THE SCIENCE
OF DECISION
MAKING
The incorporation of mathematics and artificial intelligence in business decision-making processes are generating the revolution called Industry 4.0, which allows the design of business processes and services, improving the relationship with customers, production systems and work environments.
We have worked with a wide variety of companies, supporting process automation and management optimization in various areas of the value chain, from sales and customer management to production and procurement management.
INDUSTRY 4.0
ORIENTED
We can help you out...
HOW DO WE DO IT?
We look for solutions to each case. Each project begins with the necessary meetings to understand the problem in general, then a roadmap is proposed, in which the working methods are designed and the mathematical and artificial intelligence models are proposed. This roadmap is validated with each client.
OPERATIONS
RESEARCH
Logical mathematical methods to support decision-making
ARTIFICIAL
INTELLIGENCE
Integration of human and machine work
By applying advanced analytical methods we can perform the necessary calculations that help us make better decisions. The main techniques employed, listed below and used together, involve the construction of mathematical models that describe the system.
Artificial intelligence is a set of algorithms and mathematical methods, with learning capacity, whose application is designed to form high-performance teams in which humans and mathematical algorithms / methods participate and complement each other.
The applications of artificial intelligence are diverse, for example: image processing for the control of processes or qualities in a supply chain, sentiment analysis in the company / customer relationship, call center automation, extraction of patterns in databases to analyze behaviors.
The main techniques we use are the following:
OPTIMIZATION ECONOMETRICS SIMULATION
STATISTIC ANALYSIS
ARTIFICIAL VISION MACHINE LEARNING BIG DATA
NEURAL NETWORKS
SERVICES
Our goal is to improve every part of the company using analytical methodologies that optimize management. We seek to reduce costs, increase sales, improve processes, reduce inventories and automate the control of operations in the short, medium and long term.
SALES AND DEMAND FORECAST
Management or decision-making processes require estimating the future behavior of customers, markets, competitors or users, among others. At present, the ease of access to own or third party data enables mathematical techniques to make increasingly accurate estimates. We use multiple statistical and artificial intelligence models to obtain the best fit projections.
PLANNING AND ALLOCATION OF HUMAN AND MATERIAL RESOURCES
Companies need to plan and allocate resources in multiple situations and
for different planning horizons. We design solutions that use optimization tools, considering linear and non-linear mathematical optimization techniques.
PRICING/
REVENUE MANAGEMENT
For a product or service, a company is faced with the decision of what to sell, to whom, how much and at what price. We offer the necessary statistical and optimization tools to support decision-making in this area, with the aim of maximizing the company's revenue. This objective involves, among others, the estimation of demand, the calculation of its elasticity and the construction of the price policy.
OPTIMIZATION OF PRODUCTION AND LOGISTICS PROCESSES
When a production plant or a distribution service has a production or distribution request, the question to ask is how to do it at the minimum cost. Through our process optimization service, we design and build the algorithms necessary to determine the order and sequence of production and / or distribution according to the order, product characteristics and available resources in such a way that total production costs are minimized. or logistics.
PRODUCTION AND QUALITY CONTROL
The traditional procedure when producing is usually to control the quality of the products by sampling at regular intervals between batches. However, today there is the possibility of controlling online each of the products created and their quality, being able to detect any quality failure or problems in their production instantly and anywhere in the world, thus avoiding wasted time and money. For this we can use measurement instruments, such as artificial vision, thermographic or volume cameras, thermometers and speedometers connected through the Internet of Things, or humidity and pressure meters among others, together with the development of artificial intelligence algorithms to develop customized solutions for each type of system
of production.
DESIGN OF PRODUCTION AND LOGISTICS PROCESSES
In each production plant, machine or process it is necessary to define a series of rules so that these are used in the most efficient way. Some examples: design of the use of hospital pavilions, design of supermarket checkouts, design of fruit packing, etc. In general, it corresponds to the design of an infrastructure to operate efficiently, the steps to follow in the operation of certain machinery or even the design of the purchase of machinery. The objective of all of them is the same: the optimal use of all the resources that we have.
INVENTORY AND SUPPLY OPTIMIZATION
To a greater or lesser extent, all companies must decide when, what and how much to buy and at what price, in addition to managing their inventory policy to optimize profits. As part of this maximization, it is necessary to estimate consumption, optimize costs and balance them at the required service level. What may be feasible for a few products, becomes impossible when it comes to multiple products, so it is necessary to do it automatically through algorithms to obtain the optimal quantities for the company.
AUTOMATIC CONTROL OF OPERATIONS
The use of measuring instruments is not exclusive to the control of repetitive processes, and their field of use is very extensive. Some of its uses may be to control the flow of people to control the number of people who use a facility, control usage times, study the use of infrastructures or the optimization of product placement to generate a greater impact or revenue. On the other hand, the operating times of machinery can also be controlled automatically, knowing in every second the amount of inventory that there is
in a warehouse, control of the fixed assets of a company or even environmental factors.
The great benefit of this technology is to stop storing hours of security camera recording or hours of active surveillance to move to automated surveillance and reflected in data.
OUR CLIENTS
Because they already trust us, they are our best guarantee
Solver Ingenieros was created in 1997, has engineers with master degrees in mathematics and has focused on the development of mathematical models, heuristics, algorithms and measurement instruments.
Since its inception the company has been dedicated to the continuous study of innovative methods to find solutions to industrial and business problems.