مکان‌یابی پناهگاه‌ها و مراکز امدادی- مخابراتی با درنظرگرفتن عدم قطعیت در زمان بحران (مطالعة موردی: بحران سیل در منطقة 3 تهران)

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد مهندسی صنایع دانشکدة مهندسی صنایع، دانشگاه علم و صنعت ایران، تهران، ایران

2 استادیار دانشکدة مهندسی صنایع، دانشگاه علم و صنعت ایران، تهران، ایران

چکیده

از مهم‌ترین مسائلی که باید همواره در مدیریت بحران به آن توجه شود، اسکان موقت جمعیت آسیب‌دیده، تأمین کالاهای امدادی، طراحی و ایجاد بستر مخابراتی مناسب برای برقراری ارتباطات در زمان بحران است. به این منظور، در این مقاله با ارائة مدلی به مکان‌یابی پناهگاه‌ها برای اسکان موقت جمعیت آسیب‌دیده، انبارهای کالاهای امدادی و نیز دکل‌های مخابراتی پرداخته می‌شود، به‌طوری‌که انبارهای کالاهای امدادی و دکل‌های مخابراتی در یک تسهیل، با عنوان مرکز امدادی- مخابراتی، برای کاهش هزینه‌ها و ارائة خدمات بهتر در‌نظر گرفته ‌شد. همچنین، برای افزایش قابلیت اطمینان در مدیریت ‌بحران از انبارهای پشتیبان استفاده شد و مدل به‌صورت دوهدفه و غیر خطی ارائه ‌شد که ابتدا نرمال‌سازی و سپس خطی شد. همچنین، با توجه به محیط و شرایط ناپایدار در بحران‌های طبیعی، مدل مذکور با نبودن قطعیت و به‌صورت فازی درنظر گرفته ‌شد. درنهایت، مدل توسعه‌داده‌شده برای مطالعة موردی بحران سیل در منطقة سه تهران پیاده‌سازی شد که نتایج نشان می‌دهد درصورت مکان‌یابی بهینة تسهیلات مذکور می‌توان به تصمیم‌گیرندگان امر مدیریت ‌بحران در این منطقه، برای افزایش خدمت‌رسانی در هنگام بحران کمک شایانی کرد.

کلیدواژه‌ها


عنوان مقاله [English]

Locating shelters and telecom-relief centers considering uncertainty in the disaster time (Case study: flood disaster in region #3 of Tehran)

نویسندگان [English]

  • Ahmad Mohammadi 1
  • Saied Yaghoubi 2
  • Jamal Nahofti Kohne 1
  • Mirsaman Pishvaie 2
1 MSc. Student, Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
2 Assistant Prof., Industrial Engineering, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده [English]

 The most important issues that should be considered in studying disaster management include temporary settlement of injured population, supplying relief commodities, designing an appropriate communication infrastructure for communication during disaster. For this purpose, in this paper a model has been proposed for locating shelters, warehouses of relief commodities, and also telecom towers, whereas warehouses of relief‌ commodities and telecom towers have been considered as the telecom-relief center for reducing costs and improving services. The problem has been modeled as a nonlinear and bi-objective model, while for solving the problem normalization method and linearization approach have been applied. With respect to significance of unstable conditions and dynamic environment in natural disasters, the model has been considered under uncertainty and possibilistic programming approach is used to cope with this issue. The proposed model is implemented in the flood disaster case study of Tehran and the obtained results show that the optimal location of the facility can help the decision makers of disaster management in this area to increase service provision during disaster.



 

کلیدواژه‌ها [English]

  • Disaster management
  • fuzzy method
  • region #3 of Tehran
  • shelter
  • telecom-relief centers
Akgün, İ., Gümüşbuğa, F. & Tansel, B. (20142015).Riskbasedfacilitylocationbyusingfaulttreeanalysisindisastermanagement, Omega, in press.
Altinel, I. K., Aras, N., Guney, E. & Ersoy, C. (2006). Effective coverage in sensor networks: binary integer programming formulations and heuristics. IEEEInternationalConferenceonCommunications (Istanbul), 9: 4014-4019.
 
