Digital Twins Digital TwinsWhat’s involved. What do they contribute The concept of a digital twin is primarily associated with a physical asset (a product), which is then extended to complex elements with many components, such as a set of assets and processes (a factory, a building, an aircraft…) or an…
oga.Factory. High tech, high impact. The truth is that, although we feel a certain modesty when it comes to talking about the positive impact we have had on industries following the implementation of our solución oga.Factory, ssolution, we also feel a great sense of pride that we sincerely cannot and…
One of the fundamental aspects to take into account when planning logistics for one or more vehicles is to know whether it is necessary to deliver and/or pick up orders within a time slot at each of the service points.
When detecting anomalies in known processes with expected results, we may be interested in analyzing the most recent data to detect atypical deviations that are worth analyzing and anticipate possible serious consequences.
We are all familiar with the problem of distribution, be it medium or long distance or even last mile and the need to consolidate goods in logistics centers as an intermediate step between manufacturing points and final demand points.
We live in a society in which data has replaced oil as the element of greatest commercial value. The ability to aggregate huge amounts of data allows large technology corporations to create new business models and protect them with high barriers to entry.
In a world increasingly dominated by data, there is a tendency to provide advanced intelligence capabilities to end devices, the Edge Computing.
Considerations about the problems of Task Sequencing (Scheduling) and Vehicle Routing (Routing), especially in scenarios of continuous production of goods that must be subsequently delivered to customers, surely with very strict time windows.
In goods delivery problems such as, for example, last mile parcel delivery, we have a set of demanding customers and another set of potential locations where to locate warehouses, intermediate warehouses, lockers or similar.
One of the most common problems that we find when working with datasets is the time that the Pandas library can take to load the data.
How can a digital twin of a business process help me? Introduction In a previous post we have introduced the main concepts of a digital twin, and one of the ones that appeared was that of being linked to a real physical object. Therefore, the first question that arises is,…
The Travelling Salesman Problem (TSP) answers the following question: given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and at the end returns to the city of origin?
Bio-inspired optimization algorithms are those methods that are generally inspired by physical principles, evolution theory and certain behaviors of living beings to efficiently solve optimization problems in very diverse application areas.
A digital twin is nothing more than a simulation of a real object, which allows us to know its state, interact with it, and ultimately simulate its real behavior. A close example would be that of a commercial aircraft flight simulator.
Logistics operations:Are they really optimized? Who guarantees us that the planning we propose for our fleet cannot be improved? Suppose we have to visit 10 points (customers, warehouses, bars, depots…) starting from our central warehouse (the 11 red points in the first image): What is the optimal order to visit…
