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Moses Gummadi
By the end of this project, you will gain introductiory knowledge of Discrete Event Simulation, Inventory Replenishment, 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/udj0za/simulation
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What's inside
Syllabus
Project Overview
Welcome to "Simulation of Inventory Replenishment Using R Simmer". This is a project-based course which should take about 1.5 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, Inventory Replenishment, 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 learners to the principles of Discrete Event Simulation and Inventory Replenishment, providing a strong foundation for further study
Utilizes R Studio and the Simmer library, widely recognized tools in inventory management
Develops core skills in creating statistical variables, defining process trajectories, and assigning resources essential for inventory management
Provides hands-on practice in simulating inventory replenishment, allowing learners to apply their knowledge directly to real-world situations
Suitable for beginners interested in gaining an introductory understanding of inventory management and Discrete Event Simulation
Involves working with data frames, plotting charts, and interpreting results, providing valuable data analysis skills
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Save Simulation of Inventory Replenishment Using R Simmer to your list so you can find it easily later:
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Reviews summary
Solid inventory replenishment simulation
According to students, this inventory replenishment course is well received with engaging assignments. Based on one review, learners say the course presents strong fundamentals for inventory replenishment.
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 Inventory Replenishment Using R Simmer with these
activities:
Review Statistical Analysis
Show steps
Refresh statistical skills needed for understanding simulation concepts and data analysis in this course.
Browse courses on
Statistical Analysis
Show steps
-
Review concepts of probability distributions
-
Practice solving statistical problems
Volunteer at a local food bank or retail store
Show steps
This will give students hands-on experience with inventory replenishment and help them see the concepts in practice.
Browse courses on
Inventory Replenishment
Show steps
-
Contact a local food bank or retail store and inquire about volunteer opportunities
-
Help with tasks such as stocking shelves and organizing inventory
-
Ask questions about the store's inventory replenishment system
Review statistical fundamentals
Show steps
Reviewing the fundamentals of statistics will further clarify the concepts required for this course.
Browse courses on
Statistical Concepts
Show steps
-
Review notes or textbook chapters on descriptive and inferential statistics
-
Work through a few practice problems to refresh your understanding
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read a book on discrete event simulation
Show steps
Discrete-Event System Simulation is the industry-leading book on discrete event simulation and will provide students with a deeper understanding of the concepts and techniques used in the course.
View
Discrete-Event System Simulation (3rd Edition)
on Amazon
Show steps
-
Read the chapters relevant to the topics covered in the course
Follow online tutorials on Simmer
Show steps
This will help students become familiar with the key concepts of the course and how to use the Simmer library.
Browse courses on
Simmer
Show steps
-
Find a few well-regarded online tutorials on the Simmer library
-
Follow the tutorials step-by-step, taking notes as needed
-
Test your understanding by running the code examples provided in the tutorials
Practice creating simulation models in R
Show steps
This will help students develop the skills necessary to successfully complete the course project.
Show steps
-
Set up a development environment for R and the Simmer library
-
Create a few small simulation models to practice the basics
-
Run the simulations and analyze the results
Create a resource library on inventory replenishment
Show steps
This will give students a place to store and organize their resources for easy reference.
Browse courses on
Inventory Replenishment
Show steps
-
Gather articles, videos, and other resources on inventory replenishment
-
Organize the resources into a logical structure
-
Share the resource library with other students
Develop a simulation model of your own inventory replenishment system
Show steps
This will allow students to apply the concepts and skills learned in the course to a real-world problem.
Browse courses on
Inventory Replenishment
Show steps
-
Identify a specific inventory replenishment system to model
-
Gather the necessary data and assumptions
-
Develop a simulation model in R using the Simmer library
-
Run the simulation and analyze the results
Mentor a peer student on inventory replenishment concepts
Show steps
This will allow students to reinforce their own understanding of the material while also helping others.
Browse courses on
Inventory Replenishment
Show steps
-
Find a peer student who is struggling with the material
-
Offer to help them understand the concepts
-
Review the material together and answer their questions
Review Statistical Analysis
Show steps
Refresh statistical skills needed for understanding simulation concepts and data analysis in this course.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Review concepts of probability distributions
- Practice solving statistical problems
Volunteer at a local food bank or retail store
Show steps
This will give students hands-on experience with inventory replenishment and help them see the concepts in practice.
Browse courses on
Inventory Replenishment
Show steps
Show steps
Show steps
- Contact a local food bank or retail store and inquire about volunteer opportunities
- Help with tasks such as stocking shelves and organizing inventory
- Ask questions about the store's inventory replenishment system
Review statistical fundamentals
Show steps
Reviewing the fundamentals of statistics will further clarify the concepts required for this course.
Browse courses on
Statistical Concepts
Show steps
Show steps
Show steps
- Review notes or textbook chapters on descriptive and inferential statistics
- Work through a few practice problems to refresh your understanding
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read a book on discrete event simulation
Show steps
Discrete-Event System Simulation is the industry-leading book on discrete event simulation and will provide students with a deeper understanding of the concepts and techniques used in the course.
View
Discrete-Event System Simulation (3rd Edition)
on Amazon
Show steps
Show steps
Show steps
- Read the chapters relevant to the topics covered in the course
Follow online tutorials on Simmer
Show steps
This will help students become familiar with the key concepts of the course and how to use the Simmer library.
Browse courses on
Simmer
Show steps
Show steps
Show steps
- Find a few well-regarded online tutorials on the Simmer library
- Follow the tutorials step-by-step, taking notes as needed
- Test your understanding by running the code examples provided in the tutorials
Practice creating simulation models in R
Show steps
This will help students develop the skills necessary to successfully complete the course project.
