Blog Industry 4.0

IoT and SDGs. Smart city platforms

The smart city platforms can serve as a key element for the effective implementation of the measures needed to achieve the objectives.

Digital transformation represents the set of innovations that change the reality of public administration employees and of the cities themselves and their citizens. To this end, all the actors in this digital transformation must understand it, and know how to adapt and see these technologies as allied tools and not as hostile elements.

The digital transformation supported by an incremental deployment of digital transformation platforms is Smart City in the different city verticals, can and must become a key element to achieve the goals proposed by the Urban Agendas 2030, being an ecosystem of solutions and standards that support and substantiate any Strategic Plan developed around the SDGs, from the Vision, Mission, Values, Action Plans, objectives, indicators, etc.

From this perspective, a smart city platform should be aligned from its initial implementation with the 17 sustainable development goals of the 2030 Agenda.

Therefore, a Smart City Platform should provide a technological ecosystem capable of supporting the Urban Agendas 2030, being able to integrate the information generated by the different city initiatives aimed at achieving improvements in any of the SDGs and their associated targets.

This requires clear strategic and operational objectives, with defined and easily automatable metrics and indicators, and appropriate dashboards to provide the knowledge necessary for appropriate, proportionate and, above all, data-driven decision making.

IOT helps in the integration of continuous improvement, the essence of which is that if you want to improve a parameter magnitude you have to measure it first, i.e. you cannot improve what you cannot measure.

The availability of a Smart City with the capacity to implement this model for generating information on the different service verticals across the city, optimising decision-making thanks to the exploitation of the data collected and analysed by means of cutting-edge solutions: Artificial Intelligence, Predictive Analytics, Big Data and Big Data social, BI, ML, etc.

Blog Lean Manufacturing Smart Insights

Lean Manufacturing & IoT

Lean manufacturing aims at truly efficient manufacturing.
With the help of IoT This is achieved by enabling teams and tools to automatically collect data, share it and even interact with information from other data sources, as well as with other processes, opening the organisation's doors to a new way of working.
By accessing and centralising data from equipment and processes, IoT technology is able to provide manufacturers:

  • A new level of visibility.
  • Access to real-time performance data.
  • Instant knowledge of all global operations.
  • Possibility to balance and optimise scheduling on the fly, during the production process, adapting to market variability.

Far from simply monitoring throughput, quality or equipment failure records, this new approach has the ability to configure an optimal manufacturing scenario based on current demand. Operations can be successfully completed by making changes to production, processes or facilities to ensure optimal conditions for managing demand at any given time.

But that's not all, the advantages don't end there, because in addition to the typical production scenarios, intelligent equipment will be able to:

  • Monitor themselves and improve their own performance, such as energy usage, to avoid peak demand charges. Automated preventive maintenance becomes possible as the machine knows and communicates its own status of required corrective actions, keeping it running at optimal productivity.
  • Suppliers can better manage the delivery of parts into inventory, which can be automatically replenished based on real-time data.
  • Automatically adjust equipment settings to minimise waste.
  • Streamlining production processes. As more companies incorporate new IoT and analytics capabilities, they are transforming their manufacturing processes. Such as predictive maintenance enabled by predictive tools and machine learning, identifying and correcting potential problems before they occur.
  • Improving after-sales service. This is another area where lean manufacturing increases its value thanks to IoT. Support is improved thanks to new levels of product connectivity and the information provided by sensors and devices. Manufacturers can effectively collect data from customers in use. And so improve service and support.

The benefits of IoT for lean manufacturing extend far beyond processes within a single organisation. IoT can help optimise the interaction between manufacturers, suppliers and other business partners, improving the flow of information about materials, demand and product usage. At the same time, the internet of things in lean manufacturing is the beginning of a renewed value proposition that only strengthens the bond with the customer and fosters customer loyalty to the brand.

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