A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process

Rodriguez, Sebastian A.; Fuente, Rodrigo A. De la; Aguayo, Maichel M.

doi:10.1016/j.cie.2021.107242

Cited by 9 publications

(4 citation statements)

References 44 publications

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“…Spatiotemporal variables (e.g., traffic, response time, distances) are crucial for FDPA analysis [9], and while many reviewed papers include them, none of these six studies incorporated spatiotemporal variables into their FDPA or RAFD analyses. When important variables like spatiotemporal data are unavailable, some of the reviewed papers used simulation and GIS [28,40,44,50] to generate or collect the necessary information. However, none of the six papers utilized GIS or simulation to include spatiotemporal variables in their analyses.…”

Section: The Literature Reviewmentioning

confidence: 99%

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

K. Eslamzadeh,

Grilo,

Espadinha-Cruz

2024

Fire

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Optimizing Resource Allocation in Fire Departments (RAFD) is crucial for enhancing Fire Protection Services (FPS) and ultimately saving lives. Efficient RAFD ensures that fire departments have the necessary resources to respond effectively to emergencies. This paper presents a method for optimizing RAFD based on performance assessment results, examining its impact on Fire Department (FD) efficiency in Portugal. Evaluating data from 353 FDs, two RAFD optimization methods were assessed: one adhering to Portuguese regulations and constraints, such as budget allocation limitations, and another without such constraints. Integrating a slack-based data envelopment analysis model and mixed-integer linear programming, the study found that incorporating FD efficiency scores in RAFD improved overall efficiency at national, district, and FD levels. While adherence to Portuguese regulations led to balanced resource allocation and a 4% performance improvement at the national level, relaxing constraints yielded an 8% improvement, albeit with potential performance deterioration in some FDs. The detailed budget and efficiency metric analysis provided in this paper offers actionable insights for fire protection services enhancement. This underscores the importance of diverse optimization strategies to enhance FD efficiency, with implications for decision-makers at the Portuguese National Authority for Emergency and Civil Protection and similar organizations globally.

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Section: The Literature Reviewmentioning

confidence: 99%

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

K. Eslamzadeh,

Grilo,

Espadinha-Cruz

2024

Fire

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“…Shariat-Mohaymany et al proposed two reliability-based linear models for the optimal location of ambulances [20]. Similarly, a framework was proposed to help in decision-making strategies for locating and assigning the emergency vehicle (firefighter vehicle) for improving response time [21]. However, most optimization models do not effectively handle the dynamic situations, stochastic environment, randomness, and uncertainty related to locations, travel time, traffic situations, and service time [8].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Equation ( 19) minimizes the relocation transporting cost and fixed cost of the ambulances. The number of ambulances that are relocated is limited using constraints ( 20) and (21). M is considered as a very large value in Equation (22).…”

Section: Objective Function For Minimizing Relocation Costmentioning

confidence: 99%

An optimized deployment plan of ambulances for trauma patients

2022

IJATEE

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Emergency medical service (EMS) control centres should focus on strategically deploying ambulances to enable trauma patients to receive better care. The work proposed here aims to find an optimal deployment plan of ambulances for the existing base stations using the genetic algorithm (GA) based optimization component. The GA has been modified by incorporating a new proportion-based population seeding method for initializing the population. Considering a set of assumptions, the authors have applied the new strategy for allocating an optimal count of ambulances to 28 base stations in Delhi. The working environment of EMS that includes stochastic requests, travel time, and dynamic traffic conditions has been taken into account, and the optimization strategy has been implemented in a MATLAB environment. With the proposed work, the authors have been able to reduce the average response time (ART) by 6.7%. The simulation result has also demonstrated a comparison between GA and particle swarm optimization (PSO). In addition, some numerical experiments are performed to conclude the impact of different attributes on the value of ART.

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“…A significant concern of FPS decision-makers for RAFD is urban expansion and resource constraints [5,6]; therefore, allocating the limited resources among fire departments (FDs) to provide FPS to more people in less time is a goal that is highly dependent on selecting an appropriate RAFD method and variables [7,8]. Although many studies have proposed different methods and applied a wide variety of variables to satisfy that goal, not all were adequate for RAFD [9][10][11][12]. Consequently, an exhaustive review of the RAFD studies is required to extract the RAFD methods and relevant variables from the literature and identify the most frequent ones.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Resource Allocation in Fire Departments: A Structured Literature Review

Eslamzadeh

Grilo

Espadinha-Cruz

2022

Fire

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A significant amount of research has been conducted on the resource allocation in fire departments (RAFD) and literature reviews about the fire protection service (FPS), but to the best of our knowledge, no literature reviews have been conducted about the RAFD. Therefore, the purpose of this research is to review literature about allocating resources to urban fire departments (FDs) to gain state-of-the-art knowledge of RAFD and identify the most frequent methodologies and measures in the studies. A five-stage structured literature review (SLR) is undertaken to analyze the RAFD-related studies; subsequently, statistical analysis is used to disclose additional information from the retrieved data and develop a general framework for RAFD. According to the structured literature review, which yielded 417 independent variables for RAFD, integer programming (IP) and data envelopment analysis (DEA) are the most common approaches for RAFD among the mathematical and statistical models in the evaluated articles. Based on the findings, a general conceptual framework for RAFD is suggested. The findings of this study can help public and private FDs and FPS managers, decision-makers, resource allocation (RA) researchers, and academicians gain state-of-the-art knowledge of RAFD. The proposed RAFD framework can provide the FPS decision-makers with the appropriate method and variables for allocating their limited resources in a more efficient way within their FDs.

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A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process

Cited by 9 publications

References 44 publications

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

An optimized deployment plan of ambulances for trauma patients

A Framework for Resource Allocation in Fire Departments: A Structured Literature Review

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