We may earn an affiliate commission when you visit our partners.
Moses Gummadi
Supply Chain Network Optimization
Register for this course and see more details by visiting:
OpenCourser.com/course/wvpz1g/supply
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Project Overview
Welcome to "Supply Chain Network Optimization Using MILP on RStudio". This is a project-based course which should take under 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 Supply Chain Network Optimization, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Moses Gummadi, who are recognized for their work in Supply Chain Network Optimization
Develops knowledge of Supply Chain Network Optimization and Mixed Integer Linear Programming, which are core skills in the field of Supply Chain Management
Uses R Studio and lpSolveAPI library, which are industry-standard tools for Supply Chain Network Optimization
Suitable for those with some experience in Supply Chain Management and familiarity with optimization techniques
Save this course
Save Supply Chain Network Optimization Using MILP on RStudio to your list so you can find it easily later:
Save
Save
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 Supply Chain Network Optimization Using MILP on RStudio with these
activities:
Review 'Optimization for Decision Making'
Show steps
Review of this foundational text on optimization will help you understand the concepts and techniques used to optimize supply chain networks.
View
Optimization for Decision Making
on Amazon
Show steps
-
Read the first three chapters focusing on linear programming
-
Review the examples and exercises at the end of each chapter
Follow tutorials on supply chain optimization using MILP
Show steps
Following tutorials will provide you with step-by-step guidance on how to use MILP to optimize supply chain networks.
Browse courses on
Supply Chain Optimization
Show steps
-
Find tutorials on supply chain optimization using MILP
-
Follow the tutorials and complete the exercises
Solve supply chain optimization problems using RStudio and lpSolveAPI library
Show steps
Solving practice problems will help you develop your skills in using RStudio and lpSolveAPI to optimize supply chain networks.
Browse courses on
Supply Chain Optimization
Show steps
-
Install RStudio and lpSolveAPI
-
Load the lpSolveAPI library
-
Define the objective function and constraints
-
Solve the optimization problem
-
Analyze the results
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a supply chain network for a small business
Show steps
Designing a supply chain network will give you hands-on experience in applying the concepts and techniques learned in the course.
Browse courses on
Supply Chain Design
Show steps
-
Define the business requirements and constraints
-
Identify potential suppliers and distribution centers
-
Develop a transportation plan
-
Evaluate the design and make recommendations for improvement
Participate in a workshop on supply chain optimization
Show steps
Participating in a workshop will give you hands-on experience in applying supply chain optimization techniques.
Browse courses on
Supply Chain Optimization
Show steps
-
Find a workshop on supply chain optimization
-
Register for the workshop
-
Attend the workshop and participate in activities
Attend a conference or webinar on supply chain optimization
Show steps
Attending a conference or webinar will allow you to learn from experts and network with other professionals in the field.
Browse courses on
Supply Chain Optimization
Show steps
-
Find a conference or webinar on supply chain optimization
-
Register for the event
-
Attend the event and participate in discussions
Volunteer for a non-profit organization that works on supply chain optimization
Show steps
Volunteering will provide you with practical experience in supply chain optimization and allow you to make a positive impact.
Browse courses on
Supply Chain Optimization
Show steps
-
Find a non-profit organization that works on supply chain optimization
-
Contact the organization and inquire about volunteer opportunities
-
Complete the volunteer application and training
-
Participate in volunteer activities
Create a blog post on a topic related to supply chain optimization
Show steps
Writing a blog post will help you synthesize and communicate your understanding of supply chain optimization.
Browse courses on
Supply Chain Optimization
Show steps
-
Choose a topic that interests you
-
Research the topic and gather information
-
Write a clear and concise blog post
-
Edit and proofread your post
-
Publish your post and share it with others
Review 'Optimization for Decision Making'
Show steps
Review of this foundational text on optimization will help you understand the concepts and techniques used to optimize supply chain networks.
View
Optimization for Decision Making
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters focusing on linear programming
- Review the examples and exercises at the end of each chapter
Follow tutorials on supply chain optimization using MILP
Show steps
Following tutorials will provide you with step-by-step guidance on how to use MILP to optimize supply chain networks.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Find tutorials on supply chain optimization using MILP
- Follow the tutorials and complete the exercises
Solve supply chain optimization problems using RStudio and lpSolveAPI library
Show steps
Solving practice problems will help you develop your skills in using RStudio and lpSolveAPI to optimize supply chain networks.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Install RStudio and lpSolveAPI
- Load the lpSolveAPI library
- Define the objective function and constraints
- Solve the optimization problem
- Analyze the results
Five other activities
Expand to see all activities and additional details
Show all eight activities
Design a supply chain network for a small business
Show steps
Designing a supply chain network will give you hands-on experience in applying the concepts and techniques learned in the course.
Browse courses on
Supply Chain Design
Show steps
Show steps
Show steps
- Define the business requirements and constraints
- Identify potential suppliers and distribution centers
- Develop a transportation plan
- Evaluate the design and make recommendations for improvement
Participate in a workshop on supply chain optimization
Show steps
Participating in a workshop will give you hands-on experience in applying supply chain optimization techniques.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Find a workshop on supply chain optimization
- Register for the workshop
- Attend the workshop and participate in activities
Attend a conference or webinar on supply chain optimization
Show steps
Attending a conference or webinar will allow you to learn from experts and network with other professionals in the field.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Find a conference or webinar on supply chain optimization
- Register for the event
- Attend the event and participate in discussions
Volunteer for a non-profit organization that works on supply chain optimization
Show steps
Volunteering will provide you with practical experience in supply chain optimization and allow you to make a positive impact.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Find a non-profit organization that works on supply chain optimization
- Contact the organization and inquire about volunteer opportunities
- Complete the volunteer application and training
- Participate in volunteer activities
Create a blog post on a topic related to supply chain optimization
Show steps
Writing a blog post will help you synthesize and communicate your understanding of supply chain optimization.
