We may earn an affiliate commission when you visit our partners.
Moses Gummadi
Welcome to "Multi Echelon Inventory Simulation 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, Multi Echelon Inventory Systems, 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/halu75/multi
What's inside
Syllabus
Project Overview
Welcome to "Multi Echelon Inventory Simulation 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, Multi Echelon Inventory Systems, 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
Teaches skills and knowledge that are highly relevant to supply chain management and operations
Uses R Studio and Simmer library, which are industry standard tools for discrete event simulation
Suitable for beginners with no prior knowledge of discrete event simulation or multi echelon inventory systems
Covers statistical variables, process trajectory, resources, and arrivals, which are fundamental concepts in discrete event simulation
Provides hands-on experience in running simulations, storing results, and interpreting outcomes
Taught by Moses Gummadi, who is an expert in supply chain management and simulation
Save this course
Save Multi-Echelon Inventory Simulation Using R Simmer to your list so you can find it easily later:
Save
Save
Reviews summary
Practical inventory simulation
learners say this simulation course is excellent for gaining hands-on inventory problem experience using R Simmer. Instructors demystify concepts and break down problems into easy to understand steps, leading to increased confidence in using R.
Excellent hands-on guide with easy breakdown of complex topics.
"Excellent hands-on guide break down problem into easy to understand steps with R."
Perfectly demystify complex inventory problems and I gained confidence with new skills using R.
"Perfectly demystify complex inventory problem and I gained confidence with new skills using R."
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 Multi-Echelon Inventory Simulation Using R Simmer with these
activities:
Compile and organize course notes and assignments
Show steps
Helps you stay organized and prepared for the course.
Show steps
-
Gather your notes, assignments, and other course materials
-
Organize the materials into a logical order
-
Create a system for storing and accessing the materials
Review stochastic process theory
Show steps
Bolster the foundational knowledge you'll need to engage with this course's concepts.
Browse courses on
Stochastic Processes
Show steps
-
Review the key concepts of probability theory
-
Explore different types of stochastic processes
-
Solve practice problems to enhance your understanding
Follow a guided tutorial on discrete event simulation
Show steps
Helps you gain a foundational understanding of the concepts covered in the course.
Show steps
-
Identify a guided tutorial on discrete event simulation
-
Follow the steps in the tutorial
-
Complete the exercises in the tutorial
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Discrete Event Simulation
Show steps
Refresh your knowledge on Discrete Event Simulation before taking this course to ensure a smooth transition and better preparedness
Show steps
-
Review course materials on Discrete Event Simulation basics
-
Practice implementing simulation models using a programming language
-
Attend online tutorials or webinars on Discrete Event Simulation
R Studio and Simmer Library
Show steps
Complete guided tutorials on R Studio and the Simmer library to enhance your proficiency and confidence in using these tools for simulation
Browse courses on
R Studio
Show steps
-
Enroll in online courses or tutorials that cover R Studio and Simmer
-
Follow along with tutorials to install and set up R Studio and Simmer
-
Practice writing R code to perform basic statistical operations and data manipulation
Statistical Variable Creation for Simulation
Show steps
Engage in practice drills on creating statistical variables required for simulation to strengthen your understanding and accuracy
Browse courses on
Statistical Variables
Show steps
-
Solve practice problems on generating random variables from various distributions
-
Write R code to simulate statistical variables and verify their properties
-
Participate in online forums or discussion groups to ask questions and share knowledge
Practice using R Studio and Simmer library
Show steps
Helps you become proficient in using the tools necessary to complete course assignments.
Show steps
-
Access R Studio and the Simmer library
-
Run a basic simulation in Simmer
-
Experiment with different parameters in Simmer
Simulate inventory models in R
Show steps
Build proficiency in applying the course concepts through simulation.
Show steps
-
Implement basic inventory models in R
-
Analyze and interpret the simulation results
-
Consider different scenarios and their impact on inventory levels
Participate in a peer-led discussion group on multi echelon inventory systems
Show steps
Provides an opportunity to discuss the concepts covered in the course with other students.
