OR Methods and Models

These papers have been cited by many other researchers, and they have been used to solve real-world problems using simplex method, Ford-Fulkerson algorithm, critical path method, Queueing theory and Stochastic models. By reading these papers, you can gain a deeper understanding of the field of OR and its history.


The Simplex Method

One of the most important classic academic papers in OR is “The Simplex Method” by George Dantzig (1947). This paper introduced the simplex method, which is a popular algorithm for solving linear programming problems. The simplex method is a simple and efficient way to solve linear programming problems, and it is still widely used today.

Linear Programming and The Transportation Problem

“Linear Programming” by George Dantzig (1947): This paper introduced the concept of linear programming, which is a mathematical technique for optimizing an objective function subject to a set of linear constraints.

Ford-Fulkerson Algortihmus am Beispiel by Ekreckel on Wikimedia

An important classic academic paper in OR is “The Transportation Problem” by Ford and Fulkerson (1956). This paper introduced the Ford-Fulkerson algorithm, which is a popular algorithm for solving the transportation problem. The transportation problem is a special case of linear programming that is used to find the most efficient way to transport goods from one location to another.

The Critical Path Method

The critical path method (CPM) is a popular technique for scheduling projects. It was introduced in the paper “The Critical Path Method” by Morgan R. Walker and James E. Kelley, Jr. (1957). The CPM is a graphical method for identifying the critical path of a project, which is the sequence of activities that must be completed on time in order to complete the project on time.

Queueing Theory

Queueing theory is a mathematical study of waiting lines. It was introduced in the paper “Queueing Theory” by Agner Krarup Erlang (1909). Queueing theory is used to analyze the performance of queuing…



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