Rodríguez Aguilar, Román
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Preferred name
Rodríguez Aguilar, Román
Official Name
Rodríguez Aguilar, Román
Alternative Name
Rodríguez-Aguilar, Román
Rodríguez-Aguilar, R.
Aguilar, R.R.
Rodriguez-Aguiler, R.
Rodríguez, R.
Roman, R.A.
Main Affiliation
ORCID
Scopus Author ID
56717663000
Researcher ID
AAO-6158-2020

Research Output
Now showing 1 - 10 of 44
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A Timetabling Application for the Assignment of School Classrooms

2019 , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román

In this manuscript a group of students from an university of Mexico develop a user-friendly university timetabling tool based on a spreadsheet and using Open-Solve optimization software. The developed tool uses 0–1 integer programming to maximize the number of classes with their respective teacher allocated to a classroom in a certain time schedule. It does not solve only one specific case, the user can introduce each semester’s specific information to the spreadsheet and the tool will automatically generate a schedule that maximizes the number of classes assigned using the given time and classroom resources. Each semester the available times and the teacher can be changed for each class according to the needs for that specific semester. The user does not need to be someone who understands linear programming. The tool is developed on a user-friendly way so that the staff of the school can use it without help from the developers. In this paper we will show how this tool was developed for a smaller example and how it works with a real case. © 2020, Springer Nature Switzerland AG.

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Financial risk of increasing the follow-up period of breast cancer treatment currently covered by the Social Protection System in Health in México

2018 , Rodríguez Aguilar, Román , Marmolejo Saucedo, José Antonio , Tavera-Martínez, Sonia

Background: The objective of this work is to estimate the financial impact of increasing the monitoring period for breast cancer, which is financed by the Sistema de Protección Social en Salud (SPSS—Social Protection System in Health). Methods: A micro-simulation model was developed to monitor a cohort of patients with breast cancer, and also an estimation was made on the probability of surviving the monitoring period financed by the SPSS. Using the Monte Carlo simulation, the maximum expected cost was estimated to broaden such monitoring. Morbimortality information of the Ministry of Health and cases of breast cancer treated by the SPSS were used.

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Estimation of the Stochastic Volatility of Oil Prices of the Mexican Basket: An Application of Boosting Monte Carlo Markov Chain Estimation

2021 , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román

The volatility of the returns on financial assets is not a constant number over time as many valuation models, mainly derivatives, developed during the 80's, assume. The complexity of non-heteroscedasticity and the difference in results when estimated with different methodologies such as historical, implicit or stochastic calculation, make this subject too extensive a field to be covered in this work. However, stochastic volatility has been widely accepted in recent years. Monte Carlo Markov Chain (MCMC) method is explained and used to estimate the distribution of oil prices of Mexican basket as a stochastic variable. MCMC in the univariate case, supposes that we can estimate the distribution of a latent (hidden) variable through the behavior of another variable observed posteriori with the help of Bayesian inference; this method allows an efficient inference independent of the underlying process through an algorithm. The results show a correct adjustment of stochastic volatility to the behavior of the oil prices. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Backbone Distribution Network Design for the Mexican Automotive Industry

2020 , Retana-Blanco, Brenda , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román , Pedraza-Arroyo, Erika

The logistics network of an automotive company in Mexico was analyzed to propose a better logistics network in the country to improve delivery times to customers. The analysis was conducted with Greenfield Analysis and Network Optimization. Taking into account the information given by the company, it was possible to obtain optimal scenarios for better operation, which involved the construction of distribution centers in the Hidalgo state in Mexico. © Springer Nature Switzerland AG 2020.

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Quantum-behaved bat algorithm for solving the economic load dispatch problem considering a valve-point effect

2020 , Vasant, Pandian , Parvez Mahdi, Fahad , Marmolejo Saucedo, José Antonio , Litvinchev, Igor , Rodríguez Aguilar, Román , Watada, Junzo

Quantum computing-inspired metaheuristic algorithms have emerged as a powerful computational tool to solve nonlinear optimization problems. In this paper, a quantum-behaved bat algorithm (QBA) is implemented to solve a nonlinear economic load dispatch (ELD) problem. The objective of ELD is to find an optimal combination of power generating units in order to minimize total fuel cost of the system, while satisfying all other constraints. To make the system more applicable to the real-world problem, a valve-point effect is considered here with the ELD problem. QBA is applied in 3-unit, 10-unit, and 40-unit power generation systems for different load demands. The obtained result is then presented and compared with some well-known methods from the literature such as different versions of evolutionary programming (EP) and particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE), simulated annealing (SA) and hybrid ABC_PSO. The comparison of results shows that QBA performs better than the above-mentioned methods in terms of solution quality, convergence characteristics and computational efficiency. Thus, QBA proves to be an effective and a robust technique to solve such nonlinear optimization problem.

