Facility location optimization model for emergency humanitarian logistics

Boonmee, Chawis; Arimura, Mikiharu; Asada, Takumi

doi:10.1016/j.ijdrr.2017.01.017

Cited by 336 publications

(193 citation statements)

References 64 publications

Supporting

Mentioning

163

Contrasting

Unclassified

Order By: Relevance

“…From a general perspective, the epidemic logistics problem belongs to emergency or disaster logistics management that focuses on four consecutive decision-makings associated with risk mitigation, preparation, response activities, and post-disaster recovery [1,14]. Liu et al [5] provided an extensive overview of logistics challenges and models for decision-makings under epidemic outbreak.…”

Section: Epidemic Logistics Modelsmentioning

confidence: 99%

“…Liu et al [5] provided an extensive overview of logistics challenges and models for decision-makings under epidemic outbreak. Boomee et al [1] compared the performance of several network design models in different stages of decision-making. Taking into account six infectious diseases, Adivar and Selen [15] provided an extensive literature review on the applications of epidemic modeling and the policy-making strategy.…”

Section: Epidemic Logistics Modelsmentioning

confidence: 99%

“…[43], which may contain highly hazardous substances and may impose potential risks to medical staffs, patients and the general public [43]. The reverse logistics of medical waste comprises of three main activities: (1) collection and separation at the sources; (2) transportation to respective facilities; and (3) proper treatment and disposal [44]. At the sources, medical waste is usually collected and sorted with color-coded containers based on their characteristics, but the color selected, the waste classification and the requirement of maximum storage time in different regions are by no means identical [45].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…The number and impact of both natural and human-related catastrophes have been increasing since the 1950s [1]. Among various kinds of disasters, epidemic disease outbreaks may pose tremendous treats for human beings [2,3], and it may, if ineffectively controlled, further become a pandemic and lead to a global crisis.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

272

234

View full text Add to dashboard Cite

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

show abstract

Section: Epidemic Logistics Modelsmentioning

confidence: 99%

Section: Epidemic Logistics Modelsmentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

272

234

View full text Add to dashboard Cite

show abstract

“…The plan also covers the acts to build a common agreement in dividing responsibilities to handle the disaster and create decisions in resources mobilization. Boonmee, Arimura, & Asada (2017) explained the purposes of helping at-risk persons to avoid or recover from the effects.…”

mentioning

confidence: 99%

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

Sulistiyani

Yuliani

Yuliana

2017

IJPD

View full text Add to dashboard Cite

Yogyakarta City is passed by three rivers, i.e. Winongo River, Code River, and Gajahwong River. Due to that geological condition, Yogyakarta City is prone to annual flood more often than the other types of disaster. Dealing with the risk, the Yogyakarta City Government introduces Kampung Tangguh Bencana or disaster resilient villages (DRV). DRV is a village which has an ability to identify hazards in its environment and is able to organize the human resources in reducing the susceptibility as well as increasing the capacity to reduce the disaster risks. These abilities are carried out in development planning and capacity enhancement in restoration after the emergency condition. Thus, it is important for DRVs to understand the responsiveness and the ability to become autonomous in flood countermeasurement in Yogyakarta City. In order to find out the responsiveness of DRVs in handling the flood, a research using qualitative approach was performed through a set of interviews with key persons. Information was gained from related stakeholders, such as the local government officers, community, and local agency for disaster management (Badan Penanggulangan Bencana Daerah or BPBD) as the organizer of the program. Triangulation method was performed to find out the synchronization between stakeholders. The villages observed in this research were Karanganyar, Warungboto, and Wirobrajan which were located on the river bank. The result of this research covered the description in handling flood through DRVs, the form and identity of DRVs, the contract-expand model action in the management phases of disaster, as well as the advantages and weaknesses of DRVs. The data gained was analyzed in depth by comparing the responsiveness and the ability to become autonomous in the three villages. The recommended formulation was given to the DRVs, the local government, and the local community to carry out the DRVs effectively and sustainably.

show abstract

Agile optimization for a real‐time facility location problem in Internet of Vehicles networks

et al. 2021

View full text Add to dashboard Cite

The uncapacitated facility location problem (UFLP) is a popular NP‐hard optimization problem that has been traditionally applied to logistics and supply networks, where decisions are difficult to reverse. However, over the years, many new application domains have emerged, in which real‐time optimization is needed, such as Internet of Vehicles (IoV), virtual network functions placement, and network controller placement. IoV scenarios take into account the presence of multiple roadside units (RSUs) that should be frequently assigned to operating vehicles. To ensure the desired quality of service level, the allocation process needs to be carried out frequently and efficiently, as vehicles' demands change. In this dynamic environment, the mapping of vehicles to RSUs needs to be reoptimized periodically over time. Thus, this article proposes an agile optimization algorithm, which is tested using existing benchmark instances. The experiments show that it can efficiently generate high‐quality and real‐time results in dynamic IoV scenarios.

show abstract

Facility location optimization model for emergency humanitarian logistics

Cited by 336 publications

References 64 publications

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

Agile optimization for a real‐time facility location problem in Internet of Vehicles networks

Contact Info

Product

Resources

About