Control Engineering

JULY 12, 2023

Learning Objectives Identify how to determine if your company is moving quickly enough with Industry 4.0 Review differences in Industry 4.0, smart manufacturing and digital transformation. Understand Industry 4.0 It has been a dozen years of Industry 4.0 Is there an Industry 5.0?

Industry 4.0 98

Industry 4.0 Industry 4.0 Smart manufacturing Manufacturing 98

Control Engineering

OCTOBER 16, 2023

Control Engineering’s top 5 pieces of content over the past week covered Control Engineering’s 2023 Engineering Leaders under 40, PID methods and PLC standards. When that’s the case, six strategies can simplify the process. Read about the 2023 leaders here Engineering Leaders Under 40 include 34 rising stars of innovation.

Artificial Intelligence 52

Artificial Intelligence Process control Process manufacturing Manufacturing 52

Manufacturer's Monthly

DECEMBER 13, 2022

We can provide the link to these particular experts in different fields, whether it’s processing, manufacturing, food and beverage. It streamlines the process of providing the end user with the expertise they require.”. The industrial automation, robotics, and engineering company catering to Industry 4.0

Automation 52

Automation Industry 4.0 Industry 4.0 Rapid prototyping 52

Control Engineering

OCTOBER 7, 2023

Digitalization, process control insights Shenghong Petrochemical and Honeywell collaborate on integrating digitalization and plant optimization control technologies, reducing manual operation more than 50% and increasing propylene yield more than 0.1%.

Process control 52

Process control Artificial Intelligence Benchmarking Automation 52

Control Engineering

AUGUST 14, 2022

For example, one of Corning ’s optical cable manufacturing plants has already tested how 5G and mobile edge computing can help with process control, monitoring and quality assurance. Figure 1: Beyond streamlining processes, manufacturing facilities can expect to see more accurate production and fewer disruptions.

Assembly Line 105

Assembly Line Artificial Intelligence Automation Manufacturing 105

Control Engineering

JANUARY 4, 2023

Understand the shift toward the smart factory and the challenges process manufacturers face. Distributed control system (DCS) users are working toward eliminating the proprietary nature of automation and working toward a universal standard for process control industries. Learning Objectives.

Automation 98

Automation Control Algorithm Process control Industry 4.0 98

Control Engineering

MARCH 9, 2023

Analytics insights Sustainability has been recognized as an area of significant importance in the process industries, but many organizations face challenges accessing and connecting data from siloed systems. This is best-accomplished with near-real-time plant data in a common enterprise-wide platform.

Benchmarking 97

Benchmarking Process manufacturing Automation Compliance 97