The model of the linear programming is formulated on the basis of mathematical programming as well as optimization methods that are extensively employed by industry and business for about several years. It necessitates the assignment of insufficient resources on the basis of a specific standard of optimality (Robbins &. Tuntiwongpiboon, 1989. Lorraine, Alain, &. Dominique, 2006) and (Megiddo, 1991).
In this connection, I would like to provide an analysis of the use of linear programming techniques and tools for the purposes of hospital management. While considering the prospective reduction in cost and effective operations of the hospital resources, hospitals are confident enough to improve services as well as management of human resources, especially in the department of a surgical suite. This report is going to present the working of the tools and techniques of the linear programming for the anesthesiology nurse scheduling problem (ANSP) for a hospital of the French public. The basic purpose of application of the linear programming techniques and tools at the anesthesiology nurses issue is to better manage and assign the most of public resources among different departments (Lorraine, Alain, &. Dominique, 2006. Robbins &. Tuntiwongpiboon, 1989).
The major area creating a problem for which the methods and tools of linear programming are being applied is the working nature of hospital that is based on the crossway over surgical specialties as well as presumes a range of activities. So here another problem existing is the effective provision of resources. Here major resources are shared and needed to be allocated in a better way (Lorraine, Alain, &. Dominique, 2006. Robbins &. Tuntiwongpiboon, 1989).
Type of model
So the techniques and tools formed on the basis of linear programming have absolutely provided a solution to these problems into two different ways. For the solution of the problem related to ANSP overall arrangement is programmed in the integer programming as well as constraint programming. Here the implementation of these solutions is focused to maximize the equality of the schedule and allocation (Lorraine, Alain, &. Dominique, 2006. Robbins &. Tuntiwongpiboon, 1989).
Model size, how solved, areas covered
The linear programming has provided a solution that has minimized the overall cost as well as made the best utilization of available resources for the hospital. Here these methods and techniques formed on the basis of linear programming have rearranged the facilities as well as human resources, especially in the department of the surgical suite (Lorraine, Alain, &. Dominique, 2006. Robbins &. Tuntiwongpiboon, 1989).