This is a software tool which allows industrial companies to manage personalised products. It is designed for companies offering products with multiple options and combinations (for example, different functions, finishes, measurements…)
Within industrial and logistics environments, the configurator should automate the entry of the structure and fabrication route into the ERP, reducing the task of manufacturing engineering and eliminating errors.
It should also integrate with the product’s engineering, co-existing with systems specific to that area such as CAD and PDM and avoiding redundant tasks.
Management software with extraordinary functions in the area of manufacture (such as the configuration of products, structures and routes, detailed analysis of costs, tool management, connection with CAD tools, management of machine preparation times and so on)
APS (Advanced Planning Scheduling)
Software for the planning of finite-capacity production, which sequences operations based on the limitations and restrictions of the factory, suppliers and contractors, according to one or more algorithms. APS solutions can be integrated with ERP, MES (Manufacturing Execution System), CMMS (Computerised Maintenance Management System) and/or WMS (Warehouse Management System) solutions.
The BIG DATA tool provides a data mine analysis, with intuitive interfaces which enable the visualisation of correlations, associations, classifications, regressions and predictions.
We offer hardware/software platforms which are capable of hosting Big Data processes through the combination of on-site computation and corporate and cloud-based servers. Some of the features of these platforms are: multi-CPU devices with secure operating systems, intensive data processing based on reconfigurable technology, integrated mass storage units and so on.
The Big Data tool is focused on the analysis of vibrations, consumption, OEE, improvement of predictive maintenance, product quality and, finally, increasing production in productive plants.
SPC (Statistical Process Control) software solutions enable the application of quality control methods to industrial processes using statistical algorithms.
These tools allow us to improve the quality of the process and product, controlling manufacturing variability to ensure the company’s quality standards.
In contrast to quality control methods based on inspection, SPC tools focus their activity on the detection and prevention of problems more than on their correction.
The resulting benefits come not only in the reduction of quality incidences (saving reprocessing or return costs): another benefit is a reduction in processing times and an improvement in the availability of machines.
PDM (Product Data Management)
The PDM (Product Data Management) system is responsible for providing the tools required to control, standardise and share information relating to products within an industrial company.
Product details affect everything from technical specifications to manufacturing and design specifications, as well as materials used. It is mainly used by the engineering areas of industrial businesses.
PDM helps us to guarantee the high levels of quality that the industry demands, within an environment of great changeability of product versions. It is collaborative from the point of view of engineering and manufacturing processes carried out in different, geographically disparate places.
BI (Business Intelligence)
Organisations currently handle a volume of data that would have been unimaginable only a few years ago. As a consequence of this, the capacity to collect data and information has increased on a daily basis and is now an essential asset of organisations.
Business Intelligence involves managing data which can be transformed into knowledge of the business through the visualisation of correlations, associations, classifications, regressions and predictions.
One of the most important challenges is analysing unstructured data which can occasionally have a very high value and can also be analysed in real time (including, for example, certain behavioural traits of a machine).
A dashboard is the set of business indicators which allow key users of a company to control and make adequate decisions about that company’s operations. This system informs us about the evolution of fundamental parameters of the business.
The indicators will be specialised according to the area of the business to be analysed: financial, commercial, production, logistics, quality, maintenance and more.
Our experience within the industrial sector enables us to advise clients about the best practices in this field, designing and implementing a personalised dashboard system for each company which deals, in an integrated manner, with both management and plant operations.
Cyber-security in industry is an increasingly relevant topic considering that that plants are, after all, critical systems. Production equipment and networks (Operational Technologies–OT) are now no longer isolated. This trend is difficult to stop and forces a rise in interconnection between systems. In the world of information technology, cyber-security tools are evolving rapidly, largely spurred by Internet security issues. Cyber-security solutions can, in many cases, be applied to production equipment (OT), especially when working with non-time-critical solutions. However, at the end of the day, it is now necessary to focus on various different layers of security (Multi-layer cyber-security”). At the Alliance, we use the “Cyber-security by design” approach which introduces security systems on different levels, from the device to the application.
All industrial software should be accessed in a secure manner using an infrastructure which is always available and is accessible from geographically disparate environments, enabling the integration of the entire manufacturing and logistics chain.
A critical infrastructure requires latest-generation equipment and suitable professional services in order to adequately size, configure and administer them. These services lead to an improvement in the level of service, increasing the availability of systems, enabling scalability in capacity and reducing the total cost of all of the above.
Trasladar esta infraestructura a un servicio disponible en Internet Moving this infrastructure to a service available through the Internet (Cloud) enables greater flexibility, avoiding costly investments and providing properly administered, up-to-date systems. All of this includes the guarantee of greater availability and security of data that a specialised supplier is capable of offering.
Monitorisation of plant equipment allows integrated access to all of the information generated by different equipment and plant machinery and allows decisions to be made in real time.
A plant monitorisation system manages all of the information involved in the productive process: manufacturing orders, staff and the status of machines and processes, including incidents and alerts. It also provides the means for the integration of information obtained through machines with management applications (ERP and MES).
Among the typical features of a system with these characteristics are: the collection of plant data in real time, process modelling and the visualisation of production lines and the creation of dashboards, personalised according to the required indicators of the plant.