Show steps
Show steps
Show steps
- Set up a development environment for R and the Simmer library
- Create a few small simulation models to practice the basics
- Run the simulations and analyze the results
Create a resource library on inventory replenishment
Show steps
This will give students a place to store and organize their resources for easy reference.
Browse courses on
Inventory Replenishment
Show steps
Show steps
Show steps
- Gather articles, videos, and other resources on inventory replenishment
- Organize the resources into a logical structure
- Share the resource library with other students
Develop a simulation model of your own inventory replenishment system
Show steps
This will allow students to apply the concepts and skills learned in the course to a real-world problem.
Browse courses on
Inventory Replenishment
Show steps
Show steps
Show steps
- Identify a specific inventory replenishment system to model
- Gather the necessary data and assumptions
- Develop a simulation model in R using the Simmer library
- Run the simulation and analyze the results
Mentor a peer student on inventory replenishment concepts
Show steps
This will allow students to reinforce their own understanding of the material while also helping others.
Browse courses on
Inventory Replenishment
Show steps
Show steps
Show steps
- Find a peer student who is struggling with the material
- Offer to help them understand the concepts
- Review the material together and answer their questions
Career center
Learners who complete Simulation of Inventory Replenishment Using R Simmer will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data analysis and modeling techniques to extract insights from data to solve business problems. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Data Scientists. The course also covers how to use R Studio and the Simmer library, which are popular tools used by Data Scientists.
Supply Chain Analyst
Supply Chain Analyst
Supply Chain Analysts analyze and improve the efficiency and effectiveness of supply chains. This course provides an understanding of inventory replenishment, which is a key aspect of supply chain management. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze supply chains.
Statistician
Statistician
Statisticians use statistical methods to collect, analyze, and interpret data. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Statisticians. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze data.
Risk Manager
Risk Manager
Risk Managers assess and manage risk for organizations. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Risk Managers. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze risk.
Data Analyst
Data Analyst
Data Analysts use data analysis and modeling techniques to extract insights from data to solve business problems. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Data Analysts. The course also covers how to use R Studio and the Simmer library, which are popular tools used by Data Analysts.
Quantitative Trader
Quantitative Trader
Quantitative Traders use mathematical and statistical techniques to develop trading strategies. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Quantitative Traders. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze financial data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Operations Research Analysts. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze business processes.
Business Analyst
Business Analyst
Business Analysts analyze business processes and data to identify areas for improvement. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Business Analysts. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze business processes.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Financial Analysts. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze financial data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which can be useful for Software Engineers who are working on data-driven projects. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze software systems.
Management Consultant
Management Consultant
Management Consultants advise businesses on how to improve their performance. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Management Consultants. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze business processes.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which can be useful for Product Managers who are working on data-driven products. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze product performance.
Operations Manager
Operations Manager
Operations Managers are responsible for the planning, coordination, and control of business operations. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which can be useful for Operations Managers who are working on data-driven projects. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze business operations.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk. This course provides an introduction to statistical variables, data analysis, and modeling techniques, which are essential skills for Actuaries. The course also covers how to use R Studio and the Simmer library, which are tools that can be used to simulate and analyze risk.
Market Researcher
Market Researcher
Market Researchers analyze market trends, customer behavior, and industry data to inform marketing and business decisions. This course can help build a foundation for a career as a Market Researcher by providing an understanding of statistical variables, data analysis, and modeling techniques.
For more career information including salaries, visit:
OpenCourser.com/course/udj0za/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 Inventory Replenishment Using R Simmer.
Focuses on the simulation of industrial systems, making it relevant to the course's focus on inventory replenishment. It covers topics such as system modeling, data collection, and analysis, providing practical guidance for simulating real-world systems.
Provides a comprehensive overview of inventory and production management in supply chains, including topics such as inventory planning, forecasting, and control. While not specific to simulation, it offers valuable insights into the practical aspects of inventory management.
Provides a practical guide to simulation modeling for decision-makers. While not specific to inventory replenishment, it offers valuable insights into the process of building and using simulation models for decision support.
This textbook provides a comprehensive overview of inventory management concepts and techniques. While not specific to simulation, it offers a valuable foundation for understanding the principles and practices of inventory replenishment.
Save
Provides a comprehensive guide to R Markdown, a powerful tool for creating dynamic, reproducible reports and documents. While not specific to simulation, it is an essential resource for anyone using R for data analysis and reporting.
Save
This comprehensive book provides a thorough introduction to the R programming language, covering a wide range of topics from data manipulation to statistical modeling. While not specific to simulation, it valuable reference for anyone using R for data analysis.
Save
Provides an in-depth guide to advanced R programming techniques. While not specific to simulation, it valuable resource for anyone wanting to enhance their R skills for data analysis and modeling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/udj0za/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 learners to the principles of Discrete Event Simulation and Inventory Replenishment, providing a strong foundation for further study
Utilizes R Studio and the Simmer library, widely recognized tools in inventory management
Develops core skills in creating statistical variables, defining process trajectories, and assigning resources essential for inventory management
Provides hands-on practice in simulating inventory replenishment, allowing learners to apply their knowledge directly to real-world situations
Suitable for beginners interested in gaining an introductory understanding of inventory management and Discrete Event Simulation
Involves working with data frames, plotting charts, and interpreting results, providing valuable data analysis skills
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