An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations

Tavana, Madjid; Abtahi, Amir-Reza; Caprio, Debora Di; Hashemi, Reza; Zenouz, Reza Yousefi

doi:10.1016/j.seps.2017.12.004

Cited by 111 publications

(72 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Designing a three-echelon supply chain consisting of suppliers, a number of distribution centers and retailers in the form of the integrated LIR problem for the perishable product is carried out by Rafie-Majd, Pasandideh, and Naderi (2018) . A LIR problem in multi-echelon humanitarian supply chain design in response to the disaster has been studied by Tavana, Abtahi, Di Caprio, Hashemi, and Yousefi-Zenouz (2018) . The considered supply chain aims to decide for location of central warehouses, managing the inventory of perishable products in the pre-disaster phase, and routing the relief vehicles in the post-disaster phase.…”

Section: Literature Reviewmentioning

confidence: 99%

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

Yavari

Enjavi

Geraeli

2020

Research in Transportation Business & Management

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

Yavari

Enjavi

Geraeli

2020

Research in Transportation Business & Management

View full text Add to dashboard Cite

“…Earthquake case studies were also carried out on 64 Turkish neighborhoods. Tavana et al [29] designed a multiple humanitarian logistics network for the location of the central storages, the pre-disaster management of the perishable commodities, and post-disaster routing. They employed the εconstraint method and the NSGA-II to solve the model.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraints (25) to (28) show the routing limits for ambulances, which are similar to Constraints (5) to (8), respectively. Furthermore, the capacity limit for ambulances is shown in Constraint (29). Constraint (30) indicates that the injured people in each demand points should be transferred to which hospital.…”

Section: Mathematical Modelmentioning

confidence: 99%

Solving a new bi-objective model for relief logistics in a humanitarian supply chain by bi-objective meta-heuristic algorithms

2020

View full text Add to dashboard Cite

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 hybrid centers, which are hospitalwarehouse centers in the pre-disaster phase. In the post-disaster phase, the routing of relief commodities is considered in the forward route. In the backward route some vehicles that can transfer injured people after delivering commodities; hybrid transportation facilities; will take injured to hospitals and hybrid centers. According to the degree of hardness, a hybrid nondominated sorting genetic algorithm (NSGA-II) with simulated annealing (SA) and variable neighborhood search (VNS) algorithms is proposed to solve the given problems. The results of this hybrid algorithm are compared with NSGA-II and multi-objective SA-VNS using five metrics (i.e., a number of Pareto, mean ideal distance, spacing, diversity and time) to emphasize that the proposed hybrid algorithm outperforms the two foregoing algorithms.

show abstract

“…The literature is rich in using the application locationrouting models for different supply chain concepts [16][17][18][19][20][21][22]. To close to nature of real-world application, uncertainty modeling is an active keyword for logistics network from recently-published papers [23][24][25][26][27][28][29][30][31][32].…”

Section: Literature Reviewmentioning

confidence: 99%

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Beiki

Seyedhosseini

Ghezavati

et al. 2020

IJE

View full text Add to dashboard Cite

Throughout history, nature has exposed humans to destructive phenomena such as earthquakes, floods, droughts, tornadoes, volcanic eruptions, and tropical and marine storms. The large scale of damages and casualties caused by natural disasters around the world has led to extensive applied research in the field of preparation and development of a comprehensive system for disaster management to minimize the resulting casualties and financial damages. Based on this motivation and challenges to the field, this research designs an integrated relief chain to optimize simultaneously the preparedness and response phases of disaster management. Decisions to improve the supply chain include locating distribution centers of relief supplies; the amount of inventory stored in facilities in pre-disaster phase, locating temporary care centers and transportation points of the injured, how to allocate relief services to the affected areas, and routing of the vehicles used to distribute relief supplies and evacuate the injured. The results show that decreasing the capacity of distribution centers increases the amount of shortage of supplies and increasing the capacity of these centers reduces the amount of shortage of supplies.

show abstract

An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations

Cited by 111 publications

References 36 publications

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

Solving a new bi-objective model for relief logistics in a humanitarian supply chain by bi-objective meta-heuristic algorithms

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Contact Info

Product

Resources

About