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Item type:Publication, Designing valid humanitarian logistics scenario sets: Application to recurrent Peruvian floods and earthquakes(IGI Global, 2020-09-18)Literature about humanitarian logistics (HL) has developed a lot of innovative decision support systems during the last decades to support decisions such as location, routing, supply, or inventory management. Most of those contributions are based on quantitative models but, generally, are not used by practitioners who are not confident with. This can be explained by the fact that scenarios and datasets used to design and validate those HL models are often too simple compared to the real situations. In this chapter, a scenario-based approach based on a five-step methodology has been developed to bridge this gap by designing a set of valid scenarios able to assess disaster needs in regions subject to recurrent disasters. The contribution, usable by both scholars and practitioners, demonstrates that defining such valid scenario sets is possible for recurrent disasters. Finally, the proposal is validated on a concrete application case based on Peruvian recurrent flood and earthquake disasters. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The maturity of humanitarian logistics against recurrent crises(MDPI, 2020-06-01)This paper provides a framework to analyze the maturity of humanitarian logistics systems to face crisis situations related to recurrent events, and thus to identify the main areas of action and the community needs in terms of crisis logistics planning. First, the main notions of humanitarian logistics systems planning, and the theoretical contribution of maturity models are presented. Second, a maturity model for humanitarian logistics systems is proposed and the main categories of elements defining maturity extracted from literature. Then, the methodology to define the main elements of the maturity model via evidence is presented. This methodology combines a literature overview, a documentary analysis, and the development of three case studies, two located in Colombia and one in Peru. The main elements that characterize capability maturity model in humanitarian logistics systems facing recurrent crises are identified, from which the administration of donations, design of a distribution network, and the choice of suppliers are highlighted. The practical implications of the framework are proposed to allow its use to anticipate humanitarian logistics system for future crises. The framework allowed a first analysis guide and will be further extended. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing valid humanitarian logistics scenario sets: application to recurrent Peruvian floods and earthquakes(IGI Global, 2021-05-28)Literature about humanitarian logistics (HL) has developed a lot of innovative decision support systems during the last decades to support decisions such as location, routing, supply, or inventory management. Most of those contributions are based on quantitative models but, generally, are not used by practitioners who are not confident with. This can be explained by the fact that scenarios and datasets used to design and validate those HL models are often too simple compared to the real situations. In this chapter, a scenario-based approach based on a five-step methodology has been developed to bridge this gap by designing a set of valid scenarios able to assess disaster needs in regions subject to recurrent disasters. The contribution, usable by both scholars and practitioners, demonstrates that defining such valid scenario sets is possible for recurrent disasters. Finally, the proposal is validated on a concrete application case based on Peruvian recurrent flood and earthquake disasters. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimal humanitarian warehouses location considering vulnerability previous condition(Associacao Brasileira de Engenharia de Producao, 2022-03-07)Goal: This study tackles on location problem, analyzing the urban shape base on vulnerability previous conditions in affected areas. Design / Methodology / Approach: A numerical analysis is performed using an integer programming model to find optimal preposition warehouses location. Results: The minimum cost is reached when the needs of all the people affected by the natural disaster are met. Excess construction of warehouses implies additional maintenance and administration expenses, while lack of construction of warehouses implies expenses originated by unsatisfied demand. Limitations of the investigation: Among the main limitations found in this study were the lack of updated data and few studies related to natural disaster prevention in the case study. Practical implications: Organizations should implement the recommendations given by the new model. This is because the model minimizes the cost, since the damage caused by a natural disaster is much more expensive than preventing it. Originality / Value: The novelty in this study is the creation of a punishment factor based on the level of vulnerability of the routes used in transportation. This is to simulate the impact the deterioration of routes has on the response time of sending aid supplies.