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Moses Gummadi
Welcome to "Job Shop Scheduling Using MILP Optimization 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 Job Shop Scheduling, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate Jobshop scheduling problem as an optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution.
Read more
Welcome to "Job Shop Scheduling Using MILP Optimization 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 Job Shop Scheduling, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate Jobshop scheduling problem as an optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution.
Read more
Welcome to "Job Shop Scheduling Using MILP Optimization 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 Job Shop Scheduling, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate Jobshop scheduling problem as an optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution.
This course is at an intermediate level, and assumes knowledge of following:
1. Familiarity R language, including vectors, data frames, loops etc, and RStudio.
2. Linear Programming basics.
Register for this course and see more details by visiting:
OpenCourser.com/course/j3a54i/job
What's inside
Syllabus
Project Overview
Welcome to "Job Shop Scheduling Using MILP Optimization 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 Job Shop Scheduling, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate Jobshop scheduling problem as an optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution. This course is at an intermediate level, and assumes knowledge of following:1. Familiarity R language, including vectors, data frames, loops etc, and RStudio.2. Linear Programming basics.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Intermediates to the experienced, who are either passionate about or work in linear programming
Students working in skilled trades who use optimization math
For students who want to use RStudio, this teaches a specific use case
Requires knowledge of Linear Programming basics, which can be a barrier for beginners
Does not set up users with a background in the field
Save this course
Save Job Shop Scheduling Using MILP Optimization 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 Job Shop Scheduling Using MILP Optimization on RStudio with these
activities:
Refresh knowledge on linear programming
Show steps
Start by refreshing knowledge on linear programming, a prerequisite for understanding Mixed Integer Linear Programming (MILP).
Browse courses on
Linear Programming
Show steps
-
Review concepts of linear programming, such as decision variables, objective functions, and constraints.
-
Solve practice problems to reinforce understanding.
Follow tutorials on RStudio and lpSolveAPI library
Show steps
Gain familiarity with a useful toolset for solving MILP problems.
Show steps
-
Find tutorials on RStudio and lpSolveAPI library.
-
Follow along with the tutorials, practicing the use of these tools.
Solve MILP practice problems using RStudio and lpSolveAPI
Show steps
Apply the knowledge gained from the tutorials to solve MILP problems.
Show steps
-
Find practice problems involving MILP.
-
Use RStudio and lpSolveAPI to solve the practice problems.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Compile a list of resources on MILP
Show steps
Expand knowledge and understanding of MILP through a curated resource list.
Show steps
-
Search for and gather various resources related to MILP.
-
Organize and compile the resources into a structured list.
Create a visual presentation on MILP optimization
Show steps
Reinforce understanding of MILP by explaining it to an audience.
Show steps
-
Gather information and create visual aids about MILP optimization.
-
Present the information to an audience.
Attend a workshop on optimization techniques
Show steps
Deepen understanding of optimization techniques including MILP.
Show steps
-
Find and register for a workshop on optimization techniques.
-
Attend the workshop and actively participate in discussions.
Mentor junior students in understanding MILP
Show steps
Practice explaining and applying MILP knowledge by mentoring others.
Show steps
-
Find opportunities to mentor junior students on MILP concepts.
-
Provide guidance and support to help them understand and apply MILP.
Contribute to an open-source project related to MILP
Show steps
Practical exposure to MILP application and a chance to contribute to the community.
Show steps
-
Identify an open-source project related to MILP.
-
Review the project's documentation and code.
-
Identify an area where you can contribute.
-
Make a contribution to the project.
Refresh knowledge on linear programming
Show steps
Start by refreshing knowledge on linear programming, a prerequisite for understanding Mixed Integer Linear Programming (MILP).
Browse courses on
Linear Programming
Show steps
Show steps
Show steps
- Review concepts of linear programming, such as decision variables, objective functions, and constraints.
- Solve practice problems to reinforce understanding.
Follow tutorials on RStudio and lpSolveAPI library
Show steps
Gain familiarity with a useful toolset for solving MILP problems.
Show steps
Show steps
Show steps
- Find tutorials on RStudio and lpSolveAPI library.
- Follow along with the tutorials, practicing the use of these tools.
Solve MILP practice problems using RStudio and lpSolveAPI
Show steps
Apply the knowledge gained from the tutorials to solve MILP problems.
Show steps
Show steps
Show steps
- Find practice problems involving MILP.
- Use RStudio and lpSolveAPI to solve the practice problems.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Compile a list of resources on MILP
Show steps
Expand knowledge and understanding of MILP through a curated resource list.
Show steps
Show steps
Show steps
- Search for and gather various resources related to MILP.
- Organize and compile the resources into a structured list.
