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Decision Making in Holistic Approach to Operational Excellence

$249.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the breadth of a multi-year operational excellence program, addressing the same strategic, technical, and human challenges encountered in large-scale process transformation advisory engagements across complex, regulated organizations.

Module 1: Defining Operational Excellence Frameworks

  • Selecting between Lean, Six Sigma, and Theory of Constraints based on organizational maturity and process variability.
  • Aligning operational excellence initiatives with enterprise strategy during annual planning cycles.
  • Establishing cross-functional steering committees to prioritize improvement projects by financial and operational impact.
  • Integrating existing compliance requirements (e.g., ISO, SOX) into the operational framework to avoid duplication.
  • Deciding whether to adopt a centralized center of excellence or decentralized operational ownership model.
  • Developing standardized definitions for key terms like "value stream" and "waste" to ensure consistency across departments.

Module 2: Value Stream Mapping and Process Analysis

  • Conducting end-to-end value stream mapping across departments with conflicting data ownership policies.
  • Choosing between manual process observation and digital process mining tools based on system integration capabilities.
  • Identifying non-value-added steps in regulatory-compliant processes without compromising audit readiness.
  • Resolving discrepancies between documented SOPs and actual frontline workflows during process walkthroughs.
  • Quantifying wait times and handoffs in service-oriented functions where output is intangible.
  • Managing resistance from middle management when process inefficiencies are traced to supervisory practices.

Module 3: Performance Measurement and KPI Design

  • Selecting lagging versus leading indicators based on the predictability of operational outcomes.
  • Designing balanced scorecards that prevent local optimization at the expense of system-wide goals.
  • Standardizing data collection methods across geographically dispersed units with varying IT systems.
  • Setting realistic performance targets that account for external market volatility and supply chain constraints.
  • Addressing gaming behaviors when employees manipulate KPIs without improving actual performance.
  • Integrating real-time operational data with financial reporting systems for accurate cost attribution.

Module 4: Change Management and Organizational Alignment

  • Sequencing rollout of operational changes to minimize disruption during peak production or sales cycles.
  • Training frontline supervisors to coach teams through process changes without increasing turnover.
  • Negotiating role adjustments with HR when process redesign eliminates redundant positions.
  • Managing unionized environments where work rules restrict reassignment or multitasking.
  • Using pilot programs to demonstrate ROI before securing enterprise-wide funding and buy-in.
  • Tracking behavioral adoption through observation checklists rather than self-reported compliance.

Module 5: Technology Integration and Digital Enablement

  • Evaluating whether to customize existing ERP modules or implement best-of-breed operational tools.
  • Ensuring data integrity when integrating shop floor sensors with enterprise analytics platforms.
  • Designing user interfaces for mobile data entry that reduce errors in high-noise environments.
  • Establishing data governance policies for access, ownership, and retention in digital transformation projects.
  • Phasing automation initiatives to avoid overloading IT support teams during deployment.
  • Assessing cybersecurity risks when connecting legacy OT systems to corporate IT networks.

Module 6: Risk Management and Resilience Planning

  • Conducting failure mode analysis on critical processes to prioritize redundancy investments.
  • Developing escalation protocols for operational deviations that balance speed and compliance.
  • Integrating business continuity plans with daily operational controls to ensure readiness.
  • Assessing supplier concentration risk when lean inventory practices reduce vendor diversity.
  • Updating risk registers quarterly to reflect changes in geopolitical, regulatory, or market conditions.
  • Testing crisis response procedures through tabletop exercises without disrupting normal operations.

Module 7: Continuous Improvement and Sustaining Gains

  • Institutionalizing daily huddles with standardized review formats across departments.
  • Rotating improvement team membership to spread knowledge and prevent burnout.
  • Auditing closed improvement projects to verify that benefits are sustained over 12+ months.
  • Adjusting incentive structures to reward problem identification as much as problem solving.
  • Managing improvement backlog by applying portfolio management techniques to prioritize initiatives.
  • Updating training materials within 30 days of process changes to maintain knowledge accuracy.

Module 8: Leadership Accountability and Governance

  • Assigning process ownership to executives with P&L responsibility to ensure accountability.
  • Scheduling quarterly operational reviews with the same rigor as financial reporting cycles.
  • Requiring leaders to participate in gemba walks with documented follow-up actions.
  • Linking leadership performance evaluations to team improvement participation and results.
  • Resolving cross-departmental conflicts over resource allocation during improvement planning.
  • Updating governance charters annually to reflect changes in organizational structure or strategy.