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Lean Design for Six Sigma

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CARTA DE ACEPTACIÓN JESÚS GERARDO CRUZ ÁLVAREZ BERENICE MÉNDEZ SÁENZ P R E S E N T E En nombre del cuerpo arbitral, tengo el agrado de comunicarle que el trabajo RIICO-4702 Lean Design For Six Sigma: an Integrated Approach to Achieving Product Reliability and Low-Cost Manufacturing, ha sido aceptado para ser presentado como ponencia en el VI Congreso de la Red Internacional de Investigadores en Competitividad, razón por la cual le enviamos una cordial felicitación. De conformidad con la convocatoria, dispondrá de 15 minutos para la exposición de su trabajo, seguidos de una sesión de 15 minutos de preguntas y respuestas así como las conclusiones finales; por consiguiente, le recordamos que oralmente solo podrá exponer lo esencial de la versión escrita de su ponencia. La fecha y horario de su presentación le será comunicado posteriormente. Para la elaboración de las memorias del congreso, requerimos de su autorización para la publicación de su ponencia, por lo que le solicitamos llenar y firmar el formato adjunto. Agradeciendo su participación, que confiamos será benéfica tanto para usted como para nuestro congreso, aprovecho la ocasión para enviarle un cordial saludo. A t e n t a m e n t e Zapopan, Jalisco; Octubre 02 de 2012 DR. JOSÉ SÁNCHEZ GUTIÉRREZ PRESIDENTE DE LA RED INTERNACIONAL DE INVESTIGADORES EN COMPETITIVIDAD Cuerpo Académico Consolidado UDG-CA-484
Transcript

CARTA DE ACEPTACIÓN

JESÚS GERARDO CRUZ ÁLVAREZ BERENICE MÉNDEZ SÁENZ

P R E S E N T E

En nombre del cuerpo arbitral, tengo el agrado de comunicarle que el trabajo RIICO-4702

Lean Design For Six Sigma: an Integrated Approach to Achieving Product Reliability and

Low-Cost Manufacturing , ha sido aceptado para ser presentado como ponencia en el VI

Congreso de la Red Internacional de Investigadores en Competitividad, razón por la cual le

enviamos una cordial felicitación.

De conformidad con la convocatoria, dispondrá de 15 minutos para la exposición de su

trabajo, seguidos de una sesión de 15 minutos de preguntas y respuestas así como las

conclusiones finales; por consiguiente, le recordamos que oralmente solo podrá exponer

lo esencial de la versión escrita de su ponencia. La fecha y horario de su presentación le

será comunicado posteriormente.

Para la elaboración de las memorias del congreso, requerimos de su autorización para la

publicación de su ponencia, por lo que le solicitamos llenar y firmar el formato adjunto.

Agradeciendo su participación, que confiamos será benéfica tanto para usted como para

nuestro congreso, aprovecho la ocasión para enviarle un cordial saludo.

A t e n t a m e n t e

Zapopan, Jalisco; Octubre 02 de 2012

DR. JOSÉ SÁNCHEZ GUTIÉRREZ

PRESIDENTE DE LA RED INTERNACIONAL DE

INVESTIGADORES EN COMPETITIVIDAD

Cuerpo Académico Consolidado UDG-CA-484

CO-0607

Competitiveness And Social Responsibility In The Rubber Industry

Ugalde Sánchez Karen

José Sánchez Gutiérrez

CO-0408

El uso de las tecnologías de información para mejorar la

competitividad en el cálculo de las finanzas empresariales.

CO-0308

Elaboración Del Modelo Estimativo Para El Comportamiento De Cemex

En El Mercado Accionario Mexicano

15

:00

A 1

7:0

0 H

RS

CO-0506

Intellectual Capital For The Competitivenes In The Furniture Industry

In Guadalajara, Mexico

Gaxiola Villaseñor Mercedes Elisa

José Sánchez Gutiérrez

Hernández Correa Tomás Celis Flores Ilse

Chávez Capó Anselmo Salvador Ramírez Bonilla María Elena

Chávez Morales Ubaldo

Niño Castillo Jacob Elías

Niño Gutiérrez Naú

Niño Castillo Isaías Naú

Mayorga Salamanca Paola Irene

Sánchez Gutiérrez José

VI CONGRESO DE LA RED INTERNACIONAL DE INVESTIGADORES EN COMPETITIVIDAD

1ER COLOQUIO DE ESTUDIANTES - SALÓN VALENCIAMIÉRCOLES 14 DE NOVIEMBRE DE 2012

CO-0104

Evolución espacio-temporal de modelos turístico-económicos de

Acapulco, Guerrero, México

CO-0207 Efectos de la Mercadotecnia y Responsabilidad Social en la

Competitividad de las Pymes Manufactureras de la Zona

Metropolitana de Guadalajara

VI CONGRESO DE LA RED INTERNACIONAL DE INVESTIGADORES EN COMPETITIVIDAD

PONENCIAS MAGISTRALES - SALÓN SEVILLA - 09:00 A 11:30 HRSDR. FERNANDO ÚBEDA MELLINALIC. ALEJANDRO MALACARA ORTIZ DE MONTELLANO

La Propiedad Intelectual en México Factores determinantes y efectos de la Inversión Directa Exterior de la Economía Española

JUEVES 15 DE NOVIEMBRE

Salón Valencia Salón Salamanca Salón Alicante

RIICO-3202 La Relación de la Gestión de las

Cadenas de Suministro con los Procesos de

Producción para la Competitividad de la Pyme de

AguascalientesAguilera Enriquez Luis

Hernández Castorena Octavio

Lopez Torres Gabriela Citlalli

Moderador:Badillo Gaona Manuela

Comentarista:Morales Alquicira Andrés

Moderador:Acevedo Valerio Víctor

Antonio

PRESENTACIÓN DE TRABAJOS DE INVESTIGACIÓN - 12:00 A 14:00 HRSSalón Sevilla Salón Madrid Salón Barcelona

