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Software-Leitstände für zukünftige Logistikanwendungen

Moritz Balz / Klaus Pohl

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Motivation

Reales System

Future Internet

Quelle: VGB Power Tech GmbH Germany

http://www.vgb.org/home.html

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• Zukünftige servicebasierte Systeme

• Herausforderungen für Logistik

• Future Internet Leitstände

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Inhalt

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Zukünftige servicebasierte Systeme

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Future Internet

IoT: Internet of Things

Connected objects & sensors

Identification & measurement

IoS: Internet of Services

On-the-fly service discovery

Cross-organizational processes

IoC: Internet of Content

Content creation & delivery

NoF: Network of the Future

Ubiquitious connectivity

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FI Platform

Op

erati

on

s

Tru

st

an

d S

ecu

rit

y

Fu

ncti

on

ality

App/Services Ecosystem &

Delivery Framework

Access to Internet of

Things

Core Platform Support Services

Cloud Hosting

Interface to Network

Generic (domain-independent) components for key functionality generic enablers

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Adaptation

Requirements

Engineering

Design

Realization

Deployment &

Provisioning

Operation &

Management

Identify

Adaptation

Need

Identify

Adaptation

Strategy

Enact

Adaptation

Evolution Adaptation

Design time Run-time

SBA Life-Cycle Model

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Monitoring and Adaptation Loop

Self Reaction Change Detection

(1) Monitoring

(2) Detecting (3) Deciding

(4) Acting

Sensors Effectors

Symptoms

Events

Adaptation Triggers

Decisions

Actions

(á la MAPE: „Four adaptation processes in self-adaptive software“ [Salehie et al. 2009])

Collecting execution data, analysing logfiles etc. + data consolidation

Analysing symptoms / detecting adaptation need

Decision what and how to adapt

Enacting adaptation

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• Need for converged technology To integrate different aspects

To cope with the complexity

To enable broad usage of FI technology

FI platforms and software services as enablers

• Need for dynamic adaptation To handle changing network connectivity and end-user

devices

To handle failures, e.g. of “sensors”

To cope changes in service provisioning

Monitoring and adaptation services as enablers

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Convergence

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Herausforderungen für Logistik

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Scenario 1

Process 1

A C

B

Process 1a

Process 2

Adaptation

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Scenario 2

Adaptation and Cooperation

Company B

Company A

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• Transport chains

Many participants / stakeholders

Heterogeneous transportation modes (land, air, sea)

Challenging goods (fresh products, chemicals, ..)

Heterogeneous IT landscape (sensors, services, …)

Volatile process execution

Need for robust operational processes

Need for resource efficient operational processes

Fast response to unplanned situations

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Logistics Challenges (1)

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• Tight coupling of levels

Management

Processes

Data

Sensors

Challenges to adaptation

Need for modular operational processes

Need for adaptable system structures

Flexibility in unplanned situations

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Logistics Challenges (2)

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Future Internet Leitstände

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FI Technology

Future Internet Technologies

properties of real world objects

service availability (from third-party suppliers)

current temperature of the cargo?

actual alternatives for cargo transportation & conditions?

IoT IoS

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Design Principles

Monitoring

Detection

Visualisation

Technology

Baseline

Sensor

Decision Support

Enactment Effector

Learning

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LoFIP: Logistik Future Internet Plattform

Konzeptuelle Entwicklung einer Leitstandarchitektur für

Transport & Logistik

Prototypische Umsetzung anhand ausgewählter Szenarien

Facts:

Laufzeit: 07/11 – 07/14

Budget: 6,5 Million EUR

bdf Consultants

Dagmar Wäscher Transporte

SDZ GmbH

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Focus on Operational Processes S

TR

ATEG

IC

P

ro

cess P

lan

nin

g

OP

ER

ATIO

NA

L

Pro

cess E

xecu

tio

n

Ware-house

Pick Up Main Transport

Delivery

Ware-house

Customs

Operational processes:

Monitoring using IoT and IoS

Adaptation support (automated, human-in-

the-loop)

Cooperation support

Quelle: Projektbeschreibung „Logistik Future-Internet-Plattform“

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Functional Building-Blocks

Future Internet Cockpit base functions

Process control

Process and objectdata management

LoFIP-Cockpit functions

Sensor networkconnection

Process definition Process instantiation

Process data access

Object data acquisition Event aggregation

Focusof LoFIP-Platform

Reuse ofexisting

technologies

Information analysis & visualization

Decision support Learning and optimization

Realtime visualization ofthe supply chain

Information analysis & aggregation

Process execution

Object data access

Serviceinfrastructure

&

Backend systemconnection

Role-specific userinteraction

Data harmonization

SimulationLogistic process

adaption

Logistic servicedirectory and search

Logistic cost and rate calculation

Realtime analysis

Self-adaptive process models

Extended ratio analysis

Quelle: Projektbeschreibung „Logistik Future-Internet-Plattform“

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Cooperation Scenario

Self-Adaptions / Human-in-the-

Loop-Adaptation

LoFIP Cockpit A

LoFIP Cockpit B

Order 3

2

Message: Breakdown truck, location N°.. S°,

temperature

1

4

Request: truck (cooled),

cargo size, location N° .. S°,

date

Example Scenario „Transportation of short-

life food products“

Knowledge (IoX) Knowledge

(IoX)

!

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Cooperation Architecture

Logistik Service Bus

LogistikVerzeichnis-

dienst

Future-Internet-Leitstand

@Frachtunter-nehmen A

Future-Internet-Leitstand

@Frachtunter-

nehmen B

Future-Internet-Leitstand

@4PL-Logistik-dienstleister

LogistikSensornetz A

LogistikSensornetz B

Future Internet Technologie

Software-Plattform für föderierte

Future-Internet-Leitstände

Reale Güterströme

Quelle: Projektbeschreibung „Logistik Future-Internet-Plattform“

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• Zukünftige servicebasierte Systeme

• Herausforderungen für Logistik

• Future Internet Leitstände

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Fazit