SES

From Sustainability Goals to Governance: Case Studies for Enterprise and Facility-Level Engagement

Many organizations have set goals for decarbonization, waste minimization, and water stewardship, and are now evaluating climate- and nature-related risks to their assets and operations. While this assessment is a vital step in strategic planning, establishing governance to track metrics, integrate initiatives into organizational processes, and engage stakeholders at every level is critical to achieving those goals.

Reducing Carbon discharge is one of the important social responsibilities of corporations. During the construction, many teams took mitigation measures to reduce the carbon discharge. However, there is no quantitative method to evaluate the results by proactive method enable the team to visualize the achievement to increase the effectiveness of the initiation. At our Merck Mobius project, Mr.

High-hazard manufacturing facilities pose a unique set of occupational and environmental challenges, from noise-induced risks and fall hazards to constrained equipment access and ergonomic strain from repetitive tasks. These dangers can escalate when handling high-risk materials, increasing the potential for chemical exposure or catastrophic events if not properly managed. Furthermore, the demanding nature of these environments can make it difficult to attract and retain skilled staff.

Included with the In-Person All Access Pass, the add-on fee for the Tuesday Night Celebration is $225 for all other registration passes.

The LEED Rating system has long provided a structured pathway for life sciences and manufacturing facilities to meet ambitious ESG and sustainability targets. The newly released v5 places an increased focus on carbon reduction and strengthens requirements for both embodied and operational emissions, helping organizations align with net-zero commitments. As regulatory pressures grow and greater accountability is demanded, LEED v5 supports compliance with evolving disclosure frameworks while enhancing resilience and operational efficiency.

In September 2024, Hurricane Helene made landfall with devastating force in North Carolina, severely impacting the Baxter North Cove manufacturing facility.

The use of AI methods offers substantial potential, also in regulated areas, as evidenced by various case studies and implementations. However, with industry practices still evolving and regulatory guidance still early stage, organizations still face challenges to seize the potential of AI on scale, in lack of a harmonized and streamlined approach to managing the life cycle of an AI-enabled system and its AI sub-systems while maintaining patient safety, product quality and data integrity.

Scaling AI beyond a pilot requires more than just a successful proof-of-concept—it demands a structured approach to both technical integration and human adoption. This session presents a real-world case study on deploying AI at scale, blending control strategy development with an AI adoption playbook to ensure both technical reliability and workforce engagement. 

Key topics include: 

Identifying and addressing technical hurdles—ensuring AI-generated outputs are reliable, explainable, and aligned with operational needs.  

In today’s competitive landscape, an important factor in drug manufacturing is improving both machine efficiency and uptime. However, time for testing process optimizations on the machine is limited and costly in a running production process. A digital twin for creating and testing visual inspection recipes minimizes machine downtime and offers a significant productivity boost.