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Five trends of manufacturing systems in the industry for this year

The industrial manufacturing systems have evolved steadily over the last few years. The digitization of the supply chain, the evolution of the means of production, the application of new technologies and automation have completely changed the way we work. For this reason, experts from the global IT services provider, Syntax, have highlighted the top five industry trends that are already breaking into force in this 2022.

Trend 1. Production systems move to the cloud

As in other sectors, the cloud is also having an impact on manufacturing and is becoming a more strategic model, not only as a point to concentrate data and analyze it, but also as an integrator of processes related to production in the supply chain. supply. The trend is clear: more and more companies will take their production systems (MES, in its English acronym) to the cloud. An example of this is, according to Syntax consultants, SAP Digital Manufacturing Cloud (DMC).

Trend 2. Integration of SAP and Microsoft

The daily work of employees will be easier through greater integration of SAP processes with Microsoft 365 apps like Teams, Power Apps, or Power Automate for workflows. For example, maintenance employees, who do not use SAP regularly, can plan and control orders in the familiar Microsoft environment and trigger the necessary SAP processes in the back-end from there.

Trend 3. Adoption of ‘agile’ approaches

The industrial sector is not going to be oblivious to agile work methodologies. Agile-based projects are going to replace rigid processes with dynamic and effective projects, in which end users will be involved from the initial phases to solve complex problems more easily through more interaction.

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Trend 4. Digitization of the supply chain

The pandemic has made many manufacturing companies aware of the importance of managing the digital supply chain well. Regardless of the crises, it is key to carry out a efficient management of value-added processes with the help of digital solutions to react to possible bottlenecks and prevent, for example, machines from stopping due to lack of material.

Trend 5. Predictive analytics

Performance indicators such as simple data collection are a thing of the past: Using data analysis supported by artificial intelligence (AI) and machine learning (ML), industrial companies tend to combine data from different processes to extract quality data and make decisions that allow them to improve their strategy and their products

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