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Total Quality Management in Introduction to Operational Excellence & Value Proposition

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The curriculum spans the design and execution of enterprise-wide quality management initiatives comparable to multi-workshop operational excellence programs, covering strategic alignment, cross-functional process redesign, and sustained implementation across complex organizational systems.

Module 1: Foundations of Operational Excellence and Quality Management Systems

  • Selecting between ISO 9001, Lean, Six Sigma, or Baldrige frameworks based on organizational maturity and industry requirements.
  • Defining measurable operational excellence goals that align with enterprise strategy, such as reducing process cycle time by 25% within 12 months.
  • Establishing a cross-functional governance council to oversee quality initiatives and resolve resource conflicts.
  • Conducting a gap analysis of current processes against TQM principles to prioritize improvement areas.
  • Integrating customer feedback loops into daily operations to ensure voice-of-the-customer drives improvement.
  • Developing a documented quality policy endorsed by executive leadership to signal organizational commitment.

Module 2: Leadership Commitment and Organizational Culture Transformation

  • Structuring executive accountability for quality outcomes through balanced scorecard metrics.
  • Designing leadership communication plans that consistently reinforce quality expectations across all levels.
  • Implementing recognition systems that reward process adherence and improvement behaviors, not just results.
  • Addressing cultural resistance by identifying and engaging informal influencers within operational teams.
  • Allocating budget for continuous improvement initiatives as a fixed line item, not discretionary spending.
  • Conducting regular Gemba walks with senior leaders to observe processes and demonstrate engagement.

Module 3: Customer-Centric Process Design and Value Stream Mapping

  • Mapping end-to-end value streams to identify non-value-added steps consuming more than 40% of cycle time.
  • Validating customer-defined critical-to-quality (CTQ) characteristics through structured surveys and complaint analysis.
  • Redesigning service delivery workflows to eliminate handoffs between departments where possible.
  • Setting up real-time customer satisfaction dashboards accessible to frontline teams.
  • Using Kano modeling to classify features as basic, performance, or delighters in product or service design.
  • Establishing service level agreements (SLAs) with internal customers to formalize expectations.

Module 4: Data-Driven Decision Making and Performance Measurement

  • Selecting key performance indicators (KPIs) that reflect process stability, such as PPM defect rates or first-pass yield.
  • Implementing control charts to distinguish between common cause and special cause variation in production data.
  • Standardizing data collection methods across sites to ensure comparability in multi-location operations.
  • Deploying automated data capture systems to reduce manual entry errors in quality reporting.
  • Conducting monthly management reviews using standardized performance packs with trend analysis.
  • Calibrating measurement systems using Gage R&R studies before launching process improvement projects.

Module 5: Continuous Improvement Methodologies and Project Execution

  • Choosing between DMAIC and PDCA frameworks based on problem complexity and data availability.
  • Scoping improvement projects to ensure they can be completed within 90–120 days with available resources.
  • Assigning Black Belt or Green Belt leads to projects based on statistical complexity and cross-functional impact.
  • Conducting root cause analysis using 5 Whys or fishbone diagrams with cross-departmental teams.
  • Validating improvement results through before-and-after hypothesis testing (e.g., t-tests, chi-square).
  • Institutionalizing improvements by updating standard operating procedures and training materials.

Module 6: Supplier and Partner Quality Integration

  • Developing supplier scorecards that include on-time delivery, defect rate, and audit compliance.
  • Conducting on-site quality audits of critical suppliers with standardized checklists and risk-based frequency.
  • Negotiating quality clauses in procurement contracts that specify penalties for non-conformance.
  • Implementing supplier development programs for high-impact vendors with recurring quality issues.
  • Sharing process capability data with key suppliers to align on performance expectations.
  • Establishing joint quality review meetings with strategic partners to resolve systemic issues.

Module 7: Change Management and Sustaining Quality Gains

  • Creating process ownership roles with clear accountability for maintaining control charts and response plans.
  • Designing training curricula for new hires that include organization-specific quality tools and expectations.
  • Rolling out visual management boards on production floors to display real-time performance metrics.
  • Conducting periodic internal audits to verify compliance with documented quality procedures.
  • Revising incentive structures to include process adherence and improvement participation metrics.
  • Implementing a tiered review system (daily huddles, monthly ops reviews) to maintain focus on quality objectives.

Module 8: Strategic Alignment and Enterprise-Wide Deployment

  • Aligning quality objectives with annual strategic planning cycles to ensure funding and priority.
  • Scaling successful pilot improvements to other departments using documented replication playbooks.
  • Integrating quality metrics into enterprise risk management reporting for board-level visibility.
  • Conducting benchmarking studies with industry leaders to identify performance gaps and best practices.
  • Managing resistance to enterprise-wide deployment by sequencing rollout based on operational readiness.
  • Updating the enterprise resource planning (ERP) system to include quality data fields for traceability.