The connection of devices, sensors, and machines allows for the collection and analysis of real-time data, improving efficiency and reducing production costs in the manufacturing industry. This leads to increased efficiency through process automation and production optimization.
The implementation of comprehensive industrialization policies is crucial to achieve a more sophisticated national economy with higher added value. These policies must take into account the entire production chain and aim to promote greater dynamism in industry, services, and agribusiness, according to the recent annual report “Balance 2022 and Perspectives 2023” by the National Association of Entrepreneurs of Colombia (ANDI).
Comprehensive industrialization policies should focus on three fundamental aspects: investment, international competitiveness, and technological innovation. In this sense, a high technological and innovative capacity will enhance competitiveness, boost productivity, and accelerate economic growth, economic stability, and job creation in general.
The manufacturing industry is constantly evolving, and the Internet of Things (IoT) is the tool that is changing the way manufacturers operate worldwide. Its application optimizes efficiency, reduces costs, and improves product quality. Some of the benefits that a company or industry can achieve by adopting IoT solutions in their manufacturing processes include:
- Predictive maintenance: This involves placing sensors on machines and equipment to monitor their performance and detect potential issues before they occur, thus avoiding unplanned downtime and costly repairs.
- Supply chain optimization: Real-time quality control monitoring of production processes and defect detection. This reduces waste, improves product quality, and optimizes inventory management.
- Energy consumption management: IoT sensors monitor energy levels in production plants or facilities, identifying areas of high energy usage to implement strategies that reduce costs.
- Asset utilization optimization: IoT enables the monitoring of asset location and usage in manufacturing, reducing theft and improving their utilization.
- Enhanced safety and physical integrity of workers: Sensors and cameras can monitor workers in manufacturing plants and detect safety risks. By preventing workplace accidents, efficiency is increased, and costs associated with accidents are reduced.
Therefore, the Internet of Things (IoT) is an effective digital tool to address the new challenges and demands of the manufacturing industry and its markets, including its ability to adapt to changes in demand and customer needs. As a leading company in Latin America in IoT solutions, AZLOGICA® can provide a range of digital tools of 4.0 technology, offering various options in the manufacturing sector to manage, optimize, and control different variables in the production process.
Technological innovation, key in industrial manufacturing
The connection of devices, sensors, and machines allows for the collection and analysis of real-time data, improving efficiency and reducing production costs in the manufacturing industry. This leads to increased efficiency through process automation and production optimization. The implementation of comprehensive industrialization policies is crucial to achieve a more sophisticated national economy with higher added value. These policies must take into account the entire production chain and aim to promote greater dynamism in industry, services, and agribusiness, according to the recent
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At MWC 2023 speed, Barcelona
The importance of the moment that the digital industry is experiencing in advancing new technologies, the development of 5G, and the immediate future of AI and the latent viability of the Internet of Things, were the trends in the first post-pandemic edition of the Mobile World Congress held in the Catalan capital, which had the slogan "Speed". The event featured prominent and massive Colombian participation. The Mobile World Congress, Barcelona 2023, ended last week with a significant presence of the Colombian