Person:
Sigüenza Guzmán, Lorena Catalina

Birth Date

1980-01-26

ORCID

0000-0003-1367-5288

Scopus Author ID

55960099200

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Química Aplicada y Sistemas de Producción, Cuenca, Ecuador
KU Leuven (Katholieke Universiteit Leuven), Leuven, Bélgica

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Sigüenza Guzmán

First Name

Lorena Catalina

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Search Results

Now showing 1 - 10 of 53

A hybrid algorithm for supply chain optimization of assembly companies
(IEEE, 2019) Cevallos Tapia, Carlos Patricio; Sigüenza Guzmán, Lorena Catalina; Peña Ortega, Mario Patricio; Peña Ortega, Mario Patricio
A fundamental goal of any system is to get an optimal state. These optimal states can be found in different areas, such as medicine, engineering, or architecture. In the field of industrial engineering, one of its objectives is improving or optimizing company processes in order to increase benefits while reducing costs. In this context, an essential component is the supply chain, which is a network in that different entities, such as manufacturers, suppliers, distributors, retailers, transporters, and customers or end-users, are associated. Several optimization algorithms with different approaches have been developed to optimize the supply chain. Nevertheless, they still have problems to fulfill some requirements at once. This research aims to develop a hybrid optimization algorithm that leverages the capabilities of different approaches. This algorithm, which presents a multi-objective optimization schema, meets a tradeoff between the optimization results quality and the runtime. To this end, a manufacturing and assembly company is used as a case study to prove the algorithm. The results are also compared with other state-of-the-art algorithms using the same execution environment and general settings. Findings indicate that the hybrid algorithm converges in less time and in most cases, it could reach the global optimal.
New hybrid algorithm for supply chain optimization
(Springer, Cham, 2021) Cevallos Tapia, Carlos Patricio; Peña Ortega, Mario Patricio; Sigüenza Guzmán, Lorena Catalina; Sigüenza Guzmán, Lorena Catalina
Optimization is the process of obtaining the best solutions to specific problems. In the literature, those problems have been optimized through a plethora of algorithms. However, these algorithms have many advantages but also disadvantages. In this article, a New Hybrid Algorithm for Supply Chain Optimization, NHA-SCO has been proposed in order to improve the benefits of objective function convergence. For the analysis of the results, three assembly companies have been utilized as case studies. These companies present their supply chains, i.e., networks where products flow from their raw material to the final products delivered to clients. These supply chains must satisfy different objectives, such as maximize benefits and service level and minimize scrap. For the evaluation of results, NHA-SCO has been compared to other well-known optimization algorithms. In the presented case studies, the NHA-SCO algorithm performs faster, or it converges in fewer iterations, obtaining similar or even better results than the other algorithms tested.
Literature Review of Data Mining Applications in Academic Libraries
(ELSEVIER LTD, 2015-07-01) Sigüenza Guzmán, Lorena Catalina; Ávila Ordóñez, Elina María; Saquicela Galarza, Víctor Hugo
This article provides a comprehensive literature review and classification method for data mining techniques applied to academic libraries. To achieve this, forty-one practical contributions over the period 1998-2014 were identified and reviewed for their direct relevance. Each article was categorized according to the main data mining functions: clustering, association, classification, and regression; and their application in the four main library aspects: services, quality, collection, and usage behavior. Findings indicate that both collection and usage behavior analyses have received most of the research attention, especially related to collection development and usability of websites and online services respectively. Furthermore, classification and regression models are the two most commonly used data mining functions applied in library settings.Additionally, results indicate that the top 6 journals of articles published on the application of data mining techniques in academic libraries are: College and Research Libraries, Journal of Academic Librarianship, Information Processing and Management, Library Hi Tech, International Journal of Knowledge, Culture and Change Management, and The Electronic Library. Scopus is the multidisciplinary database that provides the best coverage of journal articles identified. To our knowledge, this study represents the first systematic, identifiable and comprehensive academic literature review of data mining techniques applied to academic libraries.