Competitividad Global Comp. Ind. Y Asuntos Tec. Vent. Comp. Y Des. Eco Educación y Competitividad Gestión del Conocimiento Comp. y Des. Fin

Moderador: Cárdenas Villalpando

Alfredo Salvador

Comentarista: Martínez Serna María

del Carmen

RIICO-22701 El Mueble Mexicano Y Su

Competitividad Versus El Asiático: Percepción

Comprador Internacional

Moderador: Moreno Zacarías Hugo

Martín Moderador: López Ortega Eugenio Moderador: Aguilasocho Montoya Dora

Comentarista: Rendón Trejo Araceli Comentarista: Montero Delgado Nancy

Imelda

Comentarista: Vargas Barraza Juan

AntonioComentarista: Socorro Diaz Nieto

Meza Juárez Fernando José

RIICO-16204 Investigación, Desarrollo E

Innovación En Alemania: Una Aportación A

México

RIICO-4305 Educación y Competitividad como

Elementos Proveedores de Desarrollo

Medina Romero Miguel Ángel

Flores Negrete Guadalupe Laura Zamora Mendoza Juan Manuel

Robles Estrada Celestino

RIICO-7506 El capital relacional como factor

determinante de la absorción de conocimiento

externo para la innovación. Un estudio empírico

l i d i f é i iCanto Valencia Herlinda

Vera Arenas Estela

Rivero Villar María Josefina

Madrigal Torres Berta Ermila

Bautista Evelio Gerónimo

Ruiz García Rodrigo

RIICO-4702 Lean Design For Six Sigma: an

Integrated Approach to Achieving Product

Reliability and Low-Cost Manufacturing.

Cruz Álvarez Jesus Gerardo

Méndez Sáenz Berenice

RIICO-0201 Análisis del impacto de la gestión de

conocimiento y el capital intelectual sobre la

competitividad de las Pymes manufactureras de

la región occidente de México

Vázquez Ávila Guillermo

Hernández Cotón Silvio Genaro

Núñez Moreno Tania Emma

RIICO-21001 Corea Del Sur Y México: Política

Económica Para La Competitividad Internacional

Bendreff Desilus

RIICO-10401 Imagen De Responsabilidad Social:

Factores Competitivos Que Influyen En El

Comportamiento Del Consumidor

Pacheco Ornelas Ma. Cristina

RIICO-6302 La percepción acerca de la privacidad

y seguridad en el social commerce en México: Un

estudio exploratorio

Alvarado Benitez Laura Margarita

García Medina Gabriel

RIICO-0104 Gobierno local y capitales

transnacionales. El caso del Polo Petroquímico de

Bahía Blanca (Argentina)

RIICO-5305 El Análisis De Las Percepciones Y

Expectativas De Los Alumnos De Doctorado A

Distancia De La Universidad Marista De

G d l jBrunet Icart Ignasi Cuevas Shiguematsu Carlos Yoshio

Santamaría Velasco Carlos Alberto Pelayo Maciel Jorge

Pérez Torres Griselda

RIICO-1004 Factores clave para la sobrevivencia

de una Empresa Familiar a varias generaciones

RIICO-5405 Similitudes en la Innovación de los

Sistemas de Formación Profesional en Países

como México, Alemania y Hungría.

Gutiérrez González Leonor

RIICO-6104 Modelo De Negocios, Necesidades

Del Cliente Y Gestión De La Innovación:

Propuesta De Proceso Conceptual Para La Mejora

Competitiva

RIICO-6405 El Desarrollo De Estrategias De

Promoción Diferenciadas En Los Programas

Educativos, El Caso De UDGVirtual

Mejía Trejo Juan Díaz Pérez Cristina

RIICO-21402 Modelo de satisfacción del cliente

en la industria restaurantera de la Zona

Metropolitana de Guadalajara

Espinoza Mercado Oscar Alejandro

Valenzo Jiménez Marco Alberto

Galeana Figueroa Evaristo

Martínez Arroyo Jaime Apolinar

González Álvarez Tonia Dafné Zúñiga Cortez Juan Hermilo

RIICO-9202 Logistics competitiveness Mexico vs

BRICS 2012

RIICO-2906 El Conocimiento de Mercadotecnia

como herramienta competitiva en las empresas

de manufactura contratada de la industria

Ortiz Barrera Manuel Alfredo

Sánchez Gutiérrez José

Vázquez Ávila Guillermo

RIICO-3506 Tecnología de Información para

Impulsar el Capital Intelectual en una Universidad

Privada del Estado de Guanajuato

Villagómez Torres Maya Gicela

González Uribe Elsa Georgina

RIICO-20804 La Competitividad En El Estado De

Guanajuato: Una Visión A Través De Los

Indicadores Del Comercio

RIICO-7905 Innovando PyMEs a través de la

vinculación con el enfoque de la Triple Hélice

Ruiz Diaz Fernando M Gómez Ortíz Rosa Amalia

Saldaña Contreras Yolanda Millán Gómez Paola Pilar

Mancha Villareal Mónica

RIICO-8908 El análisis financiero como

proceso para el desarrollo y la

competitividad de las Pequeñas y Medianas

( ) d l ió d l Zúñiga Cortez Juan Hermilo

González Guajardo Emilio

Gutiérrez González Leonor

RIICO-1104 De Empresa Familiar A Familias

De Empresarios: Propuesta Para Preservar

El Patrimonio Empresarial Y Legado Familiar

Saldaña Contreras Yolanda

Verdugo Tapial Leticia

Parada Ruiz Elva

RIICO-4508 Variables de la Responsabilidad

Social Empresarial y su influencia en el

desempeño financiero de las empresas.

