A maximally permissive (or optimal) supervisory control of an automated manufacturing system (AMS) modeled by Petri nets (PNs) can be usually implemented by imposing constraints in the form of a set ...

We formulate the stability and positivity criteria as solvable linear programming constraints. Additionally, we prove that the proposed mechanism excludes Zeno behavior by guaranteeing a positive ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

In this context, linear programming (LP) is a valuable mathematical technique to address Benin’s dietary needs. It involves using an objective function and constraints to find values for decision ...

Learn how to tackle resource constraints in linear programming for optimal operations research outcomes.

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

Linear Programming Supply Chain Optimization using Binary and Integer Constraints. There are five customers whose demand has to be satisfied by building one or two warehouses. The table below shows ...

Financial portfolio management Linear programming helps in financial portfolio optimization by selecting the best mix of assets to maximize returns or minimize risk, subject to investment constraints.