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Integrated business continuity and disaster recovery planning: Towards organizational resilienceAuthor-Name: Sahebjamnia, N

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  • Torabi, S.A.
  • Mansouri, S.A.
Abstract
Businesses are increasingly subject to disruptions. It is almost impossible to predict their nature, time and extent. Therefore, organizations need a proactive approach equipped with a decision support framework to protect themselves against the outcomes of disruptive events. In this paper, a novel framework is proposed for integrated business continuity and disaster recovery planning for efficient and effective resuming and recovering of critical operations after being disrupted. The proposed model addresses decision problems at all strategic, tactical and operational levels. At the strategic level, the context of the organization is first explored and the main features of the organizational resilience are recognized. Then, a new multi-objective mixed integer linear programming model is formulated to allocate internal and external resources to both resuming and recovery plans simultaneously. The model aims to control the loss of resilience by maximizing recovery point and minimizing recovery time objectives. Finally, at the operational level, hypothetical disruptive events are examined to evaluate the applicability of the plans. We also develop a novel interactive augmented ε-constraint method to find the final preferred compromise solution. The proposed model and solution method are finally validated through a real case study.

Suggested Citation

  • Torabi, S.A. & Mansouri, S.A., 2015. "Integrated business continuity and disaster recovery planning: Towards organizational resilienceAuthor-Name: Sahebjamnia, N," European Journal of Operational Research, Elsevier, vol. 242(1), pages 261-273.
  • Handle: RePEc:eee:ejores:v:242:y:2015:i:1:p:261-273
    DOI: 10.1016/j.ejor.2014.09.055
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    References listed on IDEAS

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    1. Sun, Minghe, 2005. "Some issues in measuring and reporting solution quality of interactive multiple objective programming procedures," European Journal of Operational Research, Elsevier, vol. 162(2), pages 468-483, April.
    2. Xidonas, Panagiotis & Mavrotas, George & Zopounidis, Constantin & Psarras, John, 2011. "IPSSIS: An integrated multicriteria decision support system for equity portfolio construction and selection," European Journal of Operational Research, Elsevier, vol. 210(2), pages 398-409, April.
    3. (Noel) Bryson, Kweku-Muata & Millar, Harvey & Joseph, Anito & Mobolurin, Ayodele, 2002. "Using formal MS/OR modeling to support disaster recovery planning," European Journal of Operational Research, Elsevier, vol. 141(3), pages 679-688, September.
    4. Edrissi, Ali & Poorzahedy, Hossain & Nassiri, Habibollah & Nourinejad, Mehdi, 2013. "A multi-agent optimization formulation of earthquake disaster prevention and management," European Journal of Operational Research, Elsevier, vol. 229(1), pages 261-275.
    5. Preece, Gary & Shaw, Duncan & Hayashi, Haruo, 2013. "Using the Viable System Model (VSM) to structure information processing complexity in disaster response," European Journal of Operational Research, Elsevier, vol. 224(1), pages 209-218.
    6. Ken Ambs & Sebastian Cwilich & Mei Deng & David J. Houck & David F. Lynch & Dicky Yan, 2000. "Optimizing Restoration Capacity in the AT&T Network," Interfaces, INFORMS, vol. 30(1), pages 26-44, February.
    7. Zhang, Weihua & Reimann, Marc, 2014. "A simple augmented ∊-constraint method for multi-objective mathematical integer programming problems," European Journal of Operational Research, Elsevier, vol. 234(1), pages 15-24.
    8. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    9. Eiselt, H.A. & Marianov, Vladimir, 2012. "Mobile phone tower location for survival after natural disasters," European Journal of Operational Research, Elsevier, vol. 216(3), pages 563-572.
    10. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    11. Brahim Herbane, 2010. "The evolution of business continuity management: A historical review of practices and drivers," Business History, Taylor & Francis Journals, vol. 52(6), pages 978-1002.
    12. Rastegar, Narges & Khorram, Esmaile, 2014. "A combined scalarizing method for multiobjective programming problems," European Journal of Operational Research, Elsevier, vol. 236(1), pages 229-237.
    13. Riolli, Laura & Savicki, Victor, 2003. "Information system organizational resilience," Omega, Elsevier, vol. 31(3), pages 227-233, June.
    14. Losada, Chaya & Scaparra, M. Paola & O’Hanley, Jesse R., 2012. "Optimizing system resilience: A facility protection model with recovery time," European Journal of Operational Research, Elsevier, vol. 217(3), pages 519-530.
    15. Das, Rubel & Hanaoka, Shinya, 2014. "Relief inventory modelling with stochastic lead-time and demand," European Journal of Operational Research, Elsevier, vol. 235(3), pages 616-623.
    16. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
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