Méndez Sáenz Alma Berenice

Cruz Álvarez Jesús Gerardo

RIICO-8308 La arquitectura de las finanzas

personales de la población

económicamente activa de Mérida,

á i d i i Duarte Cáceres Laura

ll Bojorquez Zapata Martha Isabel

Rosado Muñoz Yolanda Leonor

RIICO-12906 Desarrollo Del Índice De Utilidad De

La Innovación Para El Diagnóstico De Las Pymes

En El Estado De Hidalgo

Corona Armenta José Ramón

Montaño Arango Óscar

Ortega Reyes Antonio Oswaldo

RIICO-14506

La Gestión Del Conocimiento En Las Pequeñas Y

Medianas Empresas (Pymes): Una Estategia De

i i id dOchoa Ruiz Josefina

Romero González Rosa María

Morgan Beltrán Josefina

COMIDA - 14:00 A 15:10 HRS

De la Garza Cienfuegos Sandra P.

Mancha Villareal Mónica

RIICO-10208 Success Factors of a Quality

Model Award

Cruz Álvarez Jesús Gerardo

Méndez Sáenz Alma Berenice

Sánchez Gutiérrez José Guerrero Muñoz Juan Carlos

RIICO-9601 La Competitividad Empresarial, Suconcepción

Y Condicionantes: Estudio Cualitativo Con Expertos Y

Empresarios

López López Paula Andrea

Cabrera Martínez Alejandra

Yebra Molina Vianey Celina González Guajardo Emilio

Colín Salgado Mónica

PRESENTACIÓN DE TRABAJOS DE INVESTIGACIÓN - 15:15 A 18:00 HRS

Salón Madrid Salón Barcelona Salón Valencia Salón Salamanca Salón AlicanteSalón Sevilla

Moderador: Flores Galavíz José Luis

Comentarista: Galeana Figueroa Evaristo Comentarista: Torres Rivera Alma Delia Comentarista: Vázquez Ávila Guillermo Comentarista: Aguilera Enríquez Luis Comentarista: Gómez Chiñas CarlosComentarista: Martínez Arroyo Jaime

Apolinar

Comp. Ind. Asun. Tec Vent. Comp. Y Des. Eco Educación y Compt Gestión del Conocimiento Comp. Y Des. Fin

Moderador: Zamora Mendoza Juan

Manuel Moderador: González Ortiz Jorge Horacio Moderador: Gómez Ortíz Rosa Amalia Moderador:Santos Virgen Jesús Martín

Moderador: Alfaro Calderón Gerardo

Gabriel

Competitividad Global

Bojórquez Carrillo Ana Laura García Velázquez Ma. del Rosario Zápari Romero Gloria Yaneth Infante Jiménez Zoe T. Morales González María Antonia Gaytán Cortés Juan

RIICO-19704 El uso del derecho de acceso a la

información pública como herramienta

para alcanzar la competitividad de la empresa

RIICO-9902 La relevancia de la innovación

tecnológica en la competitividad empresarial

RIICO-25004 El incremento de la competitividad

en las PyMEs manufactureras de Guadalajara a

través del desarrollo del capital intelectual

RIICO-6005 Redes de Innovación de la Zarzamora

en Michoacán

RIICO-17906 Calidad En El Servicio En Los Dos

Principales Establecimientos Comerciales De

Dzilam González, Yucatán

RIICO-16108 El desempeño financiero en el

sector de las pymes manufactureras de la

zona metropolitana de Guadalajara.

Carcaño Loeza Álvaro Hernández Callejas Yolanda Ornelas Alma Angelina Ortega Gómez Priscila Castillo Herrera Francisco Javier Mejía Trejo Juan

Villasuso Pino Víctor Manuel Navarrete Zorrilla Dolores Margarita Ortiz Barrera Manuel Alfredo Bonales Valencia Joel Madero Llanes Jorge Emeterio Vizcaíno Antonio de Jesús

Coria Páez Ana Lilia Ortega Moreno Irma Cecilia Muñoz Zapata Daniel Chavarría López Leticia Refugio Chávez Capó Anselmo Salvador Briceño Santacruz Ma. de los

l

RIICO-16501 Las capacidades de mercadotecnia

como un factor que incide en la competitividad

de los productores de flores en México

RIICO-17702 La relación competitividad-

innovación-tecnología en microempresas: dos

casos

RIICO-6904 Imagen Inducida como Estrategia de

Desarrollo Local: Propuesta para la Avenida

Revolucion en Tijuana, B.C.»

RIICO-6605 La integración de la inteligencia

emocional como estrategia competitiva para la

formación de estudiantes de licenciatura

RIICO-18006 Determinación de los pasivos

intangibles de las empresas Televisa y Wal-mart

en la categoría de información, durante marzo-

d l 20 2

RIICO-17108 CAPACIDAD GENERADORA DE

UTILIDADES.

Un Modelo de valor-competitividad como

i d l ’ j l

Ortega Moreno Irma Cecilia Galván León Jorge De la Torre Hidalgo Tito Livio Varela Castro Werner Horacio

Andrade Vallejo María Antonieta Cruz Reyes María Angélica Montero Delgado Nancy Trujillo Flores Maricela Rivero Villar María Josefina Guzmán Cedillo Rosa María

Colín Salgado Mónica Agudelo Orrego Beatriz Eugenia González Alvarado Tania Elena Yarto Chávez Manuel Antonio Montaño Arango Óscar Rodales Trujillo Ma. Hilda

RIICO-17201 Marketing factor de competitividad:

sector textil de Guanajuato

RIICO-13501 Procesos De Gestión Del Talento

Humano Y Su Articulación Con La Estrategia

Organizacional

l ll l

RIICO-7204 Articulación con la localidad y

competitividad internacional: análisis de un caso

atípico

RIICO-8005 La arquitectura financiera en las

empresas de cartón corrugado en México y la

contribución de las IES para la competitividad del

RIICO-19906 El Conocimiento Estratégico Como

Herramienta Competitiva Para Fortalecer La

Industria Del Estado De Hidalgo

RIICO-18108 Los Sistemas de Información

en la Administración Pública para Elevar la

Competitividad Institucional.

