Then, they can formulate a linear programming problem by defining decision variables X (number of acres allocated to wheat) and Y (number of acres allocated to barley), expressing the objective ...

Job-shop scheduling is an important but difficult problem arising in low-volume high-variety manufacturing. It is usually solved at the beginning of each shift with strict computational time ...

In this article, you will learn how to identify and resolve infeasibility in linear programming problems using some common methods and tools. Selected by the community from 6 contributions.

The purpose of this article is to explain how a fuzzy linear programming model can be transformed into a fuzzy multi-objective linear programming model and then solved. An algorithm is developed to ...

In earlier papers [Opns. Res. 9, 849-859 (1961), and 11, 863-888 (1963)] the one-dimensional cutting stock problem was discussed as a linear programming problem. There it was shown how the difficulty ...

Linear programming is being increasingly used in many countries in the determination of least-cost livestock rations subject to certain quality specifications. In this example, the technique is ...