Solution approaches for facility location of medical supplies for large-scale emergencies

Jia, Hongzhong; Ordóñez, Fernando; Dessouky, Maged

doi:10.1016/j.cie.2006.12.007

Cited by 260 publications

(114 citation statements)

References 24 publications

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“…2. The encoding scheme is similar to the integer vector encoding scheme which has recently been used in solving various spatial optimization problems (Jia et al 2007b;Tong et al 2009). Specifically, the decision space is the same as the set of entire meshes, i.e., the locations of candidate facilities are selected from the entire meshes in the region.…”

Section: Model Formulationsmentioning

confidence: 99%

“…Therefore, applying these encoding schemes directly in solving large-scale spatial optimization problems (e.g., large-scale ERFLs problem) is intractable due to massive spatial data involved and huge solution space (Tong et al 2009). In this context, some scholars have tried to design some kinds of ''natural'' representation and encoding schemes that are suitable for their problems being addressed, such as graph theory-based representation strategy (Xiao et al 2002(Xiao et al , 2007Xiao 2008) or integer vector encoding scheme (Jia et al 2007b;Tong et al 2009). These ''natural'' schemes conveniently encode solutions of spatial optimization problems in an EA and have been successfully demonstrated as efficient encoding schemes in solving various large-scale geographical optimization problems (Jia et al 2007b;Xiao et al 2007;Tong et al 2009).…”

Section: Model Formulationsmentioning

confidence: 99%

“…Objective (2) minimizes the sum of total weighted distances between any demand unit and its closest facility (i.e., p-median model) (Daskin 1995). It represents the global rescue efficiency of these emergency rescue facilities is maximum, as a facility that is close to a demand unit provides a better quality of emergency rescue service than the facilities located far from that demand unit (Jia et al 2007b). Objective (3) minimizes the maximum distance L max or response time from any demand point to its closest facility (i.e., p-center model), representing the equity of locating these emergency rescue facilities within the region is maximized (Daskin 1995).…”

Section: Model Formulationsmentioning

confidence: 99%

“…(Chrissis 1980;Revelle and Snyder 1995;Liu et al 2006;Alçada-Almeida et al 2009;Indriasari et al 2010;Maliszewski and Horner 2010), as well as the ones for large-scale disasters emergency services (e.g., earthquakes, floods, hurricanes, etc.) (Jia et al 2007a(Jia et al , 2007bHorner and Downs 2010;Bell et al 2011;Caunhye et al 2012;Maliszewski et al 2012). However, models proposed for environmental accidents emergency services are sparse, which are actually much more frequent hazardous events than nature disasters in urban system.…”

mentioning

confidence: 99%

“…In order to overcome these limitations of exact methods, some scholars have resorted to a number of heuristic approaches to solve geographical optimization problems effectively and efficiently (Xiao 2008;Tong and Murray 2012). Among various modern heuristic approaches, evolutionary algorithms (e.g., GA) have shown great promise for generating solutions to large-scale ERFLs problem (Jia et al 2007b;Indriasari et al 2010;Mohammadi et al 2010). When GA is applied to solve multi-objective optimization problems, however, the scalar fitness information should be provided to combine multiple objectives into a single objective by using aggregating approaches (e.g., weighted sum approach, goal programming, etc.)…”

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confidence: 99%

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Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Zhao

Chen

2014

Nat Hazards

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Emergency rescue facility is an indispensable component of urban system and important for public safety. Due to the special characteristics and complexity of urban environmental accidents, locations of emergency rescue facilities should be optimized, and the decision criteria should be comprehensive, taking into account not only the spatial relations of these facilities but also the potential hazard of environmental accidents. This study proposes an innovative methodological framework to optimize the locations of emergency rescue facilities in the contexts of large-scale urban environmental accidents. Risk-based approach is involved to delineate the potential hazard of environmental accidents to the adjacent urban areas, and a three-objective decision optimization model is constructed. Moreover, an appropriate spatial representation and encoding strategy is designed and coupled with the non-dominated sorting genetic algorithm-II for model solving. A case study is presented to demonstrate the methodology, and it provides evidence that the involvement of risk mapping into the model construction has significant effect on the optimization result. The findings show that the strategy proposed in this study has the potential to be a useful decision support tool for urban planning with respect to public safety.

