Pasé más de veinte años construyendo modelos de optimización de rutas para empresas — flotas de reparto, distribución de alimentos, servicio en campo. Esos modelos vivían en archivos de Excel que solo yo podía correr, así que hace unos meses decidí publicarlos en la web, gratis. En este artículo te cuento qué debería tener un optimizador de rutas gratis de verdad, qué opciones existen hoy, y qué hace el mío distinto — con sus límites incluidos, porque también los tiene.
Continue reading “Optimizador de rutas gratis: mi planificador de repartos”Onfleet Alternative: A Free Route Optimizer, No Minimum
Onfleet is one of the few routing and delivery platforms that actually publishes its pricing, which I respect. But the number itself, $599 a month to start, before you’ve routed a single stop, is exactly why people go looking for an onfleet alternative. I build optimization software for a living, and the free tool below solves the same routing math without a monthly minimum.
Free Hotel Staff Scheduling Software
A hotel front desk never closes, which means someone senior has to be reachable at 3am just as much as at 3pm — even though the person who can actually approve a comp or handle an angry guest at 3am is a different kind of role than the night auditor working the desk. Housekeeping runs on its own tight window, and maintenance mostly doesn’t need covering overnight at all.
Why a Tiny Scheduling MILP Took Minutes: CBC vs HiGHS
My generalized staff scheduler is a small optimization problem: eight people, a week of half-hour slots, about five thousand binary variables. By modern standards that is tiny. So when it started taking minutes to solve — or worse, returning nothing at all — my first reaction was disbelief. This post is the story of CBC vs HiGHS on that exact model, and the four fixes that actually mattered. If your PuLP + CBC model is grinding, some of these will probably apply to you too.
Continue reading “Why a Tiny Scheduling MILP Took Minutes: CBC vs HiGHS”From One Client’s Rules to Any Team: A General Scheduler
The staff scheduler I built for that Fiverr client did exactly one job. It knew about his clients, his courses, his equipment, his week. It was a good staff scheduling model for precisely one business on Earth. Every sheet name, every constraint, every assumption was his. When I put it online I knew the truth: nobody else could use it without hiring me to rebuild it. So I rebuilt it once, properly, for everyone. This is how the generalization went.
