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Documents authored by Qazi, Abroon

Document
Complete Volume
DOI: 10.4230/OASIcs.SCOR.2016
OASIcs, Volume 50, SCOR'16, Complete Volume

Authors: Bradley Hardy, Abroon Qazi, and Stefan Ravizza

Published in: OASIcs, Volume 50, 5th Student Conference on Operational Research (SCOR 2016)

Abstract
OASIcs, Volume 50, SCOR'16, Complete Volume
Cite as

5th Student Conference on Operational Research (SCOR 2016). Open Access Series in Informatics (OASIcs), Volume 50, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Proceedings{hardy_et_al:OASIcs.SCOR.2016,
  title =	{{OASIcs, Volume 50, SCOR'16, Complete Volume}},
  booktitle =	{5th Student Conference on Operational Research (SCOR 2016)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-004-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{50},
  editor =	{Hardy, Bradley and Qazi, Abroon and Ravizza, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2016},
  URN =		{urn:nbn:de:0030-drops-65887},
  doi =		{10.4230/OASIcs.SCOR.2016},
  annote =	{Keywords: Performance and Reliability, Design Tools and Techniques, Nonnumerical Algorithms and Problems, Optimization, Applications, Learning}
}
Document
Front Matter
DOI: 10.4230/OASIcs.SCOR.2016.0
Front Matter, Table of Contents, Preface, Organisation, List of Authors

Authors: Bradley Hardy, Abroon Qazi, and Stefan Ravizza

Published in: OASIcs, Volume 50, 5th Student Conference on Operational Research (SCOR 2016)

Abstract
Front Matter, Table of Contents, Preface, Organisation, List of Authors
Cite as

5th Student Conference on Operational Research (SCOR 2016). Open Access Series in Informatics (OASIcs), Volume 50, pp. 0:i-0:xii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{hardy_et_al:OASIcs.SCOR.2016.0,
  author =	{Hardy, Bradley and Qazi, Abroon and Ravizza, Stefan},
  title =	{{Front Matter, Table of Contents, Preface, Organisation, List of Authors}},
  booktitle =	{5th Student Conference on Operational Research (SCOR 2016)},
  pages =	{0:i--0:xii},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-004-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{50},
  editor =	{Hardy, Bradley and Qazi, Abroon and Ravizza, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2016.0},
  URN =		{urn:nbn:de:0030-drops-65124},
  doi =		{10.4230/OASIcs.SCOR.2016.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Organisation, List of Authors}
}
Document
DOI: 10.4230/OASIcs.SCOR.2014.1
A Novel Framework for Quantification of Supply Chain Risks

Authors: Abroon Qazi, John Quigley, and Alex Dickson

Published in: OASIcs, Volume 37, 4th Student Conference on Operational Research (2014)

Abstract
Supply chain risk management is an active area of research and there is a research gap of exploring established risk quantification techniques in other fields for application in the context of supply chain management. We have developed a novel framework for quantification of supply chain risks that integrates two techniques of Bayesian belief network and Game theory. Bayesian belief network can capture interdependency between risk factors and Game theory can assess risks associated with conflicting incentives of stakeholders within a supply network. We introduce a new node termed ‘Game theoretic risks’ in Bayesian network that gets its qualitative and quantitative structure from the Game theory based analysis of the existing policies and partnerships within a supply network. We have applied our proposed risk modeling framework on the development project of Boeing 787 aircraft. Two different Bayesian networks have been modeled; one representing the Boeing’s perceived supply chain risks and the other depicting real time supply chain risks faced by the company. The qualitative structures of both the models were developed through cognitive maps that were constructed from the facts outlined in a case study. The quantitative parts were populated based on intuition and subsequently updated with the facts. The Bayesian network model incorporating quantification of game theoretic risks provides all the reasons for the delays and financial loss of the project. Furthermore, the proactive strategies identified in various case studies were verified through our model. Such an integrated application of two different quantification techniques in the realm of supply chain risk management bridges the mentioned research gap. Successful application of the framework justifies its potential for further testing in other supply chain risk quantification scenarios.
Cite as

Abroon Qazi, John Quigley, and Alex Dickson. A Novel Framework for Quantification of Supply Chain Risks. In 4th Student Conference on Operational Research. Open Access Series in Informatics (OASIcs), Volume 37, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{qazi_et_al:OASIcs.SCOR.2014.1,
  author =	{Qazi, Abroon and Quigley, John and Dickson, Alex},
  title =	{{A Novel Framework for Quantification of Supply Chain Risks}},
  booktitle =	{4th Student Conference on Operational Research},
  pages =	{1--15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-67-5},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{37},
  editor =	{Crespo Del Granado, Pedro and Joyce-Moniz, Martim and Ravizza, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2014.1},
  URN =		{urn:nbn:de:0030-drops-46653},
  doi =		{10.4230/OASIcs.SCOR.2014.1},
  annote =	{Keywords: bayesian belief network, cognitive maps, conflicting incentives, game theory, supply chain risk management}
}
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