What good looks like:

• Embedded process optimization: Processes are designed to be continuously efficient despite varying operational conditions.
• Continuous manufacturing innovation: Cutting-edge manufacturing technologies and systems are integrated in production and process designs.
• Streamlined workflows: Work systems are streamlined and collaborative to increase productivity.
• Customer-centric manufacturing: Production operations are designed to continually meet customer needs.

What good looks like:

• Scalable manufacturing: Automated physical and process systems enable rapid scaling and downsizing of operations based on market demand.
• Collaborative robotics: Robotic systems are seamlessly embedded in manufacturing processes and work systems.
• Overall process optimization: Automated tasks drive end-to-end operational and cost efficiency.
• Consistency and reliability: Automated systems consistently deliver high-quality outputs in all operating conditions.

What good looks like:

• Seamless communication: Advanced collaboration tools enable constant communication and alignment across internal departments and suppliers.
• Integrated operations: All operations from raw materials receiving to production and shipping flow continuously.
• Automated scheduling: Production tasks are optimally assigned based on real-time external (demand/supply) and internal (production) data.
• Synchronized value chain: Materials flow in a continuously optimized manner from extraction to usage and end-of-life management.

What good looks like:

• Workforce modernization: Reimagine manufacturing work, workforce, and workplace with optimized human: technology collaboration.
• Organizational strategy and design: Structure the right governance and blend of resources to deliver value.
• Workforce and talent: Define talent strategies and skills using human-centered design.
• Change and learning: Embed change management and training to sustain transformation adoption.
• Responsible supply chain: Advance climate equity and human rights to improve worker safety.

What good looks like:

• Expansive operational scope: Execution excellence is sustained across different product types and operating conditions.
• Data-driven decision-making: Strategic and operational decisions are driven by widely available data analytics.
• Bottom-up optimization: Operators are empowered with tools to help them identify optimized methods to carry out daily tasks.
• Sustained engagement: Employees exhibit a culture of execution excellence in their daily work.

What good looks like:

• Instant intelligence: On-demand access to real-time asset condition and performance across entire network.
• Proactive maintenance: Maintenance processes and procedures are always conducted before performance issues arise.
• Skilled workforce: Maintenance and production staff are always capable of properly handling and maintaining their assets.
• Continuous compliance: Asset performance conditions and maintenance procedures continuously adhere with regulatory and safety regulations.

What good looks like:

• Close-loop detection and containment: Quality is continuously monitored with closed-loop method for containment.
• Upstream prevention: Quality failures are prevented through product and process design for quality; ownership of quality is upstream.
• In-process sensing and prediction: Analytics and in-process technology is used to predict cause-and-failure-mode occurrence before the effect occurs.
• Customer-driven quality: Quality requirements and processes are designed to meet customer needs.

What good looks like:

• Safety by design: Production processes and procedures seamlessly integrate safety into day-to-day work.
• Carbon footprint intelligence: Analytics on energy consumption, carbon emissions, and environmental interaction are readily available.
• Operations-viable sustainability: Sustainable practices are efficiently embedded in operations and aligned with business objectives.
• Zero-incident manufacturing: Safety incidents are anticipated and prevented using digital technology and advanced analytics.

Impact

• Lower operating costs and less technology debt
• Clear strategy to scale IT/OT convergence
• Agility to respond to changing manufacturing needs and business objectives
• Greater access to top talent

Impact

• Rapidly activate new digital ventures with access to top talent
• Immediately access technology resources without having to recruit
• Adopt industry-leading processes
• Harness data to drive valuable insights
  

Impact

• Integrate technology into daily operations
• Quantify business outcomes with actionable insights, KPIs, dashboards
• Optimize workforce, continuous improvement capabilities