A model for implementing enterprise resource planning systems in small and medium-sized enterprises
(Science and Technology Publications, 2021) Tapia Cárdenas, Daniela Estefania; Vintimilla Álvarez, Paola Fernanda; Álvarez Palomeque, Lourdes Ximena; Llivisaca Villazhañay, Juan Carlos; Peña Ortega, Mario Patricio; Guamán Guachichullca, Noé Rodrigo; Sigüenza Guzmán, Lorena Catalina; Jadán Avilés, Diana Carolina; Vintimilla Álvarez, Paola Fernanda
Small and medium-sized enterprises (SMEs) are considered dynamic agents within the business environment. Currently, SMEs have great potential for strong growth and great profit. However, their growth is restricted by the lack of systems that would allow integrating their data and activities. One possible solution is the implementation of Enterprise Resource Planning (ERP) systems to increase the company’s level of efficiency, effectiveness, and productivity. However, implementation processes require investing resources and bring certain problems, e.g., the difficulty to fully adapt to the organization’s accounting and management procedures, and lack of experience of end-users in handling ERP systems. The aim of this study is focused on constructing a model for successfully implementing ERP systems into SMEs. This model used a group of critical success factors (CSF) to analyze empirical evidence in organizations. To its development, the interpretive structural modeling methodology was used, and it was validated in a focus group of experts in implementing and using ERP systems. The results show that the model is adequate for a successful implementation in SMEs engaged in sales, production, or service activities.
Using Time-Driven Activity-Based Costing to Identify Best Practices in Academic Libraries
(Elsevier, 2016-05-01) Sigüenza Guzmán, Lorena Catalina; Auquilla Sangolquí, Andrés Vinicio
In the current competitive and dynamic environment, libraries must remain agile and flexible, as well as open to new ideas and ways of working. Based on a comparative case study of two academic libraries in Belgium, this research study investigates the opportunities of using Time-Driven Activity-Based Costing (TDABC) to benchmark library processes. To this end, two major research questions are addressed: 1) Can TDABC be used to enhance process benchmarking in libraries? 2) Do results at activity level provide additional insights compared to macro results in a process benchmarking? We first start by describing the TDABC implementation. Then, we discuss and compare the workflow of 10 library processes covering the four principal library functions: acquisition, cataloging, circulation and document delivery. Next, based on the benchmarking exercise, we report and discuss potential processes and performance improvements that can be realized from using library time and costs information, in particular concerning the two libraries analyzed. We conclude this article by discussing the advantages of using TDABC as a tool to enhance process benchmarking in libraries.
An overview of optimization models and technological trends of logistics in the retail sector
(Springer Science and Business Media Deutschland GmbH, 2022) Peña Ortega, Mario Patricio; Jadán Avilés, Diana Carolina; Sigüenza Guzmán, Lorena Catalina; Guamán Guachichullca, Noé Rodrigo; Arcentales Carrión, Rodrigo Nicanor; Llivisaca Villazhañay, Juan Carlos
Recently, the e-commerce market has grown rapidly. For example, e-commerce generated sales of USD 504 billion in the US from January 1, 2020, to July 1, 2020, representing an increase of 11.58% over the same period in 2019. This growth has forced the retail industry has had to adopt strategies to become more efficient. About 40% of many companies ‘available time is devoted to logistics. Because these activities are consuming a disproportionate share of many companies’ time, logistics is a prime topic of interest. In this context, this study aims to present an overview of optimization models and technological trends in logistics in the retail sector. Findings show that retail logistics has focused on reducing costs, time usage, and inventories while increasing transport capacity. Optimization in logistics has focused on using mathematical algorithms such as genetic algorithms with different variants, and simulation has supported testing optimization proposals. Finally, big data, omnichannel, and e-commerce continue to grow, especially in the retail sector where it has grown considerably
Prediction of standard times in assembly lines using least squares in multivariable linear models
(Springer, 2020) Ramírez Vargas, Jhon Sleiter; Guamán Guachichullca, Noé Rodrigo; Colina Morles, Eliezer Null; Sigüenza Guzmán, Lorena Catalina
