Alejandro Quiroga of Children's Mercy Kansas City says healthcare keeps treating workforce burnout like an engineering problem when it requires hypothesis-driven leadership instead. When hospital ...

Abstract: The algorithms and software tools for solving large-scale NP-hard MILP (mixed-integer linear programming) problems are analyzed, specifically focusing on the modeling of electric power ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

ABSTRACT: For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment ...

In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is much more than a way to create a pretty pattern. Consisting of a surface ...

Executive coaching is incredibly valuable to leaders, but it can be hard to access at the moment they need it the most. Take a client of mine, “Simon,” a capable and newly promoted executive in a ...

Abstract: Petri net is a graphical and mathematical modeling tool for concurrent systems. Business work flow is one of successful application area of Petri net. Workflow net is a subclass of Petri net ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The brain makes everyday tasks feel simple, even when they involve many moving parts. It does this by breaking big goals into smaller, bite-sized steps. That’s how someone can head out for coffee ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...