Software-Leitstände für zukünftige Logistikanwendungen Moritz Balz / Klaus Pohl

Transcription

1 Software-Leitstände für zukünftige Logistikanwendungen Moritz Balz / Klaus Pohl

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3 Motivation Quelle: VGB Power Tech GmbH Germany Future Internet Reales System 3

4 Inhalt Zukünftige servicebasierte Systeme Herausforderungen für Logistik Future Internet Leitstände 4

5 Zukünftige servicebasierte Systeme 5

6 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 6

7 Operations Trust and Security Functionality FI Platform 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 7

8 Adaptation SBA Life-Cycle Model Identify Adaptation Need Operation & Management Requirements Engineering Identify Adaptation Strategy Adaptation Evolution Design Enact Adaptation Deployment & Provisioning Realization Run-time Design time 8

9 Monitoring and Adaptation Loop (á la MAPE: Four adaptation processes in self-adaptive software [Salehie et al. 2009]) Change Detection Self Reaction Symptoms Analysing symptoms / detecting adaptation need Adaptation Triggers (2) Detecting (3) Deciding Decision what and how to adapt Decisions (1) Monitoring Collecting execution data, analysing logfiles etc. + data consolidation (4) Acting Enacting adaptation Events Sensors Effectors Actions 9

10 Convergence 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 10

11 Herausforderungen für Logistik 11

12 Scenario 1 B A C Process 1 Process 2 Process 1a Adaptation 12

13 Scenario 2 Company A Company B Adaptation and Cooperation 13

14 Logistics Challenges (1) 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 14

15 Logistics Challenges (2) 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 15

16 Future Internet Leitstände 16

17 FI Technology actual alternatives for cargo transportation & conditions? current temperature of the cargo? properties of real world objects IoT service availability (from third-party suppliers) IoS Future Internet Technologies 17

18 Design Principles Visualisation Learning Enactment Decision Support Detection Monitoring Effector Technology Baseline Sensor 18

19 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 19

20 OPERATIONAL Process Execution paluno STRATEGIC Process Planning Focus on Operational Processes Delivery Pick Up Main Transport Warehouse Warehouse Operational processes: Customs Monitoring using IoT and IoS Adaptation support (automated, human-inthe-loop) Cooperation support Quelle: Projektbeschreibung Logistik Future-Internet-Plattform 20

21 Functional Building-Blocks LoFIP-Cockpit functions Information analysis & visualization Decision support Learning and optimization Information analysis & aggregation Realtime visualization of the supply chain Role-specific user interaction Data harmonization Realtime analysis Simulation Logistic service directory and search Logistic cost and rate calculation Logistic process adaption Extended ratio analysis Self-adaptive process models Focus of LoFIP- Platform Future Internet Cockpit base functions Process control Process and object data management Sensor network connection Process definition Process instantiation Process execution Process data access Object data acquisition Object data access Event aggregation Service infrastructure & Backend system connection Reuse of existing technologies Quelle: Projektbeschreibung Logistik Future-Internet-Plattform 21

22 Cooperation Scenario 1! Example Scenario Transportation of shortlife food products Message: Breakdown truck, location N.. S, temperature Self-Adaptions / Human-in-the- Loop-Adaptation LoFIP Cockpit A Knowledge (IoX) 2 Request: truck (cooled), cargo size, location N.. S, date 4 Knowledge (IoX) LoFIP Cockpit B 3 Order 22

23 Cooperation Architecture Logistik Service Bus Future Internet Technologie Logistik Verzeichnisdienst Future- Internet- Frachtunternehmen A Future- Internet- Frachtunternehmen B Future- Internet- 4PL-Logistikdienstleister Software-Plattform für föderierte Future-Internet- Leitstände Logistik Sensornetz A Logistik Sensornetz B Reale Güterströme Quelle: Projektbeschreibung Logistik Future-Internet-Plattform 23

24 Fazit Zukünftige servicebasierte Systeme Herausforderungen für Logistik Future Internet Leitstände 24