We may earn an affiliate commission when you visit our partners.
Moses Gummadi
Understand Kanban Production Control
Model Discrete Event Simulations Using R Simmer
Capture Simulation Data, Plot Charts & Interpret Results
Register for this course and see more details by visiting:
OpenCourser.com/course/cgiqhz/simulation
Two deals to help you save
Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until July 14
Coursera Plus Annual
Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.
Up to
40%
off
Get offer
Valid until August 30
Google AI App Builder
Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind
Take
100%
off
Get offer
What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Builds a strong foundation for beginners in conceptualizing and modeling real-world Kanban Production Control Systems in a discrete event simulation framework
Provides a practical approach to learning Kanban Production Control and Discrete Event Simulation using R-Simmer
Develops core skills in statistical variable definition, process trajectory definition, resource allocation, and arrival definition
Explores the use of R-Simmer library, which is specifically designed for Discrete Event Simulation
Suitable for learners interested in improving their understanding of Kanban Production Control and Discrete Event Simulation
Taught by Moses Gummadi, who is recognized for his work in Discrete Event Simulation
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Kanban simulation with r simmer project
According to students, this concise project-based course provides an excellent introduction to Discrete Event Simulation using the R Simmer library, specifically applied to Kanban production control. Learners frequently praise the hands-on approach and the practical applicability of the concepts and code, finding it highly valuable for professionals. While the instructor explains concepts clearly and the project is well-structured, some students note that the pace can be fast and a basic R background is essential to avoid difficulties, as it doesn't offer a deep dive into R fundamentals or advanced simulation theory.
Delivers specific skills without extensive theoretical depth.
"The course is concise, to the point, and the code examples are robust."
"It's not a deep dive into advanced simulation techniques, but for a short project, it delivers exactly what it promises..."
"I would have liked a bit more explanation on the underlying statistical concepts behind the simulation, but for a project, it's fine."
Effectively teaches through a hands-on, end-to-end simulation project.
"The hands-on project really solidifies understanding."
"Fantastic project. It took me through the entire process of setting up a Kanban simulation in R from scratch."
"Very focused and practical. The project-based approach works well for a topic like this."
Focuses on real-world application with R Simmer.
"This course is an excellent introduction to using R Simmer for discrete event simulation, specifically applied to Kanban."
"I found the examples very practical and immediately applicable to my work in operations."
"It's great for professionals who need to quickly grasp the practical side of this topic without getting bogged down in too much theory."
Assumes prior basic knowledge of the R programming language.
"It does assume some basic R knowledge, which was fine for me."
"My only minor critique is that sometimes the pace felt a bit fast for someone completely new to simulation..."
"While it explains Simmer, I felt like I needed more pre-requisite knowledge in R than implied."
"If you're not an experienced R user, you might get lost."
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 Simulation of KANBAN Production Control Using R Simmer with these
activities:
Review Kanban Fundamentals
Show steps
Refresh your understanding of Kanban principles and methodologies to build a solid foundation for the course.
Browse courses on
Kanban
Show steps
-
Revisit books or articles on Kanban
-
Create a summary of key concepts
-
Discuss Kanban with colleagues or peers
Practice with R Simmer Package
Show steps
Enhance your proficiency in using R Simmer package to prepare for the simulation tasks in the course.
Browse courses on
Discrete Event Simulation
Show steps
-
Follow online tutorials on R Simmer
-
Experiment with sample simulations
-
Build a simple simulation model
Create a Visual Guide to Kanban Production Control
Show steps
Create a visual representation of Kanban production control to enhance your understanding and recall of its principles.
Browse courses on
Production Control
Show steps
-
Choose appropriate visualization tools or software
-
Design a visual representation of Kanban process
-
Share your visual guide with peers for feedback
Four other activities
Expand to see all activities and additional details
Show all seven activities
Mentor a Peer in Kanban Implementation
Show steps
Reinforce your learning by sharing your knowledge and helping others understand and implement Kanban principles.
