Industrial Engineering Program Research Articles

No-Cost Learning Material: Perspectives From Industrial and Systems Engineering Students

Affordable Learning Georgia (ALG) is an initiative that began in 2014, which supported faculty when transforming their previously required textbooks to low-cost, no-cost textbooks. The goal was to help reduce the financial burden on students in their pursuit of a college education. In this study, the researchers developed no-cost textbooks for two undergraduate industrial and systems engineering courses. Both quantitative and qualitative measures are used to assess the effectiveness of the textbook transformation and students’ experience of no-cost learning material in the Industrial and Systems Engineering program. The responses were overwhelmingly positive with respect to the no-cost textbooks in both courses.

Online Classrooms During COVID-19 Pandemic: A Survey of Industrial Engineering Instructors in Indonesia

Objectives: The purpose of this descriptive study was to understand the instructional methods, quality, and challenges in online instruction as industrial engineering instructors in Indonesia transitioned from face-to-face to fully online instruction during the COVID-19 pandemic. Methods: Instructors were invited to complete a survey that requested perceptions on methods, perceived quality, and challenges regarding course delivery and assessment in their online classrooms. Results: Despite the fact that more than half of the participants (59%) had some training, the majority (63%) reported that they had no experience in conducting online classrooms. Furthermore, more than 50% of the participants described the quality of the course delivery and assessment as the same or inferior to traditional classrooms. Most participants reported having an issue with measuring student involvement or gaining class interaction. Regarding the course assessment, the vast majority of the participants reported concerns about integrity issues associated with assignments and exams. Implications for Practice and Conclusion: Since instructors reported intention to continue online instruction post-pandemic, industrial engineering programs can begin strengthening the online learning infrastructure and providing some training to the instructors to minimize the discrepancies between face-to-face and online instruction.

Timetabling mathematical model for an Industrial Engineering program: the case of a Colombian Higher Education Institution

This article presents a mixed integer programming model designed to organize classes, teachers and classrooms considering time slots, defining an optimal schedule for the Industrial Engineering program of a Higher Education Institution (HEI) in Colombia. 63 courses were included with requirements associated with teachers, class days, possible crossovers, class divisions, and others. The schedule generated by the model provides useful information to the institution and opens the possibility of expanding the use of the model with a greater scope.

Planning and performance measurement in higher education: three case studies of operational research application

In this work, we illustrate the application of a wide variety of Operations/operational research (OR) tools in higher education through three case studies based on practical applications conducted in the Engineering School of the Universidad de Antioquia. These case studies focus, respectively, on capacity planning, resource allocation, and performance measurement. In the first case study, we model and predict the flow of students enrolled in the industrial engineering program through the new curriculum using system dynamics and algebraic modeling of dropout rates, finding the number of sections for the courses, and the corresponding number of faculty positions needed to support the program structure. The second case study is a course covering model for the new curriculum that considers preferences and capacities of the teaching staff in an integer programming model, to find the uncovered courses of the new curriculum. Finally, the third case study presents a data envelopment analysis tool currently used to evaluate and rank the faculty of the Engineering School according to their teaching performance. The case studies presented in this work showcase how helpful OR tools are to rationalize the decision-making process in higher education institutions.

Classification of University Departments of Industrial Engineering in Colombia: A DEA Application without Explicit Inputs

The article describes the use and applicability of Data Envelopment Analysis without Explicit Input (DEA-WEI) to evaluate the performance in SaberPRO tests of 82 industrial engineering programs in Colombia during 2016-2018. The results obtained can be used as an instrument to strengthen the quality assurance processes in higher education. As a result of applying the DEA-WEI model, the universities could be classified into five homogeneous groups, each with different characteristics. This grouping can be used as a strategic tool for the higher education institutions since it was possible to identify the other institutions' reference universities. In the current environment, evaluating a university's academic program's performance and its comparison with other universities is an essential issue for students, state control agencies, and universities to improve their indicators for accreditation processes. This classification can serve as a comparative measure of the educational quality offered by each university. In some countries, these classification results serve as a reference for allocating resources by the State for financing infrastructure and research projects. In Colombia, one of the indicators of quality in higher education is the standardized tests called SaberPRO, taken by all students in the last year of any academic program.

