Using personality type differences to form engineering design teams

Shen, Siu-Tsen; Prior, Stephen D.; White, Anthony S.; Karamanoglu, Mehmet

doi:10.11120/ened.2007.02020054

Cited by 51 publications

(44 citation statements)

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“…También, existen análisis teóricos sobre innovación que involucran tipologías personales y que no han sido vericados experimentalmente [Reilly et al, 2002]. Con base en lo anterior, este experimento se construyó con un conjunto de hipótesis, que son de soporte para las planteadas en los objetivos de la tesis, y se utilizaron dos de los test de personalidad más ampliamente utilizados en el ámbito mundial, el test de Myers-Briggs [Shen et al, 2007] y el test NEO [Reilly et al, 2002]. Con el primero, el test de Myers-Briggs, fueron organizados los equipos de trabajo y el segundo test permitió evaluar un conjunto de hipótesis que habían sido planteadas de manera teórica en otros estudios [Reilly et al, 2002].…”

Section: Resultados Obtenidos En El Primer Experimentounclassified

“…En el modelo, para involucrar dentro del Diseño Axiomático los requerimientos cualitativos o subjetivos, se ha sugerido el uso de la lógica Fuzzy para manipular este tipo de información [Zadeh, 1999]. Por último, para la conformación de los equipos multidisciplinares se ha sugerido una agrupación por tipología de personalidad utilizando la teoría de Jung que se encuentra con el uso del test de Myers-Briggs [Shen et al, 2007].…”

Section: Agradecimientounclassified

“…El indicador MBTI (Myers-Briggs Type Indicator), según Shen et al [Shen et al, 2007], es la herramienta psicológica de tipología mas conocida en el mundo hoy en día. Ningún otro instrumento de prueba ha sido sujeto a pruebas de conabilidad y validez.…”

Section: El Test De Myers-briggsunclassified

“…Existen muchos métodos para formar equipos de trabajo conocimientos (Shen et al, 2007). Las contradicciones encontradas como los principios inventivos aplicados en los bocetos de los grupos participantes, se encuentran consignados en el Cuadro 5.6.…”

Section: El Test Neounclassified

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Ampliación del Modelo de Diseño Axiomático para el Desarrollo de Productos con Equipos Multidisciplinares

Zambrano¹,

Alberto²

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ResumenEn esta tesis se propone un modelo ampliado del Diseño Axiomático para diseño de productos con equipos multidisciplinares. El Diseño Axiomático fue escogido después de hacer un análisis comparativo entre las teorías clásicas del diseño tomando como referencia el modelo de proyecto de Gómez-Senent. El Diseño Axiomático es una teoría basada en la interacción de dominios a diferencia de otras teorías las cuales son basadas en fases. Existen cuatro dominios denidos: el del cliente, el funcional, el físi-co y el de proceso. Algunas de las dicultades de la teoría del Diseño Axiomático son: la orientación exclusivamente funcional y la ausencia de equipos multidisciplinares durante todo el proceso de diseño.Esta tesis propone un proceso de trabajo multidisciplinar con el Diseño Axiomático, incluyendo requerimientos subjetivos de producto como elementos de diseño intencional y utiliza una métrica del nivel de cumplimiento para el segundo axioma que está asociado con el contenido de información.La tesis plantea inicialmente un modelo de colaboración entre la Universidad, el Estado, el Usuario y la Empresa: tanto la consolidada como la pequeña de base tecnológica. El punto de convergencia, en el diseño de producto para los actores, es la Necesidad Social asociada con el usuario. Este punto de encuentro permite una amplia perspectiva de análisis diferente a la tradicional del mercado. En el modelo propuesto de diseño de producto se involucran en forma sinérgica el Diseño Axiomático, la Teoría de Soluciones Inventivas TRIZ, la lógica fuzzy y la técnica de análisis multicriterio AHP. También, se provee un análisis del desempeño de equipos multidisciplinares en la fase creativa del diseño y se sugiere algunas características de composición de este tipo de equipos de diseño. AbstractAn expanded model of Axiomatic Design for product design with multidisciplinary teams is proposed in this Thesis. The Axiomatic Design was chosen after doing a comparative analysis between classical theories using as reference the multidimensional Gómez-Senent project model. Axiomatic Design is a theory based in domain interactions unlike the other theories which are phases based. There are four domains dened: Customer, functional, physical and process. Some diculties in Axiomatic Design theory are: the functional orientation and the absence of multidisciplinary teams during the whole process of design.This Thesis proposes a multidisciplinary work process with Axiomatic Design, including subjective requirements of product as intentional design elements and uses a metric of level of compliance for the second axiom which is about information content.This thesis initially presents a model of collaboration between the University, the State, the User and the Enterprise: the consolidate one and the small technology-based one. The point of convergence in product design for the actors is the Social Need associated with the user. This convergence point allows a broad product perspective, dierent from the traditional analysis of market. In the proposed...