Browse courses on
Supply Chain Optimization
Show steps
Show steps
Show steps
- Choose a topic that interests you
- Research the topic and gather information
- Write a clear and concise blog post
- Edit and proofread your post
- Publish your post and share it with others
Career center
Learners who complete Supply Chain Network Optimization Using MILP on RStudio will develop knowledge and skills
that may be useful to these careers:
Supply Chain Analyst
Supply Chain Analyst
A Supply Chain Analyst designs and improves supply chains, maximizing efficiency and minimizing costs. To be successful in this role, one must comprehend network optimization, mixed integer linear programming, and the application of these concepts in supply chain management. This course provides the foundation for these essential concepts, making it valuable for aspiring Supply Chain Analysts.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use advanced analytical techniques to solve complex problems in various industries. Knowledge of supply chain network optimization and mixed integer linear programming is crucial for these professionals. This course offers an introduction to both topics, making it a beneficial resource for aspiring Operations Research Analysts.
Logistics Manager
Logistics Manager
Logistics Managers oversee the transportation and storage of goods, ensuring their efficient delivery to customers. Understanding supply chain network optimization can significantly enhance one's ability to make informed decisions regarding logistics operations. This course provides a solid foundation in this area, making it valuable for aspiring Logistics Managers.
Data Scientist
Data Scientist
Data Scientists leverage data to solve complex business problems. Knowledge of optimization techniques, including supply chain network optimization and mixed integer linear programming, is valuable in this field. This course provides an introduction to these concepts, making it a beneficial resource for aspiring Data Scientists who seek to specialize in supply chain optimization.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems using data analysis and problem-solving techniques. An understanding of supply chain network optimization can help Business Analysts make informed recommendations regarding supply chain operations. This course provides a basic understanding of this topic, making it a potentially useful resource for aspiring Business Analysts.
Industrial Engineer
Industrial Engineer
Industrial Engineers improve processes and systems to enhance efficiency. Knowledge of supply chain network optimization and mixed integer linear programming can be beneficial in this role. This course provides an introduction to these concepts, making it a potentially useful resource for aspiring Industrial Engineers.
Management Consultant
Management Consultant
Management Consultants advise organizations on how to improve their operations and performance. Understanding supply chain network optimization can enable Management Consultants to make well-informed recommendations regarding supply chain management. This course offers an introduction to this topic, making it a potentially useful resource for aspiring Management Consultants.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. Supply chain network optimization knowledge can assist Project Managers in effectively managing supply chain-related projects. This course provides an overview of this topic, making it a potentially useful resource for aspiring Project Managers.
Financial Analyst
Financial Analyst
Financial Analysts evaluate investments and make recommendations. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Financial Analysts assessing companies in the logistics and supply chain industries. This course may be helpful for Financial Analysts seeking to expand their industry knowledge.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing strategies. While not directly applicable to marketing, understanding supply chain network optimization can provide insights into supply chain dynamics, which can be valuable for developing marketing strategies for products and services related to logistics and supply chain management. This course may be helpful for Marketing Managers seeking to gain a broader understanding of the supply chain.
Sales Manager
Sales Manager
Sales Managers lead sales teams and develop sales strategies. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Sales Managers selling products and services related to logistics and supply chain management. This course may be helpful for Sales Managers seeking to expand their industry knowledge.
Customer Success Manager
Customer Success Manager
Customer Success Managers ensure customer satisfaction and drive product adoption. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Customer Success Managers supporting customers in the logistics and supply chain industries. This course may be helpful for Customer Success Managers seeking to expand their industry knowledge.
Product Manager
Product Manager
Product Managers develop and manage products. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Product Managers developing products related to logistics and supply chain management. This course may be helpful for Product Managers seeking to gain a broader understanding of the supply chain.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Software Engineers developing software for logistics and supply chain management systems. This course may be helpful for Software Engineers seeking to gain a broader understanding of the supply chain.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. While not directly related to supply chain network optimization, understanding supply chain dynamics can provide valuable context for Data Engineers working on data projects related to logistics and supply chain management. This course may be helpful for Data Engineers seeking to gain a broader understanding of the supply chain.
For more career information including salaries, visit:
OpenCourser.com/course/wvpz1g/supply
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
Supply Chain Network Optimization Using MILP on RStudio.
Provides a comprehensive overview of optimization techniques used in operations research, including linear programming, nonlinear programming, and integer programming. It valuable resource for anyone interested in learning more about this topic.
Provides a comprehensive introduction to linear programming and network flows, which are fundamental techniques for solving optimization problems. It valuable resource for anyone interested in learning more about this topic.
Provides a comprehensive overview of supply chain management, including supply chain strategy, planning, and operation. It valuable resource for anyone interested in learning more about this topic.
Save
Provides a comprehensive introduction to integer programming, which fundamental technique for solving optimization problems with integer variables. It valuable resource for anyone interested in learning more about this topic.
Save
Provides a comprehensive overview of network flows, which are a fundamental technique for solving optimization problems on networks. It valuable resource for anyone interested in learning more about this topic.
Provides a comprehensive overview of optimization techniques used in decision making, including linear programming, nonlinear programming, and integer programming. It valuable resource for anyone interested in learning more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wvpz1g/supply
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Taught by Moses Gummadi, who are recognized for their work in Supply Chain Network Optimization
Develops knowledge of Supply Chain Network Optimization and Mixed Integer Linear Programming, which are core skills in the field of Supply Chain Management
Uses R Studio and lpSolveAPI library, which are industry-standard tools for Supply Chain Network Optimization
Suitable for those with some experience in Supply Chain Management and familiarity with optimization techniques
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