Operations and Information Management Group
Supply Chain Disruption Risk can be identified, with the aid of Information Flows Analysis and Social Network Analysis.
Supply Chain Risk Management (SCRM) has become a popular area of research and study in recent years. This can be highlighted by the number of peer reviewed articles that have appeared in academic literature. This coupled with the realisation by companies that SCRM strategies are required to mitigate the risks that they face, makes for challenging research questions in the field of risk management. The challenge that companies face today is not only to identify the types of risks that they face, but also to assess the indicators of risk that face them. This will allow them to mitigate that risk before any disruption to the supply chain occurs. The use of social network theory will aid in the identification of disruption risk. This thesis proposes the combination of social networks, behavioural risk indicators and information management, to uniquely identify and therefore mitigate disruption risk.
The propositions that were developed from the literature review and exploratory case study in the aerospace OEM, in this thesis are:
- By improving information flows, through the use of social networks, we can identify supply chain disruption risk.
- The management of information to identify supply chain disruption risk can be explored using push and pull concepts.
The propositions were further explored through four focus group sessions, two within the OEM and two within an academic setting.
The literature review conducted by the researcher did not find any studies that have evaluated supply chain disruption risk management in terms of social network analysis or information management studies. The evaluation of SCRM using these methods is thought to be a unique way of understanding the issues in SCRM that practitioners face today in the aerospace industry.
Supply Chain Risk Management, Social Networks, Push/Pull Information Management, Aerospace Supply Chain
During the period of this research, the following publications have been contributed to:
1. Singh, A., Bennett, D. April 2011. The management of information to identify supply chain disruption risk can be explored using push and pull concepts. Proceedings in POMS Reno, USA.
2. Singh, A., Bennett, D. May 2010. Predicted and Routine Supply Chain Risks are More Important than Unknown Risks: Managerial Perspectives on Supply Chain Disruption Risk. (Presentation only). POMS Vancouver, Canada.
3. Brookes, N., Singh, A. May 2009. A comparison of supply chain risk perceptions in Original Equipment Manufacturers and Tier One suppliers: A case-study in the aerospace industry. Proceedings in POMS Florida, USA.
4. Singh, A., Brookes, N. June 2009. An evaluation of supply chain risk management tools used by a manufacturer in the aerospace industry. Proceedings in EurOMA Gothenburg, Sweden.
5. Brookes, N., Singh, A. May 2008. Social Networks and Supply Chains. Proceedings in POMS San Diego, USA.
6. Singh, A., Brookes, N. June 2008. An Initial Supply Chain Risk Pilot Study In A SME In The Aerospace Industry. Proceedings in EurOMA Groningen, Netherlands.
7. Singh, A., Brookes, N. August 2008. Supplier Risk Relationship Management (SR2M): A Theoretical Framework. Proceedings in World POM Tokyo, Japan.