Time for Industries to Prioritize Sustainability: Five Steps for Evolving The Industrial Business Model

  • April 19, 2023
  • Schneider Electric
  • Feature
Time for Industries to Prioritize Sustainability: Five Steps for Evolving The Industrial Business Model
Time for Industries to Prioritize Sustainability: Five Steps for Evolving The Industrial Business Model

While sustainability has become a key industrial concern, the sector has found it difficult to make significant progress. Operating sustainably means industrial companies must simultaneously meet environmental, economic and social measures. Our recent research with Omdia found that in efforts to meet the environmental dimension of sustainability, 57% of industrial organizations are putting carbon-neutral targets in place to completely offset their greenhouse gas (GHG) emissions. However, many are struggling to identify where to take action to meet their targets, with almost half (48%) yet to deploy any sustainability initiatives.
 
As we move into a new era of industries, human and machine activity must blend and become complementary, with more emphasis placed on sustainability. Our research outlines five recommendations for the industrial sector to meet ambitious environmental sustainability targets.


1. Commit to sustainability

Manufacturing companies know that sustainability matters and are pledging action. Their success relies on commitment to the process and setting specific targets to measure success. Key motivators for sustainable change are corporate responsibility (41%), improved performance (26%) and cost savings (23%).
 
Although reduced energy use and waste will result in savings, the sector must go beyond implementing sustainability initiatives that only focus on return-on investment. Industrial companies should think in terms of return-on-value and commit to sustainability projects where benefits will evolve over time and extend beyond direct financial return.
 
In terms of targets, these should be integrated across business functions and owned at all levels of the business to drive organization-wide commitment. One key piece of advice from Omdia in the findings of the report is for industrial companies to consider short and long-term targets by identifying quick wins and more challenging projects ripe for investment.


2. Support with technology

29% of manufacturers state that legacy assets and infrastructure are a major challenge in implementing the technology needed to meet sustainability targets. Industries often measure asset and infrastructure replacement rates in decades, which can slow progress. However, while some legacy assets cannot provide enough data to support efficiency improvements, technology is at the heart of a shift towards sustainability, whether from the most basic level with replacement of inefficient motors, to the application of Industrial Internet of things (IIoT), sensing, artificial intelligence (AI), analytics and digital twins.
 
To measure current and future performance, companies can combine additional sensing with connectivity and data visualization tools. Using this data, they can leverage AI and analytics to optimize energy use and increase quality output. For products and processes, digital twins feed into design, reducing material use and eliminating prototyping, while simulation of processes allows for optimized performance and minimized energy consumption, waste and emissions. According to the study, 54% of manufacturers are already using digital twin tools to design plants, factories and facilities. At the same time, efficient automation and energy management systems top the list of the biggest impact on sustainability initiatives.
 
The benefits of implementing new technology can be seen in the recent digitization of Kunming CGE Water Supply (KMCGE). While primarily implemented to ensure a safe, stable and more efficient municipal water supply, digitalization was critically important to reducing overall operating costs and driving sustainability in water distribution systems. Through implementing new technology, KMCGE’s digital core has been reshaped, reducing leakage and energy waste and improving operational and maintenance efficiencies, allowing it to continue supplying high-quality drinking water to a growing urban population.


3. Have a data-led approach

One fifth (21%) of industrial companies identified a lack of access to the right data as a key roadblock to sustainability progress. This lack of data makes it impossible to find and measure areas for improvement. Tracking performance metrics such as energy use, material consumption and waste across the manufacturing process supports the improvement and evolution of targets. Dashboards can simplify analysis of the carbon footprint of individual assets, processes and facilities.
 
For instance, many organizations do not currently track scope 3 emissions, as this requires transparency across every touchpoint of the supply chain. Quantifying these emissions is not required, however there will be more demand to address this sizable concern in the future, increasing pressure to address data shortfalls.
 
It can be difficult to manage solutions across departments because there is often no digital thread, limiting businesses’ ability to analyse organization-wide sustainability data. Data integration and elimination of silos increases interaction between departments, giving a vital view of datasets, helping to inform decision-making and understanding how to prioritize investments in sustainability projects.


4. Partnerships are important

Going beyond internal changes, manufacturing companies need to hold their ecosystem partners to the same sustainability standards that they have set for themselves. Real change can only be made when the entire value chain acts, and it is vital to engage all stakeholders in new sustainability initiatives.
 
Extending visibility across the supply chain will become necessary as organizations start to be held to account for their scope 3 emissions, and by extension the companies they choose to partner with. The footprint of a business’ supply chain, including upstream purchase of goods and downstream use by customers, will need to be considered as part of total scope 3 visibility, making effective partnerships and data integration essential.


5. Sell the vision

Any sustainability initiative depends on buy-in from all stakeholders. This can be tricky, with 19% of manufacturers noting culture change as a major challenge. Positioning the return on value of sustainability projects to the company is important not only for brand management, but also for increasing employee morale.
 
The large-scale coordination and strategic integration across business functions goes beyond connecting siloed data and systems. If businesses communicate their vision, internally and externally, providing a clear roadmap of goals and activities, this will solicit the buy-in from the workforce and partners needed to succeed. Fortunately, there is weight behind such initiatives: with 78% of industrial companies stating that a C-level role is directly responsible for driving their sustainability efforts.


The long road to sustainability 

When it comes to sustainability, the manufacturing industry has a long way to go and has some difficult decisions to make. Effective action will require a review of existing processes, equipment, organizational culture and technology to identify and tackle inefficiencies and waste. By following these five recommendations, industries and manufacturing can set and hit sustainability targets, evolve and benefit both the planet and their bottom line.

About The Author


Gregory Tink is the Digital Transformation Consulting Director at Schneider Electric where he is responsible for operating Schneider’s digital consulting business in North America.
 
Greg is an Operations Transformation and Technology specialist with more 20 years of industry and leadership experience focused in various process industries. In his prior position, Greg was working as a consultant with Deloitte, as well as various other small- to mid-size companies. In an earlier role with Deloitte where he helped stand-up their Industrial Smart Operations business unit focused on helping companies deliver on their digital enterprise aspirations.
 
Over his career, Gregory has owned four businesses focused on operational excellence, technology enablement and organizational transformation. Leading these operations, he worked with a variety of clients in supporting their digital transformation. This included standing up operations and control centers, the implementation of operations, asset optimization and maintenance platforms, the rollout of cyber security and risk strategies, the integration of OT / IT and the integration of business functions supporting value chain alignment and the digital thread across the asset lifecycle.
 
Greg holds a Bachelor of Arts degree from the University of Calgary in Alberta, Canada.


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