Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem

Herazo-Padilla, Nilson; Montoya‐Torres, Jairo R.; Muñoz-Villamizar, Andrés; Isaza, Santiago Nieto; Polo, Luis Ramirez

doi:10.1109/wsc.2013.6721699

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…Infrastructure studies were mainly undertaken at the strategic level. They included the stochastic location-routing problem [59], network design [18,40,61], intermodal hub-and-spoke networks [127], hub locations in urban multimodal networks [2,65,105,118,121,124], terminal locations [77,78], and the effect of land bridges [123].…”

Section: Time Horizons and Decision Objectsmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of intermodal freight transportation systems: a taxonomy

Crainic

Perboli

Rosano

2018

European Journal of Operational Research

150

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Section: Time Horizons and Decision Objectsmentioning

confidence: 99%

“…The sequential simulation-optimization approach was considered in 22% of the papers [2,5,21,33,49,56,59,65,68,77,83,97,109,121,124,128,129,63]. Ambrosino and Sciomachen [2] illustrates this class of approaches.…”

Section: Simulation-optimization Relationshipmentioning

confidence: 99%

Simulation of intermodal freight transportation systems: a taxonomy

Crainic

Perboli

Rosano

2018

European Journal of Operational Research

150

View full text Add to dashboard Cite

“…This subcriteria has become in a common weakness of these emergency departments. Sectorial organizations in health care could develop projects to strengthen the emergency department network with the aim of offering highly satisfactory services for both patients and health care providers during disasters (Herazo‐Padilla, Montoya‐Torres, Muñoz‐Villamizar, Isaza, & Polo, ).…”

Section: Model Verification and Phasesmentioning

confidence: 99%

The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

Ortíz‐Barrios

Aleman‐Romero

Rebolledo‐Rudas³

et al. 2017

Multi Criteria Decision Anal

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In recent years, a series of important emergencies have been taken place worldwide in industrial plants. \ud After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals able to handle emergencies. Thus, nowadays, the emergency services require a “transversal” process that starts from the disaster moment occurred until the involvement of all actors that participate in the process to provide integral, safe and quality attention. The aim of this study is to evaluate the overall performance of emergency departments in the hospital sector. A hybrid model called the “Analytic Decision Making Preference Model - ADT Model” based on AHP, DEMATEL and TOPSIS methods is proposed. AHP was been used to determine the criteria and sub-criteria weights. Then, DEMATEL is used to evaluate interdependence between criteria and sub-criteria. After this, TOPSIS is applied to rank the emergency departments from highest to lowest according to their closeness coefficient. A real case study in Colombia is presented

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“…There are few studies on the stochastic context (Herazo-Padilla et al, 2013). Readers interested on reviews regarding published literature on LRP may consult the works of Balakrishnan et al (1987), Laporte (1988 and1989), Berman et al (1995), Min et al (1998), Nagy and Salhi (2007), and HerazoPadilla et al (2013).…”

Section: Problem Description and Related Literaturementioning

confidence: 99%

Mathematical Programming Modeling and Resolution of the Location-Routing Problem in Urban Logistics

Muñoz-Villamizar

Montoya‐Torres

Herazo-Padilla

2014

IyU

Self Cite

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La creación de centros urbanos de distribución cerca del centro de las ciudades para consolidar las cargas es una iniciativa implementada alrededor del mundo que busca mejorar la congestión del tráfico vehicular en las calles y la calidad de vida sus habitantes. Este artículo considera el problema de localización de centros urbanos de distribución y propone un modelo exacto de programación lineal entera para la toma de decisiones a nivel estratégico, táctico y operativo. Se busca resolver, de manera integral, los problemas de localización, dimensionamiento y operación (ruteo de camiones) en estas terminales logísticas. El modelo es validado usando datos de la vida real provenientes de la ciudad de Saint-Étienne, Francia. Así mismo, se realizan comparaciones experimentales con procedimientos existentes en la literatura. Los resultados muestran la eficiencia y efectividad del modelo propuesto y su aplicabilidad en la realidad para instancias hasta de tamaño mediano.

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Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem

Cited by 10 publications

References 13 publications

Simulation of intermodal freight transportation systems: a taxonomy

Simulation of intermodal freight transportation systems: a taxonomy

The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

Mathematical Programming Modeling and Resolution of the Location-Routing Problem in Urban Logistics

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