on

pizzatest.de

Inserting

Pizza into

Oven

Removing

Pizza

hungry 20 min waited

Eating

Pizza

Messages have a recipient – Signals not!

Anybody who receives a signal can decide whether he wants to act or not!

Page 46: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Link-Events

Ende

realized

Task 2

Task 1

Start

realized

A

A

Page 47: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Compensations-Event - (Transactions)

Carrying out

Activity

Watching

TV

End realized

Friday

1 pm

Organizing

Evening

X

X Reserving

Tickets

Canceling

Cinema

Arrange

meeting with

friends

Canceling

Friends

X End realized

Cancel Activity

Still Wish?

ja

nein

Friday

6 pm

Requested

Activity?

Cinema

Friends

Page 48: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

The started task takes effect only inside the actual pool

Only if task of attached compensation was carried out

The link to the compensation task must be an association (pointed line)

Compensation task is a „specific task“ (see following slide)

Effect of Compensation

Page 49: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Multiple Event

Buying

Pizza

Eating

Pizza

Pizza-Spot

seen

Pizza rated Getting hungry

Buying

Pizza

Eating

Pizza

Get

recommendation

Sent

recommendation

Getting hungry

Pizza-Spot

seen Pizza rated

=

Page 50: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Catching Event: there must be one event active (caught)

Throwing Event: all included events must be thrown not very useful but helpful for a better overview

Multiple Event – Effect

Page 51: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Cancel Event (only sub processes)

Request

Vacations

Organize

Journey

Arranging

Visit

Canceling

Visit

Journey

Booked

Booking

Hotel Booking

Flight

Booking

other Hotel

Hotel

Booked out

Journey

Canceled

All Hotels

booked out

Request

Denied

Canceling

Hotel

Cancel

Organizing Journey

Canceling

Flight

Page 52: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Event Based Gateway

Ordering

Pizza

Appetite

realized

Appetite

satisfied

Eating

Pizza

60 min

Pizza received

Calling

Pizzaria again

Pizza received

XOR-Semantic

One of the following events will be carried out, the other will be destroyed!

Page 53: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda – Specific Tasks

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 54: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Additional Tasks – Types 1/3

General

Service

Manual

User

Send

Receive

Script

Rule

Reference –

not allowed

anymore

Call

Page 55: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Tasks – Types 2/3

General

Service Automatically proceed by the engine /

use of a Web Service

Manual by a user – explicite not by support of a

software system

User caused by the process engine – edited

and completed by a user

Page 56: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Tasks – Types 3/3

Send technical – for asynchrony

communication

Receive technical – for asynchrony

communication

Script software code proceed by engine

routing by business rules Rule

It is possible to define company specific tasks!

Call

references a global task

Page 57: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Tasks – Annotations 1/3 Loops

Suggesting

Meal

1 am Appetite

satisfied

Cooking

Meal

Until all agree

Suggesting

Meal X X

Agree all?

yes

no …

Appetite

satisfied 1 am

Suggesting

Meal X yes

no …

Appetite

satisfied

1 am Agree all?

Page 58: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Task – Annotation 2/3 Multiple Task

Looking for

Meal

1 am Appetite

satisfied

Cooking

Meal

All interested

With a multiple task it is possible to parallize tasks dynamically.

This task will initialized multiple and proceed sequential or parallel!

Page 59: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Specific Tasks - Annotation 3/3 Compensation

Inviting for

Meeting

1 am Appetite

satisfied

Preparing

Meeting

Canceling

Meeting (to

anybody)

Page 60: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda – Sub Processes

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 61: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Sub Processes

… Task

1 am Appetite

satisfied

Sub Process

+

Task 2 Task 3

Appetite

satisfied

Sub Process

There are embedded, reusable and referenced sub processes.

BPMN 2.0 only knows embedded sub processes. They are

embedded in a pool or lane and have a blank start event.

Page 62: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Sub Process – Attached Events

Looking for

Recipe

1 am Appetite

satisfied

Cooking

Meal +

Eating

external

Oven demaged

• Cancel at message, time and conditional events, if sub process

has to react on external activity!

• At errors, cancelations and escalations messages will be

transferred to the main process.

• It is possible to use multiple intermediate events.

Page 63: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Sub Process - Annotation

Sub Process

+

Sub Process

+

Sub Process

+

Semantic identical to

annotations of tasks.

