2020
DOI: 10.24200/sci.2020.53823.3438
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Solving a new bi-objective model for relief logistics in a humanitarian supply chain by bi-objective meta-heuristic algorithms

Abstract: One of the most important factors in a humanitarian supply chain during a disaster is to respond quickly and efficiently. Delivering emergency commodities to the affected areas is critical in reducing consequences. Moreover, transferring the injured people through the fastest and the shortest time by using all available resources is vitally important. To this aim, a multi-echelon, multi-objective forward and backward relief network is proposed that considers the location of hospitals, local warehouses and hybr… Show more

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Cited by 10 publications
(5 citation statements)
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References 44 publications
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“…Te confrmed cases are reduced by 34.54%, implementing the proposed model based on the IoT in three continuous weeks. Saatchi et al [12] presented a relief supply chain network in two phases (predisaster and postdisaster). Tey designed a relief supply chain in two directions (forward and backward directions).…”
Section: Survey On Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Te confrmed cases are reduced by 34.54%, implementing the proposed model based on the IoT in three continuous weeks. Saatchi et al [12] presented a relief supply chain network in two phases (predisaster and postdisaster). Tey designed a relief supply chain in two directions (forward and backward directions).…”
Section: Survey On Related Workmentioning
confidence: 99%
“…Equation ( 11) is considered an objective function of lowlevel and indicates the maximization of the weighted percentage of met demand value in the entire period. Equation (12) demonstrates the balance in each distribution center (public and private) for each period. Equation ( 13) determines the unmet demand in each period.…”
Section: Mathematical Modelmentioning
confidence: 99%
“… Despite the uncertain and unpredictable nature of disasters, many articles have not considered various uncertainties as key challenges in emergency logistics planning; Cantillo et al [40], Cotes and Cantillo [41] and Madani et al [44] proposed a purely deterministic model and did not use an uncertain approach. In critical situations, accurate information about the parameters is not available, for example during large-scale disasters, we don't know the amount of demand, costs, etc.…”
Section: Sustainable Humanitarian Logisticsmentioning
confidence: 99%
“…In 2021 Shavarani et al [45] had already solved the problem using NSGA-II. Madani [46] proposes a network with multiple links that considers the location of hospitals, warehouses and hybrid centers, using the NSGA-II with Simulated Annealing and with Variable Neighborhood Search. In Khorsi et al [47], a location and routing problem is presented to deliver goods to victims considering uncertainty in demand; it is used with a multi-objective grouping algorithm to find Pareto-optimal solutions.…”
Section: Type Of Problemmentioning
confidence: 99%