Improving emergency service in rural areas: a bi-objective covering location model for EMS systems

Chanta, Sunarin; Mayorga, Marı́a E.; McLay, Laura A.

doi:10.1007/s10479-011-0972-6

Cited by 100 publications

(76 citation statements)

References 32 publications

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“…However, weighted sum method, in which the weighted sum of objectives is optimized, is not suitable for our problem because this approach does not find all pareto-efficient points when the solution space is not convex (Chanta et al 2014;Das and Dennis 1997). Therefore, we selected the ε-constraint to solve the bi-objective optimization problem and to calculate the set of eco-efficient solutions.…”

Section: Computational Results: Multi-objective Approachmentioning

confidence: 99%

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

et al. 2016

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Due to tremendous losses of resources in modern food supply chains, higher priority should be given to reducing food waste and environmental impacts of food production. In practice, multiple production options are available, but must be quantitatively assessed with respect to economic and environmental performances before they are adopted in food supply chains. The objective of this paper is to develop a mathematical model that can be used for such a quantitative assessment of alternative production options that are associated with different ways to deal with waste in food supply chains, i.e. prevention, recycling, and disposal of food waste. We develop a multi-objective mixed integer linear programming model to derive the set of eco-efficient solutions corresponding to production planning decisions. Environmental performance of the chain is expressed with an indicator based on exergy analysis, which has the potential to capture other commonly used indicators, such as energy consumption, fuel consumption, and waste generation, and express them in a single value. This simplifies the calculation of the eco-efficient frontier, and enables its intuitive graphical representation, which is much easier to communicate to the involved decision makers. The applicability of the developed model is demonstrated on a real-life industrial bread supply chain in the Netherlands. Results confirm the findings from literature that prevention is the best waste management strategy from environmental perspective. The advantages of using exergy as an indicator to capture the environmental performance is demonstrated by comparing the outcomes to other commonly used indicators of environmental performance. We illustrate the potential of studying food production planning decision problems in a multi-objective context, and demonstrate the applicability of the model in the assessment of alternative production options.

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Section: Computational Results: Multi-objective Approachmentioning

confidence: 99%

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

et al. 2016

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“…Como alternativas se han propuesto diversas formas de medir la accesibilidad geográfica a servicios de salud, mediante medidas de densidad que se basan en la relación oferta/demanda de servicios, reconociendo restricciones en el espacio [56,57]. Esta forma de medir la accesibilidad geográfica es más coherente con la forma en la cual se planea la distribución de recursos y, por ende, podría ser más informativa para los tomadores de decisiones [22,58]. No obstante, son pocas las publicaciones que describen la accesibilidad geográfica medida como densidad y no se encuentran reportados estudios que analicen su efecto sobre el riesgo de muerte en los primeros años de vida.…”

Section: Discussionunclassified

Distancia al centro de atención en salud y mortalidad durante los primeros años de vida: revisión sistemática y metaanálisis

Rojas‐Gualdrón

Velasquez

2017

Rev. Fac. Nac. Salud Pública

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Resumen Objetivo: actualizar las revisiones sistemáticas sobre el efecto de la distancia a los centros de atención en salud, en la mortalidad de menores de 5 años, con artículos publicados hasta mayo de 2015. Metodología: revisión sistemática con metaanálisis según recomendaciones de PRISMA. Se estimó un modelo de efectos aleatorios y se realizaron análisis de sesgo y de heterogeneidad de las estimaciones. Resultados: residir a más de 5 km del centro de atención de salud se asocia con un mayor riesgo de muerte en los periodos perinatal OR 2,76 (IC95% 1,80 -4,23), neonatal OR 1,62 (IC95% 1,33-1,96), infantil OR 1,31 (IC95% 1,16-1,48), durante la niñez OR 1,57 (IC95% 1,29-1,92) y en todos los grupos de edad OR 1,63 (IC95% 1,41-1,88). Conclusión: se resalta la importancia de considerar una distribución geográfica de los centros de atención en salud, que permita a los menores residentes en áreas remotas menores riesgos de muerte, particularmente durante el primer mes de vida.----------Palabras clave: accesibilidad a los servicios de salud, disparidades en atención de salud, área sin atención médica, mortalidad infantil, metaanálisis. AbstractObjective: to update the systematic reviews of the literature discussing the effect of the distance from healthcare facilities on the mortality of children under five years of age using academic papers up to May, 2015. Methodology: a systematic review of the literature and a meta-analysis conducted in accordance with the PRISMA guidelines. A random effect model was estimated and bias and heterogeneity analyses were conducted on the estimates. Results: residing farther than 5 km away from the closest healthcare facility is associated with a greater risk of death during the following periods: perinatal OR 2.76

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“…Especially in essential public service facility location models, geographic equity of access to the service facilities is considered as one of the main requirements for an applicable solution. The access level can be measured in different terms such as the distance between demand points (customers) and the facilities (as in Batta et al, 2014;Maliszewski et al, 2012;Smith et al, 2013;Bell et al, 2011;Ohsawa et al, 2008;Chanta et al, 2011;Jia et al, 2007;Melachrinoudis & Xanthopulos, 2003;Ohsawa & Tamura, 2003;Mladenovic et al, 2003;López-de-los Mozos et al, 2013;Lejeune & Prasad, 2013) or the time required to access the facility from the demand points as in Mestre et al (2012) and Smith et al (2009). Ogryczak (2009) considers the generic location problem from a multicriteria perspective and formulates a model where each individual access level is minimized (see Table 2).…”

Section: Location Problemsmentioning

confidence: 99%

Inequity averse optimization in operational research

Karsu

Morton

2015

European Journal of Operational Research

136

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a b s t r a c tThere are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment problems have been considered from an equity perspective. This shows that equity is both a technically interesting concept and a substantial practical concern. In this paper we review the operational research literature on inequity averse optimization. We focus on the cases where there is a tradeoff between efficiency and equity.We discuss two equity related concerns, namely equitability and balance. Equitability concerns are distinguished from balance concerns depending on whether an underlying anonymity assumption holds. From a modeling point of view, we classify three main approaches to handle equitability concerns: the first approach is based on a Rawlsian principle. The second approach uses an explicit inequality index in the mathematical model. The third approach uses equitable aggregation functions that can represent the DM's preferences, which take into account both efficiency and equity concerns. We also discuss the two main approaches to handle balance: the first approach is based on imbalance indicators, which measure deviation from a reference balanced solution. The second approach is based on scaling the distributions such that balance concerns turn into equitability concerns in the resulting distributions and then one of the approaches to handle equitability concerns can be applied.We briefly describe these approaches and provide a discussion of their advantages and disadvantages. We discuss future research directions focussing on decision support and robustness.

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Improving emergency service in rural areas: a bi-objective covering location model for EMS systems

Cited by 100 publications

References 32 publications

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization

Distancia al centro de atención en salud y mortalidad durante los primeros años de vida: revisión sistemática y metaanálisis

Inequity averse optimization in operational research

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