The annotation „Adhoc“ => is only at sub processes allowed ~

Journey planning

Turning off

Radiator

Watering

Plants

Updating

Voice Mail

Paking

Suitcase

1 am

~

Semantic: All,

any or only one

is possible. The

decision is

taken by the

user.

Page 64: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Event - Sub Processes

Preparing Meal

Inviting

Friends

Looking for

Recipe

Cooking

Meal

Eating

Meal

Inviting Additional Guest

Getting Meal External

Oven demaged

Ordering

Meal

Friend invites

someone

Taking into Account

another Guest

Page 65: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Event - Sub Processes Collapsed

Preparing Meal

Inviting

Friend

Inviting

Additional Guest

Looking for

Recipe

Cooking

Meal

Eating

Meal

+

Getting Meal

External +

Page 66: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda - Pools

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 67: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools Message Flows - ALLOWED

Page 68: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools Message Flows – NOT ALLOWED

X

- Events with message flows, which are not the type message.

- Or generally spoken:

Gateways with Message Flows

Page 69: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pool Example Pizzaria

Baking Pizza

Delivering

Pizza

Cook

Piz

zaria

La M

am

a

Cashing

Pizza Carr

ier

Chris H

ill

Custo

mer Ordering

Pizza

Appetite

realized

Appetite

satisfied

Eating

Pizza

60 min

Pizza

received

Asking at

Pizzaria

again

Pizza received

Order Receipted

Pizza

invoiced

Page 70: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pool Example Pizzaria

Baking Pizza

Delivering

Pizza

Cook

Piz

zaria

La M

am

a

Cashing

Pizza Carr

ier

Chris H

ill

Custo

mer Ordering

Pizza

Appetite

realized

Appetite

satisfied

Eating

Pizza

60 min

Pizza

received

Asking at

Pizzaria

again

Pizza received

Order Receipted

Pizza

invoiced

Paying

Pizza

Page 71: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pool Collapsed

Pizza Selling

La Mama

Chris H

ill

Custo

mer Ordering

Pizza

Appetite

realized

Appetite

satisfied

Eating

Pizza

60 min

Pizza

received

Asking at

Pizzaria

again

Pizza received

Paying

Pizza

Page 72: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Pools Collapsed

Pizza Selling

La Mama

Pizza Ordering

Order Asking Again Delivering Paying Cashing

Page 73: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Multiple Instances Pools

Customer

Pizza

fakturiert

Supplier

Getting

Offer

Selecting

Offer

Ordering

Product

finished Received

Order

Page 74: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Agenda - Artifacts

Basic Terms

Gateways

Lanes

Events

Additional Tasks

Sub Processes

Pools

Artifacts

Page 75: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Artifacts and Associations

Task 1 Task 2 Ordering

Product

Status A

Data 1

Data 2

Status B

Data 1

• Additional symbols available

• Combination possible

• Own symbols allowed

Status A

Input

Output

Liste

Datenablage

Page 76: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

END BPMN Poster:

http://www.bpmb.de/images/BPMN2_0_Poster_EN.pdf

Page 77: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

PAVONE Ltd, UK

School House, Hackforth

BEDALE, N. Yorks. DL8 1PE

United Kingdom

Phone: +44 (0) 1748 811527

E-Mail: [email protected]

PAVONE AG

Technologiepark 9

33100 Paderborn

Phone: +49 52 51 / 31 02-0

Fax: +49 52 51 / 31 02-99

E-Mail: [email protected]

PAVONE AG in Böblingen

Herrenberger Str. 122

71034 Böblingen

Phone: +49 7031 / 4997 10

Fax: +49 70 31 / 4997 97

E-Mail: [email protected]

Contact: [email protected]

For more information please visit our

homepage http://www.pavone.com

Page 78: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Throwing Events Catching Events

X

X

I I

~

Page 79: BPMN 2.0 Introduction

ATLANTA ▪ BOS TON ▪ COP E NHAGE N ▪ DRE S DE N ▪ FRANKFURT ▪ KARLS RUHE ▪ LONDON ▪ LÜBE CK ▪ M ANCHE S TE R ▪ NE W YORK ▪ P ADE RBORN ▪ TORONTO ▪ V ARNA

Ein Prozess

Fluss-Objekte Verbindende Objekte

Artefakte

Text

Teilnehme

r

Lan

e

Lan

e P

ool