Integrating Pre- and Post-Disaster Operations Considering the Restoration of Disrupted Routes and Warehouses

Document Type: Research Paper

Authors

Department of Industrial Engineering, Tehran University, Tehran, Iran

Abstract

The increasing trend in happening natural disasters mandates developing appropriate contingency plans to deal with them. In this paper, a goal programming based model is developed for an integrated pre- and post-disaster operations management, while considering the restoration of disrupted routed and warehouses. The model accounts for epistemic uncertainty in input data through a hybrid two-stage scenario-based possibilistic-stochastic programming model. In addition, to validate the proposed model and its practicality, an illustrative example is presented, and its numerical results are assessed.

Keywords

Main Subjects


1. Zokaee, S., Bozorgi-Amiri, A., and Sadjadi, S. J. (2016). “A Robust Optimization Model for Humanitarian Relief Chain Design Under Uncertainty”, Appl. Math. Model, Vol. 40, No. 17–18, PP. 7996–8016.

2. Tofighi, S., Torabi, S. A., and Mansouri, S. A. (2016). “Humanitarian Logistics Network Design Under Mixed Uncertainty”, Eur. J. Oper. Res., Vol. 250, No. 1, PP. 239–250.

 3. Balcik, B., and Beamon, B. M. (2008). “Facility Location in Humanitarian Relief”, Int. J. of Log. R. Res. and App, Vol. 11, No. 2, PP. 101–121.

4. Çelik, M. (2017). “Network Restoration and Recovery in Humanitarian Operations: Framework, Literature Review, and Research Directions”, Surv. Oper. Res. Manag. Sci, Vol. 21, No. 2, PP. 47-61.

5. Grass, E., and Fischer, K. (2016). “Two-Stage Stochastic Programming in Disaster Management: A Literature Survey”, Surv. Oper. Res. Manag. Sci., Vol. 21, No. 2, PP. 85-100.

6. Balcik, B., Deniz, C., and Kundakcioglu, O. E. (2016).“A Literature Review on Inventory Management in Humanitarian Supply Chains”, Surv. Oper. Res. Manag. Sci., Vol. 21, No. 2, PP. 101-116.

7. Bozorgi Amiri, A., Jabalameli, M. S., and Mirzapour Al-E-Hashem, S. M. J. (2013). “A Multi-Objective Robust Stochastic Programming Model for Disaster Relief Logistics Under Uncertainty”, OR Spectr., Vol. 35, No. 4, PP. 905–933.

8. Döyen A., Aras, N., and Barbaroso, G. (2012). “A Two-Echelon Stochastic Facility Location Model for Humanitarian Relief Logistics”, Optimization Letters, Vol. 6, No. 6, PP. 1123–1145.

9. Ransikarbum, K. R., and Mason, S. J. (2014).“Multiple-Objective Analysis of Integrated Relief Supply and Network Restoration in Humanitarian Logistics Operations”, Int. J. Prod. Res., Vol. 54, No. 1, PP. 49–68.

10. Ransikarbum, K., and Mason, S. J. (2016). “Goal Programming-Based Post-Disaster Decision Making For Integrated Relief Distribution And Early-Stage Network Restoration”, Int. J. Prod. Econ., Vol. 182, Pp. 324–341.

11. Rodríguez-Espíndola, O., Albores, P And Brewster, C. (2017). “Disaster Preparedness In Humanitarian Logistics: Acollaborative Approach For Resource Management In Floods”, Eur. J. Oper. Res., Vol. 0, Pp. 1–16.

12. Yang, Y., Yang, Y. B., and Chen, Z. X. (2017). “Seismic Damage Assessment of RC Structures Under Shaking Table Tests Using the Modified Direct Stiffness Calculation Method”, Eng. Struct., Vol. 131, PP. 574–586.

13. Journal, E., Jim, M., and Her, E. (2007). “Linear Programming with Fuzzy Parameters: An Interactive Method Resolution Linear Programming with Fuzzy Parameters: An Interactive Method Resolution”, Eur. J. Oper. Res., Vol. 177, PP. 1599–1609.

 14. Torabi,  S. A., and Hassini, E. (2015). “An Interactive Possibilistic Programming Approach for Multiple Objective Supply Chain Master Planning an Interactive Possibilistic Programming Approach for Multiple Objective Supply Chain Master Planning”, Fuzzy Sets and Systems, Vol. 159, PP. 193–214.