New Videos

  1. 3P for Manufacturing poster image

    3P for Manufacturing

    Many man­u­fac­tur­ing orga­ni­za­tions strug­gle to launch new prod­ucts or ramp up new process­es smooth­ly and quick­ly. The pro­duc­tion prepa­ra­tion process, or 3P, offers a pow­er­ful approach to achiev­ing prod­uct and process inno­va­tions. Learn the key dif­fer­ences between tra­di­tion­al devel­op­ment approach­es and 3P, its main ben­e­fits, and when it’s com­mon­ly used. Fol­low the step-by-step process to devel­op and test process alter­na­tives, build​“moon­shine” equip­ment, study the 7 flows, apply the 16 catch­phras­es, and devel­op inno­v­a­tive prod­ucts and processes.

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  2. Análisis de Varianza (ANOVA) poster image

    Análisis de Varianza (ANOVA)

    Análi­sis de Var­i­an­za, o ANO­VA por sus siglas en inglés, es un méto­do para com­parar las medias de tres o más mues­tras con el fin de deter­mi­nar si al menos una de ellas difiere estadís­ti­ca­mente de las demás. Apren­da los con­cep­tos clave de estadís­ti­cas como efec­tos prin­ci­pales, inter­ac­ción, influ­en­cia, gra­dos de lib­er­tad, estadís­ti­co F, R cuadra­do y cómo seguir el pro­ce­so paso a paso para realizar ANOVAs de un fac­tor y de dos factores.

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  3. Mejora Continua y Control poster image

    Mejora Continua y Control

    La fase final de un proyec­to DMA­IC es la de Con­tro­lar. Su propósi­to es man­ten­er las solu­ciones imple­men­tadas y pre­venir la recur­ren­cia del prob­le­ma. Para ello, es nece­sario actu­alizar doc­u­men­tos y están­dares, lle­var a cabo capac­ita­ciones y comu­ni­ca­ciones sobre los cam­bios, y com­pro­m­e­terse con el mon­i­toreo con­tin­uo y la mejo­ra del pro­ce­so. En este cur­so, apren­derá cuáles son los entre­gables clave y las activi­dades de la fase de Con­tro­lar que per­miten alcan­zar estos objetivos.

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  4. Instrucción de Trabajo (JI) para Facilitadores poster image

    Instrucción de Trabajo (JI) para Facilitadores

    Instruc­ción de Tra­ba­jo (JI) es un ele­men­to fun­da­men­tal de Lean y el primer cur­so de TWI (Capac­itación Den­tro de la Indus­tria). Su propósi­to es lograr que las per­sonas estén com­ple­ta­mente capac­i­tadas y comien­cen a apor­tar val­or a la orga­ni­zación en el menor tiem­po posi­ble, mien­tras se pre­vienen prob­le­mas que podrían sur­gir por una instruc­ción defi­ciente. La Instruc­ción de Tra­ba­jo (JI) establece un úni­co méto­do ópti­mo para realizar un tra­ba­jo y per­mite que un facil­i­ta­dor trans­fiera conocimien­tos al apren­diz de for­ma ráp­i­da, al mis­mo tiem­po que ver­i­fi­ca su com­pren­sión medi­ante un méto­do sim­ple de cua­tro pasos. La ver­sión para facil­i­ta­dores de este cur­so de Instruc­ción de Tra­ba­jo (JI) puede uti­lizarse para prepararse para su pro­pio cur­so pres­en­cial de 5 días. Ust­ed podrá obser­var un cur­so de Instruc­ción de Tra­ba­jo (JI) en vivo, de 5 días, desar­rol­larse frente a sus ojos, mien­tras Ron Pereira y Roger Bilas guían a 10 estu­di­antes a lo largo de todo el cur­so de 10 horas. Verá cómo los estu­di­antes apren­den y pro­gre­san durante la sem­ana, y tam­bién obser­vará cómo Roger y Ron los apoy­an a lo largo del pro­ce­so. Una vez que haya com­ple­ta­do este cur­so para facil­i­ta­dores, podrá usar la ver­sión para apren­dices de este cur­so para impar­tir su pro­pio cur­so de Instruc­ción de Tra­ba­jo (JI) de 5 días.