Browse courses on
Mentorship
Show steps
-
Identify a mentee who seeks guidance in Kanban
-
Share your understanding and best practices
-
Provide support and feedback
Analyze Simulation Results and Interpret Data
Show steps
Practice analyzing simulation data and drawing meaningful conclusions to strengthen your understanding of simulation outcomes.
Browse courses on
Data Analysis
Show steps
-
Study statistical methods for analyzing simulation results
-
Conduct practice analysis on sample data sets
-
Interpret and present simulation findings
Participate in an Online Simulation Challenge
Show steps
Put your simulation skills to the test and learn from others in a competitive environment.
Browse courses on
Discrete Event Simulation
Show steps
-
Research online simulation challenges
-
Form a team or participate individually
-
Develop and optimize a simulation model
Contribute to an Open-Source Discrete Event Simulation Project
Show steps
Deepen your understanding of simulation techniques by contributing to and learning from an active open-source project.
Browse courses on
Open Source
Show steps
-
Identify suitable open-source projects
-
Read documentation and codebase
-
Make a code contribution or report an issue
Review Kanban Fundamentals
Show steps
Refresh your understanding of Kanban principles and methodologies to build a solid foundation for the course.
Browse courses on
Kanban
Show steps
Show steps
Show steps
- Revisit books or articles on Kanban
- Create a summary of key concepts
- Discuss Kanban with colleagues or peers
Practice with R Simmer Package
Show steps
Enhance your proficiency in using R Simmer package to prepare for the simulation tasks in the course.
Browse courses on
Discrete Event Simulation
Show steps
Show steps
Show steps
- Follow online tutorials on R Simmer
- Experiment with sample simulations
- Build a simple simulation model
Create a Visual Guide to Kanban Production Control
Show steps
Create a visual representation of Kanban production control to enhance your understanding and recall of its principles.
Browse courses on
Production Control
Show steps
Show steps
Show steps
- Choose appropriate visualization tools or software
- Design a visual representation of Kanban process
- Share your visual guide with peers for feedback
Four other activities
Expand to see all activities and additional details
Show all seven activities
Mentor a Peer in Kanban Implementation
Show steps
Reinforce your learning by sharing your knowledge and helping others understand and implement Kanban principles.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify a mentee who seeks guidance in Kanban
- Share your understanding and best practices
- Provide support and feedback
Analyze Simulation Results and Interpret Data
Show steps
Practice analyzing simulation data and drawing meaningful conclusions to strengthen your understanding of simulation outcomes.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Study statistical methods for analyzing simulation results
- Conduct practice analysis on sample data sets
- Interpret and present simulation findings
Participate in an Online Simulation Challenge
Show steps
Put your simulation skills to the test and learn from others in a competitive environment.
Browse courses on
Discrete Event Simulation
Show steps
Show steps
Show steps
- Research online simulation challenges
- Form a team or participate individually
- Develop and optimize a simulation model
Contribute to an Open-Source Discrete Event Simulation Project
Show steps
Deepen your understanding of simulation techniques by contributing to and learning from an active open-source project.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify suitable open-source projects
- Read documentation and codebase
- Make a code contribution or report an issue
Career center
Learners who complete Simulation of KANBAN Production Control Using R Simmer will develop knowledge and skills
that may be useful to these careers:
Industrial Engineer
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems of people, materials, and equipment. Individuals interested in roles such as this can leverage this course to learn about discrete event simulations. These are used to assess the productivity of a system, and can be applied to a variety of industries.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers apply engineering design principles to manufacturing processes for products. They research, design, develop, test, and implement manufacturing tools, processes, and systems. They are involved in planning and implementing production activities. This course offers a strong foundation in modeling discrete event simulations, which can be used to improve manufacturing systems.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use advanced analytical techniques to help organizations make better decisions. They use mathematical and statistical models to analyze complex systems and recommend solutions to problems. This course provides a strong foundation in discrete event simulations, which are used to model and analyze complex systems.