Show steps
-
Find a peer-led discussion group on multi echelon inventory systems
-
Attend the discussion group meetings regularly
-
Participate in the discussions
Simulation Model Development
Show steps
Develop a comprehensive simulation model to demonstrate the concepts and techniques covered in this course
Show steps
-
Define the scope and objectives of the simulation model
-
Gather data and determine input parameters for the model
-
Write R code to implement the simulation model using the Simmer library
-
Run the simulation model and analyze the results to draw insights
-
Write a report or presentation to document the simulation model and findings
Create a visual representation of a multi echelon inventory system
Show steps
Provides a deeper understanding of the concepts covered in the course.
Show steps
-
Identify the different components of a multi echelon inventory system
-
Create a diagram or chart to represent the system
-
Explain the relationships between the different components
Discuss case studies on inventory management
Show steps
Gain diverse perspectives by engaging in discussions with peers.
Show steps
-
Form a study group with classmates
-
Select real-world case studies related to inventory management
-
Analyze the case studies and share insights with the group
Develop a simulation model for a specific multi echelon inventory system
Show steps
Allows you to apply the concepts covered in the course to a real-world problem.
Show steps
-
Identify a specific multi echelon inventory system
-
Gather data on the system
-
Develop a simulation model of the system in R Simmer
Compile and organize course notes and assignments
Show steps
Helps you stay organized and prepared for the course.
Show steps
Show steps
Show steps
- Gather your notes, assignments, and other course materials
- Organize the materials into a logical order
- Create a system for storing and accessing the materials
Review stochastic process theory
Show steps
Bolster the foundational knowledge you'll need to engage with this course's concepts.
Browse courses on
Stochastic Processes
Show steps
Show steps
Show steps
- Review the key concepts of probability theory
- Explore different types of stochastic processes
- Solve practice problems to enhance your understanding
Follow a guided tutorial on discrete event simulation
Show steps
Helps you gain a foundational understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Identify a guided tutorial on discrete event simulation
- Follow the steps in the tutorial
- Complete the exercises in the tutorial
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Discrete Event Simulation
Show steps
Refresh your knowledge on Discrete Event Simulation before taking this course to ensure a smooth transition and better preparedness
Show steps
Show steps
Show steps
- Review course materials on Discrete Event Simulation basics
- Practice implementing simulation models using a programming language
- Attend online tutorials or webinars on Discrete Event Simulation
R Studio and Simmer Library
Show steps
Complete guided tutorials on R Studio and the Simmer library to enhance your proficiency and confidence in using these tools for simulation
Browse courses on
R Studio
Show steps
Show steps
Show steps
- Enroll in online courses or tutorials that cover R Studio and Simmer
- Follow along with tutorials to install and set up R Studio and Simmer
- Practice writing R code to perform basic statistical operations and data manipulation
Statistical Variable Creation for Simulation
Show steps
Engage in practice drills on creating statistical variables required for simulation to strengthen your understanding and accuracy
Browse courses on
Statistical Variables
Show steps
Show steps
Show steps
- Solve practice problems on generating random variables from various distributions
- Write R code to simulate statistical variables and verify their properties
- Participate in online forums or discussion groups to ask questions and share knowledge
Practice using R Studio and Simmer library
Show steps
Helps you become proficient in using the tools necessary to complete course assignments.
Show steps
Show steps
Show steps
- Access R Studio and the Simmer library
- Run a basic simulation in Simmer
- Experiment with different parameters in Simmer
Simulate inventory models in R
Show steps
Build proficiency in applying the course concepts through simulation.
Show steps
Show steps
Show steps
- Implement basic inventory models in R
- Analyze and interpret the simulation results
- Consider different scenarios and their impact on inventory levels
Participate in a peer-led discussion group on multi echelon inventory systems
Show steps
Provides an opportunity to discuss the concepts covered in the course with other students.
