2013Contemporary Chemical IndustryRequires access

Solving Linear Programming Problems in the Storage and Transportation by Algorithm Simplex Method

Ren Chuan-qi

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Abstract

Linear programming is to use mathematics as a tool to study how to achieve a linear objective optimization under certain restrictions.And the simplex method to solve linear programming problems is the leading method.Based on a common form of the linear programming model,through examples of introducing the simplex method,the optimal solution was obtained by Diego and judgment,gradual approach.And then it's simplified into a table calculation,which can improve the computational efficiency.Finally,application of the simplex table in the storage and transportation was discussed,which can provide a reference to the actual work.

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What this paper is about

Linear programming is to use mathematics as a tool to study how to achieve a linear objective optimization under certain restrictions.And the simplex method to solve linear programming problems is the leading method.Based on a common form of the linear programming model,through examples of introducing the simplex method,the optimal solution was obtained by Diego and judgment,gradual approach.And then it's simplified into a table calculation,which can improve the computational efficiency.Finally,application of the simplex table in the storage and transportation was discussed,which can provide a reference to the actual work.

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Available abstract

Linear programming is to use mathematics as a tool to study how to achieve a linear objective optimization under certain restrictions.And the simplex method to solve linear programming problems is the leading method.Based on a common form of the linear programming model,through examples of introducing the simplex method,the optimal solution was obtained by Diego and judgment,gradual approach.And then it's simplified into a table calculation,which can improve the computational efficiency.Finally,application of the simplex table in the storage and transportation was discussed,which can provide a reference to the actual work.

Key concepts: Simplex algorithm, Linear programming, Revised simplex method, Simplex, Linear-fractional programming, Criss-cross algorithm, Table (database), Mathematical optimization

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