Production Manager
Production Manager
Production Managers plan, direct, and coordinate the production of goods and services in industrial and manufacturing settings. They oversee the production process, ensuring that products are produced efficiently and meet quality standards. This course provides a foundation in modeling and analyzing production systems, which can help Production Managers optimize their operations.
Quality Assurance Manager
Quality Assurance Manager
Quality Assurance Managers oversee the implementation of quality control measures in manufacturing and production processes. They are responsible for ensuring that products meet safety and quality standards. This course provides a foundation in discrete event simulations, which can be used to model and analyze quality control processes.
Process Improvement Specialist
Process Improvement Specialist
Process Improvement Specialists identify and implement ways to improve business processes. They work with teams to analyze processes, identify inefficiencies, and develop solutions to improve outcomes. This course provides a foundation in discrete event simulations, which can be used to model and analyze business processes.
Supply Chain Analyst
Supply Chain Analyst
Supply Chain Analysts are responsible for planning, coordinating, and managing the flow of goods and services from suppliers to customers. They work to improve efficiency and profitability across the supply chain. This course provides a foundation in modeling and analyzing supply chains, which can help Supply Chain Analysts optimize their operations.
Logistics Manager
Logistics Manager
Logistics Managers plan, implement, and coordinate the movement of goods and services from suppliers to customers. They work to ensure that goods are delivered efficiently and cost-effectively. This course provides a foundation in modeling and analyzing logistics systems, which can help Logistics Managers optimize their operations.
Transportation Manager
Transportation Manager
Transportation Managers plan, implement, and coordinate the movement of people and goods. They work to ensure that transportation is efficient and cost-effective. This course provides a foundation in modeling and analyzing transportation systems, which can help Transportation Managers optimize their operations.
Warehouse Manager
Warehouse Manager
Warehouse Managers plan, implement, and coordinate the storage and distribution of goods. They work to ensure that goods are stored and distributed efficiently and cost-effectively. This course provides a foundation in modeling and analyzing warehouse operations, which can help Warehouse Managers optimize their operations.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They work with businesses to help them make better decisions based on data. This course provides a foundation in statistical analysis, which is essential for Data Analysts.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They work with businesses, governments, and other organizations to help them make informed decisions based on data. This course provides a foundation in statistical analysis, which is essential for Statisticians.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data about markets and consumers. They work with businesses to help them understand their customers and make better marketing decisions. This course provides a foundation in statistical analysis, which is essential for Market Research Analysts.
Financial Analyst
Financial Analyst
Financial Analysts collect, analyze, and interpret financial data. They work with businesses to help them make informed financial decisions. This course provides a foundation in statistical analysis, which is essential for Financial Analysts.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work with insurance companies, pension funds, and other organizations to help them manage risk. This course provides a foundation in statistical analysis, which is essential for Actuaries.
For more career information including salaries, visit:
OpenCourser.com/course/cgiqhz/simulation
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Simulation of KANBAN Production Control Using R Simmer.
Save
Provides a comprehensive overview of Kanban, a lean approach to software development and project management, and how it can be used to improve productivity and efficiency. It valuable resource for anyone who wants to learn more about Kanban or implement it in their own organization.
Provides a gentle introduction to simulation using the R programming language. It valuable resource for anyone who wants to learn more about simulation or use it to solve real-world problems.
Save
Provides a comprehensive overview of the R programming language. It valuable resource for anyone who wants to learn more about R or use it to solve real-world problems.
Save
Provides a quick and easy introduction to Kanban. It valuable resource for anyone who wants to learn more about Kanban or implement it in their own organization.
Provides a practical guide to implementing Kanban in project management. It valuable resource for anyone who wants to learn more about Kanban or implement it in their own organization.
Save
Provides an overview of Kanban as a service, a cloud-based solution for managing projects using Kanban. It valuable resource for anyone who wants to learn more about Kanban or implement it in their own organization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cgiqhz/simulation
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser