Frederic H. Murphy, Venkat Panchanadam, Understanding Linear Programming Modeling through an Examination of the Early Papers on Model Formulation, Operations Research, Vol. 45, No. 3 (May - Jun., 1997 ...

In comparing long- and short-term commitments to fulfill demand for some kind of capacity, a linear formulation of the problem may prove useful. The general capacity-planning problem treated here is ...

Methodology Linear Programming Formulation The problem is formulated as a linear programming model with an objective function to maximize the total ROI. The model includes constraints such as budget ...

A novel Mixed-Integer Linear Programming (MILP) model based on continuous time and batch volume formulation is proposed. The objective is to maximize the main pipeline utilization rate for phosphate ...

Learn about the benefits and challenges of using linear programming in operations management, and how to apply it to production planning, resource allocation, scheduling, and routing.

We present results establishing that deterministic long run average problems of optimal control are "asymptotically equivalent" to infinite dimensional linear programming problems (LPP) and that these ...

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 ...

Latest Edition: Linear Mathematical Models in Chemical Engineering (2nd Edition) Understanding the mathematical modeling of chemical processes is fundamental to the successful career of a researcher ...