Show steps
Show steps
Show steps
- Find a peer-led discussion group on multi echelon inventory systems
- Attend the discussion group meetings regularly
- Participate in the discussions
Simulation Model Development
Show steps
Develop a comprehensive simulation model to demonstrate the concepts and techniques covered in this course
Show steps
Show steps
Show steps
- Define the scope and objectives of the simulation model
- Gather data and determine input parameters for the model
- Write R code to implement the simulation model using the Simmer library
- Run the simulation model and analyze the results to draw insights
- Write a report or presentation to document the simulation model and findings
Create a visual representation of a multi echelon inventory system
Show steps
Provides a deeper understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Identify the different components of a multi echelon inventory system
- Create a diagram or chart to represent the system
- Explain the relationships between the different components
Discuss case studies on inventory management
Show steps
Gain diverse perspectives by engaging in discussions with peers.
Show steps
Show steps
Show steps
- Form a study group with classmates
- Select real-world case studies related to inventory management
- Analyze the case studies and share insights with the group
Develop a simulation model for a specific multi echelon inventory system
Show steps
Allows you to apply the concepts covered in the course to a real-world problem.
Show steps
Show steps
Show steps
- Identify a specific multi echelon inventory system
- Gather data on the system
- Develop a simulation model of the system in R Simmer
Career center
Learners who complete Multi-Echelon Inventory Simulation Using R Simmer will develop knowledge and skills
that may be useful to these careers:
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to improve the efficiency of business processes. This course can help build a foundation in operations research by teaching learners how to use R Studio and the Simmer library to simulate multi-echelon inventory systems. These skills can be applied to a variety of industries, including manufacturing, logistics, and healthcare.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data. This course can help build a foundation in quantitative analysis by teaching learners how to use R Studio and the Simmer library to simulate financial models. These skills can be applied to a variety of industries, including investment banking, asset management, and hedge funds.
Actuary
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. This course can help build a foundation in actuarial science by teaching learners how to use R Studio and the Simmer library to simulate insurance portfolios. These skills can be applied to a variety of industries, including insurance, healthcare, and finance.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help businesses make informed decisions. This course can help build a foundation in statistics by teaching learners how to use R Studio and the Simmer library to create statistical models and analyze data. These skills can be applied to a variety of industries, including healthcare, finance, and retail.
Supply Chain Manager
Supply Chain Manager
A Supply Chain Manager plans, organizes, and controls the flow of goods and services from suppliers to customers. This course can help build a foundation in supply chain management by teaching learners how to use R Studio and the Simmer library to simulate supply chain networks. These skills can be applied to a variety of industries, including manufacturing, logistics, and retail.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and interprets data to help businesses make informed decisions. This course can help build a foundation in data analysis by teaching learners how to use R Studio and the Simmer library to create statistical variables, define process trajectories, and run simulations. These skills can be applied to a variety of industries, including healthcare, finance, and retail.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course can help build a foundation in data science by teaching learners how to use R Studio and the Simmer library to analyze data and create predictive models. These skills can be applied to a variety of industries, including healthcare, finance, and retail.
Logistics Manager
Logistics Manager
A Logistics Manager plans, organizes, and controls the movement of goods and materials from suppliers to customers. This course can help build a foundation in logistics management by teaching learners how to use R Studio and the Simmer library to simulate supply chain networks. These skills can be applied to a variety of industries, including manufacturing, logistics, and retail.
Operations Manager
Operations Manager
An Operations Manager plans, organizes, and controls the production and delivery of goods and services. This course can help build a foundation in operations management by teaching learners how to use R Studio and the Simmer library to simulate supply chain networks. These skills can be applied to a variety of industries, including manufacturing, logistics, and healthcare.
Inventory Manager
Inventory Manager
An Inventory Manager plans, organizes, and controls the flow of goods and materials within a warehouse or distribution center. This course can help build a foundation in inventory management by teaching learners how to use R Studio and the Simmer library to simulate inventory systems. These skills can be applied to a variety of industries, including manufacturing, logistics, and retail.
Financial Analyst
Financial Analyst
A Financial Analyst evaluates the financial performance of companies and makes investment recommendations. This course can help build a foundation in financial analysis by teaching learners how to use R Studio and the Simmer library to analyze data and create financial models. These skills can be applied to a variety of industries, including investment banking, asset management, and corporate finance.
Business Analyst
Business Analyst
A Business Analyst identifies and solves business problems. This course can help build a foundation in business analysis by teaching learners how to use R Studio and the Simmer library to analyze data and make recommendations. These skills can be applied to a variety of industries, including healthcare, finance, and technology.
