• Duración:
    8 semanas
  • Dedicación:
    10–12 horas por semana
  • Precio:

    GRATIS
    Agregar un Certificado Verificado por $175 USD

  • Institución
  • Tema:
  • Nivel:
    Intermediate
  • Idioma:
    English
  • Transcripción de video:
    English
  • Tipo de curso:
    Al ritmo del instructor

Programas asociados:

Prerrequisitos

Engineering Undergraduate preparation; some knowledge of basic manufacturing processes. Knowledge or probability theory is helpful but not necessary.

Sobre este curso

Omitir Sobre este curso

Randomness is inherent in all processes including manufacturing. The fundamental concepts taught in this course will help learners develop powerful statistical process control methods that are the foundation of world-class manufacturing quality.

As part of the Principles of Manufacturing MicroMasters program, this course will introduce statistical methods that apply to any unit manufacturing process. We will cover the following topics:

  • Recognizing inherent variability in continuous production
  • Identifying sources of process output variation
  • Describing variation in a structured manner
  • Applying basic probability and statistics concepts to characterize process variation
  • Differentiating between design specifications and process capability
  • Synthesizing novel approaches to unfamiliar situations by extending the core material (i.e. go beyond the “standard” uses).
  • Assessing the appropriateness of various statistical methods for a variety of problems

Develop the engineering and management skills needed for competence and competitiveness in today’s manufacturing industry with the Principles of Manufacturing MicroMasters Credential, designed and delivered by MIT’s #1-ranked Mechanical Engineering department in the world. Learners who pass the 8 courses in the program will earn the MicroMasters Credential and qualify to apply to gain credit towards MIT’s Master of Engineering in Advanced Manufacturing & Design program.

Lo que aprenderás

Omitir Lo que aprenderás
  • Variation modeling using the theory of Random Processes
  • Statistical Process Control (SPC) foundations and applications
  • Xbar, EWMA, CUSUM and discrete event methods for detecting process problems
  • Methods for analyzing process changes by looking at general process physics
  • How to apply these methods to achieve world-class quality in unit manufacturing processes

Conoce a tus instructores

David Hardt
Ralph E. and Evelyn F. Cross Professor of Mechanical Engineering
Massachusetts Institute of Technology
Duane Boning
Co-Director, MIT Leaders for Global Operations Program
Massachusetts Institute of Technology

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Testimonios de los estudiantes

From the on-campus version:

“2.830 lectures are immensely helpful in my day to day job responsibilities. I can now better understand the concepts of quality and drive quality improvements based on that.”

“Thanks – I use 2.830 everyday!”

"We're talking about process capability Cpk, we're talking about AQL sampling, we're talking about how we will know if vendor and internal processes are stable, etc. Real life application of the stuff I learned from 2.830!"

Preguntas frecuentes

For more information, please see the POM FAQ Page.

¿Quién puede hacer este curso?

Lamentablemente, las personas de uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.