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Section: Resultados Obtenidos En El Primer Experimentounclassified

Section: Agradecimientounclassified

Section: El Test De Myers-briggsunclassified

Section: El Test Neounclassified

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Ampliación del Modelo de Diseño Axiomático para el Desarrollo de Productos con Equipos Multidisciplinares

Zambrano¹,

Alberto²

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“…This concept was refined and tested over many years by Douglass Wilde at Stanford University 5,6 , and has been shown to be key to the success of many additional student engineering design teams [7][8][9][10][11][12] . Using years of data from design teams at Stanford, Wilde showed that teams developed using MBTI considerations performed "qualitatively and quantitatively better" than teams that are selected without accounting for the personality types of the team members 5 .…”

Section: Motivationmentioning

confidence: 99%

Automation and Optimization of Engineering Design Team Selection Considering Personality Types and Course-Specific Constraints

DuPont¹,

Hoyle²

2015 ASEE Annual Conference and Exposition Proceedings

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Bryony DuPont is an Assistant Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University (Corvallis, Oregon, USA). Her work looks at the development of computational design tools and optimization algorithms for sustainability, specifically renewable energy systems and sustainable product development. Dr. DuPont and the students of Oregon State's Design Engineering Lab are currently working on projects that include the layout optimization for wind farms, array design for novel wave energy conversion devices, optimization of collaborative power systems, the sustainable redesign of commuting bicycles, and the quantification of sustainability during the early design phase. Dr. DuPont completed her PhD in Mechanical Engineering from Carnegie Mellon University in 2013 in the Integrated Design Innovation Group, and her projects are currently funded by the National Science Foundation, the National Energy Technology Laboratory, Oregon State University, and Oregon BEST/Bonneville Power Association. Automation and Optimization of Engineering Design Team Selection Considering Personality Types and Course-Specific Constraints Bryony DuPont and Chris HoyleSchool of Mechanical, Industrial, and Manufacturing Engineering Oregon State University, Corvallis, Oregon, USA Optimal team selection in introductory and capstone mechanical design courses is vital to the success of the project, and, as such, many studies have been conducted to determine the means of generating ideal design teams. This work seeks to employ multiple areas of design team theory, including the use of Myers-Briggs Type Indicators (MBTI) for personality assessment and the capability for students to be placed in teams with respect to certain course-specific constraints, including project preference and teaming constraints, in order to automate the optimization of design team selection. Various test cases are shown that indicate the weighted multi-objective Mixed-Integer Linear Programming approach can quickly select optimal design teams consisting of diverse personality types, and can also assign students to preferred projects. This work serves as the first step toward a downloadable design team selection software package that will be made freely available to design researchers and educators. IntroductionOregon State University is home to one of the largest mechanical engineering design groups in the country, which has historically focused on undergraduate design education that combines both computational and hands-on design skills. As such, Oregon State University's department of mechanical engineering offers multiple undergraduate design courses, including two large project-based courses: a junior-level introductory course, and a multiterm senior-level capstone course. In the junior course, students have been placed on design teams considering MBTI personality types for more than twenty years; however, the instructor and the teaching assistants have always performed this team selection process manually. Simil...

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Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses

Martínez

Licea

Rodríguez

et al. 2011

Comp Applic In Engineering

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Role Assignment Methodology for Software Engineering Teams (RAMSET) methodology relates personality, abilities, and software roles for building Software Engineering Teams, applying sociometric, and psychometric techniques. This paper presents the results and experience of applying RAMSET's software supporting tool developed under a fuzzy approach. This software facilitates the role assignment decision making process, which results in a choice of role selection for individuals in working team projects. It has been applied in Software Engineering Courses of our Computer Engineering Program with great success giving students a practical experience in learning objectives, Wiley Periodicals, Inc. Comput Appl Eng Educ; View this article online at wileyonlinelibrary.com;

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Using personality type differences to form engineering design teams

Cited by 51 publications

References 14 publications

Ampliación del Modelo de Diseño Axiomático para el Desarrollo de Productos con Equipos Multidisciplinares

Ampliación del Modelo de Diseño Axiomático para el Desarrollo de Productos con Equipos Multidisciplinares

Automation and Optimization of Engineering Design Team Selection Considering Personality Types and Course-Specific Constraints

Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses

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