Disruptions in tightly coupled supply chain networks: the case of the US offshore oil industry

References

• Al-Othman , WBE . 2008 . Supply chain optimization of petroleum organization under uncertainty in market demands and prices . European Journal of Operational Research , 189 ( 3 ) : 822 – 840 .
   Web of Science ®Google Scholar
• Association of Oil Pipe Lines (AOPL) . 2009 . Pipelines and water carriers lead the modes of oil transportation in 2007 – motor carriers and railroads continue smaller but important role , Washington , DC : AOPL .
   Google Scholar
• Banks , E . 2005 . Catastrophic risk: analysis and management , Chichester , UK : Wiley & Sons .
   Google Scholar
• Bea , RG , Iversen , R and Xu , T . 2001 . Wave-in-deck forces on offshore platforms . Journal of Offshore Mechanics and Arctic Engineering , 123 ( 1 ) : 10 – 21 .
   Web of Science ®Google Scholar
• Bode , C . 2011 . Understanding responses to supply chain disruptions: insights from information processing and resource dependence perspectives . Academy of Management Journal , 54 ( 4 ) : 833 – 856 .
   Web of Science ®Google Scholar
• Calantone , RJ and Vickery , SK . 2010 . Introduction to the special topic forum: using archival and secondary data sources in supply chain management research . Journal of Supply Chain Management , 46 ( 4 ) : 3 – 11 .
   Web of Science ®Google Scholar
• Carneiro , MC , Ribas , GP and Hamacher , S . 2010 . Risk management in the oil supply chain: a CVaR approach . Industrial & Engineering Chemistry Research , 49 ( 7 ) : 3286 – 3294 .
   Web of Science ®Google Scholar
• Chevron Corporation . 2008 . Delivering energy now developing energy for the future: 2008 annual report , San Ramon , CA : Chevron Corporation .
   Google Scholar
• Chouinard , LE and Liu , C . 1997 . Model for recurrence rate of hurricanes in Gulf of Mexico . Journal of Waterway, Port, Coastal, and Ocean Engineering , 123 ( 3 ) : 113 – 119 .
   Web of Science ®Google Scholar
• Chouinard , LE , Liu , C and Cooper , CK . 1997 . Model for severity of hurricanes in Gulf of Mexico . Journal of Waterway, Port, Coastal, and Ocean Engineering , 123 ( 3 ) : 120 – 129 .
   Web of Science ®Google Scholar
• Chu , P-S . 2004 . “ ENSO and tropical cyclone activity ” . In Hurricanes and typhoons: past, present, and future , Edited by: Murnane , RJ and Liu , K-B . 297 – 332 . New York : Columbia University Press .
   Google Scholar
• Cigolini , R and Rossi , T . 2010 . Managing operational risks along the oil supply chain . Production Planning & Control , 21 ( 5 ) : 452 – 467 .
   Web of Science ®Google Scholar
• Colicchia , C , Dallari , F and Melacini , M . 2010 . Increasing supply chain resilience in a global sourcing context . Production Planning & Control , 21 ( 7 ) : 680 – 694 .
   Web of Science ®Google Scholar
• Cruz , AM and Krausmann , E . 2008 . Damage to offshore oil and gas facilities following hurricanes Katrina and Rita: an overview . Journal of Loss Prevention in the Process Industries , 21 ( 6 ) : 620 – 626 .
   Web of Science ®Google Scholar
• Dempster , MAH . 2000 . Planning logistics operations in the oil industry . Journal of the Operational Research Society , 51 ( 11 ) : 1271 – 1288 .
   Web of Science ®Google Scholar
• Det Norske Veritas (DNV) . 2007 . Pipeline damage assessment from hurricanes Katrina and Rita in the Gulf of Mexico , Høvik : NorwayDNV . Report No. 448 14183
   Google Scholar
• Dey , PK . 2004 . “ Oil pipelines ” . In Encyclopedia of energy , Edited by: Cleveland , CJ . 673 – 690 . San Diego , CA : Elsevier .
   Google Scholar
• Doukas , H , Flamos , A and Psarras , J . 2011 . Risks on the security of oil and gas supply . Energy Sources, Part B: Economics, Planning, and Policy , 6 ( 4 ) : 417 – 425 .
   Web of Science ®Google Scholar
• Elsner , JB and Kara , AB . 1999 . Hurricanes of the North Atlantic: climate and society , New York : Oxford University Press .
   Google Scholar
• Energo Engineering . 2010 . Assessment of damage and failure mechanisms for offshore structures and pipelines in hurricanes Gustav and Ike , Houston , TX : Energo Engineering . Energo Engineering Project No. E09180
   Google Scholar
• Ernst & Young . 2009 . The Ernst & Young business risk report 2009 – the top 10 risks for global business , London , UK : Ernst & Young .
   Google Scholar
• Fernandes , LJ , Barbosa-Póvoa , AP and Relvas , S . 2011 . Supply chain risk management review and a new framework for petroleum supply chains . Quantitative Financial Risk Management. Computational Risk Management , 1 ( 3 ) : 227 – 264 .
   Google Scholar
• Fouché , DP and Rolstadås , A . 2010 . The use of performance measurement as a basis for project control of offshore modification oil and gas projects . Production Planning & Control , 21 ( 8 ) : 760 – 773 .