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Section: Model Formulationsmentioning

confidence: 99%

Section: Model Formulationsmentioning

confidence: 99%

Section: Model Formulationsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Zhao

Chen

2014

Nat Hazards

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Prioritizing emergency shelter areas using hybrid multi-criteria decision approach: A case study

Trivedi

Singh

2017

J. Multi-Crit. Decis. Anal.

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Every year, more than 400 natural disasters affect global population. Adopting a resilient approach strengthens communities to survive and recover well from destabilizing events. Disasters destroy or damage houses and infrastructure, which calls for arrangement of temporary establishments to provide immediate evacuation and shelter to affected population. These sites are vital for an effective relief and must be strategically planned. Communities living in disaster-prone areas should prepare themselves well in advance for any future catastrophic event. This study adopts a hybrid group decision support approach for emergency shelter site selection problem. Initially, relevant factors for locating potential sites are identified by reviewing extant literature and through consultation from a panel of disaster management experts. Next, fuzzy analytic hierarchy process theory and technique for order preference by similarity to ideal solution have been used to prioritize identified criteria and to evaluate potential locations for displacement sites. A case study of the recent Nepal earthquake has been used to illustrate the effectiveness of the proposed model. The model offers a resilience building approach to prepare communities for any future contingency by proposing and prioritizing a set of planned displacement sites. KEYWORDSAHP, emergency shelters, fuzzy sets, group decision support, humanitarian logistics, TOPSIS | INTRODUCTIONA disaster can be defined as "a sudden, calamitous event that seriously disrupts the functioning of a community or society and causes human, material, and economic or environmental losses that exceed the community's or society's ability to cope using its own resources" (IFRC, 2015). There has been a significant increase in the number of disasters over the past decade: from fewer than 50 disasters per year reported in 1950 to more than 400 disasters in 2010 (EM-DAT, 2015). In view of this environmental uncertainty, the need to foster resilience amongst communities has been an area of attention amongst researchers, practitioners, and policy makers. The resilience approach has found applications in various fields and disciplines, resulting in multiple definitions of the concept (Norris, Tracy, & Galea, 2009).According to disaster risk management literature, resilience refers to the capacity of a society to "bounce back," resist, cope, and recover quickly from the impacts of hazards (Bruneau et al., 2003;Klein, Nicholls, & Thomalla, 2003;Timmerman, 1981). It is determined by the capacity of a social system to improve risk-reduction measures and learn from past disasters (United Nations International Strategy for Disaster Reduction, 2007). Another crucial aspect of resilience that has not been emphasized much in contemporary disaster resilience conceptualization is focus on preparedness (Aldunce, Beilin, Handmer, & Howden, 2014). Social systems should have sufficient capacity to prepare in order to mitigate and minimize losses, suffering, and social disruption (Bruneau et al., 2003; Inte...

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Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

Trivedi

Singh

2019

Multi Criteria Decision Anal

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This paper explores the location and relocation decision problem of temporary shelters under uncertain damage situations in humanitarian relief contexts. The article proposes a multicriteria decision support framework based on fuzzy sets, analytic hierarchy process, technique for order preference by similarity to ideal solution, and weighted goal programming to address the issue of temporary shelter planning. The paper formulates a multiobjective location–relocation model that considers multiple objectives of risk, number of sites, unmet demand, qualitative suitability of locations, unmet demand, and nature of land ownership while generating solutions under different scenarios of earthquake damage. The robustness and performance of the proposed model are illustrated using a real case study of 2015 Nepal earthquake. The framework can benefit governments and humanitarian agencies in high‐seismic areas for adequate shelter planning under damage uncertainties.

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Solution approaches for facility location of medical supplies for large-scale emergencies

Cited by 260 publications

References 24 publications

Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety

Prioritizing emergency shelter areas using hybrid multi-criteria decision approach: A case study

Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

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