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Moses Gummadi
Understand Kanban Production Control
Model Discrete Event Simulations Using R Simmer
Capture Simulation Data, Plot Charts & Interpret Results
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What's inside
Syllabus
Project Overview
Welcome to "Simulation of KANBAN Production Control Using R-Simmer". This is a project-based course which should take about 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will gain introductiory knowledge of KANBAN Production Control, Discrete Event Simulation, be able to use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.
Good to know
Good to know
Know what's good ,
what to watch for , 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
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Save Simulation of KANBAN Production Control Using R Simmer to your list so you can find it easily later:
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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
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
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
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