   Web of Science ®Google Scholar
• Hurricane Research Division, 2011. Frequently asked questions [online]. Miami, FL: NOAA/Atlantic Oceanographic and Meteorological Laboratory. Available from: http://www.aoml.noaa.gov/hrd/tcfaq/tcfaqHED.html [Accessed 1 June 2011]
   Google Scholar
• Jenkins , GP and Wright , DS . 1998 . Managing inflexible supply chains . International Journal of Logistics Management , 9 ( 2 ) : 83 – 90 .
   Google Scholar
• Kaiser , MJ , Dismukes , DE and Yu , Y . 2009a . The value of lost production from the 2004–2005 hurricane seasons in the Gulf of Mexico . Journal of Business Valuation and Economic Loss Analysis , 4 ( 2 ) : 1 – 32 .
   Google Scholar
• Kaiser , MJ . 2009b . Catastrophic event modeling in the Gulf of Mexico – I. Insurance markets and risk techniques . Energy Sources, Part B: Economics, Planning, and Policy , 5 ( 1 ) : 74 – 80 .
   Web of Science ®Google Scholar
• Kaiser , MJ and Yu , Y . 2010 . The impact of hurricanes Gustav and Ike on offshore oil and gas production in the Gulf of Mexico . Applied Energy , 87 ( 1 ) : 284 – 297 .
   Web of Science ®Google Scholar
• Lewis , MS . 2009 . Temporary wholesale gasoline price spikes have long-lasting retail effects: the aftermath of hurricane Rita . Journal of Law and Economics , 52 ( 3 ) : 581 – 605 .
   Web of Science ®Google Scholar
• Lu , L and Wang , G . 2008 . A study on multi-agent supply chain framework based on network economy . Computers & Industrial Engineering , 54 ( 2 ) : 288 – 300 .
   Web of Science ®Google Scholar
• Miller , HE and Engemann , KJ . 2008 . A Monte Carlo simulation model of supply chain risk due to natural disasters . International Journal of Technology, Policy and Management , 8 ( 4 ) : 460 – 480 .
   Google Scholar
• Minerals Management Service (MMS), 2009. News and press releases [online]. Washington, DC: Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE). Available from: http://www.gomr.mms.gov/homepg/whatsnew/newsreal/newsreal.html [Accessed 9 December 2009]
   Google Scholar
• Oehmen , J . 2009 . System-oriented supply chain risk management . Production Planning & Control , 20 ( 4 ) : 343 – 361 .
   Web of Science ®Google Scholar
• Ordonez , I . 2008 . Tales of the tape: Ike battle seen as oil producers’ victory , Houston , TX : Dow Jones Newswires .
   Google Scholar
• Perrow , C . 1999 . Normal accidents: living with high risk technologies , Princeton , NJ : Princeton University Press .
   Google Scholar
• Perrow , C . 2006 . “ Disasters ever more? Reducing US vulnerabilities ” . In Handbook of disaster research , Edited by: Rodríguez , H , Quarantelli , EL and Dynes , RR . 521 – 533 . New York : Springer .
   Google Scholar
• Rabinovich , E and Cheon , S . 2011 . Expanding horizons and deepening understanding via the use of secondary data sources . Journal of Business Logistics , 32 ( 4 ) : 303 – 316 .
   Web of Science ®Google Scholar
• Rice , JB and Caniato Jr , F . 2003 . Building a secure and resilient supply network . Supply Chain Management Review , 7 ( 5 ) : 22 – 30 .
   Google Scholar
• Saunders , MA and Lea , AS . 2008 . Large contribution of sea surface warming to recent increase in Atlantic hurricane activity . Nature , 451 ( 7178 ) : 557 – 560 .
   PubMed Web of Science ®Google Scholar
• Skilton , PF and Robinson , JL . 2009 . Traceability and normal accident theory: how does supply network complexity influence the traceability of adverse events? . Journal of Supply Chain Management , 45 ( 3 ) : 40 – 53 .
   Web of Science ®Google Scholar
• SubseaIQ, 2010. Offshore field development project updates [online]. Houston, TX: Bishop Interactive. Available from: http://subseaiq.com/data/UpdateHistory.aspx [Accessed 25 November 2010]
   Google Scholar
• Administration , US Energy Information . (EIA), 2010. Crude oil production [online]. Washington, DC: EIA. Available from: http://www.eia.gov/dnav/pet/pet_crd_crpdn_adc_mbblpd_a.htm [Accessed 25 November 2010]
   Google Scholar
• Van Dam , KH . 2009 . Critical evaluation of paradigms for modelling integrated supply chains . Computers and Chemical Engineering , 33 ( 10 ) : 1711 – 1726 .
   Web of Science ®Google Scholar
• Vespignani , A . 2010 . Complex networks: the fragility of interdependency . Nature , 464 ( 7291 ) : 984 – 985 .
   PubMed Web of Science ®Google Scholar
• Wakolbinger , T and Cruz , JM . 2011 . Supply chain disruption risk management through strategic information acquisition and sharing and risk-sharing contracts . International Journal of Production Research , 49 ( 13 ) : 4063 – 4084 .
   Web of Science ®Google Scholar
• Weick , KE . 2004 . Normal accident theory as frame, link, and provocation . Organization & Environment , 17 ( 1 ) : 27 – 31 .
   Web of Science ®Google Scholar
• Willis Limited . 2010 . Florida Gulf Coast oil and gas risk assessment , London , UK : Willis Limited .
   Google Scholar
• Zsidisin , GA and Wagner , SM . 2010 . Do perceptions become reality? The moderating role of supply risk resiliency on disruption occurrence . Journal of Business Logistics , 31 ( 2 ) : 1 – 20 .
   Web of Science ®Google Scholar