Estrada Rodríguez Salvador Flores Cervantes Claudia Hernández Gress Eva S.

Segura Rodríguez Ana Jackelinne Steggemann Michael Badillo Gaona Manuela Corona Armenta José Ramón Chávez Zamora Mario

Estrada Garza Sasha Ivonne Ramirez Elbar Palos Delgadillo Humberto Urzúa López José de Jesús Fierro Moreno Erendira Ojeda Pérez Fabián

RIICO-1501 El desvanecimiento de la Industria

Pulquera Mexicana: Estrategias de marketing

para incrementar el consumo de pulque en

d l

CO-20003 Consorcios Exportadores LocRIICO-7704 La Gestión Social para el Manejo

Sustentable de los Recursos Hidrícos de la Cuenca

del Ahogado en la Región del Río Santiago, Jalisco

RIICO-9505 Las funciones actividades y tareas,

enfoque perceptual por los alumnos de la

licenciatura de Mercadotecnia del CUCEA (U. de

)

RIICO-24606 La Innovación Organizativa Y La

Mediación De La Gestión Del Conocimiento

RIICO-19508 Implementación De

Estratategias Financieras, Fiscales Y

Administrativas En Las Gasolineras Del

á l

Vizcaino Antonio de Jesús Quintana Meza Meztli Alcaraz Marín Adriana Cernas Ortiz Daniel Arturo Espíritu Olmos Roberto

Vargas Barraza Juan Antonio Cajigas Romero Margot Grave Prado Jesús Héctor Muñoz Fajardo Martha Filomena Mercado Salgado Patricia Priego Huertas Héctor

De la Garza Cienfuegos Sandra

Bonales Valencia Joel González Guajardo Emilio Palos Delgadillo Humberto Robichaud Yves Rosado Muñoz Yolanda Leonor

RIICO-2001 Propuesta para el desarrollo turístico una

oportunidad de negocio, Pymes y la comunidad en general

del municipio de Cuatrociénegas, Coahuila.

RIICO-0803 Eficiencia de las pymes exportadoras

del estado de Michoacán

RIICO-10804 El Impacto Familiar En La

Sustentabilidad Y Tercera Generación De

Mipymes En El Municipio De Monclova Coahuila,

é i 20 2

RIICO-10305 Factores Clave Del Clima Laboral

Que Influyen En Los Resultados Y Productividad

Del Posgrado Cucea De La Universidad De

G d l j

RIICO-26205 Female Entrepreneurs’ Motives And

Sme’s Growth:

An International Study

RIICO-20108 Estudio Descriptivo De Las

Pymes Yucatecas Beneficiadas Con Créditos

Gubernamentales

Mancha Villarreal Mónica Olivo Méndez Víctor Hugo Gutiérrez González Leonor Sánchez Lozano Lizette Areli McGraw Egbert Herrera Zapata Renán

Ruiz Díaz Fernando M. Aguirre Ochoa Jerjes I. Zúñiga Cortez Juan Hermilo Márquez Enríquez Sandra Margarita Cachon Jean Charles Duarte Cáceres Laura

ll

Bojórquez Gutiérrez Alberto Díaz Nieto Elia Socorro Cruz Reyes María Angélica Rojas Vélez Begoña Ceja Oseguera Salvador Chávez Nieto Dinorah Joyce

RIICO-15501 Dirección y posición de las Pymes en su

ambiente competitivo. Caso Sinaloa RIICO-2703 Modelo de Gestión del Clima

Organizacional y Liderazgos Enfocado a la

Productividad Caso en Empresa del Estado de

Q é

RIICO-12604 La identificación de perfiles

estratégicos en la PYME, ventaja que propicia

competitividad

RIICO-12105 Utilización y apropiación de

celulares como dispositivos móviles en la

educación en ambientes de competitividad.

di í i

RIICO-9005 Análisis de las competencias para el

emprendedurismo que se desarrollan en los

cursos presenciales de las licenciaturas del área

d i

RIICO-21308 El Costo De Capital Promedio

Ponderado Como Indicador De Una Ventaja

Competitiva Financiera

Pérez Bravo Julia Cruz Reyes Bricio Vera Arenas Estela Ramírez Murillo Laura Mayela

Bojórquez Gutiérrez Fernando Morgan Beltrán Josefina Coria Páez Ana Lilia Galindo Ramírez José Luis De la Torre Hidalgo Tito Livio Aguilera Aguilera José Rafael

Varela Alemán Omar G. Coronado Quintana José Ángel Olivares Contreras Rodrigo Alejandro Acevedo Valerio Víctor Antonio Flores Preciado Juan

RIICO-17601 Requerimiento de proveeduría de

las grandes empresas hacia las PYMES en el

Estado de San Luis Potosí.

RIICO-13103 Liderazgo En Un Centro De Atención

Telefónica De Una Empresa Comercializadora Y

Distribuidora De Energía Eléctrica En El Noroeste

é

RIICO-13204 Influencia Del Género En La

Selección De Estrategias Corporativas

RIICO-12305 El Impacto Del Aprendizaje

Significativo A Partir Del Enfoque De

Competencias: Caso Aplicado En Educación

RIICO-3304 Desarrollo Regional, Migración y Uso

Productivo de los Remesólares en Michoacán

RIICO-21708 Estrategias Financieras En Las

Empresas Familiares En Colima

18:00 Hrs - Reunión de Proyectos en Red- en Salón Sevilla

Hernández García Patricia Cerecer Castro Bayardo Flores Novelo Anel Reyes Fong Teodoro

Borjas García Edgardo Saavedra Cota María Elena Vaillant Yancy Torres Valdivieso Eugenia Acevedo Nieto Carlos Antonio Flores Félix Rogelio

• Área del conocimiento: Competitividad en la industria y asuntos tecnológicos

• Temática: Lean Design For Six Sigma: an Integrated Approach to Achieving

Product Reliability and Low-Cost Manufacturing.

