Rodríguez Aguilar, Román
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Preferred name
Rodríguez Aguilar, Román
Official Name
Rodríguez Aguilar, Román
Alternative Name
rrodrigueza
Main Affiliation
ORCID
Scopus Author ID
56717663000
Researcher ID
AAO-6158-2020

Research Output
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A brief literature review of quantitative models for sustainable supply chain management

2022 , Flores-Sigüenza, Pablo , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román

Supply chain management is the basis for the execution of operations, being considered as the core of the business function in the 21st century. On the other hand, at present, factors such as the reduction of natural resources, the search for competitive advantages, government laws, and global agreements have generated a greater interest in the sustainable development, which, in order to achieve it, industries need to rethink and plan their supply chain considering a path of sustainability. So sustainable supply chain management emerges as a means to integrate stakeholders' concern for profit and cost reduction with environmental and social requirements, attracting significant interest among managers, researchers, and practitioners. The main objective of this study is to provide a synthesis of the key elements of the quantitative model offerings that use sustainability indicators in the design and management of forward supply chains. To achieve this objective, we developed a systematic literature review that includes 80 articles published during the last decade in peer-reviewed journals in English language. In addition, a 4W's analysis (when, who, what, and where) is applied and three structural dimensions are defined and grouped by categories: supply chain management, modeling, and sustainability. As part of the results, we evidenced a continuous growth in the scientific production of this type of articles, with a predominance of deterministic mathematical programming models with an environmental economic perspective. Finally, we identified research gaps, highlighting the lack of integral inclusion of a life cycle analysis in the design of supply chain networks. © 2022 Elsevier Inc. All rights reserved.

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Evaluation of Technical Efficiency of Thermal Power Units in Mexico : Data Envelopment Analysis and Stochastic Frontiers

2017 , Rodríguez Aguilar, Román , Marmolejo Saucedo, José Antonio

This chapter discusses two methodologies generally used for the estimation of technical efficiency in the generation of electric power in Mexico for a set of thermoelectric power plants. Data envelopment analysis and stochastic frontier model are developed to estimate the technical efficiency of a set of thermoelectric power plants, highlighting the differences in the results, as well as the pros and cons of each methodology. The estimation of technical efficiency measures within the framework of the liberalization of the Mexican electricity market is relevant because the public supplier must form a portfolio of the most efficient plants to be able to compete in the market. For this, it is necessary to develop efficiency studies that support decision-making; the study focuses on thermoelectric power plants because they represent the greatest participation in the national generation and the highest cost of production. ©2018, Springer International Publishing.

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Liberalization of the Mexican Electricity Sector: A Study of Technical Efficiency

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

This article discusses the recent reform implemented in the Mexican electricity sector. As part of the structural reforms carried out in Mexico during the last 6 years (2012–2018), the opening of this sector to foreign capital, the creation of a wholesale electricity market, and the end of the monopoly of a CFE (Federal Electricity Commission, a government company) are the main changes. This study addresses an estimation of technical efficiency of power thermal units within the framework of the liberalization of the Mexican electricity market. These estimations are relevant because a single supplier, even before liberalization, must form a portfolio of the most efficient plants to be able to compete in the electricity market. The main results show the composition of a set of power thermal plants that are the most efficient of the total number of plants in operation and that could represent CFE in the wholesale electricity market. © Springer Nature Switzerland AG 2019.

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Machine Learning Applied to the Measurement of Quality in Health Services in Mexico: The Case of the Social Protection in Health System

2018 , Rodríguez Aguilar, Román , Marmolejo Saucedo, José Antonio , Vasant, Pandian

To propose a satisfaction indicator of users of health services affiliated to the Social Protection System in Health (SPSS). Identify the effect of the main factors that are directly related to the satisfaction level and perception of quality of health services. A machine-learning model based on Logistic Models and Principal Components was developed to estimate a satisfaction index. The survey data collected for the “SPSS 2014 User’s Satisfaction Study” was used, considering a sample of 28,290 users. The proposed model shows, in general, the positive perception of quality of health services (national average 0.0756). There are factors statistically significant that influence these results, the good perception of infrastructure (OR:2.12; CI 95%:1.9–2.36); the gratuity of the service provided (OR:1.98; CI 95%: 1.42–2.76); and full medicines supply (OR:1.81; CI 95%:1.91–2.36). The proposed index can be used as an indicator for improving health care quality of the population covered by the SPSS. © 2019, Springer Nature Switzerland AG.

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Correction to: Data Analysis and Optimization for Engineering and Computing Problems

2020 , Vasant, Pandian , Litvinchev, Igor , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román , Martínez Ríos, Félix Orlando

This book was inadvertently published without updating the following (or with the following error) © Springer Nature Switzerland AG 2020

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