Create a visual presentation on MILP optimization
Show steps
Reinforce understanding of MILP by explaining it to an audience.
Show steps
Show steps
Show steps
- Gather information and create visual aids about MILP optimization.
- Present the information to an audience.
Attend a workshop on optimization techniques
Show steps
Deepen understanding of optimization techniques including MILP.
Show steps
Show steps
Show steps
- Find and register for a workshop on optimization techniques.
- Attend the workshop and actively participate in discussions.
Mentor junior students in understanding MILP
Show steps
Practice explaining and applying MILP knowledge by mentoring others.
Show steps
Show steps
Show steps
- Find opportunities to mentor junior students on MILP concepts.
- Provide guidance and support to help them understand and apply MILP.
Contribute to an open-source project related to MILP
Show steps
Practical exposure to MILP application and a chance to contribute to the community.
Show steps
Show steps
Show steps
- Identify an open-source project related to MILP.
- Review the project's documentation and code.
- Identify an area where you can contribute.
- Make a contribution to the project.
Career center
Learners who complete Job Shop Scheduling Using MILP Optimization on RStudio will develop knowledge and skills
that may be useful to these careers:
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use advanced analytical techniques to solve complex problems in a variety of industries, including manufacturing, healthcare, and finance. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results. This course is particularly relevant to Operations Research Analysts who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Industrial Engineer
Industrial Engineer
Industrial Engineers use their knowledge of engineering and management principles to design and improve processes in a variety of industries. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results. This course is particularly relevant to Industrial Engineers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance by providing advice on a variety of topics, including operations, strategy, and technology. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results. This course is particularly relevant to Management Consultants who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and programming to solve complex problems in a variety of industries. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results. This course is particularly relevant to Data Scientists who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a company. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's goals are met. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results.
Production Planner
Production Planner
Production Planners develop and implement plans to ensure that a company's production processes are efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results.
Supply Chain Manager
Supply Chain Manager
Supply Chain Managers oversee the flow of goods and services from suppliers to customers. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's supply chain is efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' can help you develop the skills you need to succeed in this role by providing you with a strong foundation in optimization techniques and R programming. You will learn how to formulate real-world problems as mathematical models, solve them using MILP, and analyze the results.
Project Manager
Project Manager
Project Managers plan, organize, and direct the activities of employees to ensure that a project is completed on time, within budget, and to the required quality standards. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Project Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Quality Control Manager
Quality Control Manager
Quality Control Managers oversee the quality of a company's products and services. They are responsible for developing and implementing quality control procedures and for ensuring that the company's products and services meet the required quality standards. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Quality Control Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Inventory Manager
Inventory Manager
Inventory Managers oversee the flow of goods and materials within a company. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's inventory is efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Inventory Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Maintenance Manager
Maintenance Manager
Maintenance Managers oversee the maintenance of a company's buildings, equipment, and vehicles. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's assets are in good working order. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Maintenance Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Safety Manager
Safety Manager
Safety Managers oversee the safety of a company's employees and customers. They are responsible for developing and implementing safety procedures and for ensuring that the company's employees and customers are safe. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Safety Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Human Resources Manager
Human Resources Manager
Human Resources Managers oversee the human resources functions of a company. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's human resources are efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Human Resources Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Financial Manager
Financial Manager
Financial Managers oversee the financial functions of a company. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's finances are efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Financial Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
Marketing Manager
Marketing Manager
Marketing Managers oversee the marketing functions of a company. They are responsible for planning, organizing, and directing the activities of employees to ensure that the company's marketing is efficient and effective. The course 'Job Shop Scheduling Using MILP Optimization on RStudio' may be useful for Marketing Managers who work in manufacturing, as it provides hands-on experience with job shop scheduling problems.
For more career information including salaries, visit:
OpenCourser.com/course/j3a54i/job
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
Job Shop Scheduling Using MILP Optimization on RStudio.
Save
Covers job shop scheduling in depth, including various algorithms and techniques.
Save
Provides a comprehensive overview of scheduling, including job shop scheduling.
Save
Provides a thorough introduction to linear programming, including advanced topics such as duality and sensitivity analysis.
Provides a comprehensive overview of operations research, including linear programming, which fundamental technique used in job shop scheduling.
Provides a comprehensive overview of scheduling algorithms in French.
Covers combinatorial optimization in French.
Covers integer programming, which specialized type of linear programming used to solve problems with integer variables.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j3a54i/job
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Intermediates to the experienced, who are either passionate about or work in linear programming
Students working in skilled trades who use optimization math
For students who want to use RStudio, this teaches a specific use case
Requires knowledge of Linear Programming basics, which can be a barrier for beginners
Does not set up users with a background in the field
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