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Miri-Nargesi, Seyed Sina, Nazari-Shirkouhi, Salman, Hadji Molana, Seyyed Mohammad, Tavakkoli-Moghaddam, Reza. (1405). A two-stage robust–probabilistic method for an adaptive relief logistics network with perishable products under uncertainty. فیزیولوژی و بیوتکنولوژی آبزیان, (), -. doi: 10.22124/jmm.2026.33354.3049
Seyed Sina Miri-Nargesi; Salman Nazari-Shirkouhi; Seyyed Mohammad Hadji Molana; Reza Tavakkoli-Moghaddam. "A two-stage robust–probabilistic method for an adaptive relief logistics network with perishable products under uncertainty". فیزیولوژی و بیوتکنولوژی آبزیان, , , 1405, -. doi: 10.22124/jmm.2026.33354.3049
Miri-Nargesi, Seyed Sina, Nazari-Shirkouhi, Salman, Hadji Molana, Seyyed Mohammad, Tavakkoli-Moghaddam, Reza. (1405). 'A two-stage robust–probabilistic method for an adaptive relief logistics network with perishable products under uncertainty', فیزیولوژی و بیوتکنولوژی آبزیان, (), pp. -. doi: 10.22124/jmm.2026.33354.3049
Miri-Nargesi, Seyed Sina, Nazari-Shirkouhi, Salman, Hadji Molana, Seyyed Mohammad, Tavakkoli-Moghaddam, Reza. A two-stage robust–probabilistic method for an adaptive relief logistics network with perishable products under uncertainty. فیزیولوژی و بیوتکنولوژی آبزیان, 1405; (): -. doi: 10.22124/jmm.2026.33354.3049

A two-stage robust–probabilistic method for an adaptive relief logistics network with perishable products under uncertainty

Journal of Mathematical Modeling
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 22 شهریور 1405    اصل مقاله (2.12 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22124/jmm.2026.33354.3049
نویسندگان
Seyed Sina Miri-Nargesi1؛ Salman Nazari-Shirkouhi* 2؛ Seyyed Mohammad Hadji Molana1؛ Reza Tavakkoli-Moghaddam3
1Department of Industrial Engineering, SR.C., Islamic Azad University, Tehran, Iran
2Department of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Tehran, Iran
3School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran, Research Center of Performance and Productivity Analysis, Istinye University, Istanbul, Turkey
چکیده
Natural disasters challenge relief logistics due to demand uncertainty, limited supply, and the perishability of relief items. This study develops a bi-objective crisis logistics network model that integrates shelf-life constraints, public aid flows, and demand--supply uncertainty within a two-stage robust-probabilistic framework. The model jointly determines permanent and temporary aid-base locations, perishable item allocation, inventory decisions, and public aid distribution. An enhanced \(\varepsilon\)-constraint method is used to generate Pareto-efficient solutions. A real case study of Tehran shows that the first efficient solution selects three permanent and seven temporary aid bases, with a total cost of USD 953,811.99 and maximum unmet demand of 1,536.24 kg. Moving toward service-oriented solutions reduces unmet demand by about 47.7\%. Robustness analysis shows that increasing the uncertainty-control level from 0.5 to 0.9 raises total cost by 5.10\% and unmet demand by 38.98\%. Scalability and benchmark analyses further confirm the applicability and balanced performance of the proposed framework for urban disaster-response planning.
کلیدواژه‌ها
Crisis logistics network؛ disaster management؛ two-stage robust-probabilistic model؛ perishable items
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تعداد مشاهده مقاله: 14
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