Linear programming models can help benchmark and monitor performance, based on various indicators, such as patient satisfaction, mortality rates, infection rates, and waiting times.

Learn how to maintain a linear programming model that is accurate, consistent, and adaptable. Discover tips on defining the problem, choosing the software, organizing the data, validating and ...

Linear Programming Model is built, where two objectives with weight in the objective function, ... DOI: 10.4236/jamp.2016.45104 PDF HTML XML 2,494 Downloads 5,365 Views Citations. Abstract. The ...

Discover a groundbreaking technique for solving binary linear programming models in polynomial time. ... DOI: 10.4236/ajor.2016.61001 PDF HTML XML 6,771 Downloads 10,585 Views Citations. Abstract. The ...

This paper describes a linear programming optimization model to minimize the cutting waste in production of steel frames for school tables in a carpentry workshop. School tables are assembled from ...

In order to effectively avoid risks that might result in loss of failure in software development process, based on the experiences of software development and project management, this paper identifies ...

This was a collaborative effort by Jackie Mease, Tyler Harris, Johnathan Sparger, Kyle Anderson, and myself, Christopher McManus for Dr. Xiuli He's Decision Modeling and Analysis course at UNC ...

Oil refineries are increasingly concerned with improving the planning of their operations and optimizing not only single production units but the whole production enterprise. However, the modeling of ...

Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. ... Growing applications of linear ...

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very ...