Article | Smart Manufacturing

Bridging the Gap: How Integrating Sustainability and Technology Drives Decarbonization

Industry engineer in factory using smart tablet device to control networking for auto industry. Smart industry 4.0 technology concept.

Manufacturing has long been the backbone of Asian economies, but traditionally it has also bourn significant responsibility for environmental damage.

According to the World Economic Forum (WEF), the Asia Pacific region is responsible for 51% of annual greenhouse gas emissions (GHG), produced from a number of industries, manufacturing included.

Unfortunately, many manufacturers view sustainability and technology as separate priorities, missing the potential for synergies that drive both efficiency and environmental benefit. A WEF study found that integrating digital technologies such as big data analytics and artificial intelligence (AI) into decarbonizing operations could cut GHG emissions by 20%

Aligning these two priorities and integrating sustainability with smart automation from the start offers a compelling pathway to lower emissions, resource efficiencies, and a more sustainable future. We are making some progress—according to our latest State of Smart Manufacturing report, 95% of manufacturers have smart manufacturing on their radar, and 91% have an ESG policy in place—but more needs to be done.

The Synergy of Automation and Sustainability

Automation is recognized for boosting productivity and reducing costs, but its role in driving sustainable processes in the manufacturing industry is often overlooked. Smart automation transforms manufacturing by optimizing processes to reduce material waste, emissions, and inefficiencies.

Predictive maintenance technology enables businesses to plan maintenance, maximizing the use of resources and materials. FactoryTalk Analytics GuardianAI, for instance, monitors equipment and alerts the maintenance team when something is wearing down. It helps identify the likely cause of failure so repairs can be scheduled with the right tools and parts ready. This reduces repair time and prevents unexpected downtime.

By integrating real-time monitoring tools and process optimization technologies, businesses can identify inefficiencies quickly, leading to more controlled and precise operations. Manufacturing Execution Systems (MES) for example, use real-time data to make better decisions and ensure smoother production. This manufacturing software offers real-time production management, enhancing compliance and quality across the enterprise.

Integrating IoT promotes sustainable practices too. IoT sensors and devices can monitor energy consumption in real-time, helping manufacturers identify areas for improvement. The accumulated data can be analyzed to optimize energy usage, leading to reductions of carbon emissions. By providing real-time insights into both energy use and waste management, IoT empowers manufacturers to improve sustainability and operational efficiency.

For example, ST Engineering, a Singapore aerospace and defense technology company, employs IoT for energy

management in its manufacturing facilities, enabling real-time monitoring of energy usage. The optimization of systems has led to significant reductions in waste, energy consumption, and costs.

Originally published in CIO World Asia

Marcelo Tarkieltaub

Regional Director, Southeast Asia, Rockwell Automation

Based in Singapore, Tarkieltaub is responsible for sales and business operations across Singapore, Malaysia, Indonesia, Philippines, Thailand, Pakistan and Vietnam. Prior to Southeast Asia, Marcelo was Regional Director, Southern Cone, a portfolio within the Latin America region covering the markets of Argentina, Chile, Peru, Paraguay, Uruguay and Bolivia. He has over 20 years of experience at Rockwell Automation and possesses deep knowledge of driving high performance teamwork in multicultural environments. Marcelo holds an MBA from Fundação Getulio Vargas and Bachelor of Science, Electrical Engineering from Universidade de São Paulo. Marcelo is fluent in English, Spanish, Portuguese.