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  5. Análisis del Sistema de Medición (MSA) poster image

    Análisis del Sistema de Medición (MSA)

    La variación total de un sis­tema es la suma de la variación real de un pro­duc­to, pro­ce­so o sis­tema, y la variación del sis­tema de medición. El Análi­sis del Sis­tema de Medición (MSA, por sus siglas en inglés) es un méto­do estadís­ti­co uti­liza­do para eval­u­ar si la variación den­tro de nue­stro sis­tema de medición es acept­able. Apren­da cuáles son las cin­co car­ac­terís­ti­cas de un sis­tema de medición, la difer­en­cia entre el MSA de datos de atrib­u­tos y de datos vari­ables, y los pasos para realizar un Estu­dio R&R.

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  6. Practical Problem Solving poster image

    Practical Problem Solving

    Prob­lem-solv­ing is at the heart of con­tin­u­ous improve­ment and busi­ness excel­lence. Eight-step prac­ti­cal prob­lem-solv­ing is a struc­tured but flex­i­ble approach that guides teams through prob­lem def­i­n­i­tion, cause analy­sis, and the devel­op­ment and imple­men­ta­tion of coun­ter­mea­sures. Learn the many inves­tiga­tive tech­niques, sta­tis­ti­cal tools, and guide­lines that form this framework.

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  7. Developing Improvement Project Plans poster image

    Developing Improvement Project Plans

    As we move from the prob­lem def­i­n­i­tion and root cause analy­sis phas­es of a prob­lem-solv­ing project to the improve­ment and imple­men­ta­tion phase, we ask the ques­tion,​“What actions can we take to address the root cause?” Learn the five main activ­i­ties project lead­ers must com­plete to answer this ques­tion, devel­op a plan, and put it into action.

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  8. Design of Experiments poster image

    Design of Experiments

    DOE is a frame­work for plan­ning and con­duct­ing exper­i­ments to study the effects of mul­ti­ple input vari­ables, or fac­tors, on an out­put vari­able, or a response. DOE is wide­ly used in sci­en­tif­ic research, prob­lem solv­ing, and to under­stand com­plex phe­nom­e­na. Learn how and when to use screen­ing DOEs, frac­tion­al DOEs, full fac­to­r­i­al DOEs, opti­miza­tion DOEs, and how DOE fits into the Six Sig­ma DMA­IC approach.

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  9. Process Capability poster image

    Process Capability

    The sta­tis­ti­cal tech­nique of Process Capa­bil­i­ty Analy­sis allows us to eval­u­ate the abil­i­ty of a process to con­sis­tent­ly meet cus­tomer spec­i­fi­ca­tions or tol­er­ances. It does this by com­par­ing the spread and cen­ter­ing of the process dis­tri­b­u­tion to the spec­i­fied lim­its. Learn the ele­ments and steps of Process Capa­bil­i­ty Analy­sis and its impor­tance for con­tin­u­ous improve­ment and Six Sigma.

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  10. Inferential Statistics poster image

    Inferential Statistics

    Hav­ing a sol­id under­stand­ing of the sci­en­tif­ic method and how to study a small sam­ple of data in order to make deci­sions about an entire pop­u­la­tion is what can sep­a­rate excel­lent Con­tin­u­ous Improve­ment Prac­ti­tion­ers from aver­age ones. The infer­en­tial sta­tis­tics course dives into the cen­tral lim­it the­o­rem, z‑scores, graph­i­cal analy­sis, nor­mal­i­ty, and how to con­duct var­i­ous sta­tis­ti­cal hypoth­e­sis tests.

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  11. Addressing Micromanagement poster image

    Addressing Micromanagement

    Effec­tive lead­er­ship requires a bal­ance between focus on the big pic­ture and atten­tion to detail, and between firm guid­ance and empow­er­ing peo­ple to take own­er­ship of their work. Too much guid­ance and atten­tion can become micro­man­age­ment that harms per­for­mance. Learn how to rec­og­nize and address micro­manag­ing behavior.

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  12. Regression poster image

    Regression

    Regres­sion analy­sis is a sta­tis­ti­cal tool for mod­el­ing the rela­tion­ship between a depen­dent vari­able, often referred to as the response vari­able, and one or more inde­pen­dent vari­ables, also called pre­dic­tors or fac­tors. Regres­sion analy­sis plays a key role in ana­lyz­ing data as part of a Six Sig­ma DMA­IC Project.