Management Consultant
Management Consultant
A Management Consultant helps businesses identify and solve problems. This course can help build a foundation in management consulting by teaching learners how to use R Studio and the Simmer library to analyze data and make recommendations. These skills can be applied to a variety of industries, including healthcare, finance, and technology.
Economist
Economist
An Economist studies the production, distribution, and consumption of goods and services. This course can help build a foundation in economics by teaching learners how to use R Studio and the Simmer library to simulate economic models. These skills can be applied to a variety of industries, including government, academia, and think tanks.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help build a foundation in software engineering by teaching learners how to use R Studio and the Simmer library to simulate complex systems. These skills can be applied to a variety of industries, including healthcare, finance, and technology.
For more career information including salaries, visit:
OpenCourser.com/course/halu75/multi
Reading list
We've selected eight 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
Multi-Echelon Inventory Simulation Using R Simmer.
Provides a comprehensive overview of multi-echelon inventory theory and practice. It covers a wide range of topics, including inventory models, forecasting, safety stock, and distribution networks.
Provides a comprehensive introduction to discrete-event simulation. It covers a wide range of topics, including model building, data analysis, and validation.
Provides a comprehensive introduction to simulation modeling and analysis using R. It covers a wide range of topics, including model building, data analysis, and validation.
Provides a comprehensive introduction to simulation modeling and analysis. It covers a wide range of topics, including model building, data analysis, and validation.
Save
Provides a comprehensive introduction to probability and statistics, which are essential for understanding simulation modeling. It covers a wide range of topics, including probability distributions, statistical inference, and hypothesis testing.
Provides a comprehensive introduction to operations research. It covers a wide range of topics, including linear programming, integer programming, network flows, and queuing theory.
Provides a comprehensive introduction to logistics engineering and management. It covers a wide range of topics, including inventory management, transportation, and distribution networks.
Provides a comprehensive introduction to supply chain management. It covers a wide range of topics, including inventory management, transportation, and distribution networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/halu75/multi
Share
Similar courses
Here are nine courses similar to
Multi-Echelon Inventory Simulation Using R Simmer.
Simulation of Inventory Replenishment Using R Simmer
OpenCourser.com/course/udj0za/simulation
Simulation of Inventory Replenishment Using R Simmer
Most relevant
Simulation of Manufacturing Process Using R Simmer
OpenCourser.com/course/i27v81/simulation
Simulation of Manufacturing Process Using R Simmer
Most relevant
Simulation of Covid-19 Testing Process Using R Simmer
OpenCourser.com/course/ygihlo/simulation
Simulation of Covid-19 Testing Process Using R Simmer
Most relevant
Simulation of Drum-Buffer-Rope Control Using R Simmer
OpenCourser.com/course/nkbhpr/simulation
Simulation of Drum-Buffer-Rope Control Using R Simmer
Most relevant
Simulation of CONWIP Production Control Using R Simmer
OpenCourser.com/course/qqw1hv/simulation
Simulation of CONWIP Production Control Using R Simmer
Most relevant
Simulation of Call Centre Operations Using R Simmer
OpenCourser.com/course/fgrirx/simulation
Simulation of Call Centre Operations Using R Simmer
Manufacturing Systems II
OpenCourser.com/course/i6djhs/manufacturing
Manufacturing Systems II
Visualizing Data in the Tidyverse
OpenCourser.com/course/aunxpl/visualizing
Visualizing Data in the Tidyverse
Performing Confirmatory Data Analysis in R
OpenCourser.com/course/rshq5x/performing
Performing Confirmatory Data Analysis in R
Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Teaches skills and knowledge that are highly relevant to supply chain management and operations
Uses R Studio and Simmer library, which are industry standard tools for discrete event simulation
Suitable for beginners with no prior knowledge of discrete event simulation or multi echelon inventory systems
Covers statistical variables, process trajectory, resources, and arrivals, which are fundamental concepts in discrete event simulation
Provides hands-on experience in running simulations, storing results, and interpreting outcomes
Taught by Moses Gummadi, who is an expert in supply chain management and simulation
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 - 2024 OpenCourser