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Complex Networks Approaches to Supply Chain Management

When:
Tuesday, 24 January, 2017
Time:
10:30am - 1:30pm
Where:
Sir Alwyn Williams Building, Glasgow, G12 8QN get directions

The Urban Big Data Centre's first free SASNet training seminar of 2017 will be delivered by our partners from the Business and Local Government Data Research Centre.

In this training course, Dr Guven Demirel and Professor Vania Sena will give an introductory overview of supply chain management, and will then provide an introduction to basic network concepts and measures, illustrating how these can be used on real-life data. They will discuss how complex networks approaches can provide insights on the relationships between the supply chain network structure and the response to disturbances and disruptions. They will investigate dynamical as well as structural properties of supply chain networks and their implications for stability.

In the past couple of decades, supply chain networks have become highly complex due to trends such as elongation, globalisation, and intertwining of different functions and business units. The complexity has manifested itself in the cascading effects of local disruptions throughout supply chain networks, which were particularly evident in a number of high-profile supply chain failure incidents. Resilience and robustness reflect the capability of supply chain networks to withstand and recover from such shocks.

Our objective is to establish an introductory understanding of supply chain management and the founding principles of different complex network approaches in the context of supply chain networks. No prior knowledge is required.

Registration is available via Eventbrite. ***Please note: Registration is required for catering purposes. Refreshments will be provided as well as a networking lunch.

If you have any questions about the workshop, please contact: Keith.Maynard@glasgow.ac.uk




Call for Expressions of Interest

The Business and Local Government Data Research Centre (BLGDRC) are running a call inviting academic researchers to apply to use their datasets and other data services. Further information is provided via www.blgdataresearch.org/eoicall/

You will need to submit by Friday 27 January 2017 in order for your application to be considered as part of this call.

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