CDIO- The Framework for Outcome-based Engineering Education for Accreditation: A Case Study of Thai Industrial Engineering Program

The recent movement of Thai engineering education and accreditation is a shift from content- to outcome-based. With the aim to achieve an accreditation by the Thailand Accreditation Body of Engineering Education (TABEE) and an international recognition, the objective of this paper is to share how the industrial engineering (IE) program of Thailand’s Rajamangala University of Technology Thanyaburi (RMUTT) has applied the Conceive-Design-Implement-Operate (CDIO) framework to transitioning from the content- to outcome-based curriculum. For the methodology, the learning outcomes in the CDIO Syllabus were mapped to the Thailand Qualification Framework (TQF)’s engineering curriculum requirements and to TABEE Criterion 3 (learning outcomes and assessment). The mapping was to portray their complementary nature. To this end, the CDIO implementation in accordance with the 12 CDIO Standards was undertaken and the details elaborated. The rubric-based CDIO and TABEE self-evaluations were carried out and the results translated into actions for continuous improvement. The 4-5 rubric scores from 2013-2018 suggesting that the successful CDIO implementation contributes to the concurrent fulfillment of the TQF and TABEE learning outcomes.

Sample Senior Design Projects of Industrial Engineering Program at Kuwait University

A senior design course provides engineering students the opportunity to identify, formulate, and solve complex real-world engineering problems. This outcome is one of the seven student outcomes adopted by The Accreditation Board for Engineering and Technology (ABET). Therefore, the senior design course is a part of the curriculum of most of the international engineering programs. Hence, it is also a required course in the curriculum of the Industrial and Management Systems Engineering (IMSE) program of Kuwait University (KU). In the senior design course of IMSE program at KU, students select a company and conduct their project at the company. In this paper, three of these companies are briefly described along with identified problems, proposed solutions, and obtained results. Student evaluation by the company’s representatives is also discussed. It has been shown that the senior design students improved the operations of the selected companies significantly. It has been also observed that the students are enthusiastic by applying the methodologies and tools of Industrial Engineering that they learned in their earlier courses to solve real life problems.

An optimization model for course scheduling in Undergraduate Industrial Engineering Program of Universitas Sebelas Maret

Course timetabling is a common problem in many universities. With different number of students enrolled in every course, the number of lecturers, and various size of room’s capacity, then it would be difficult for scheduler to assign courses manually. The assigning process must meet all of educational rules in order to satisfy students and lecturers for a better educational quality. There are sets of time slot, courses, and rooms. The room efficiency and the effectiveness needed due to limited available room. The problem is formulated in the form of binary integer linear programming. The objective function of the model is to maximise the room utility. The model also considers probability of a course taken by different student groups in order to avoid clash. The results show a significant difference between manual scheduling and optimization results can satifsy more constraints than manual scheduling.

How relevant is the industrial engineering program at Universidad Libre?

The purpose of this article is to present the results of the research project that aims to evaluate the relevance of theacademic program of industrial engineering of the free university, which allowed to determine the degree of social andindustrial relevance, based on the professional profile defined in the PYP (Educational Project of the Program) in force forthe period 2018 - 2020 responding to the accreditation requirements of Agreement 02 of 2020 of the CNA (NationalAccreditation Council). The information for this study was collected through questionnaires, as a research tool, which isaddressed to the entrepreneurs linked to the institution, graduates of the program and the community that is part of thesocial projection of the faculty.In the evaluation was possible to conclude that the Industrial Engineering program has a high percentage of relevance,both social and industrial, values that will be analyzed in this article.

A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs

A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs

El acoplamiento de la manufactura con la pertinencia ambiental como motivador de interés en estudiantes de Ingeniería Industrial

Manufacturing is a key economic activity. Its know-how and its competitive advantages have shaped the history of humankind. In many Industrial Engineering (IE) programs, however, manufacturing is not taught as related to process know-how, but as systemic integration and management. It is possible to capitalize on the recent 3D printing technologies to reintroduce IE students to manufacturing principles through prototyping projects. Sparking the interest of IE students, though, can also be achieved through selecting problems of environmental awareness. This work describes a project of self-assemblies developed under the scheme of undergraduate research that makes prototyping a central endeavor with the aim to foster plastic recycling as an end goal.

Diagnóstico de la cultura organizacional del programa educativo de Ingeniería Industrial de la Universidad Tecnológica de Tecamachalco

This research work presents a diagnosis of the organizational culture of the Educational Program of Industrial Engineering of the Technological University of Tecamachalco, according to the findings found and where it can intervene to establish improvement strategies. To carry out the research and based on the literature review, the quantitative method was used through the Competing Values Framework Model as the most appropriate to diagnose the organizational culture in an educational institution, taking into consideration studies carried out in Mexico (García, Hernández, Vargas and Cuevas, December 2012; Sánchez, 2017; Chuc, 2017) and that for its application in a case study it was necessary to determine the validity and reliability of the instrument. In order to understand how an organization will act under different circumstances, it is necessary to know what basic assumptions it has, that is, to inquire into its organizational culture to know "shared values, habits, uses and customs, codes of conduct, work policies, traditions and objectives that are transmitted from one generation to another. " (Chiavenato, 2009, p. 120).