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  13. Project Selection poster image

    Project Selection

    One of the main respon­si­bil­i­ties of Six Sig­ma prac­ti­tion­ers is to deliv­er impact­ful projects for their orga­ni­za­tions. This requires the skill to select the right top­ic, plan the project, and lead the team. This all begins with Project Selec­tion, a set of struc­tured activ­i­ties to iden­ti­fy the busi­ness need, con­sid­er cus­tomer input, clear­ly define the prob­lem, set objec­tives, iden­ti­fy met­rics, cal­cu­late sav­ings, and more. Learn how to com­bine these ele­ments into a Project Charter.

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  14. Poniendo en práctica el Control Estadístico de Procesos (SPC) poster image

    Poniendo en práctica el Control Estadístico de Procesos (SPC)

    El Con­trol Estadís­ti­co de Pro­ce­sos (SPC, por sus siglas en inglés) es un méto­do para super­vis­ar, con­tro­lar y mejo­rar los pro­ce­sos medi­ante el análi­sis de sus datos a lo largo del tiem­po. El SPC per­mite lograr pro­ce­sos con­sis­tentes y pre­deci­bles al min­i­mizar la vari­abil­i­dad. Apren­da los cin­co pasos para imple­men­tar el Con­trol Estadís­ti­co de Pro­ce­sos, cómo crear un plan de muestreo, definir los tamaños de sub­gru­pos y mues­tras, la difer­en­cia entre datos de atrib­u­tos y datos vari­ables, cómo selec­cionar el tipo ade­cua­do de grá­fi­co de con­trol para su situación y más.

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  15. The Seven Quality Control Tools poster image

    The Seven Quality Control Tools

    The 7 Qual­i­ty Con­trol Tools are an essen­tial set of graph­ing tech­niques that are used to iden­ti­fy and fix prob­lems that under­mine prod­uct or process qual­i­ty. The 7 QC Tools pro­vide con­tin­u­ous improve­ment prac­ti­tion­ers with a sys­tem­at­ic approach for iden­ti­fy­ing and trou­bleshoot­ing qual­i­ty issues. Learn the sev­en qual­i­ty con­trol tools and how to use them with­in your organization.

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  16. ANOVA poster image

    ANOVA

    ANO­VA, or Analy­sis of Vari­ance, is a method for com­par­ing the means of three or more sam­ples to deter­mine if at least one of the sam­ple means dif­fers sta­tis­ti­cal­ly from the oth­ers. Learn the key sta­tis­tics con­cepts of main effects, inter­ac­tion, influ­ence, degrees of free­dom, the F‑statistic, R‑squared, and how to fol­low the step-by-step process for con­duct­ing one-way and two-way ANOVAs.

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  17. Measurement System Analysis (MSA) poster image

    Measurement System Analysis (MSA)

    The total vari­a­tion of a sys­tem is the sum of the actu­al vari­a­tion of a prod­uct, process, or sys­tem and the mea­sure­ment sys­tem vari­a­tion. MSA, or Mea­sure­ment Sys­tem Analy­sis, is a sta­tis­ti­cal method to ana­lyze whether the vari­a­tion with­in our mea­sure­ment sys­tem is accept­able. Learn the five char­ac­ter­is­tics of a mea­sure­ment sys­tem, the dif­fer­ence between attribute and vari­able data MSA, and the steps to con­duct and per­form a Gage R&R.

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  18. Fault Tree Analysis poster image

    Fault Tree Analysis

    (Updat­ed Course)-Fault Tree Analy­sis is a top-down, deduc­tive approach to under­stand­ing how a series of low­er-lev­­el events can result in an unde­sired event, acci­dent, or equip­ment fail­ure. This dia­gram uses a set of sym­bols to rep­re­sent for­mal log­ic and to assign prob­a­bil­i­ties. Per­form­ing Fault Tree Analy­sis helps us to under­stand how spe­cif­ic sys­tems can fail, assign risk rates, and iden­ti­fy the best ways to reduce these risks.

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  19. FMEA AIAG and VDA poster image

    FMEA AIAG and VDA

    (Updat­ed Course)-Failure Mode and Effects Analy­sis, or FMEA, is a method for eval­u­at­ing poten­tial tech­ni­cal risks of fail­ures for prod­ucts or process­es. Learn why the AIAG & VDA orga­ni­za­tions made major updates to the FMEA approach, the eight major changes to this approach, and how it helps orga­ni­za­tions in the auto­mo­tive indus­try become more effec­tive at risk management.

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  20. Temas Introductorios poster image

    Temas Introductorios

    Una breve intro­duc­ción a la mejo­ra con­tin­ua. Des­cubra qué es Lean, por qué es impor­tante y cómo sen­tar las bases para un via­je Lean exitoso.

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