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International Journal on Recent and Innovation Trends in Computing and Communication Volume: 2 Issue: 12 ISSN: 23218169 4223 4229 Application of Linear Programming in Scheduling Ajay Tiwari School
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How to fill out the application of linear programming:

01
Start by clearly defining the objective of your linear programming problem. This could be maximizing or minimizing a specific quantity.
02
Identify the decision variables involved in your problem. These are the unknowns that you will be solving for.
03
Determine the constraints that need to be satisfied. These constraints could be in the form of equations or inequalities.
04
Specify the mathematical model that represents your problem. This includes the objective function, decision variables, and constraints, all combined into a single equation or set of equations.
05
Choose the appropriate optimization method or algorithm to solve the linear programming problem. This could be graphical method, simplex method, or any other suitable method.
06
Implement the chosen method using a software program or by performing manual calculations. Follow the step-by-step procedure to obtain the optimal solution.
07
Interpret the results obtained and write a conclusion for your linear programming problem.

Who needs the application of linear programming?

01
Operations research professionals: Linear programming is extensively used in operations research to optimize various processes, such as production planning, resource allocation, and supply chain management.
02
Economists: Linear programming is widely applied in economics to analyze and optimize resource allocation, production levels, and pricing strategies.
03
Engineers: Linear programming is utilized in various engineering fields to optimize design parameters, resource allocation, and project scheduling.
04
Financial analysts: Linear programming is used in finance to optimize portfolio management, asset allocation, and risk management strategies.
05
Logistics and transportation managers: Linear programming helps in determining optimal routes, transportation schedules, and vehicle assignments in logistics and transportation management.
06
Marketing analysts: Linear programming aids in optimizing marketing campaigns, budget allocation, and product mix decisions for marketing professionals.
07
Environmental scientists: Linear programming is used in environmental management and conservation efforts to optimize resource allocation, land use, and environmental impact assessment.
In conclusion, the application of linear programming is relevant to a wide range of professionals across various industries, including operations research, economics, engineering, finance, logistics, marketing, and environmental sciences.
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Linear programming is commonly used in various industries such as manufacturing, supply chain management, finance, and marketing to optimize resource allocation and decision-making.
Anyone who wants to optimize resource allocation and decision-making processes in various industries can benefit from using linear programming.
To fill out an application of linear programming, one needs to define the objective function, constraints, and decision variables, and then utilize a solver such as Simplex method or graphic method to find the optimal solution.
The purpose of the application of linear programming is to maximize profits, minimize costs, and optimize resource allocation in order to make effective decisions.
Information such as objective function, constraints, decision variables, and constraints must be reported on the application of linear programming.
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