“Planeando las compras en PartesYa”: a hands-on activity to study the MRP

Este artículo describe una propuesta de actividad lúdica diseñada para el estudio de la planificación de los requerimientos de materiales (MRP, por sus siglas en inglés), en el curso de Administración de Operaciones, del Programa de Ingeniería Industrial, en una universidad colombiana. Esta temática fue categorizada como un tópico que requería de manera prioritaria el diseño de actividades lúdicas, al estudiar la percepción de los estudiantes en las variables de grado de motivación y grado de dificultad. La lúdica simula el proceso de compra a corto plazo de las materias primas requeridas para la fabricación del producto estrella de una compañía de maquinaria industrial. Cada equipo debe determinar las cantidades a comprar, de tal manera que se minimice el costo total de manejo de inventarios. La actividad vincula información relacionada con la planificación de la producción y el comportamiento de la demanda del producto estrella, así como la capacidad de fabricación del proveedor, los costos de compra de las materias primas y descuentos por compras anticipadas. Esta aplicación práctica busca representar un proceso de compras en un contexto real, con el fin de que los estudiantes puedan comprender la utilidad y aplicación del MRP para el desempeño operativo del sistema de producción.

“Trans-Localizando”, una actividad lúdica para estudiar el problema de localización-ruteo

En este artículo se presenta una propuesta de actividad lúdica diseñada para el estudio del problema de localización-ruteo, en el curso de Diseño de Cadenas de Suministro, del programa de Ingeniería Industrial de una universidad colombiana. Para la selección y diseño de la actividad, se llevaron a cabo las siguientes fases: priorización de las temáticas por medio del análisis de las variables grado de dificultad y grado de motivación; configuración de la lúdica y de su validación preliminar, para evaluar el grado de cumplimiento y pertinencia. La temática fue seleccionada por ser uno de los temas prioritarios de intervención, puesto que presentó el promedio más alto respecto al grado de dificultad y al grado de interés. Se obtiene una lúdica que simula una red de suministro de dos niveles y vincula tres decisiones: 1) determinar cuáles, de tres posibles mayoristas, deben ser abiertos para atender a cuatro minoristas; 2) asignar cada minorista a los mayoristas abiertos, y 3) definir las rutas de entrega de mercancía, minimizando costos en la red de suministro (inversión y transporte). Su estructura incluye información general relacionada con la asignatura, el contexto, los roles, el objetivo, los parámetros, las bonificaciones y las instrucciones detalladas que se deben llevar a cabo, la duración y los recursos requeridos para la ejecución de la actividad. En la etapa de validación todos los participantes manifestaron que la lúdica cumple el objetivo propuesto, es pertinente e interesante.

A solution to the university course timetabling problem using a hybrid method based on genetic algorithms

In this study, we address the current issues that usually manifest during the programming of university courses, classified as University Course Timetabling Problem, which is considered as a NP-hard problem due to the high computational demand that it requires.To solve the problem, a Mixed Integer Linear Programming model is proposed, which serves as a reference when dimensioning the problem and the restrictions that must be considered. Next, a hybrid metaheuristic method is designed based on the HGATS algorithm, Hybrid Genetic Algorithm Tabu Search Approach, developed by [16], which combines the diversification capacity of the Genetic Algorithm with the strategy of intensification of the Tabu Search Algorithm. Finally, the validation of the proposed algorithm is performed using the data from the programming of the classes from the academic periods 2018-1 and 2018-2 for the academic program of Industrial Engineering at the Industrial University of Santander, obtaining interesting solutions in a reasonable computational time, being that the process of organizing the schedule by the coordinator can last from hours to days, depending on your ability.

