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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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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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• 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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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“