This document summarizes Prof. Jos van Hillegersberg's talk on ICT for Supply Chain Innovation. It discusses several integration scenarios for supply chains, from manual retyping of data to more advanced approaches using APIs, message hubs, open data standards, and intelligent agents. It also briefly describes some of Prof. van Hillegersberg's recent projects applying these concepts, such as using sensors in pharmaceutical logistics and developing a "control tower" system to manage cross-chain operations. The talk highlights seven key challenges to enabling effective business collaboration through digital integration of supply chain processes and information systems.

1. ICT for Supply Chain Innovation
Oct 1st, 2015, Rotterdam
Prof.dr. Jos van Hillegersberg
j.vanhillegersberg@utwente.nl
Industrial Engineering and Business Information
Systems
Sustinable Supply Chain Innovation
Center for Telematics and ICT
FINAL Project Event Invited Talk
http://getservice-project.eu/en/news/get-
service-final-event-announcement

2. Why Business Collaboration
Sharing
Knowledge
Costs
Learning
Bundling
Eliminating
Waste
Complementing
SpecializingAgility
Risk Reduction
Standardising Crossing Border
Regulation

3. Source: J van Hillegersberg 3

4. 5-10-2015 4
Supply Chain integration is still a Challenge…

5. Business-IT architectures may be solid but lack
integration
5

6. The Goal: Agile and Responsive Supply Chain
6

7. Plug and play integration?
7
Plug and
Pray?
Plug and
Pay?
Plug and
run away?

8. Integration scenario’s: The human integrator – view,
call and retype
8

9. Integration scenario’s: The single company portal –
view and (re-)type
9

10. Integration scenario’s: Export and attach - Cut-and-
paste import
10

11. Hub
adapters
Seaterminal
Road
transport
Logistics
forwarder
Traction
provider
Terminal Shipping
Line
Shipper
Integration scenario’s: E-Markets, Community systems
and Integration Hubs + many(custom/standard) adapters
Jos van Hillegersberg, Jimmy Tseng, Rob Zuidwijk, Jo van Nunen (2006).
Hub to Higher Performance? An Internet Hub for the Vos Logistics Supply
Chain. International Journal of Advanced Manufacturing Systems 9(1):
13-23.

12. Integration scenario’s: Open the black box – API’s and
Point-to-Point
12

13. Integration scenario’s: (Cloud based) Message hub +
Services
Source: mulesoft 13

14. Integration Scenario’s – Open data and Linked Open
Data
http://linkeddatabook.com/editions/1.0/ 14

15. Integration Scenario’s – Intelligent agents on top of an
open landscape
15Source: Utwente Bat-man project (funded by
Connekt and IDVV)

16. Integration Scenario’s - Towards Smart Plug
and Play
Source: J. van Hillegersberg 16
The human integrator –
view, call and retype
The single company portal –
view and (re-)type
Open the black box –
API’s and Point-to-Point
Export and attach -
Cut-and-paste import
Integration Hub +
(custom/standard)
adaptors
Cloud based
Message hub +
Services
Open data and
Linked Open Data
Intelligent agents
on top of an
open landscape

17. Some of our recent and current
projects in this space
17

18. Sense and Respond with Sensors in Pharma (Dinalog)
18

19. Sense and Respond with Sensors in Pharma (Dinalog)
19
Hendrik Haan, G., Hillegersberg, J. V., De Jong, E., & Sikkel, K.
(2013). Adoption of wireless sensors in supply chains: a process
view analysis of a pharmaceutical cold chain. Journal of
theoretical and applied electronic commerce research, 8(2), 138-
154.

20. Cross Chain Control Tower (Dinalog)
Source: Dinalog 20

21. MegaPil
SuperShot
AllwaysInTime
Cure2You
Pills4Everyone
XChainCenter
EasyRider
Financing the XChainCenter 2.3 mln 5y total
k€ 300 initially 400k€ annually
XChainCenter savings 3 mln
annually over 5 year = 15 mln
Integration costs XChainCenter
4.7 mln total over 5 yearsUtwente: CrossChainGame

22. Predicting Arrival Times at a Warehouse
Source: Dinalog 4C4More project

23. van der Spoel, S., Amrit, C., & van Hillegersberg, J. (2015).
Predictive analytics for truck arrival time estimation: a field study
at a European distribution center. International Journal of
Production Research, 1-17.
23

24. 24

25. Hubways – an integration hub for the flower industry
(Dinalog)
25

26. Serious game for building support and insight in
Hubways
5-10-2015

27. SynchromodalIT (Dinalog)
27

28. AIS data mining for arrival time prediction
Using Machine Learning for Unsupervised Maritime
Waypoint Discovery from Streaming AIS Data, Dobrkovic, van Hillegersberg and Iacob, Forthcoming in ACM- I-know
28

29. Open Services Quality Model (OSQM)
A. Service (and the
attached service API),
B. Technology
C. (Implementation)-
Support
D. Versioning
Source: Twitter.com 29Harleman, R. (2012). Improving the Logistic Sectors Efficiency using Service Oriented
Architectures (SOA). In 17th Twente Student Conference on IT.

30. 1. Processes/Services
2. Complementary Goals
3. Joint Business Case
5. Semantic Standards
4. Integration Architecture
6. Governance Model
7. Implementation & Change
7 Challenges to business collaboration

31. https://www.futurelearn.com/courses/supply-chain-innovation
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