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Estimation of Electricity Prices in the Mexican Market

2019 , Rodríguez Aguilar, Román , Marmolejo Saucedo, José Antonio , Vasant, Pandian

This paper presents an alpha stable regression model to estimate prices in the Mexican Electric Market. This market began operations in February 2016. The observed prices show great fluctuations in the observed data due to diverse aspects, a seasonality of the demand, the availability of fuel and the problems of congestion in the electrical network. It is relevant in a market context to have a price estimation as accurate as possible for the decision making of supply and demand. This paper proposes a methodology of the price estimation through the application of stable alpha regressions, since the behavior of the electric market has shown the presence of heavy tails in its price distribution. © Springer Nature

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Technical evaluation of the opening of facilities in the pharmaceutical industry: optimization to supply chain in Mexico

2019 , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román , Manuell-Barrera, Ofelia S. G.

The pharmaceutical industry is going through a difficult time in Mexico. Despite all the advances and improvements in the methods of production, storage and distribution, many pharmaceutical companies still struggle to meet market demand effectively and consistently. The risks faced by the supply chain of the pharmaceutical industry are diverse and typical of an industry dedicated to health care. So, the location to locate new facilities includes several strategic and tactical decisions that must consider aspects of production, distribution, material flow, optimal inventory, the perishability of products, safety, among other factors. The application of robust hybrid models will allow obtaining the best solutions, taking into account the network optimization, greenfield analysis and risk scenarios. This paper presents a case study for a pharmaceutical company that operates in Mexico and plans to expand its operations seeking the optimal operation of the supply chain. The inherent risks to a supply chain of pharmaceutical products, different scenarios and parameters were considered, which will allow making decisions based on technical evidence in order to improve the performance of the company. Modelling the expansion of operations and the performance of the supply chain was carried out using the specialized software Anylogistix. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

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Key Factors in the Successful Integration of the Circular Economy Approach in the Industry of Non-durable Goods: A Literature Review

2022 , Jacinto-Cruz, Marcos , Rodríguez Aguilar, Román , Marmolejo Saucedo, José Antonio

Nowadays consumers are more informed about the characteristics of the products they are buying and the services they are using as well as their respective environmental impacts. The nondurable goods industry is the closest to consumers in everyday life, therefore awareness of the environmental impacts of these products has gained greater attention from consumers. In response to increased consumer demand for environmental attributes, the nondurable goods industry has begun to apply circular economy guidelines in its supply chain, in addition to complying with new environmental regulations in various countries. This research addresses a literature review to identify the key factors that allow the correct implementation of the circular economy approach in the non-durable goods industry. Among the main factors identified are the voice of the customer, the traceability and collection of empty containers, as well as and efficient international environmental regulation. © Springer Nature

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Technical efficiency of thermal power units through a stochastic frontier

2015 , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román , Cedillo-Campos, Miguel Gastón , Salazar-Martínez, María Soledad

This work presents a model to obtain a stochastic frontier production function of a Mexican power generation company. The stochastic frontier allows us to evaluate the technical efficiency of an energy producer according of the level of inputs. Electricity generation based on thermal generation is highly expensive due to operational inefficiency of thermal power plants. At the moment, in Mexico, technical efficiency of thermal power units has not been studied for the national electricity system. Therefore, in order to know the productivity levels of thermal generation, an empirical application of the stochastic frontier model is obtained using a panel data of thermoelectric units from the Mexican electricity system for the 2009-2013. © The author; licensee Universidad Nacional de Colombia

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Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle

2019 , Vasant, Pandian , Marmolejo Saucedo, José Antonio , Litvinchev, Igor , Rodríguez Aguilar, Román

Currently, there is a remarkable focus on green technologies for taking steps towards more use of renewable energy sources within the sector of transportation and also decreasing pollution. At this point, employment of plug-in hybrid electric vehicles (PHEVs) needs sufficient charging allocation strategy, by running smart charging infrastructures and smart grid systems. In order to daily usage of PHEVs, daytime charging stations are required and at this point, only an appropriate charging control and a management of the infrastructure can lead to wider employment of PHEVs. In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. In this research, hybrid PSOGSA has performed very well in producing better results than other stand-alone optimization techniques. © 2021 Springer Nature Switzerland AG. Part of Springer Nature.

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