• Nombre de autores:

o Dr. Jesus Gerardo Cruz Alvarez

o Berenice Méndez Sáenz (Candidata a Doctora)

• Institución a la que se representa: Facultad de Contaduría Pública y

Administración de la Universidad Autónoma de Nuevo León

• Domicilio: Avenida Universidad s/n, Cd. Universitaria, San Nicolás de los Garza

• Numero de teléfono: (81) 1340 – 4430 y (81) 8329 - 4080.

• Fax: (81) 8376 - 7025

• Correo electrónico: [email protected]

• Dirección para correspondencia: Frida Kahlo 4416. Priv. Portal de Cumbres,

C.P. 64346, Monterrey, N.L.

Lean Design For Six Sigma: an Integrated Approach to Achieving Product Reliability and Low-Cost

Manufacturing.

Abstract

The aim of this study is to discuss new product development based on a traditional stage-gate

process and to examine how new product development [NPD] tools, such as lean design for

Six Sigma, can accelerate the achievement of the main goals of NPD: reliable product

quality, cost-effective implementation, and desired time-to-market. These new tools must be

incorporated into a new approach to NPD based on the Advanced Product and Quality

Planning methodology.

Key words: Design for Six Sigma, Analysis of variance (ANOVA), Industrial

experimentation, Robust design, DMAIC.

Resumen

El objetivo de la presente investigación es la promoción de una discusión teórica y practica

sobre el enfoque tradicional de lanzamiento de nuevos productos bajo la metodología por

fases. Una revisión a profundidad cómo las nuevas herramientas del desarrollo de nuevos

productos en lo particular el diseño para seis sigma puede acelerar el tiempo de respuesta al

mercado de forma exitosa y a una relación atractiva de costo – beneficio. Las nuevas

herramientas pueden ser incorporadas dentro de la estrategia de desarrollo de nuevos

productos bajo el enfoque de planeación avanzada de la calidad de nuevos productos.

Palabras clave: Diseño para seis sigma, análisis de varianza, experimentación industrial,

diseño robusto, metodología DMAIC.

Introduction

In today’s market and business environment, new product development is one of the key

operations of a firm. Evolving market dynamics require new products to be innovative and

competitively priced and to use sustainable technologies; meanwhile, firms require NPD to

be cost-effective and to have an optimal time-to-market cycle.

NPD performance from a global perspective is most easily measured as the number of patents

obtained per country and the amount of investment in R&D (research and development).

(OCDE, 2012), the top ten economies in terms of the number of patents granted are almost

identical to the top ten in terms of R&D investment (see Figs. 1 and 2).

Figure No. 1. New Granted Patents (OCDE, 2012).

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Figure No. 2. R&D Spending (OCDE, 2012).

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NPD follows a traditional approach that begins with identifying a new idea or concept for a

new product and continues with design, industrialization, testing, validation and sales.

However, due to increasing market competitiveness, firms must incorporate advanced

processes for new product development, such as APQP (advanced product quality planning)

and LDFSS (Lean Design for Six Sigma).

Methodology

This research paper is based on the theoretical background presented in peer-reviewed

scientific research papers during the period 1990–2012. In the second section of this study,

the author provides examples of the proposed tools and of advanced techniques to show

evidence that validates the hypothesis.

New product development framework

In terms of its function and process, NPD represent a key strategic area for every firm. NPD

is related to business intelligence; R&D, marketing, product phase in and phase out strategy,

and innovation, among other capabilities (see Fig. 3).

Figure No. 3. NPD Conceptual Diagram (by Cruz, J.).

NDP

(New Product

Development )

Business Intelligence

Market KPI (Key Process Indicators )

Innovation

Product Competitive StrategyProduct Sustainability

R &D

(Research and Development )

LDFSS

(Lean Design for Six Sigma )

EOL

(End of Life Strategy )

Model development and hypothesis

The main goal of this study is to present practical evidence that LDFSS can be introduced

into the NPD process to accelerate the achievement of its primary goals: reliable product

quality and low-cost manufacturing (see Fig. 4).

Figure No. 4. Hypothesis Framework (by Cruz, J.).

Theoretical background

Some organizations have reported NPD to be one of the top three that have received the

most attention, as proposed by Goetsch, D.L. and Davis, S.B. (2010), and have suggested

that its success depends on design expertise and research and development capabilities in

addition to the necessary input from different functional areas, as mentioned by Afonso, P.,

et al. (2008), Handfield, R.B., et al. (2008) and Plambeck, N. (2011). Typically, different

functional areas work simultaneously during this process.

In the early stages of new product development, a cross-functional team must provide

feedback on the design and help the firm to achieve a cross-validated industrial design. The

key parties involved in this step include suppliers, manufacturing, and process, quality and

design engineers, as discussed by Rasli Muslimen, A.S.Z.A., et al. (2012).

Communication between R&D and marketing has a highly significant effect on the final

conceptual design, as does the engineers’ expertise in finalizing the industrial design, as

confirmed in a previous study by Chang, H.C. (2011) that examined 138 high-technology

Taiwanese firms and found interaction between NPD teams. Similar theories and discussion

are presented by Griffin, J. (1996), Henderson, S., et al. (2005), and Fernandez, B.I. (2001).

There are some theoretical studies that describes the relationships and business synergy

associated with well-designed, customer-oriented products: Kano, N. (2001), Su, C. (2006),

Fornell, C. (1987), and Cristiano, J., et al. (2000). Firms can also use web-based technology

as a powerful tool that can bring them closer to customers and determine their perceptions

(both positive and negative) of a product. Pioneering web-based technology focused on

consumer perceptions was developed by Park, Y. (2011).

NPD

LDFSS

Product Quality

Reliability and Low Cost

Manufacturing + =

New product development requires customer input, and this knowledge can be extracted

and analyzed using a variety of marketing and customer-driven tools, such as QFD (Voice

of Customer and House of Quality) and customer profile studies.