Pengembangan E-Learning dengan Metode Self Assessment Untuk Meningkatkan Hasil Belajar Matematika Mahasiswa Universitas Mahendradatta

This study is aimed to develop e-learning media with self-assessment methods to improve mathematics learning outcomes of college students. The model used in the development of e-learning was the ADDIE model. The sample of this study was 39 college students of the Industrial Engineering Program, Faculty of Engineering, Mahendradatta University. The data analyzed in this study were student’s mathematics learning outcomes obtained from the posttest scores after using e-learning with self assessment method. To determine the effectiveness of the implementation of e-learning, experimenation with one group pretest and posttest design was conducted. Data of learning outcomes obtained were analyzed by using the Paired T-Test. Based on the results of expert validation and product trials, e-learning was feasible to be implemented. Based on the results of the Paired T-Test, a significant value of less than 0.05 was obtained, so based on the hypothesis that there was a difference between the learning outcomes before and after e-learning was implemented. This was also supported by an increase in the average value of student mathematics learning outcomes, from the initial pretest score of 75,92 to 82,10. Student response value was 69,0 which indicated that the response to e-learning was positive. The increase in learning outcomes was due to e-learning learning with self-assessment methods which provided opportunities for students to increase their confidence in their mathematical skills.

Learning styles for algebra concepts: The case of engineering students at the Universidad de Santander (Valledupar, Colombia)

The objective of this research was to evaluate the learning styles for algebra concepts of the students of the industrial engineering program of the University of Santander, Valledupar, Cesar, Colombia. A descriptive study was developed, consisting of 40 algebra students and 6 mathematics teachers, the questionnaire is self-administered elaborated with a dichotomous scale for the student and for interpretation of the means, a scale was designed based on a scale between zero and five that reveals the score obtained in said test, the styles studied were active, reflective, theoretical and pragmatic. Concluding that the predominant style is the pragmatic and theoretical, which allowed to select and apply strategies aimed at generating interactivity between students and teachers around the knowledge of algebra.

A Project-Based Learning Approach to Teach Identification and Control Systems

This paper presents a teaching tool for modeling and control of dynamical systems using a project-based learning approach, which allows engineering and basic science students to develop programming and electronic design skills through the use of fundamental physics. The tool has two main components. The first one is a program that obtains the mathematical model of an electrical circuit from experimental data, and this model is used to design a discrete-time controller. The second component is a C language code generator that takes the controller designed by the first component and implements it on an Arduino board. This tool was tested in the Identification and Simulation undergraduate class at the Universidad del Cauca, proving to be easy to use and motivating for the students within the Industrial Automation Engineering program.

Use of Factorial Analysis of Mixed Data (FAMD) and Hierarchical Cluster Analysis on Principal Component (HCPC) for Multivariate Analysis of Academic Performance of Industrial Engineering Programs

The article describes a new idea about using Factor Analysis, Mixed Data, and Hierarchical Cluster Analysis on Principal Components to study the academic performance in 82 Industrial Engineering Programs in Colombia. For this, we used the data from the results of the standardized test of the Saber Pro.). The authors find that the first three components explain 89.12% of the original data set variability. The quantitative variables associated with the Factor Analysis are the first dimension, while the two qualitative variables are related to the second dimension. The first factor explains 95.83% of the dispersion of the scores in Critical Reading, 94.72% of the variability in Quantitative Reasoning, 94.51% of the variation in Mathematics and Statistics, among others. This study shows a strong positive correlation between the quantitative variables and the first factorial axis. It assumes that the Industrial Engineering Programs of public higher education institutions perform better than private ones. The article stipulates that the higher education institutions belonging to the Andean Region present a better performance, followed by the higher education institutions located in the Pacific Region. In general terms, the results confirm that the best performing universities usually appear in the first places in the different rankings and are located in the big cities.

A benchmark study - How industrial engineering undergraduate programs are addressing healthcare needs

While healthcare in the U.S. has made great strides at improvement, the delivery system still needs major changes, as evidenced by increasing costs (4-10% per year) and ongoing problems with patient safety. Healthcare improvement requires skills in quality, information technology, safety, human factors, and project management, which are all topics taught in the Industrial Engineering (IE) curriculum. However, for IE to accurately address healthcare's needs, curricula need to be enhanced with healthcare applications and reinforced with hands-on experience. As the influence of IE in healthcare grows, it is important to assess if academia is keeping up with this change. This study benchmarked IE undergraduate programs in the U.S. to evaluate their emphasis on healthcare, including courses, certificate programs and concentration areas or tracks. In addition, this study reviews an approach taken by the Louisiana State University IE program through a "Partnership to Prepare Undergraduates in Industrial Engineering for Careers in Healthcare" with the W. M. Keck Foundation as an example of integrating healthcare into IE curriculum. Lessons learned from this study are discussed and used to propose guidelines to integrate healthcare topics in IE curricula. Findings from this research will contribute to a better understanding of the availability of IE programs with a healthcare focus and formally develop as an academic path for undergraduate students.