Edge computing in manufacturing has become popular as an Industry 4.0 technology solution. What was once the domain of cloud computing is now met by a competing force that redefines manufacturing operations.
Today, decision-makers must anticipate the fresh roles and responsibilities created by these smart manufacturing systems.
In this guide, we take a close look at the tech trend by identifying the difference between edge computing and cloud computing, and their influence on plant floor operations.
Edge Computing in Manufacturing
The primary difference between edge computing and cloud-based systems lies in their distributed structure.
Cloud computing stores data on a centralized server, often located far from end users. In comparison, edge computing is located at the “edge” of a network, providing quicker access to sensors, machines, and devices in manufacturing plants.
How Edge Computing Impacts Plant Floor Operations
The proximity of edge computing empowers plant floor teams with real-time data processing, unlike cloud computing, which continues to face network latency issues. As such, manufacturing teams have leveraged the new technology to expedite time-sensitive decisions critical to their plant operations.
Implementing these solutions can enhance operational efficiency and consistency in predictive maintenance strategies. Industry reports indicate that manufacturing teams utilizing edge computing have seen operational efficiencies increase by 20% through automation and a decrease in downtime.
Emerging Roles in Decentralized Manufacturing Operations
Edge computing has led to the rise of new industry standards in the manufacturing ops talent search. It is strategic for manufacturing leaders to focus on cross-skilling and upskilling in the following talent areas:
Data Analysts and Edge Computing Specialists
Hires may include cloud experts familiar with the latest analytical tools repurposed for edge systems.
Cybersecurity Experts
Companies would need to gradually heighten cybersecurity in manufacturing. For instance, operational initiatives may include compliance and security controls and measures, as well as the development of edge-focused infrastructure.
Maintenance Technicians
On-the-ground service teams may see a rising need for IoT in manufacturing to secure data transfers between edge servers and endpoint devices. Specialized Edge Computing Trainers – Facility leaders could witness an increased demand for edge-certified trainers. These learning and development (L&D) hiring trends would equip operational teams with the skills to adapt to the decentralized manufacturing climate.
Best Practices for Recruiting in the Evolving Manufacturing Landscape
Experts project the growth of the global smart manufacturing market from $349.48 billion in 2024 to $998.99 billion by 2032, at a CAGR of 14.2%. Manufacturing employers can stay ahead of the ensuing workforce curve by optimizing their hiring strategies with multi-channel sourcing.
For instance, employers should adopt a comprehensive hiring process that spans social media platforms, conventional job boards, and IT schools. These could attract the right job fit based on company culture and edge computing competencies.
It is also strategic for companies to enhance their employer branding during the technological shift toward decentralized manufacturing operations. Workforce trends suggest that structured onboarding in manufacturing can improve employee retention by 69% and raise productivity by 50%.
Recruitment campaigns could improve with standardized interview methods and job descriptions. Particularly, hiring teams could emphasize the long-term career fulfillment associated with edge computing roles.
For example, companies may craft JDs that promote clear edge computing-related progression pathways and training opportunities.
Training and Development Strategies for Existing Workforce
Manufacturing employers can enhance employee management during tech adoption by integrating streamlined hiring processes with systematic training initiatives. Continuous learning programs can help encourage the existing workforce to stay confident and efficient through the operational overhaul.
Employers could also collaborate with third-party technological institutions in overseeing company-wide upskilling. Expert-led partnerships during the adoption phase ensure that teams follow the latest industry standards. Management teams and new hires alike can acquire mentorship during these collaborations to maintain best practices for manufacturing hiring.
Preparing Your Manufacturing Plant For Edge Computing
Edge computing has reshaped manufacturing through the continuous advancement of 4.0 technologies. And now, hiring teams face a critical juncture where they need to update their workforce engagement techniques to achieve the best outcomes.
Proactive manufacturing talent acquisition, which combines a comprehensive sourcing strategy, collaboration, and active learning, can attract top talent.
Visit MRINetwork to learn how your team can succeed in the edge computing era through strategic workforce development.
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