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Simulation of Manufacturing Process Using R Simmer
Moses Gummadi
Moses Gummadi
Welcome to "Simulation of Manufacturing Process 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 Discrete Event Simulation, Manufacturing Process Analysis, 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.
Register for this course and see more details by visiting:
OpenCourser.com/course/i27v81/simulation
What's inside
Syllabus
Project Overview
Welcome to "Simulation of Manufacturing Process 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 Discrete Event Simulation, Manufacturing Process Analysis, 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
Introduces discrete event simulation, manufacturing process analysis, and statistical variables used in simulations
Covers creating process trajectory, defining and assigning resources, and defining arrivals in simulations
Teaches how to run simulations in R, store results, plot charts, and interpret the results
Suitable for those with no prior knowledge of simulation or R programming
Provides hands-on experience through a project-based approach
Taught by instructors with expertise in simulation and manufacturing, Moses Gummadi
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Reviews summary
Beginner's guide to r simmer simulation
According to students, this course offers a clear explanation of the steps involved in model building simulations using the R Simmer package. Learners also say that the course is well structured and provides insight into interpreting the results of a simulation.
Well organized course materials.
"The course is well structured, explaining each of the model building steps clearly."
Limited access to course materials after completion.
"The course was blocked after I finished, so I can't revise it now that I need to use Simmer for my research."
Activities
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We're preparing activities for
Simulation of Manufacturing Process Using R Simmer.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Simulation of Manufacturing Process Using R Simmer will develop knowledge and skills
that may be useful to these careers:
Simulation Engineer
Simulation Engineer
Simulation Engineers plan and conduct simulations and experiments to predict the performance of complex systems and solve engineering problems. With this course's introduction to Discrete Event Simulation (DES) and knowledge of manufacturing processes, you'll gain a solid foundation for a career in Simulation Engineering. This course will help you build skills in defining statistical variables, process trajectories, resources, and arrivals for use in simulation models.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers improve the efficiency of production processes. This course's coverage of Discrete Event Simulation and manufacturing process analysis will provide you with a strong foundation in the tools and techniques used by Manufacturing Engineers. You'll learn how to use R Simmer, a powerful software tool for simulating manufacturing processes, to identify bottlenecks and improve production efficiency.
Data Analyst
Data Analyst
Data Analysts apply analytical and statistical methods to data in order to extract meaningful insights. The skills you'll develop in this course, such as creating statistical variables and analyzing simulation results, will provide a solid foundation for a career as a Data Analyst. You'll also gain experience using R and RStudio, essential tools for data analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in business and industry. This course's introduction to Discrete Event Simulation and manufacturing process analysis will provide you with a solid foundation for a career as an Operations Research Analyst. You'll learn how to use simulation to model and analyze complex systems, and how to use optimization techniques to improve performance.
Quality Control Engineer
Quality Control Engineer
Quality Control Engineers ensure that products and services meet quality standards. This course's coverage of manufacturing process analysis and simulation will provide you with a strong foundation in the tools and techniques used by Quality Control Engineers. You'll learn how to use simulation to identify and eliminate defects in manufacturing processes.
Industrial Engineer
Industrial Engineer
Industrial Engineers improve the efficiency of industrial processes. This course's coverage of Discrete Event Simulation and manufacturing process analysis will provide you with a strong foundation in the tools and techniques used by Industrial Engineers. You'll learn how to use simulation to model and analyze industrial processes, and how to use optimization techniques to improve efficiency.
Business Analyst
Business Analyst
Business Analysts analyze business processes and recommend improvements. This course's introduction to Discrete Event Simulation and manufacturing process analysis will provide you with a solid foundation for a career as a Business Analyst. You'll learn how to use simulation to model and analyze business processes, and how to use optimization techniques to improve performance.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course's coverage of simulation and manufacturing process analysis will provide you with a strong foundation in the tools and techniques used by Project Managers. You'll learn how to use simulation to model and analyze projects, and how to use optimization techniques to improve project performance.
Systems Analyst
Systems Analyst
Systems Analysts design, develop, and implement computer systems. This course's introduction to Discrete Event Simulation and manufacturing process analysis will provide you with a solid foundation for a career as a Systems Analyst. You'll learn how to use simulation to model and analyze complex systems, and how to use optimization techniques to improve performance.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course's coverage of simulation and manufacturing process analysis may be useful for Software Engineers who are working on developing software for manufacturing or industrial applications.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems. This course's introduction to Discrete Event Simulation and manufacturing process analysis may be useful for Data Scientists who are working on developing data-driven solutions for manufacturing or industrial applications.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course's coverage of simulation and manufacturing process analysis may be useful for Statisticians who are working on developing statistical models for manufacturing or industrial applications.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. This course's coverage of simulation and manufacturing process analysis may be useful for Economists who are working on developing economic models for manufacturing or industrial applications.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course's coverage of simulation and manufacturing process analysis may be useful for Financial Analysts who are working on developing financial models for manufacturing or industrial companies.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course's coverage of simulation and manufacturing process analysis may be useful for Marketing Managers who are working on developing marketing campaigns for manufacturing or industrial products.
For more career information including salaries, visit:
OpenCourser.com/course/i27v81/simulation
Reading list
We've selected seven 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 Manufacturing Process Using R Simmer.
Provides a comprehensive overview of simulation modeling and analysis, including concepts, techniques, and applications. It valuable reference for both beginners and experienced practitioners.
Save
Covers discrete event simulation. It provides a good overview of the different aspects of simulation and good reference for understanding the challenges and applications of simulation.
Classic textbook on discrete-event simulation. It covers the fundamental concepts and techniques of simulation, and provides numerous examples and exercises.
Covers the theory and application of discrete event simulation. It covers a wide range of topics from modeling to analysis and great reference for understanding the fundamentals of simulation.
Covers simulation for manufacturing systems. It provides a good overview of the different aspects of manufacturing simulation and good reference for understanding the challenges and applications of simulation in this domain.
Provides a comprehensive overview of discrete-event simulation. It covers the fundamental concepts and techniques of simulation, and includes numerous examples and exercises.
Provides a comprehensive overview of simulation modeling and analysis for manufacturing systems. It covers a wide range of topics, including process mapping, data analysis, and lean manufacturing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i27v81/simulation
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Introduces discrete event simulation, manufacturing process analysis, and statistical variables used in simulations
Covers creating process trajectory, defining and assigning resources, and defining arrivals in simulations
Teaches how to run simulations in R, store results, plot charts, and interpret the results
Suitable for those with no prior knowledge of simulation or R programming
Provides hands-on experience through a project-based approach
Taught by instructors with expertise in simulation and manufacturing, Moses Gummadi
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