Attafar, A. & Eghbali, M. (2014). Analyzing the Factors Influencing Delay of Projects in Zone 3 of Iranian Gas Transmission Company. JournalofIndustrialManagement, 5(2): 85-102. (InPersian)
 
Daskin, M. S. & Dean, L. K. (2004). Locationofhealthcarefacilities.InOperationsresearchandhealthcare, Springer US. Germany.
 
Deb, K. (2001).  Multi-objectiveoptimizationusingevolutionaryalgorithms, John Wiley & Sons. United States.
 
Fallah shams Layalestani M. F., Raji M. & Khajehpour M. (2013). Performance Evaluation by Using Hybrid Method: BSC, TOPSIS and AHP. JournalofIndustrialManagement, 5(1): 81-100. (InPersian)
 
Firozian M., Asgharizadeh E. & Emami Olarizi S.A. (2011). Identification Challenges in Growth Stage for Small Foundry Firms. JournalofIndustrialManagement, 2(5): 125-140. (InPersian)
 
Ghahroodi Tali, M., et al. (2012). Vulnerability assessment due to the floods in Tehran. ReliefandrescueQuarterly, 4(3): 79-92. (InPersian)
 
Hadavi, F., Zamani, M. & Hosseinzadeh, R. (2013). Optimal locating of temporary housing after the earthquake in urban areas using multiple criteria: A Case Study of region 6 of Tehran. FifthInternationalConferenceonDisasterManagement (Tehran). (InPersian)
 
Hwang, H. S. (2004). A stochastic set-covering location model for both ameliorating and deteriorating items. Computers&industrialengineering, 46(2): 313-319.
 
Ingram, J. (1987). Food and Disaster Relief Issues of Management policy. Disasters, 12(1): 12–18.
 
Jalali, S. (2014). Disconnection of communication networks with five-magnitude earthquake. Worldeconomynewspaper, 3226: 7.(InPersian)
 
Jiménez, M., Arenas, M. & Bilbao, A. (2007). Linear programming with fuzzy parameters: an interactive method resolution. EuropeanJournalofOperationalResearch, 177(3): 1599-1609.
 
Karimi, S. (2006). Urban planning confronting natural disaster. FirstConferenceonNaturalDisaster (UniversityofTehran). (InPersian)
 
Lin, Y. H., et al. (2012). Location of temporary depots to facilitate relief operations after an earthquake. Socio-EconomicPlanningSciences, 46(2): 112-123.
 
Liu, Q., Ruan, X., & Shi, P. (2008) Selection of emergency shelter sites for seismic disasters in mountainous regions: Lessons from the wenchuan Ms 8.0 Earthquake, China. JournalofAsianEarthSciences, 40: 926-934.
 
Pishvaee, M. S. & Torabi S. A. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. FuzzySetsandSystems, 20(161): 2668–2683.
 
Rabiee, A. & Shaghasemi, E. (2006). The role of communication in disaster management. CommunicationandCulturalStudiesQuarterly, 2(7): 61-82.(InPersian)
 
Rath, S. & Gutjahr, W. J. (2011). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers&OperationsResearch, 42(2): 25-39.
 
Saadatseresht, M., Mansourian, A., & Taleai, M. (2009). Evacuation planning using multiobjective evolutionary optimization approach. EuropeanJournalofOperationalResearch, 198: 305-314
 
Saffari, A., Sasanpoor, F. & Musavand, J. (2011). Vulnerability assessment of urban areas against flood risk GIS and fuzzy logic Case Study: Region 3 of Tehran. JournalofAppliedResearchGeographicalSciences, 11(20): 129-150.(InPersian)
 
Shahin A., Vaez Shahrestani H. & Bagheri I. E., (2014). Proposing an integrated approach of Kano Model and Taguchi Design of Experiments based on Kansei Engineering to product design based on customer needs in the automotive industry.JournalofIndustrialManagement, 6(2): 317-336. (InPersian)
 
Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. TransportationResearchPartE:LogisticsandTransportationReview, 43(6): 687-709.
 
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. OperationsResearch, 19(6): 1363-1373.
 
Widener, M. J. & Horner, M. W. (2011). A hierarchical approach to modeling hurricane disaster relief goods distribution. JournalofTransportGeography, 19: 821-828.
 
 
Yi, W. & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transp.Res., 43: 660–672.
 
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