A new era in manufacturing is intelligent, insight-driven, and environmentally friendly. The modern manufacturing era has arrived. Regardless of whether your business specializes in discrete or process manufacturing, manufacturers must quickly adapt to shifting consumer demands and technological advancements while juggling effective and sustainable business practices.

In order to create and deliver a more intelligent manufacturing experience for their company, we work together with our clients to combine digital technology with the engineering of complicated devices, vehicles, and equipment.

Globally, the COVID-19 pandemic has had a significant impact on manufacturers, posing dangers to worker health and safety in addition to reducing demand and disrupting supply. However, it has also highlighted important aspects of digitization, automation, employee welfare, and business models that can be expanded upon to develop future manufacturing systems that are more resilient. You must protect the company and its stakeholders from impending disruptions and new threats.

For sustainable growth, you want to review your cost structures and broaden your product line. You should simultaneously maintain top-notch product and service quality.

We use data solutions to improve our readiness for unforeseen events like order delays, equipment breakdowns, and resource shortages. Our business continuity management systems regulate response to incidents and manage change. In order to benchmark performance and keep track of improvement initiatives, we use visualization tools.

The deployment of safe and scalable infrastructure is accelerated by Evolwing’ strategic connections with an ecosystem of cloud service providers. Scalability is a requirement for intelligent automation and machine learning. Using additive manufacturing, servitization, condition-based maintenance, and real-time production planning, Evolwing outlines a roadmap towards Industry 4.0.

Create resilient business processes — To improve capacity utilization and risk management, we digitally modernize our key systems. Additionally, digitization unites data sources, making causal analysis and predictive analytics easier.

Facilitate knowledge exchange and reskilling with our learning tools, which enable remote learning at scale.