New product development should be considered a powerful strategy for meeting customer

preferences through customer-focused products. QFD (Quality Function Deployment) is a

customer-driven approach that transforms customer expectations into engineering

requirements and manufacturing process parameters. According to Pang, J., et al. [16],

QFD is extremely important during the product design stage. Working papers and empirical

research proving the effectiveness of QFD during a design gate include Govindalruri, S.M,

Cho, B.R. (2007), Freiesleben, J. (2010) and Sharma, J.r., Rawani, A.M. (2007).

As indicated by Chan, S.L., et al. (2011), new product development includes four major

steps: 1) Opportunity identification, 2) Conceptualization, 3) Product design and

development, and 4) Product launch and commercialization. However, this approach is not

aligned with new business dynamics (see Fig. 5). The goal of this working paper is to

propose that the APQP (Advanced Product Quality Planning) methodology allows a firm to

face design issues at an early stage using different tools and lean design for six sigma. This

approach should make it possible to ensure better design concepts and industrialization

while combining research and development with product and process reliability to create a

lean product design process (see Fig. 6).

Product design and lean product design are two different concepts. Product design is a

traditional approach to new product development that involves obtaining an idea, making

an industrial design, validating the design and launching the product. In contrast, lean

design focuses on reducing the overall product development cost and time to design as well

as ensuring a cost effective product launch, as outlined by Azharul, K., et al. (2011).

Figure No. 5. Stage-Gate Process (Cooper, R.G., 2001).

Idea Generator

Figure No. 6. Advanced Product Quality Planning (APQP, 2007).

Previous discussions by Ulrich, K. (1995), Karim, M.A., et al. (2009), and Cloke, B. (2000)

focus on the idea that organizations compete with regard to product innovation, time-to-

market, and research and development. To remain on the cutting edge, companies must

emphasize quality, cost, productivity and bringing the product to the market. Research and

development, in addition to a focus on reliable product quality, enables lean product design

development. According to Cloke, B. (2000), any type of investment made during the

design stage will be lower than any type of improvement made during the product

manufacturing phase.

Marketing

& Business

Case

Process Design

Product and Process Selection

Planning

Product Design

Innovation

Sustainability Customer

Scoping Business Case

& Plan

Develop ment

Testing and validation

Launch

Research and development, product quality and process reliability are not the only factors

in new product development; speed to market, product quality and cost are alternative

priorities. Recent empirical research by Rodriguez, P., et al. (2005) revealed that consumers

are more influenced by product quality than speed to market; these results are consistent

with previous research by Barker, W.E., and Sinkula, J.M. (2008), and Grinstein, A. (2005).

This customer perspective demands more from organizations, which must conceptualize,

design and launch high-quality products with better process manufacturing reliability than

those of their competitors, according to Kirca, A. and Jayachandran, S., et al. (1995) and

Atuahene, K. (2011).

According to Heinzen, M. and Höflinge, N. (2010) the competitiveness of successful firms

is based on their ability to balance product quality and innovation with cost-effective NPD

and reduced time-to-market cycle time. To achieve cost-effective NPD and a short time-to-

market, firms must implement concurrent LPD (Lean Product Design) strategies.

According to Schulze, A., et al. (2010), Womack, J., & Jones, D. (1996) and Walton, M.

(1999), LPD can be understood as integrating the following steps: 1) specifying customer

value; 2) identifying the value stream; 3) making the value flow; 4) letting the customer

pull; and 5) ensuring continuous improvement.

Competing organizations facing these difficult business dynamics must identify their

technological and human capabilities to determine and achieve key market objectives:

increasing end-product quality and shortening the time-to-market cycle. Heinzen, M. and

Höflinge, N. (2011) found that on-the-job training contributes significantly to the efficiency

of NPD processes and enhances the motivation and skills of the new development team.

Another approach to the NPD process is explained by Grunert, K., et al. (2011), who

suggested that NPD involves key process activities such as 1) consumer insight into the

new product development process; 2) quality perception as a focal construct; 3) market

opportunities and idea generation; 4) consumer acceptance of technology; 5) screening,

concept development and concept testing; and 6) prototype testing. However, this approach

does not consider process design or product and process validation to be part of an

advanced focus on product quality planning.

NPD is mainly driven by cost-effective implementation and profitability. However, for

optimal results, NPD must balance economics, design and ecology. The new eco-design

approach impacts the overall concept of product design and the selection of manufacturing

processes, as highlighted by Grunert, K., et al. (2011).

An alternative to the traditional approach to NDP that is presented by Baril, C., et al. (2011)

and Breyfogle, F. (1999) employs the concept of Six Sigma as a quality philosophy that

involves the use of statistical tools within a structured methodology to obtain the

knowledge needed to out-compete other firms in terms of the quality, time-to-market and

price of their products and services. In addition to the Six Sigma approach, Baril, C., et al.

(2011) presents the key steps in the DFSS (Design for Six Sigma) process: 1) identify, 2)

design, 3) optimize, and 4) validate.

Design for six sigma uses tools such as CTQ (critical to quality) analysis, GD&T

(geometrical design tolerance), FEA (finite element analysis) and process design simulation

to ‘poke-yoke’ the planned design and promote a robust manufacturing process. In addition,

previous studies by Yu, J.-C. & Ishii, K. (1998), Taguchi, G. (1993), Chen, W., Wiecek, M.

M., & Zhang, J. (1999), and Eggert, R. J. (1991) link the use of design for six sigma to

increased product robustness.

CTQ is a common terminology that identifies a critical feature or component of quality.

Once a component is defined as critical to quality, different process control activities must

be conducted to ensure that the component meets the defined specifications; otherwise, the

product may fail the customer.

GD&T is used to define the components’ and features’ required dimensions for perfect

assembly; on the other hand, it also defines the allowable variation between components in

terms of their linear dimensions or datum references.

