SERVICE ENGINEERING FOR THE DIGITALIZATION IN FUTURE SEAPORTS. M.Sc. Aaron Heuermann BIBA Bremer Institut für Produktion und Logistik GmbH

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1 SERVICE ENGINEERING FOR THE DIGITALIZATION IN FUTURE SEAPORTS M.Sc. Aaron Heuermann BIBA Bremer Institut für Produktion und Logistik GmbH

2 Maritime Supply Chains Page 2

3 Container Logistics ISO intermodal containers standardization Container ships with cargo capacities up to 20,000 TEU repetitive processes Standardization and repetitive processes enable a high automation Page 3

4 Digitalization in Container Logistics Internal automation in terminals using automatic guided vehicles Partial automation and manual process steps along entire supply chain Internal digital information flows Disruptions in information flows Page 4

5 Project Logistics Main frames, towers, blades etc. with varying sizes individual components Varying conditions and individual processes low automation Page 5

6 Iterative Process and Requirements Assessment Change the system boundaries Logistic Systems Weather, delays etc. Critical Incidents Logistic Processes Process modeling (BPMN 2.0) the container ship is delayed What if Stakeholders Varied views and interfaces Greenfield Planning from scratch and variance comparison Page 6

7 Initial Situation in Container Logistics Decentralized and nontransparent availability of ship schedules and cargo closing deadlines Automatic identification and fleet management systems allow localization of ships and trucks Ship Ship Ship Schedule Schedule Ship Ship Ship Schedule Schedule Ship Ship Ship Schedule Schedule Page 7

8 Service Ideation for Container Logistics Collect and integrate ship schedules and cargo closing deadlines from various sources Intelligent tracking data processing and comparison with schedules Centralized and transparent distribution to all stakeholders Page 8

9 Initial Situation in Project Logistics Long handling operations at distributed locations Experts and certifiers are required at each location Expert knowledge and experience is only available at one location at the same time Individual and no collective knowledge and experiences Page 9

10 Service Ideation for Project Logistics Centralized supervision and controlling of complex handling operations in a virtual control center Intelligent processing of video and sensor data streams Collection and distribution of experiences and expert knowledge Page 10

11 Data relevance Portfolio for Evaluation and Selection low high Make data available (2) Do not implement (4) Implement (1) Wait until data become relevant (3) low Data availability high Page 11

12 System Architecture (I) Microsoft Azure Cloud Services enable high service availability and scaleability Local data selection and preprocessing is required Data encryption and protection is required Page 12

13 System Architecture (II) Data sources Transport Processing Presentation Devices (IP) Devices (IoT) Storage Devices (Low Power) Page 13

14 Iterative Implementation and Evaluation Act Plan Act Plan Check Do Check Do Service maturity Initial situation Other capability levels Smart Vision Page 14

15 Capability Level A in Container Logistics Collect and integrate ship schedules and cargo closing deadlines from various sources Collect automatic identification system and tracking data Compare schedules and actual data to identify conflicts Ship Ship Ship Schedule Schedule Ship Ship Ship Schedule Schedule Page 15

16 Capability Level B in Container Logistics Intelligent calculation of dynamic cargo closing deadlines ATD PTA/ETA Beginn of loading PTD Scheduled shipping time Unloading time Loading time Cargo Closing ATD PTA ETA Beginn of loading PTD Scheduled shipping time Delay Unloading time Loading time Cargo Closing Req. storage time Wasted t. Req. storage time ATD PTA ETA Beginn of loading PTD Scheduled shipping time Delay Unloading time Loading time Dynamic Cargo Closing Saved time Req. storage time ATD = Actual time of departure, PTA = Planned time of arrival, ETA = Estimated time of arrival, PTD = Planned time of departure Page 16

17 Capability Level C in Container Logistics (I) Nowadays, cargo closing is confirmed when a container is at the terminal Location and state tracking allow cargo closing confirmations when containers are closed and in a defined area Page 17

18 Capability Level C in Container Logistics (II) Nowadays, one cargo closing deadline for documents and containers Scheduled shipping time Unloading time Loading time Cargo Closing Processing and storage time Separating the information and material flows leads to multiple cargo closing deadlines and savings Scheduled shipping time Unloading time Loading time Informational Cargo Closing Documents processing time Material Cargo Closing Savings Req. storage time Page 18

19 Smart Vision in Container Logistics Smart Containers interact and with other containers, vehicles and parties autonomously Container2X communication Containers autonomously agree individual processes with other parties according to destination and content Page 19

20 Capability Level A in Project Logistics (I) Remote supervision of handling operations using modern communication and video systems Parallel streaming in a virtual control center Web Cam Drone Body Cam Video Wall Page 20

21 Capability Level A in Project Logistics (II) Nowadays, experts and certifiers are required at each location Travel time and cost Handling Operation A Operation time and cost Travel time and cost Handling Operation B Operation time and cost Remote supervision allows parallel handling operations Handling Operation A Operation time and cost Handling Operation C Add. handling operation Handling Operation B Operation time and cost Further handling operations possible Savings Page 21

22 Smart Vision in Project Logistics Intelligent personal assistants provide state dependent decision support and operation guidelines Additional information via Augmented Reality Combining video and sensor stream analytics with experiences and expert knowledge Page 23

23 Conclusion The Service Engineering Process Continual improvement Service Service Service Service Service Market ideation requirements design implementation test introduction Collection of ideas Process assessment Product model Business Model implementation Product test Marketing activities Evaluation of ideas Requirements assessment Process model Organisational measures Process test Roll out Resource model Human resources measures Resource test User feedback IT architecture IT implementation IT test Page 24

24 Contact M. Sc. Aaron Heuermann Research Scientist +49 (0) BIBA Bremer Institut für Produktion und Logistik GmbH Postanschrift: Postfach P.O.B D Bremen / Germany Geschäftssitz: Hochschulring 20 D Bremen / Germany USt-ID: DE Amtsgericht Bremen HRB HB Tel: +49 (0) 421/ Fax: +49(0)421/ info@biba.uni-bremen.de Internet: Geschäftsführer: Prof. Dr.-Ing. habil. Klaus-Dieter Thoben, Olaf Simon SPONSORED BY Page 25