Risk analysis of supply: Comparative performance and short-term prediction

L. Walls; J. Quigley; M. Parsa; E. Comrie

doi:10.1201/9781315374987

Risk analysis of supply: Comparative performance and short-term prediction

L. Walls, J. Quigley, M. Parsa, E. Comrie

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Our paper describes how we can use the empirical data about supplier characteristics and performance records typically held in enterprise resource systems to better understand and predict aspects of supplier risk. These data have been primarily recorded by the manufacturing companies to schedule production and manage operations. We show how such data might also be exploited to provide information to better manage risk in the supply process.

Original language	English
Title of host publication	Risk, Reliability and Safety: Innovating Theory and Practice
Subtitle of host publication	Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016)
Editors	Lesley Walls, Matthew Revie, Tim Bedford
Publisher	CRC Press/Balkema
Pages	347-354
Number of pages	8
ISBN (Electronic)	9781498788984
ISBN (Print)	9781138029972
DOIs	https://doi.org/10.1201/9781315374987
Publication status	Published - 2017
Event	26th European Safety and Reliability Conference, ESREL 2016 - Glasgow, United Kingdom Duration: 25 Sept 2016 → 29 Sept 2016

Conference

Conference	26th European Safety and Reliability Conference, ESREL 2016
Country/Territory	United Kingdom
City	Glasgow
Period	25/09/16 → 29/09/16

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10.1201/9781315374987

Cite this

Walls, L., Quigley, J., Parsa, M., & Comrie, E. (2017). Risk analysis of supply: Comparative performance and short-term prediction. In L. Walls, M. Revie, & T. Bedford (Eds.), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) (pp. 347-354). CRC Press/Balkema. https://doi.org/10.1201/9781315374987

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abstract = "Our paper describes how we can use the empirical data about supplier characteristics and performance records typically held in enterprise resource systems to better understand and predict aspects of supplier risk. These data have been primarily recorded by the manufacturing companies to schedule production and manage operations. We show how such data might also be exploited to provide information to better manage risk in the supply process.",

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Walls, L, Quigley, J, Parsa, M & Comrie, E 2017, Risk analysis of supply: Comparative performance and short-term prediction. in L Walls, M Revie & T Bedford (eds), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). CRC Press/Balkema, pp. 347-354, 26th European Safety and Reliability Conference, ESREL 2016, Glasgow, United Kingdom, 25/09/16. https://doi.org/10.1201/9781315374987

Risk analysis of supply: Comparative performance and short-term prediction. / Walls, L.; Quigley, J.; Parsa, M. et al.
Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). ed. / Lesley Walls; Matthew Revie; Tim Bedford. CRC Press/Balkema, 2017. p. 347-354.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AB - Our paper describes how we can use the empirical data about supplier characteristics and performance records typically held in enterprise resource systems to better understand and predict aspects of supplier risk. These data have been primarily recorded by the manufacturing companies to schedule production and manage operations. We show how such data might also be exploited to provide information to better manage risk in the supply process.

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Risk analysis of supply: Comparative performance and short-term prediction

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