FEA is an engineering approach used to develop robust engineering products and process

configurations to design to fail-free or fail-safe specifications. According to Afazov, S.M.

(2012), FEA can be used to identify stressed and weakened areas and improve them

accordingly based on the manufacturing process or customer use. The FEA methodology

and its applications to new product development have been discussed by Pietrzyk, M., et al.

(2008) and Jahansson, H. (2004).

The aim of the process design phase is to configure the manufacturing process to suit the

new product design intent; as proposed by Zhenyuan, J., et al. (2011), process design can be

time - and cost - effective when the organization uses special tools and techniques to

develop the manufacturing process, such as the following: layout simulation, experimental

design, expert systems, and the intelligent manufacturing approach, among others.

Results: LDFSS tools applied into APQP Process for NPD

Based on the theoretical background presented in the earlier section, we can focus on key

elements of lean design for six sigma tools that can be introduced into the advanced product

quality planning process for new product development (see Fig. 7).

Figure No. 7. Lean Design for Six Sigma Key Tool (by Cruz, J.) .

I.Marketing & Business Case

V.Product and Process Validation

•Run at Rate

IV.Process Design

•PFMEA

•DOE & SPC

•Prodcess Simulation

III.Product Design

•DFMEA

•FEA •DOE & SPC •GD & T

II. Planning

•Project management

•Quality Function Deployment

The full APQP process includes five stages or gates for the NPD process, with each step

contributing to the main goal of increasing cost effectiveness and optimizing the length of

the time-to-market cycle. Each step in the process includes specific tools, such as project

management, quality function deployment, finite element analysis, design of experiments,

and failure mode and effect analysis. The aim of this APQP case study is to present

evidence of the introduction of key tools from lean design for six sigma into NPD and

indicate the influence of these tools on product quality and reliability.

The following figure (see Fig. 8) contains a waterway for a commercial faucet or service

sink that is composed of three main elements: a brass waterway, a water spout and an o-

ring. To further analyze the potential failure modes while making the product design gate a

useful tool, failure mode and effect analysis can be used (see table. 1). The FMEA process

can be used in the design gate to identify the RPN (risk priority number). In this example,

the failure mode that triggers an RPN 240 occurs when the system begins leaking and may

experience liability issues. This, in turn, occurs when the o-ring loses compression due to

its proximity to a chamfer area.

Figure No. 8. Conceptual Design of a Waterway (by Cruz, J.).

Table No. 1. Design Failure Mode and Effect Analysis.

Description Function

Potential Failure Mode

Potential Failure Effects

SE

V

Potential Causes

OC

C Current

Controls

DE

T

RP

N

O-Ring groove center line too close to lead in chamfer

Waterway

Inproper o-ring compression cause leakage issue

Leakage 8 Inproper o-ring compression

10

To analyse machine process capability and evaluate poke yoke by design.

3 240

Industrial design will identify the overall dimensions of the components and the CTQ

(critical-to-quality) features that may cause issues and that are related to high RPN (see

Figs. 9 and 10). The CTQ characteristic for this waterway is the x-x´ dimension of the o-

ring’s center line and the starting point of the chamfer. This would be the location of the

water leak.

Figure No. 9. Critical Dimensions Related to Industrial Design (by Cruz, J.).

Figure No. 10. Spout Tube and O´ring Leak Free Feature (by Cruz, J.).

Industrial design based on GD&T (geometrical design and tolerance) and DFMEA can be

used to determine the tolerance for each design reference (see Eq. 1). The following

calculation produces the upper and lower limits for the key dimensions.

Equation No. 1. Design Specification for Key Variables A, B and C.

.119.0

.131.0

value)(nominal 0.006.-

125.0

=

=

+=

LSL

USL

A

.744.0

.756.0

value)(nominal 0.006.-

750.0

=

=

+=

LSL

USL

B

.605.0

.645.0

value)(nominal 0.020.-

625.0

=

=

+=

LSL

USL

C

DOE and SPC are state-of-the-art techniques for simulating product performance through

manufacturing (see fig. 11). A process capability study shows evidence of the occurrence of

failure when the system begins to leak. Statistical analysis yields sufficient evidence to

confirm that the key dimension “c” is at a minimum according to the probability plot

analysis, and 3D software can be used to recalculate the minimum “c” (see Fig. 12). To

calculate the delta, it is necessary to take the “c” mean sample value and the standard

deviation (see Eq. 2) to calculate the natural upper limit and subtract from it the nominal

“b” critical delta. The delta can also be shown in a normal histogram plot (see Fig. 13).

CTQ 4

1.A

43.B

85.C

Figure No. 11. Machine Process Capability Analysis (by Cruz, J.).

0,1280,1260,1240,122

Mediana

Media

0,12540,12510,12480,12450,1242

0,7540,7520,7500,748

Mediana

Media

0,7510,7500,749

0,680,660,640,620,60

Mediana

Media

0,6350,6300,6250,6200,615

0,80,60,40,2

99

90

50

10

1

Data

Cu

m P

erce

nta

ge

A

B

C

Variable

Intervalos de confianza de 95%

Statistical Summary A nalysis for Key Variable A .

Intervalos de confianza de 95%

Statistical Summary A nalysis for Key Variable B.

Intervalos de confianza de 95%

Statistical Summary A nalysis for Key Variable C.

Normal - 95% de IC

Probability P lot A nalysis for Key Var iables: A , B and C.

Figure No. 12. Waterway Leak Free Compromised - Failure Mode Occurrence (by Cruz, J.).

Equation No. 2. Delta Calculation to Failure Based on Upper Natural Limit.

( )

.059.0.691.0750.0

.691.0022.03625.0

=−=∆

=+=UNL

CTQ

Figure No. 13. CTQ Condition Based on Random Sampling Analysis (by Cruz, J.).

0,760,720,680,640,60

18

16

14

12

10

8

6

4

2

0

Data

Frec.

