Sudden-onset disaster resilience considering functionality improvement planning: An upstream oil and gas company |
| |
| Institution: | 1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Driehaus College of Business, DePaul University, Chicago, USA;1. Institute of Modern Logistics, Henan University, Kaifeng 475004, China;3. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;4. School of Civil Engineering, Wuhan University, Wuhan 430072, China;5. School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China;6. China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China;7. Department of Technology and Innovation, Center for Sustainable Supply Chain Engineering, Danish Institute for Advanced Study, University of Southern Denmark, Campusvej 55, Odense M, Denmark;10. Department of Civil & Environmental Engineering, University of Maryland, College Park, MD 20742-3021, USA;11. Institute for Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland;12. Chaoyang University of Technology, Taichung, Taiwan |
| |
| Abstract: | The present paper presents a quantitative approach to evaluate organizational resilience in sudden-onset disasters considering preparedness actions (PAs). The resilience triangle concept is extended and gradual improvement of the level of functionality (LF) strategy is examined as PAs. Robustness and rapidity measures are considered as loss of LF and recovery time to indicate the overall disaster resilience. Besides, the resourcefulness and redundancy measures are considered pre-determined response plans and PAs aimed to improve disaster resilience. Two mathematical models are developed by applying these measures. Thereafter, graphical analytics are conducted to demonstrate the effectiveness of PAs and provide a better outlook for decision-makers. Then, mathematical analyses are conducted to show how the PAs affect resilience measures. It is mathematically proved that PAs exert considerable impacts on recovery time, loss of LF, and robustness. To illustrate the application of the proposed approach, it is applied to an upstream oil and gas company in the field of exploration and production. The results suggest that the approach is significantly effective in disaster response, planning, and mitigation. |
| |
| Keywords: | Disaster operations management Disaster resilience Sudden-onset disaster Functionality improvement Preparedness actions Pre-determined response plans |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