Currently, the highly competitive environment of the assembly industries has been an engine for them to seek differentiating factors for improving their efficiency. One of these factors is the study of times and methods (referred to the analysis and the critical and systematic examination of how a task is presently performed, facilitating to find more effective methods), which allows alleviating internal and external aspects that affect productivity and provides the basis for management decision-making. The present work has two primary objectives; firstly, the calculation of standard times within the enterprise operative area and, additionally, the development of a mathematical model for time prediction. For the fulfillment of these purposes, a referential conceptual framework was established about the study of time and the multiple linear regression model. This framework allowed elaborating a procedure for the development of the mathematical prediction model, together with its validation. The study concludes with a discussion on the importance of having models to estimate standard times in business decision making, and the establishment of relevant conclusions.
Textile micro, small and medium enterprises (MSME) layout dynamics in the ecuadorian context
(Springer International Publishing, 2022) Jadán Avilés, Diana Carolina; Flores Sigüenza, Pablo Andrés; Guamán Guachichullca, Noé Rodrigo; Sigüenza Guzmán, Lorena Catalina; Rosero Mantilla, César Aníbal
Micro, small, and medium enterprises’ (MSME) role in developing national economies is critical. These enterprises constantly search for effective tools to improve their production processes. However, methodologies proposed by numerous authors are not explicitly adapted to the size of such companies. MSMEs have been developed according to their specific needs, using particular procedures and adapting to a lack of financial resources to invest in substantial improvements. This study seeks to identify the characteristics, needs, and general context that impact layout planning decisions in textile MSMEs. This work proposes an evaluation tool that has been developed within different stages. These stages included a literature review, validation of the information obtained, and the application of the resulting tool in three case studies of textile MSMEs that face different situations. There are marked differences and similarities in the three textile enterprises, making it possible to identify the most important decisions that should be made when planning the layout for their production processes.
Optimization models used in the textile sector: a systematic review
(Springer Science and Business Media Deutschland GmbH, 2022) Llivisaca Villazhañay, Juan Carlos; Veintimilla Reyes, Jaime Eduardo; Sigüenza Guzmán, Lorena Catalina; Torres Torres, Christian Marcelo; Toledo Illescas, María Belén; Peña Ortega, Mario Patricio
In recent years, several works have been published dedicated to obtaining optimization models. Many of them have been applied in the textile sector because they are part of the economic development areas of a country. This article’s main objective is to review the literature published on optimization models and understand what methods their authors used to solve the optimization problems in the textile sector. A systematic methodology was applied to select research questions, digital databases, and search terms to utilize practical and methodological filters later to carry out this systematic review. This procedure allowed performing a review and synthesis of the results obtained on the optimization models. It was found that the models resulting from the systematic review vary depending on the areas to be optimized. The most frequent applications were logistics and production, followed by cost minimization. They were optimized mainly with linear programming, integer programming, Markov chains, genetic algorithms, and multi-objective programming
A process collection methodology towards TDABC costing optimization of IT services: a case study in an Ecuadorian university
(2019) Ribadeneira Espinoza, Carlos Andrés; Tuapante Vanegas, Tania Lorena; Sigüenza Guzmán, Lorena Catalina; Ayabaca Mogrovejo, Orlando Fabián; Tello Guerrero, Marco Andrés; Vanegas Peña, Paúl Fernando
ICT plays a paramount role in successful organizations. In order to achieve organizational goals, ICT services have to be closely overseen. Tools such as costing methods allow managers to be alert. Implementing a costing method for ICT services not only helps to justify investments, but also optimizes the cost of services. However, methodologies related to providing input to develop a costing model are limited. This research ameliorates ICT service manageMent by proposing a process collection methodology that contributes to the creation of a costing model with TDABC. The proposed methodology has been tested in an IT department in an Ecuadorian University. It matched the collected information with ITIL enabling the department to manage its IT service performance. The obtained processes, activities, times and resources from operative IT services displayed substantive input to design a costing model to improve the IT department and; thereby, the organization’s management as a whole.