B

C

Variable

Histogram for Key Variables: B and C.

Once the machine process capability is known, it can be input into a stack-up tolerance

analysis to calculate the process drift in addition to a safety factor (see Fig. 14 and Eq. 3).

The process drift is 1.63. sigma in addition to a safety factor of 15% to create a larger space

from the upper natural limit of “c” to the lower natural limit of “b”.

This approach focuses on the downsizing strategy of RPN while reducing the opportunity

of failure occurrence; following this approach, RPN decreases from 240 to 48 (see table 2).

The new “c” dimension can be calculated accordingly (see Eq. 4) and theoretical new cross

section of “c”. An illustrative histogram plot of the new redesigned “c” versus old “c” is

shown on Fig. 16.

Figure No. 14. Tolerance Analysis for Key Dimension C (Based on CTQ condition) (by Cruz, J.).

0,1300,1280,1260,1240,1220,120

LEI LES

Dentro de

General

0,7560,7540,7520,7500,7480,7460,744

LEI LES

Dentro de

General

0,680,660,640,620,600,58

LEI LES

Dentro de

General

0,680,660,640,620,600,580,56

No paramétrico

Normal

0,680,640,600,56

0,690,660,630,600,57

99

90

50

10

1

Porcentaje

Process Capability A nalysis for Key Var iable A . Process Capability A nalysis Key Var iable B.

Process Capability A nalysis for Key Var iable C. T olerance Interval A nalysis for Key Var iable C.Intervalo de tolerancia de 95%

Al menos 95% de la población cubierto

Gráfica de probabilidad normal

Equation No. 3. Process Drift Calculation for Revised C Including Safety Factor of 15%.

.87.115.1*63.1

.63.1022.0

681.0645.0

%15 σσ

σ

==

=

−=

sfPD

PD

Table No. 2. DFMEA Revaluation (Effect on RPN).

Actions Recommended Resp. Actions Taken

SE

V

OC

C

DE

T

RP

N

To incorporate a safety factor on feature to eliminate the risk of failure mode

Design Eng. Safety factor implemented

8 2 3 48

Figure No. 15. Conceptual Design for Revised Key Variable Dimension of C (by Cruz, J.).

Equation No. 4. Tolerance Design Review for C Based on CTQ Including Safety Factor.

.563.0

.603.0

02.0583.0

.583.0)022.0(87.1625.0

87.1625.0

*

*

*

*

*

=

=

−+=

=−=

−=

LSLC

USLC

C

C

C σ

CTQ

Figure No. 16. Theoretical Analysis for Revised Key Variable Dimensions of C (by Cruz, J.).

Discussion

This study presented the theoretical background on the NPD process and related functions

in today’s organizations as it relates to competition. NPD was identified as one of the top

priorities of every firm, which is why the NPD process must be optimized and oriented

toward customers to ensure the quality and reliability of products while minimizing

manufacturing costs. To fully deploy all NPD tools requires basic steps such as the

following: marketing and planning, design, process, product process validation and the

integration of operations from a concurrent engineering standpoint.

Lean design tools can easily be introduced into the advanced product quality planning

process to ensure the implementation of cost-effective new product development processes

intended to ensure product and process reliability and minimize failure during the design

stage. This approach will significantly impact goals regarding product quality and

reliability and customer expectations.

The effect on timing and cost is greatly appreciated by top management, and it is well

known throughout the firm when a strong, reliable product is launched that it is flawless.

All departments involved in the introduction of new products are aligned with the top

priorities: 1) safe launch, 2) reliable product quality, 3) timing, and 4) budget. Although

these four priorities appear to be opposing, they that must be met concurrently to ensure a

successful NPD launch.

The case study presents a typical, straightforward design. Even when the design and

development stages are complete, there is are opportunities for improvement when the new

0,760,720,680,640,60

18

16

14

12

10

8

6

4

2

0

Dat a

Fr ec.

B

C

Va ria b le

0 ,750,720 ,69 0,660 , 630,600 ,570,54

30

25

20

15

10

5

0

Dat a

F rec.

B

N ew

C

Va ria b leHi stogram

for

Key

Variabl es:

B

and

C.

Hi stogram

f o r

Key

Vari ables

B

and

C *.

product enters the manufacturing process, as it is possible to address the potential for

failure due to leaks. This case study shows the application of the traditional stage-gate

process, which employs a very basic concept of a safe NPD launch, but not the application

of the advanced product quality planning framework, which aims for a flawless and cost-

effective NPD launch.

The NPD tool kit integrates DFMEA, CTQ, FEA, DOE, and simulation, among others,

which are used in the advanced product quality planning framework. In the case study, the

RPN decreased from 240 to 48. Although the potential for failure remains, the occurrence

of failure was reduced to a parts per million measure in the single digits, which indicated

that excellence in manufacturing and reliable product quality had been achieved in addition

to low-cost manufacturing. The tools work, and the knowledge is there; top management

must simply support the use of this approach to ensure successful NPD launches. Using this

approach will earn firms high recognition among end consumers due to their product

quality and readiness for manufacturing.

About the authors

Dr. Jesus Cruz has a BSc. in Industrial Engineering, a Master’s degree in Quality

Engineering, a Master’s degree in Operations Management, and a PhD in Operations

Management from UANL – Mexico. He is a member of CONACYT SNI – Mexico

National System of Scientists No. 32747. He is an executive member of ASQ – Monterrey

Chapter and a senior member of ASQ USA No. 63389331. In addition, he is an evaluator

for the Nuevo Leon State Quality Award and a research professor in the Business College

at UANL-Mexico. He has more than 14 years of experience in the automotive industry,

having filled a range of managerial positions in operations. Email:

[email protected].

MSc. Berenice Mendez is a Bsc Industrial engineering, Master´s degree in Science.

Currently enrolled in PhD Program at UANL, Mx. She has been working as a finance

executive and teacher at undergraduate programs in engineering.

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