Manufacturing Process Control II from edX

As part of the Principles of Manufacturing MicroMasters program, this course will build on statistical process control foundations to add process modeling and optimization.Building on formal methods of designed experiments, the course develops highly applicable methods for creating robust processes with optimal quality.

We will cover the following topics:

Evaluating the causality of inputs and parameters on the output measures
Designing experiments for the purpose of process improvement
Methods for optimizing processes and achieving robustness to noise inputs
How to integrate all of these methods into an overall approach to process control that can be widely applied
Developing a data-based statistical ability to solving engineering problems in general

The course will conclude with a capstone activity that will integrate all the Statistical Process Control topics.

Develop the engineering andmanagement 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 earn the MicroMasters Credential and qualify to apply to gain credit for MIT’s Master of Engineering in Advanced Manufacturing & Design program.

What's inside

Learning objectives

Multivariate regression for input-output causality
Design of experiments (doe) methods to improve processes

Response surface methods and process optimization based on doe methods
Doe-based methods for achieving processes that are robust to external variations

Multivariate regression for input-output causality
Design of experiments (doe) methods to improve processes
Response surface methods and process optimization based on doe methods
Doe-based methods for achieving processes that are robust to external variations

Good to know

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Builds engineering and management skills for manufacturing innovation

Covers statistical process control foundations, adding process modeling and optimization

Emphasizes optimizing processes and robustness to external variations

Introduces highly applicable methods for creating robust processes with optimal quality

Provides data-based statistical methods for solving engineering problems

Evaluates causality of inputs and parameters on output measures

Offers a capstone activity that integrates all the Statistical Process Control topics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Manufacturing Process Control II with these activities:

Review your notes and assignments from previous courses

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Refreshing your knowledge from previous courses will help you recall the foundational concepts needed for this course.

Browse courses on Statistical Process Control (SPC)

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Find your notes and assignments from previous courses related to SPC
Review the material thoroughly
Identify any areas where you need further review

Review the book 'Statistical Quality Control' by Montgomery

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This book provides a comprehensive overview of SPC principles and techniques. Reviewing it will help you build a strong foundation in the subject.

View Time Series Forecasting on Amazon

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Read the book's introduction and first chapter
Review the chapters on SPC tools and techniques
Read the case studies and examples

Follow online tutorials on SPC

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Online tutorials provide a structured and interactive way to learn about SPC. Following them will help you build your knowledge and skills.

Browse courses on Statistical Process Control (SPC)

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Find reputable online tutorials on SPC
Follow the tutorials step-by-step
Complete the exercises and quizzes included in the tutorials

Six other activities

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Design a flowchart for a statistical process control (SPC) system

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Create a flowchart to visualize the steps involved in an SPC system. This will help you understand the process and identify areas for improvement.

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Identify the process to be controlled
Define the control limits
Collect data on the process
Analyze the data and identify trends
Implement corrective actions

Join a study group or online forum for SPC

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Joining a study group or online forum will allow you to connect with other students and discuss SPC concepts.

Browse courses on Statistical Process Control (SPC)

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Find an online forum or study group dedicated to SPC
Introduce yourself and ask questions
Participate in discussions and share your knowledge

Solve practice problems on SPC

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Solving practice problems will help you develop the skills needed to apply SPC in real-world situations.

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Find practice problems online or in textbooks
Solve the problems using the SPC techniques you have learned
Check your answers and identify areas where you need improvement

Attend a workshop or conference on SPC

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Attending a workshop or conference will provide you with the opportunity to learn from experts and network with other professionals in the field.

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Find a workshop or conference on SPC that fits your schedule and interests
Register for the event
Attend the sessions and participate in the activities

Volunteer at an organization that uses SPC

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Volunteering at an organization that uses SPC will give you practical experience and allow you to apply your knowledge in a real-world setting.

