The Accessibility Vehicle Routing Problem

Ibarra-Rojas, Omar J.; Hernández, Lylia Palacios; Ozuna, Lucero

doi:10.1016/j.jclepro.2017.10.249

Cited by 17 publications

(9 citation statements)

References 21 publications

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“…Moreover, we used the solver, CPLEX 12.9 set with a stop criteria of 1% of relative gap 1 to obtain solutions for the MILP ( 1 )–( 21 ). The eight parameters of the objective function were fixed as proposed by [ 9 ], that is β 1 = 0.5, β 2 = 0.25, β 3 = 0.125, β 4 = 0.0625, β 5 = 0.03125, and β 6 = 0.015625. Finally, a preliminary experimental step was performed to calibrate the parameters of our BRKGA.…”

Section: Resultsmentioning

confidence: 99%

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Accessible location of mobile labs for COVID-19 testing

Villicaña-Cervantes

Ibarra-Rojas

2022

Health Care Manag Sci

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In this study, we address the problem of finding the best locations for mobile labs offering COVID-19 testing. We assume that people within known demand centroids have a degree of mobility, i.e., they can travel a reasonable distance, and mobile labs have a limited-and-variable service area. Thus, we define a location problem concerned with optimizing a measure representing the accessibility of service to its potential clients. In particular, we use the concepts of classical, gradual, and cooperative coverage to define a weighted sum of multiple accessibility indicators. We formulate our optimization problem via a mixed-integer linear program which is intractable by commercial solvers for large instances. In response, we designed a Biased Random-Key Genetic Algorithm to solve the defined problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. Moreover, we present insights derived from a case study into the locations of COVID-19 testing mobile laboratories in Nuevo Leon, Mexico. Our experimental results show that our optimization approach can be used as a diagnostic tool to determine the number of mobile labs needed to satisfy a set of demand centroids, assuming that users have reduced mobility due to the restrictions because of the pandemic.

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Section: Resultsmentioning

confidence: 99%

“…Based on the above, we use an accessibility measure similar to the one proposed by [ 9 ], which is defined as a weighted sum of the following accessibility indicators in Table 1 , where we point out the relevance of each indicator.…”

Section: Problem Statementmentioning

confidence: 99%

Accessible location of mobile labs for COVID-19 testing

Villicaña-Cervantes

Ibarra-Rojas

2022

Health Care Manag Sci

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“…In the most cases, the large-scale location problem is seen as a single objective optimization problem (Domínguez-Martín et al, 2018; Ibarra-Rojas et al, 2018), with various types of constraints, solved with the application of different metaheuristic methods. In this paper, the authors have attempted to define a problem as a multi-objective optimization problem, so the considered problem is more appropriately described.…”

Section: Resultsmentioning

confidence: 99%

Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm

Tadić

Đorđević²,

Aleksić

et al. 2018

Waste Manag Res

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In the sense of contemporary industrial challenges, it may be said that many issues in the field of recycling may be analysed. In this paper, the model for choosing locations for construction of recycling centres equipped with new technology is proposed. The considered problem may be stated as a two-objective optimization problem, if the optimization criteria are presented as total distance and the overall suitability index sum. The relative importance and values of possible locations’ attributes are described by pre-defined linguistic expressions, and modelled by interval triangular type-2 fuzzy numbers. Type-2 fuzzy numbers provide a possibility to incorporate the uncertainty of membership functions into the fuzzy set theory. The procedure for determination of the overall suitability index is proposed. Selection of the most appropriate locations is achieved by a two-objective genetic algorithm, since it is very suitable for the routing issues. The proposed model application is illustrated with the real-life data that come from a few regions in Serbia.

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“…The existing literature often discusses route optimization [22,23] and optimizing transport trips and networks [16,18,20], but there is a gap in the literature in the field of fuel optimization of road freight transportation. There is also a gap in the literature regarding how road freight transportation will become not only cost-effective and profitable, but at the same time sustainable and environmentally friendly.…”

Section: Methodsmentioning

confidence: 99%

Innovative Mathematical Methods and New Software Applications for Cost-Effective, Profitable and Environmentally Friendly Freight Transport

Kovács

2019

Pol. J. Environ. Stud.

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Due to the optimization and efficiency improvement of freight transportation, fuel consumption and environmental damage are reduced. Furthermore, if companies are more profitable, they can afford to invest in environmentally friendly technologies. Consequently, transportation will become more economic, sustainable and environmentally friendly. Three innovative methods and three new software applications have been developed to provide profitable and sustainable transportation: 1) Structure of key performance indicators and software for continuous evaluation of transport activity. If we can measure the performance, we can improve it in the future. 2) Calculation method and software for precise determination of the total prime cost of a given transportation order. It is significant, because knowing the prime cost, the carrier can calculate the expected profit. Since the transport fee includes the profit, profitable operation can be ensured. 3) Optimization method and software to optimize the fuel cost. At first by determining the optimal, most cost-effective petrol station (depending on the unit fuel price and distance of the potential petrol stations). Then the optimal amount of fuel has to be calculated, i.e. the exact amount needed, plus a safe margin to cover unexpected events. Recently the above-mentioned activities have been unsupported by software, therefore this research is original.

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The Accessibility Vehicle Routing Problem

Cited by 17 publications

References 21 publications

Accessible location of mobile labs for COVID-19 testing

Accessible location of mobile labs for COVID-19 testing

Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm

Innovative Mathematical Methods and New Software Applications for Cost-Effective, Profitable and Environmentally Friendly Freight Transport

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