5 trends that mark the evolution of the industry
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Industry is one of the sectors that is most influencing the adoption of a digital transformation strategy. In this sense, Syntax experts have brought together the five trends that are driving the evolution of manufacturing systems in the industry. They are the following:
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 the processes related to production in the supply chain. . 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
Employees’ daily work will be made easier by further integrating SAP processes with Microsoft 365 applications, such as 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 industry 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.
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 crises, efficient management of value-added processes with the help of digital solutions is key to reacting to possible bottlenecks and avoiding, for example, machines stopping due to lack of material.
The industry is not going to be oblivious to agile work methodologies
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.