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Find an organization that uses SPC and is looking for volunteers
Contact the organization and express your interest
Attend the training provided by the organization
Work on SPC projects under the guidance of experienced professionals

Contribute to an open-source SPC project

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Contributing to an open-source project will give you hands-on experience with SPC and help you deepen your understanding of the subject.

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Find an open-source SPC project to contribute to
Read the project documentation and familiarize yourself with the codebase
Identify a bug or feature to work on
Submit a pull request with your changes

Career center

Learners who complete Manufacturing Process Control II will develop knowledge and skills that may be useful to these careers:

Process Engineer

Process Engineers design, optimize, and improve manufacturing processes. They work to ensure that processes are efficient, productive, and cost-effective. This course's focus on process modeling, optimization, and statistical process control can help Process Engineers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Process Engineer

Quality Engineer

Quality Engineers ensure that products and services meet quality standards. They develop and implement quality control systems, and they work to improve processes to reduce defects and waste. This course's focus on process improvement, optimization, and statistical process control can help Quality Engineers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Quality Engineer

Manufacturing Engineer

Manufacturing Engineers analyze, design, and improve processes for the production of goods. They develop and implement ways to make processes more efficient, productive, and cost-effective. This course's focus on process modeling, optimization, and statistical process control can help Manufacturing Engineers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Manufacturing Engineer

Industrial Engineer

Industrial Engineers design, improve, and install integrated systems for managing industrial production and operations. They work to improve productivity and efficiency, and they develop ways to reduce costs. This course's focus on process modeling, optimization, and statistical process control can help Industrial Engineers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Industrial Engineer

Operations Research Analyst

Operations Research Analysts develop and apply mathematical and analytical techniques to solve complex problems in a variety of industries. They work to improve efficiency, productivity, and profitability. This course's focus on process modeling, optimization, and statistical process control can help Operations Research Analysts build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Operations Research Analyst

Project Manager

Project Managers plan, execute, and close projects. They work to ensure that projects are completed on time, within budget, and to the required quality standards. This course's focus on process modeling, optimization, and statistical process control can help Project Managers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Project Manager

Consultant

Consultants help businesses and organizations improve their performance. They work on a variety of projects, including process improvement, organizational change, and strategic planning. This course's focus on process modeling, optimization, and statistical process control can help Consultants build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Consultant

Risk Manager

Risk Managers identify, assess, and mitigate risks. They work to protect businesses and organizations from a variety of risks, including financial risks, operational risks, and reputational risks. This course's focus on statistical process control and data-based problem solving can help Risk Managers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Risk Manager

Supply Chain Manager

Supply Chain Managers oversee the flow of goods and services from suppliers to customers. They work to ensure that supply chains are efficient, effective, and cost-effective. This course's focus on process modeling, optimization, and statistical process control can help Supply Chain Managers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Supply Chain Manager

Operations Manager

Operations Managers oversee the day-to-day operations of businesses and organizations. They work to ensure that operations are efficient, productive, and cost-effective. This course's focus on process modeling, optimization, and statistical process control can help Operations Managers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Operations Manager

Data Scientist

Data Scientists collect, analyze, and interpret data to help businesses make better decisions. They work with a variety of data sources and use a variety of statistical and analytical techniques. This course's focus on statistical process control and data-based problem solving can help Data Scientists build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help businesses identify and solve problems. They analyze data, develop recommendations, and implement solutions. This course's focus on statistical process control and data-based problem solving can help Business Analysts build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses and organizations make better decisions. They work with a variety of data sources and use a variety of statistical and analytical techniques. This course's focus on statistical process control and data-based problem solving can help Statisticians build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. They work with a variety of data sources and use a variety of statistical and analytical techniques. This course's focus on statistical process control and data-based problem solving can help Data Analysts build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. They work on a variety of projects, including web applications, mobile applications, and enterprise software. This course's focus on statistical process control and data-based problem solving can help Software Engineers build a strong foundation in the tools and techniques they need to succeed in their roles.

See salaries and explore the career path for Software Engineer